Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies

Dan J. Stein; Peter Szatmari; Wolfgang Gaebel; Michael Berk; Eduard Vieta; Mario Maj; Ymkje Anna de Vries; Annelieke M. Roest; Peter de Jonge; Andreas Maercker; Chris R. Brewin; Kathleen M. Pike; Carlos M. Grilo; Naomi A. Fineberg; Peer Briken; Peggy T. Cohen-Kettenis; Geoffrey M. Reed

doi:10.1186/s12916-020-1495-2

Forum
Open Access
Published: 27 January 2020

Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies

Dan J. Stein ORCID: orcid.org/0000-0001-7218-7810¹,
Peter Szatmari²,
Wolfgang Gaebel³,
Michael Berk^4,5,6,7,
Eduard Vieta⁸,
Mario Maj⁹,
Ymkje Anna de Vries¹⁰,
Annelieke M. Roest¹⁰,
Peter de Jonge¹⁰,
Andreas Maercker¹¹,
Chris R. Brewin¹²,
Kathleen M. Pike¹³,
Carlos M. Grilo¹⁴,
Naomi A. Fineberg¹⁵,
Peer Briken¹⁶,
Peggy T. Cohen-Kettenis¹⁷ &
Geoffrey M. Reed^13,18

BMC Medicine volume 18, Article number: 21 (2020) Cite this article

16k Accesses
27 Citations
23 Altmetric
Metrics details

A Commentary to this article was published on 27 January 2020

Abstract

An update of the chapter on Mental, Behavioral and Neurodevelopmental Disorders in the International Classification of Diseases and Related Health Problems (ICD) is of great interest around the world. The recent approval of the 11th Revision of the ICD (ICD-11) by the World Health Organization (WHO) raises broad questions about the status of nosology of mental disorders as a whole as well as more focused questions regarding changes to the diagnostic guidelines for specific conditions and the implications of these changes for practice and research. This Forum brings together a broad range of experts to reflect on key changes and controversies in the ICD-11 classification of mental disorders. Taken together, there is consensus that the WHO’s focus on global applicability and clinical utility in developing the diagnostic guidelines for this chapter will maximize the likelihood that it will be adopted by mental health professionals and administrators. This focus is also expected to enhance the application of the guidelines in non-specialist settings and their usefulness for scaling up evidence-based interventions. The new mental disorders classification in ICD-11 and its accompanying diagnostic guidelines therefore represent an important, albeit iterative, advance for the field.

Introduction

Dan J. Stein (Fig. 1) and Geoffrey M. Reed (Fig. 2)

Classification systems for mental disorders continue to receive considerable attention. Work by the World Health Organization (WHO) on the Eleventh Revision of the International Classification of Diseases and Related Health Problems (ICD-11) and by the American Psychiatric Association on the Fifth Edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) has led to vigorous debates in the scientific literature, among clinicians and health advocates, and in the lay media (for example, regarding the inclusion of gaming disorder and compulsive sexual behaviour disorder) [1, 2]. In the context of the recent approval of the ICD-11 by the World Health Assembly and its pending implementation around the world, a number of questions arise regarding the status of nosology of mental disorders as a whole as well as about changes to the diagnostic guidelines for specific conditions and the implications of these changes for practice and research.

First, the need for two classification systems — the ICD and the DSM — has been questioned. At first glance, it seems odd that there should be contrasting approaches to mental disorders. However, different diagnostic systems are arguably needed for different purposes. The DSM-III, for example, made an enormous contribution by ensuring that diagnostic procedures were reliable, providing a foundation for mental health research and leading to DSM criteria being rapidly adopted by investigators. During the development of the chapter on Mental, Behavioral or Neurodevelopmental Disorders in ICD-11, a particular focus was placed on clinical utility and global applicability [3] based on the idea that this would lead to a classification system that is of particular value for global mental health, providing WHO member states and health professionals with a better tool for reducing the mental health treatment gap and the global burden of mental disorders.

Second, does the updating of classification systems in fact strengthen mental health practice and research? A great deal of dissatisfaction has been expressed with current nosologies; criticism ranges from the view that our nosologies have medicalized problems of daily life, to the view that the constructs employed in existing classifications are insufficiently grounded in contemporary neuroscience. Still, it is difficult to argue with the general principle that comprehensive evaluation and differential diagnosis is a key part of clinical practice. Furthermore, there have been impressive advances in the science of nosology — a classification system that is more reliable, with better diagnostic validity and greater clinical utility should certainly contribute to stronger practice and research.

Third, how important is the recent release of the ICD-11, with its updated chapter on Mental, Behavioral or Neurodevelopmental disorders? What specific changes does it contribute to psychiatric nosology and how valuable are these changes for clinicians and patients?

In order to begin to address these questions, we asked a range of authors to comment on revisions to the ICD-11 from the perspective of their specific areas of expertise. The commentaries that follow cover a range of important mental disorders and will bring readers up to date on many of the questions and controversies regarding their diagnosis, on how the ICD-11 has addressed these, and the implications for clinical practice and research.

The focus of the commentaries in this article is the Clinical Descriptions and Diagnostic Guidelines (CDDG) for ICD-11 Mental, Behavioual and Neurodevelopmental Disorders developed by the WHO Department of Mental Health and Substance Abuse. The version of the ICD-11 intended as a basis for statistical reporting does not provide sufficient information for reliable clinical application, The CDDG is a more comprehensive version that provides clinicians with detailed clinical guidance for diagnosing mental disorders in clinical settings. A draft review version of the CDDG for most disorder groupings is available for review and comment by members of the Global Clinical Practice Network (https://gcp.network). The statistical version is available at https://icd.who.int/dev11/l-m/en.

Neurodevelopmental disorders in the ICD-11: has the term outlived its usefulness?

Peter Szatmari (Fig. 3)

Classification systems are made to carry a heavy burden. They serve multiple purposes in supporting clinical activities, treatment planning, conducting research and in policy decision-making. In child and youth mental health, and in particular neurodevelopmental disorders, diagnosis and classification also tend to generate an enormous amount of controversy, which can confuse stakeholders who rely on consensus-based classification systems to make policy and clinical decisions. The Neurodevelopmental Disorders section of the ICD-11 represents a significant departure from the ICD-10 and is very much aligned with recent decisions made by the DSM-5. But it is still hard to please everybody.

The term ‘neurodevelopmental disorders’ has a long history, yet it had not been included in previous editions of the ICD or the DSM. The term applies to a group of disorders of early onset that affect both cognitive and social communicative development, are multi-factorial in origin, display important sex differences where males are more commonly affected than females, and have a chronic course with impairment generally lasting into adulthood [4]. The term distinguishes these disorders from other more common disorders of childhood, such as anxiety and mood disorders, which were thought to arise from some type of psychosocial adversity and have a more episodic course. In the ICD-11, the category ‘neurodevelopmental disorders’ includes (1) disorders of intellectual development, (2) developmental speech or language disorders, (3) autism spectrum disorders (ASD), (4) developmental learning disorders, (5) developmental motor coordination disorder, (6) attention deficit hyperactivity disorder (ADHD), (7) stereotyped movement disorder, and (8) a remainder category labeled ‘other neurodevelopmental disorders’.

There are a number of very important departures from the ICD-10, which are consistent with recent literature and follow, in spirit, the changes from the DSM-IV to the DSM-5 [5]. First, the ICD-10 does not have a specific grouping for neurodevelopmental disorders and uses slightly different terminology for the specific conditions that have been included within it — ‘mental retardation’, ‘disorders of psychological development’, and ‘pervasive developmental disorder’ are the terms used instead. Second, hyperkinetic disorder (now termed ‘attention deficit hyperactivity disorder’ in ICD-11) appears under the ICD-10 category of ‘behavioral and emotional disorders with onset in childhood or adolescence’. Third, it is notable that, in the ICD-10, pervasive developmental disorder is exclusionary for hyperkinetic disorder, a stipulation that is no longer present in the ICD-11. Now, in the ICD-11, both ASD and ADHD may co-exist in the same individual. The age of onset for ASD is now in the early developmental period rather than being specified as having an onset by 3 years of age.

Other major changes include the fact that the eight different pervasive developmental disorders in the ICD-10, including childhood autism, atypical autism and Asperger syndrome, have disappeared entirely and are now grouped together under one category, namely ASD. This is a notable change that still arouses some controversy [6]. Several systematic reviews have found that the distinctions between these subtypes appear to be of dubious diagnostic validity or to represent quantitative rather than qualitative variation [7, 8]. In both the DSM-5 and the ICD-11, grouping all these individuals together is now accompanied by adding different ‘specifiers’ to the ASD diagnosis in an attempt to take account of the enormous heterogeneity inherent in the disorder’s presentation. These specifiers include intellectual level, language level, medical or genetic comorbidities, and mental health comorbidities.

While there is general support for ‘lumping’ the ASDs rather than ‘splitting’ them, there has been little or no research on the clinical utility of these specifiers nor on whether these are the ‘right’ specifiers. It is to be hoped that this conceptualization of a single disorder with multiple specifiers will foster a new generation of studies that attempts to consider the remarkable heterogeneity seen in ASD both between individuals with ASD but also within the same person with ASD over time.

The recognition that ADHD and ASD can coexist is also an important refinement that is extremely useful since there is good evidence that ASD individuals with concurrent ADHD can benefit from stimulant medications [9]. There is also growing evidence that ASD and ADHD share common genetic variants, similar psychological deficits and neuroimaging differences [10,11,12].

Nevertheless, despite the term ‘neurodevelopmental disorders’ now being official, it could be argued that the designation has outlived its usefulness — the various conditions contained under this grouping differ from each other (from severe ASD to mild coordination disorder) such that they have little in common. Therefore, the allocation of treatment interventions and prognosis cannot be generalized from one neurodevelopmental disorder to another. If clinical utility is the prime criterion for the added value of diagnostic terms, then ‘neurodevelopmental disorders’ as a meta-term appears to make a minimal contribution.

Moreover, it could also be argued that all disorders with onset in childhood or adolescence are neurodevelopmental disorders. Schizophrenia, mood (including bipolar), and anxiety disorders are all brain-based disorders. They have also, on occasion, been referred to as neurodevelopmental disorders, especially schizophrenia [13, 14], as they involve difficulties in the execution of intellectual, motor, language, or social functions as well as other domains that arise from alterations in brain circuits. Similar to the definition of neurodevelopmental disorders in the ICD-11, the presumptive etiology of mood disorders in childhood and adolescence, for example, is also ‘complex’ and is thought to arise from ‘physical’ processes (inflammatory processes, chronic sleep disturbance, possibly the microbiome) and genetic factors [15,16,17] as well as from various types of stressful life events. The growing awareness of the comorbidity of mood and anxiety disorders with various neurodevelopmental disorders (once the children reach adolescence) is another indication that the boundary between neurodevelopmental and non-neurodevelopmental disorders in the ICD-11 is ambiguous.

In other words, what does not constitute a neurodevelopmental disorder among disorders that arise in childhood and adolescence? More importantly, what is the clinical utility of grouping them together and separating them from disruptive behaviour and internalizing disorders? It is possible that mood and anxiety disorders are more closely associated with psychosocial adversity than with neurodevelopmental disorders; however, surely these are quantitative rather than qualitative differences. Furthermore, so many evidence gaps remain in our understanding of etiology and pathogenesis that to build the foundation of a classification system on unknown and assuredly complex aetiological factors is a fragile enterprise. The term represents child and adolescent psychiatry’s version of the old ‘functional’ versus ‘organic’ distinction that has long been done away with in adult psychiatry following remarkable advances in neuroscience. Perhaps it is time to put the term ‘neurodevelopmental disorders’ into the history books as well?

Schizophrenia or other primary psychotic disorders

Wolfgang Gaebel (Fig. 4)

The development of the chapter on Mental, Behavioral or Neurodevelopmental Disorders in the ICD-11 included collaboration with stakeholders; consideration of applications in clinical practice, research, teaching and training, health statistics, and public health; and a focus on clinical utility, global applicability, and reduction of disease burden [18]. The initial proposals of the WHO Working Group on the Classification of Psychotic Disorders for the ICD-11 [19], which I chaired and comprised experts from all global regions, were revised in response to public comment, expert peer review and results from field testing under the guidance of an international advisory group appointed by the WHO Department of Mental Health and Substance Abuse.

The most important changes in the classification of psychotic disorders from the ICD-10 to ICD-11, based on evidence review and consensus of the Working Group, include the following:

The ICD-10 section entitled ‘Schizophrenia, schizotypal and delusional disorders’ has been replaced by ‘Schizophrenia or other primary psychotic disorders’. The term ‘primary’ was intended to distinguish these disorders from bipolar and other mental or medical disorders that may include psychotic symptoms.
Accordingly, non-primary (i.e. ‘secondary’) psychotic disorders, such as psychotic disorders due to substance use or withdrawal and psychotic disorders in general medical conditions, are respectively placed in the sections of the mental disorders chapter corresponding to ‘Disorders due to substance use’ and ‘Mental and behavioural disorders associated with disorders or diseases classified elsewhere’. However, the unique features of the ICD-11, including its fully relational and electronic development for complex coding, make it possible to cross-list substance-induced psychotic disorders and those associated with general medical conditions in the section on primary psychotic disorders as well, enhancing clinical utility while still retaining the ability to allocate and aggregate these disorders appropriately for public health reporting.
The overall structure proposed for the ICD-11 block on ‘Schizophrenia or other primary psychotic disorders’ is as follows:
- ◦ Schizophrenia
- ◦ Schizoaffective disorder
- ◦ Acute and transient psychotic disorder (ATPD)
- ◦ Schizotypal disorder
- ◦ Delusional disorder
- ◦ Other primary psychotic disorders
- ◦ Unspecified primary psychotic disorders
Disorders in this section continue to be categorized on the basis of their psychopathological profile, duration, or course characteristics, as described in the Clinical Descriptions and Diagnostic Guidelines being developed for use by mental health professionals in clinical settings [20].
Similar to the DSM-5, in the ICD-11, the nine ICD-10 schizophrenia subtypes (paranoid, hebephrenic, catatonic, etc.) are now omitted because of their longitudinal instability and lack of prognostic validity [21], and have been replaced by a system of coded symptom and course qualifiers (see below). Although first-rank symptoms are somewhat deemphasized [22], a diagnosis of schizophrenia requires the presence of at least two of seven symptom categories, including at least one ‘core’ symptom. Core symptoms include delusions, hallucinations, experiences of influence, passivity or control, and disorganized thinking. Symptoms should have been clearly present for most of the time during a period of at least 1 month, hence retaining the ICD-10 duration requirement. If the symptom requirements for schizophrenia are fulfilled but the duration is less than 1 month, ‘Other specified primary psychotic disorder’ would be the appropriate diagnosis until the duration requirement is met.
In the ICD-11, a diagnosis of schizoaffective disorder should be made only when the symptom criteria of schizophrenia and of a moderate or severe mood episode are fulfilled simultaneously or within a few days of each other. The total duration requirement is 1 month, including both mood and schizophrenic symptoms. According to long-term studies, 10% of persons with schizoaffective disorder have only a single episode, while decades-long, symptom-free intervals may occur between episodes among people who have had more than one episode [23, 24].
For the category of ‘acute and transient psychotic disorder’ (ATPD), the ICD-11 places the diagnostic focus on sudden onset, brief duration and high variability/fluctuation of psychotic and affective symptoms (i.e. the ‘polymorphic’ clinical presentation). For simplification and due to a lack of empirical support for the prognostic and therapeutic relevance of the distinctions made in the ICD-10 among several subtypes of ATPD, only F23.0 ‘Acute polymorphic psychotic disorder without symptoms of schizophrenia’ is retained as the core clinical category for ATPD, whereas F23.3 ‘Other acute predominantly delusional disorder’ is incorporated into the revised category delusional disorder. F23.1 ‘Acute polymorphic psychotic disorder with symptoms of schizophrenia’ and F23.2 ‘Acute schizophrenia-like psychotic disorder’ are replaced by ‘Other specified primary psychotic disorder’ if the duration is less than 1 month, and should be diagnosed as schizophrenia if all diagnostic requirements are met.
ICD-10 categories F22 ‘Persistent delusional disorder’, F23.3 ‘Other acute predominantly delusional psychotic disorder’, and F24 ‘Induced delusional disorder’, which is a very rare entity, are collapsed into a single diagnostic category of ‘Delusional disorder’, omitting the durational qualifier ‘persistent’ to adapt to its durational heterogeneity and also to simplify the classification system.
Schizotypal disorder remains largely unchanged in the ICD-11. As in the ICD-10, it is considered a validated member of the schizophrenia ‘spectrum’ as a potential precursor or subsyndromal variant of schizophrenia [25] rather than a personality disorder and is therefore included in the section on primary psychotic disorders.
As an alternative to subtypes, coded qualifiers to describe the course of the disorder as well as symptom presentation are included in the section and can be applied to all primary psychotic disorders. Course qualifiers allow the differentiation of first- and multiple-episode cases, and between acute episodes with symptoms, full or partial remission, and a chronic course due to different prognostic implications [26]. Symptom qualifiers include the presence of positive, negative, depressive, manic, psychomotor, and cognitive symptoms, each of which may be rated as mild, moderate, or severe. A qualifier for cognitive symptoms is intended to provide more diagnostic and therapeutic attention to cognitive symptoms as these are linked to functional outcome [27]. The ‘psychomotor symptoms’ qualifier includes catatonic symptoms. In addition, catatonia is also included as a separate category in the ICD-11 [28, 29].

The inclusion of mental and behavioral disorders alongside all the other diagnostic medical entities in healthcare is an important feature of the ICD that has consequences for clinical practice and research. A classification that uses a common framework across all disease and disorder areas is more likely to be used by all specialties and general healthcare workers in a similar way, thereby yielding comparable health statistics results. The advanced classification and coding framework of the ICD-11 will also facilitate research in fields of epidemiology to analyze mechanisms of comorbidity, causal relationships, and treatment options. Another opportunity is the provision of conceptual parity of psychopathology with the rest of the medical system for clinical, administrative, and financial functions in healthcare [18]. As the ICD-11 will be used worldwide by a large range of health professionals [30], its definitions and diagnostic guidelines should not only be reliable (and valid), but also useful and easy to implement by different users in different clinical settings and around the world.

As internet-based and clinical field trials have demonstrated for psychotic disorders, diagnostic reliabilities for the ICD-11 compared to the ICD-10 have markedly improved for most of the diagnostic categories in this section [31]. Improvements have also been shown for judgments on the ease of use and related utility measures based on the use of diagnostic guidelines by health professionals and brief descriptions by medical records coders [32], although reliabilities for the latter show room for improvement. Accordingly, the introduction of the ICD-11 in the field of psychotic disorders will contribute to improved mental health care, particularly due to a more dimensional approach to symptoms characterization that allows for more individualized treatment selection. More generally, implementation of the ICD-11 chapter on mental disorders will profit from intense education and training of the mental health workforce.

Bipolar disorders

Michael Berk (Fig. 5) and Eduard Vieta (Fig. 6)

The ICD-11 brings significant changes from the ICD-10. Concordant with the overarching strategy, most changes go towards harmonizing the ICD-11 with the DSM-5. Noting the imperfection of both systems, inevitable given the absence of a valid pathophysiological foundation, this is desirable, as diagnostic labels principally represent a common global language. Perhaps the greatest point of difference is that the DSM-5 retains the requirement for a set number of phenomena across diagnoses, while the ICD-11 offers a descriptive approach and allows the clinician to pattern-fit the diagnosis. Arguably, the DSM system is most useful for research, where objective, reproducible, and verifiable diagnoses are essential, but the ICD better captures the way most clinicians actually think and behave [33].

The ICD-11 considers bipolar disorders as mood disorders, as the ICD-10 did (but not the DSM-5, which lists them in a separate chapter). Perhaps the most significant change is that the ICD-10 required two or more episodes of elevated mood, whereas the ICD-11 has lowered the threshold to one or more manic or mixed episodes to make a diagnosis of bipolar I disorder. A manic episode is therefore no longer an independently diagnosable condition as it was in the ICD-10. This parallels a significant shift in clinical thinking. Orthodoxy had it that individuals should not start mood stabilizers until a couple of manic episodes had occurred. More recent evidence suggests that the response to treatment is best after the first episode [34] and declines thereafter, and this decline is associated with a potentially neuroprogressive process with substantial clinical and functional sequelae [35, 36]. Additionally, the ICD-11 now requires a duration of at least 1 week for mania, while the ICD-10 did not have duration criteria and the ICD-11 waives this if treatment is present.

Allowing a mixed episode is a further significant change from the ICD-10, which specified the requirement of hypomania or mania and depression. Again, mixed episodes and their treatment implications are increasingly recognized in the clinical literature [37] and this is a welcome change suggesting the need for a differentially tailored treatment approach. Mixed episodes are defined as being characterized by rapid alternation between or an admixture of prominent manic or depressive symptoms with a duration of at least 2 weeks, and therefore they remain in the ICD-11 as an episode type as opposed to the DSM-5, which converted those into a specifier. Rapid cycling is defined based on the frequency of episodes of mood disturbance, requiring at least four episodes in the past 12 months, as traditionally stated.

In the ICD-11, the diagnostic guideline for mania allows for euphoria, irritability, or expansiveness together with increased activity or subjectively increased energy as well as other characteristic manic symptoms, without specifying the number of symptoms. There remains controversy around the inclusion of irritability, which is a far more non-specific phenomenon with much overlap with disorders such as ADHD, conduct disorder, and personality disorders [38]. Allowing mania based principally in the context of irritability risks blurring the boundary between these disorders [39]. However, the requirement for increased activity or energy is an important and positive change, concordant with recent data suggesting a critical role of a biphasic change in mitochondrial energy generation as core to the biology of the disorder [40].

The ICD-10 described hypomania and included bipolar II disorder under the heading of ‘Other bipolar affective disorders’. The ICD-11 harmonizes this with the DSM system allowing a bipolar type II diagnosis with equal status to bipolar I disorder. In contrast to bipolar I disorder, where impulsive or reckless behaviour are part of the description, hypomania in bipolar II is defined as not causing marked impairment in function. The controversy around the duration of hypomania is avoided by defining the duration as lasting for at least several days.

Similarly, cyclothymia, which stood in the ICD-10 under a separate grouping, is now incorporated in the core bipolar or related disorders heading. These changes substantially harmonize the ICD-11 and DSM-5 systems, one overarching goal of the revision. Cyclothymia includes a duration definition of at least 2 years and requires that numerous hypomanic or depressive symptoms be present the majority of the time. While the hypomanic symptomatology may or may not meet threshold criteria for hypomania, but not mania, depression cannot be severe or prolonged enough to meet the diagnostic requirement for a depressive episode. Curiously, the cyclothymia rubric includes cycloid and cyclothymic personality. This is a significant change echoing the old Research Diagnostic Criteria that set the grounds for the DSM-III and earlier literature on the effect of temperament, suggesting a bridge between the core bipolar and unipolar mood disorders and the effect of mood instability so commonly seen in borderline and other personality disorders [41]. Finally, akin to the specifiers in the DSM system, the ICD-11 allows the use of qualifiers to refine the description of current mood episodes, including prominent anxiety, melancholy (in depressive episodes), current perinatal episode, seasonal patterns, and rapid cycling, but no mention is made of predominant polarity, a specifier with therapeutic implications under consideration for future editions of the DSM [42].

Overall, the harmonization of the ICD-11 with the DSM-5 is desirable, hopefully presaging greater global uniformity in the use of a critical diagnostic language and hence translation to evidence-based care. The weaknesses of the two systems are both debatable and unavoidable [43, 44] given the lack of any objective pathophysiological compass and the limited specificity of most currently available biomarkers in mental illness [45]. This is a welcome fillip to global clinical care [46].

Depression

Mario Maj (Fig. 7)

Depression is reported to be the most common mental disorder in the general population and one of the most important contributors to the global burden of disease worldwide. Therefore, its valid and reliable diagnosis is essential not only from the psychiatric perspective but also more generally with regards to public health.

In the ICD-11, a depressive episode is defined by the concurrent presence of at least five out of a list of ten symptoms, which must occur most of the day, nearly every day, for at least 2 weeks. One of these symptoms must be depressed mood or markedly diminished interest or pleasure in activities. The mood disturbance must result in significant functional impairment and not be a manifestation of another health condition, due to the effects of a substance or medication, or better accounted for by bereavement.

The ten symptoms are depressed mood, markedly diminished interest or pleasure in activities, reduced ability to concentrate and sustain attention or marked indecisiveness, beliefs of low self-worth or excessive or inappropriate guilt, hopelessness about the future, recurrent thoughts of death or suicidal ideation or evidence of attempted suicide, significantly disrupted sleep or excessive sleep, significant changes in appetite or weight, psychomotor agitation or retardation, and reduced energy or fatigue. The list includes one symptom (hopelessness) that is not present in the DSM-5 criteria for major depression, but which was found to perform more strongly than approximately half of the DSM symptoms in differentiating depressive from non-depressive subjects [47].

The description of a depressive episode is one of the few instances in the ICD-11 in which specific thresholds are provided with respect to both number and duration of symptoms. Furthermore, the threshold concerning the number of symptoms (at least five) is made consistent with the DSM, whereas it was not in the ICD-10 (at least four).

A major difference between the ICD-11 and the DSM-5 relates to the so-called ‘bereavement exclusion’ — present in the DSM-IV but deleted in the DSM-5. In the ICD-11, as in the DSM-IV, the diagnosis of depression is not excluded in a person who is bereaved, but the threshold for that diagnosis is just made higher (as ordinarily happens in clinical practice) by requiring a longer duration of the depressive state (at least 1 month) and the presence of some symptoms that are unlikely to occur in ‘normal’ grief (extreme beliefs of low self-worth and guilt not related to the lost loved one, presence of psychotic symptoms, suicidal ideation, or psychomotor retardation). The ICD-11 approach to the bereavement issue has been supported (and the DSM-5 approach has been disproved) by longitudinal prospective studies documenting that the risk of subsequent depressive episodes during a period of follow-up was significantly lower in people with baseline bereavement-related versus non-bereavement-related major depression, and not different in the bereaved group than among controls without a history of depressive episodes [48, 49].

Interestingly, the ICD-11 states that a depressive episode is differentiated from a normal reaction to adverse life events (e.g. divorce, job loss) “by the severity, range and duration of symptoms” (as stated in the forthcoming WHO Clinical Descriptions and Diagnostic Guidelines). On the contrary, in the DSM-5, the decision of whether a response to a significant loss qualifies or not for a diagnosis of a major depressive episode is left, in a specific note, to ‘clinical judgment’, which contradicts the declared aim of that diagnostic system to overcome the “vagueness and subjectivity inherent in the traditional diagnostic process” [50].

In the ICD-11, the strategy to introduce ‘qualifiers’ (corresponding to the DSM-5 ‘specifiers’) to represent the heterogeneity of depression is adopted for the first time (no qualifiers were present in the ICD-10). The qualifiers proposed for depression are similar to the DSM-5 specifiers, with the exception that the DSM-5 specifier ‘with mixed features’ is absent in the ICD-11. In fact, the category ‘mixed episode’, eliminated in the DSM-5, is retained in the ICD-11; indeed, the DSM-5 definition of major depression with mixed features is highly controversial, as it includes typical manic symptoms (such as elevated mood and grandiosity) that have been found to be extremely rare among patients with mixed depression, while excluding symptoms (such as irritability, psychomotor agitation, and distractibility) that are frequently reported in mixed depression. Not surprisingly, major depression with mixed features, as defined in the DSM-5, has very different correlates in terms of treatment response compared to mixed depression as described in the literature [51].

The qualifier ‘with prominent anxiety symptoms’, introduced in the ICD-11, is of special clinical interest. Indeed, the presence of a significant anxiety component in a depressive episode is associated with a higher suicide risk, a longer duration of illness and a greater likelihood of non-response to treatment.

The ICD-11 approach to the assessment of the severity of the current depressive episode is analogous to that of the DSM-5, except that the number of depressive symptoms is not considered among the criteria (a depressive episode is regarded as mild, moderate, or severe depending on the intensity of the depressive symptoms and the degree of functional impairment). The characterization of the severity of depression remains unsatisfactory in both diagnostic systems, and the need for the inclusion of a simple and reliable rating scale for this purpose will have to be considered in the future.

A long and detailed section, missing in the ICD-10, is devoted in the ICD-11 to the delineation of the boundaries of depression with other mental disorders as well as with ‘normality’ and normal grief.

The ICD-11 guidelines for depression have been found to have substantial inter-clinician reliability and very good clinical utility in field trials [31, 52]. Therefore, it is expected that they will be well received in ordinary clinical practice worldwide.

Anxiety disorders and obsessive–compulsive disorder

Ymkje Anna de Vries (Fig. 8), Annelieke M. Roest (Fig. 9), Peter de Jonge (Fig. 10)

Anxiety disorders form a heterogeneous group defined by the presence of anxiety states such as worry, fear, or panic. They are characterized by a chronic course [53, 54] and an early age of onset [55]. Obsessive–compulsive disorder (OCD) shares some of these characteristics and has previously been considered an anxiety disorder (e.g. in the DSM-IV). We therefore discuss it alongside anxiety disorders.

In the ICD-11, the classification of anxiety disorders has been simplified and brought into better agreement with an evidence-based Hierarchical Taxonomy of Psychopathology (HiTOP) [56]. This model proposes several higher-order dimensions, including internalizing and externalizing dimensions, and aims to give an aetiological account of mental disorders. The internalizing dimension is proposed to consist of several subdomains, including fear (e.g. phobia) and distress (e.g. generalized anxiety disorder (GAD), major depressive disorder). The ICD-10 grouped most anxiety disorders and OCD into the heterogeneous grouping of ‘neurotic, stress-related, and somatoform disorders’ (F40–F48), and also split anxiety disorders into ‘phobic anxiety disorders’ and ‘other anxiety disorders’ (GAD, mixed anxiety disorders, and panic disorder). While this split may have some face validity, factor analytic models generally find that panic disorder clusters with phobic disorders into the fear subdomain of internalizing disorders [56].

A new category of ‘anxiety or fear-related disorders’, which contains all anxiety disorders, including two (separation anxiety disorder and selective mutism) that were previously classed with childhood disorders, has been introduced in the ICD-11. Since anxiety disorders have similar symptoms (i.e. sympathetic arousal and avoidance), the ICD-11 emphasizes the focus of apprehension (e.g. fear of negative evaluation by others in the case of social anxiety disorder) as the basis for diagnostic differentiation between anxiety disorders [57]. Hierarchical exclusion rules, which often precluded explicit diagnosis of an anxiety disorder, particularly in individuals with mood disorders, have also been removed in the ICD-11.

OCD has been placed into its own grouping of ‘obsessive–compulsive or related disorders’. This grouping also includes several new disorders such as hoarding disorder and body-focused repetitive behaviour disorders (broadened from the ICD-10 diagnosis of trichotillomania). Hypochondriasis has also been moved from the category of ‘somatoform disorders’ into that of ‘obsessive–compulsive or related disorders’.

The ICD-11 has maintained the a priori split between mood and anxiety disorders, despite empirical findings that generally show that GAD is more closely related to major depressive disorder than it is to the other anxiety disorders. However, by providing anxiety disorders their own grouping, including separation anxiety disorder with the other anxiety disorders, and removing the artificial split between phobic and other anxiety disorders, the structure of the ICD-11 more closely approximates evidence-based models of the structure of psychopathology. Furthermore, such categorization brings the ICD-11 into closer agreement with the DSM-5.

Additionally, the ICD-11 closely resembles the DSM-5 in its disorder descriptions. Particularly, a requirement that the disorder should result in significant distress or impairment has been added to the description of all anxiety disorders. For agoraphobia, social anxiety disorder, specific phobia, and GAD, a specification that symptoms must persist for at least several months has also been added. Moreover, the conceptual core of several disorders, particularly panic disorder, GAD, and OCD, has been updated to reflect current beliefs about these disorders. With regard to panic disorder, the ICD-10 exclusively focused on the presence of unexpected panic attacks; however, in the ICD-11, persistent concerns about these panic attacks and/or attempts to avoid the recurrence of panic attacks are also considered essential and impairing features of panic disorder. In the ICD-10, GAD was conceptualized as free-floating worry that does not predominate in any particular environmental circumstance. While the ICD-11 maintains free-floating anxiety as a possible symptom, excessive worry focused on multiple everyday events is also recognized as a possible core symptom of GAD. Finally, the ICD-10 defined compulsions by their putative function (to prevent a feared event), while the ICD-11 has a broader definition, including all repetitive behaviors that an individual feels driven to perform in response to an obsession, according to rigid rules, or to achieve a sense of ‘completeness’. The ICD-11 also includes repetitive mental acts as compulsions, while the ICD-10 only focused on overt behaviour.

In sum, several of the changes in the ICD-11, both at the level of classification and at the level of disorder descriptions, result in greater agreement with the DSM-5 and with empirical evidence on comorbidity. Furthermore, the addition of impairment and duration criteria provides more guidance to distinguish disorder from normality; these changes, along with the updates to disorder descriptions, are likely to align the ICD-11 more closely with clinical practice.

Disorders specifically associated with stress

Andreas Maercker (Fig. 11) and Chris R. Brewin (Fig. 12)

The acknowledgment of stress as an external source of mental disorders is still relatively new in psychiatric nosology despite recognition that almost all mental disorders, to a greater or lesser degree, are shaped by it. For instance, psychosis tends to have much milder symptoms or even remain in a remission phase at low levels of external stress [58]. The ICD-11 goes further in recognizing this by including a new grouping of ‘disorders specifically associated with stress’ that identifies disorders in which external stress is a necessary and prominent causal factor. The grouping is parallel to ‘trauma and stress-related disorders’ in the DSM-5. However, the omission of the psychologically important but overused term ‘trauma’ in the ICD-11 grouping title was deliberate. The WHO Working Group decided that it was preferable to employ the term ‘stress’ so as to reduce the tendency to brand someone seeking professional help as psychologically ‘traumatized’.

Moreover, the ICD and the DSM diverge significantly in their description of stress-related disorders — for the ICD-11, these are post-traumatic stress disorder (PTSD), complex PTSD, prolonged grief disorder, and adjustment disorder (described below), whereas for the DSM-5 they are PTSD, acute stress disorder, and adjustment disorder. (The respective groupings in both manuals also include similar desciptions of the childhood disorders of reactive attachment disorder and disinhibited social engagement disorder, which are not further discussed here.) The four new formulations of diagnoses within the ICD-11 grouping of disorders specifically associated with stress have generated a number of controversies.

PTSD

The ICD-11 has substantially simplifed the description of PTSD, defining it in terms of three core symptoms that most clearly distinguish PTSD from other disorders, namely re-experiencing the traumatic event or events in the present, deliberate avoidance of reminders, and a sense of ongoing threat. Furthermore, the symptoms must persist for at least several weeks and cause significant impairment in functioning. In contrast, PTSD is the most complex disorder in the DSM-5, with 20 symptoms organized into four symptom clusters. The intention of the DSM-5 was to capture the full scope of chronic post-traumatic phenotypes [59]. However, recent research has demonstrated that the data fit the simpler factor structure of the ICD-11 better than they do that of the DSM-5 and that, as intended, when using the ICD-11 definition there is a reduction in the degree of comorbidity with major depression [60].

Complex PTSD

It has been argued for many years that chronic or repeated trauma leads to a more severe form of PTSD. The ICD-10 contained a partly overlapping predecessor diagnosis of ‘enduring personality change after catastrophic experiences’, which had very rarely been used in clinical practice and research [61]. The ICD-11 defines complex PTSD as consisting of the three core PTSD symptoms described above accompanied by problems in affect regulation, negative self-beliefs, and relationship difficulties [62]. Chronic or repeated trauma is a risk factor rather than a requirement for the diagnosis, which is based on the symptom presentation. The ICD-11 definition nevertheless provides examples of experiences, such as torture, slavery, genocide campaigns, prolonged domestic violence, and repeated childhood sexual or physical abuse, that may be associated with the diagnosis.

Long-standing proposals to distinguish this disorder from PTSD were rejected in the DSM-5. However, empirical research using techniques such as latent class analysis and latent profile analysis has supported the distinction between PTSD and complex PTSD as well as the association between complex PTSD and trauma in childhood [60].

Prolonged grief disorder

The inclusion of this disorder in the ICD-11 followed careful consideration of the boundaries between normal and atypically severe grief as well as cultural/religious influences on the grieving processes. The evidence was judged sufficient to introduce a formal diagnosis for the minority of grieving individuals who may need professional services to overcome persistent and severe mourning [63]. The disorder is characterized by a pervasive longing for or persistent preoccupation with the deceased, accompanied by intense emotional pain. It can only be diagnosed if the symptoms persist beyond a period of 6 months — or longer if extended periods of acute grief are culturally normative for that individual [64]. In contrast to PTSD, where intrusive memories are generally characterized by fear or horror, preoccupation and longing often involve positive memories about the lost loved one. In the DSM-5, the evidence was only considered sufficient to include a somewhat differently defined ‘condition for further study’ involving symptoms lasting for at least 12 months after a death, termed ‘persistent complex bereavement disorder’.

Adjustment disorder

This frequently used but ill-defined diagnosis has been reformulated more precisely in the ICD-11 [65]. It is characterized by the presence of two symptoms, namely preoccupation with the stressors and indications of failure to adapt such as sleep or concentration problems [66]. It can be assigned some days after the stressor has impacted on the person, and it is typically expected to resolve within 6 months unless the stressor persists for a longer duration. Adjustment disorder is not a trivial condition — if it goes undetected and untreated it may lead to more severe mental disorders or an elevated risk of suicide [67, 68].

The four diagnoses presented here are intended to fulfill the aim of the ICD-11 to provide clear, simple diagnoses that meet the needs of clinicians worldwide. A field study conducted by the WHO with international practitioners found that the new distinction between PTSD and complex PTSD was easily applied but that there was some difficulty in applying the narrower definition of PTSD [69]. The forthcoming Clinical Descriptions and Diagnostic Guidelines will better educate clinicians in how to apply the descriptions of the required symptoms [20]. The more specific formulations are also likely to be beneficial to researchers who can now identify much more homogeneous groups of patients, assisting the search for biological markers. Comparisons with the DSM-5 will enable key diagnostic assumptions to be tested. The empirical data generated by the new diagnoses promise to yield a much greater understanding of how to recognize and treat these disorders in different settings worldwide [70,71,72].

The classification of feeding and eating disorders

Kathleen M. Pike (Fig. 13) and Carlos M. Grilo (Fig. 14)

The conceptual core of the ‘feeding and eating disorders’ (FED) grouping of disorders involves abnormal eating or feeding behaviors that are not better accounted for by other health conditions and are neither developmentally appropriate nor culturally sanctioned [73]. The ICD-11 classification of FEDs, guided by the principles of enhancing clinical utility and global relevance, includes changes supported by an evidence base accumulated during the more than 25 years since the ICD-10 was published and also supported by field trials [74]. This grouping combines feeding disorders and eating disorders, representing the integration of two previously distinct sections, a decision that parallels changes in the DSM-5 [5, 75].

Feeding disorders include a set of conditions characterized by restricted or limited intake (avoidant restrictive food intake disorder; ARFID), behavioral disturbances such as eating of non-edible substances (pica), or voluntary regurgitation of foods (rumination–regurgitation disorder) in the absence of shape/weight concerns. In contrast, eating disorders (anorexia nervosa (AN), bulimia nervosa (BN), and binge-eating disorder (BED)) are characterized by disturbances in eating behaviors accompanied by preoccupation with food, body weight, or shape in distinct patterns for each diagnosis.

Bringing together FEDs in a single grouping represents an expanded appreciation for the clinical significance of feeding problems during infancy and childhood [75, 76]. The guidelines for pica and rumination–regurgitation disorder have not changed substantially from the ICD-10. ARFID, which is characterized by restricted or limited food intake but not a disturbance in body image, represents a new diagnosis, though the feeding disturbances associated with ARFID have long been recognized by clinicians. We have limited research on the etiology, prognosis, natural outcome, or treatment of ARFID. The inclusion of ARFID in the ICD-11 should provide greater guidance regarding the operationalization of a working diagnosis, which we expect will stimulate attention and research that will advance understanding and treatment.

Among the eating disorders, the core conceptual characterization of AN and BN remain consistent with the ICD-10. However, detailed specifications regarding the essential features of these two disorders were revised based on updated empirical data and clinical practice. These revisions had the goal of enhancing the clinical utility of the diagnoses and reducing the use of ‘atypical’, ‘other specified’, or ‘unspecified’ diagnostic categories in the ICD-10, which have limited clinical utility or informational value.

For AN in the ICD-11, the hallmark feature remains, a low body weight for height, age, and developmental stage that is not better accounted for by another condition. The ICD-11 provides general guidelines for defining low weight. Specifically, it provides the commonly used guidelines of a body mass index (BMI) of less than 18.5 kg/m² in adults and a BMI-for-age under fifth percentile in children/adolescents for diagnosing low weight. However, the ICD-11 guidelines indicate that these thresholds should be used as general points of reference but are not required thresholds for AN. This is important given cultural and individual variations, and thus allows AN to be diagnosed at higher weights in some circumstances. In addition, the essential features explicitly state that “rapid weight loss (e.g., more than 20% of total body weight within 6 months) may replace the low body weight guideline as long as other diagnostic requirements are met.”

Another feature added to the diagnosis of AN is the qualifier for the severity of underweight status, which reflects findings indicating that severe underweight status may have important prognostic implications in terms of increased risk of other health complications, increased mortality risk, and overall poorer outcome in adults [77,78,79,80]. The ICD-11 specifier of severity of underweight for AN in some ways roughly parallels a change in the DSM-5 in which AN severity is based on BMI. To date, research has provided limited support for the DSM-5 low BMI specifier ratings across both European [81,82,83,84] and US [85, 86] samples. However, one study found that lower BMI categories were significantly related to indicators of need for greater services such as number of hospitalizations [85].

The ICD-11 qualifiers for AN related to low body weight include ‘significantly low body weight’ and ‘dangerously low body weight’. The third qualifier related to weight status is ‘anorexia nervosa in recovery with normal body weight’. The ICD-11 included this qualifier to avoid the previously existing conundrum that individuals who achieved weight restoration while in treatment would no longer meet diagnostic thresholds for AN despite continuing to have all the other symptoms of AN and not being sufficiently recovered to maintain the weight gain without continued treatment. The technical inability to diagnose someone with AN at such a point in care was particularly problematic in certain contexts in which a diagnosis is essential for receiving certain levels of care based on health systems and policies. The proposed qualifier provides the elegant solution of identifying the weight gain while still retaining the diagnosis of AN. As provided by this qualifier, the diagnosis of AN is retained “until a full and lasting recovery is achieved, as indicated by the maintenance of a healthy weight and the cessation of behaviours aimed at reducing body weight, independent of the provision of treatment (e.g., for at least 1 year after intensive treatment is withdrawn)”. In contrast to the DSM-5, the ICD-11 retains the qualifiers of ‘restricting pattern’ versus ‘binge–purge pattern’ of compensatory weight-related behaviors.

In the case of BN, the conceptual core remains centred around binge-eating behaviour coupled with regular and significant weight-compensatory behaviors. Two key changes regarding the clinical assessment of binge-eating behaviour are noteworthy. First, the frequency threshold of binge eating for BN was reduced to once a week or more over a period of at least 1 month. The lowered frequency/duration stipulations represent both empirical data and prioritization of clinical utility. Data assessing ‘subthreshold’ BN indicate that individuals who binge eat at a frequency of once weekly are comparable to those individuals who do so more frequently [87]. The shortened duration reflects the clinical reality that access to care is limited in many parts of the world, and if someone presents with all the features of BN for a duration of 1 month, they should receive clinical care without further delay.

In addition to the changes in specifications to AN and BN, the most significant addition to the eating disorders grouping was the inclusion of BED as a separate category. BED is a disturbance characterized by recurrent binge eating, associated with significant distress, in the absence of inappropriate weight-compensatory behaviors. The addition of BED as a formal diagnosis, which parallels changes in the DSM-5, follows two decades of research on the clinical significance and validity of this diagnostic construct [88], which had previously been described as a research category in the Appendix of the DSM-IV. Emerging research worldwide has indicated the prevalence of BED relative to other eating disorders and established the clinical and public health significance of this diagnostic construct [89, 90].

Both BN and BED are based on the occurrence of binge eating, and the ICD-11 also incorporates changes regarding the definition of what constitutes an episode of binge eating. In the ICD-11, binge eating is defined as a time when an “individual eats notably more and/or differently than usual and feels unable to stop eating or limit the type or amount of food eaten. Other characteristics of binge-eating episodes may include eating alone because of embarrassment, eating foods that are not part of the individual’s regular diet, eating large amounts of food in spite of not feeling hungry, and eating faster than usual” [74]. These other features reflecting a general loss of control or a difference in the eating behaviors both resonate with clinicians and patients and parallel the behavioral indicators for establishing binge eating in the DSM-IV/DSM-5, which have received empirical support [91]. Also notable is that the ICD-11 guidelines have eliminated the requirement that binge-eating episodes be defined by an objectively unusually large amount of food. This change, which is at odds with the DSM-5, is consistent with increasing evidence suggesting that the subjective experience (most notably a sense of loss of control) is more important that the quantity eaten during those episodes [92, 93].

In both BN and BED, there is marked distress about the pattern of binge eating or significant impairment in personal, family, social, educational, occupational, or other important areas of functioning. Distress associated specifically with binge eating has been shown to be an important discriminatory feature [94]. Interestingly, while the ICD-11 requires marked distress for both BN and BED, the DSM-5 does so for BED but not for BN, perhaps due to the clinical assumption that the extreme weight-compensatory behaviors undoubtedly reflect distress. Finally, for both AN and BN, a disturbance in body image is required, whereas for BED the ICD-11 notes that, while overvaluation of shape/weight is commonly present, it is not required; this is at odds with the DSM-5 for BED but is consistent with empirical data [20, 95].

The new ICD-11 guidelines for FED, which follow empirical advances and received support in the field trial [74], should facilitate clinical practice worldwide. As noted above, several of the major changes and additions have broadened the diagnostic guidance in a balanced fashion to better capture clinical realties and reduce ‘technicalities’ that do not appear to be clinically or empirically meaningful (e.g. examples of what constitutes binge eating, frequency/duration stipulations, definition of abnormally low weight) but that can delay clinical care. Although critics might voice concerns that some of the changes involving broadening of certain features (i.e. removing arbitrary symptom counts and duration cut-points not supported by research) as compared to the DSM-5 might result in over-diagnosis, a recent large-scale epidemiological study in the US did not provide support for such concerns [96]. We believe that the ICD-11 guidelines effectively capture the diverse clinical realities across the developmental life course and around the world, and we anticipate that the changes made in the ICD-11 guidelines for FEDs will aid better diagnosis and treatment.

Disorders of addictive behaviour

Naomi A Fineberg (Fig. 15)

The ICD-11 revision heralds a welcome sea change in the clinical conceptualization of addictive behaviour. First and foremost, by introducing the new section ‘Disorders due to substance use or addictive behaviours’, the ICD-11 brings together substance use disorders with disorders of addictive behaviour under one conceptual framework. In this respect, it aligns with and expands upon similar changes made in the DSM-5 [5]; the central role of addiction, as a trans-diagnostic process underpinning a broad range of harmful behaviors, is prioritized and its key behavioral constituents are defined as impaired control, precedence over other interests and activities, and continuation or escalation of the behaviour despite negative consequences.

Second, the ICD-11 recognizes, for the first time, a group of ‘disorders due to addictive behaviours’. These are defined as clinically significant syndromes associated with distress or dysfunction that develop as a result of repetitive rewarding behaviors other than the use of dependence-producing substances. They include gambling disorder (previously classified with habit and impulse disorders) and gaming disorder (a new diagnosis), both of which may involve online or offline behaviour. In the ICD-11, the definition of gambling disorder has been adjusted in line within the addiction framework.

Third, gaming disorder is accepted as a diagnosis for the first time (see below), defined by persistent or recurrent addictive online or offline gaming of such severity so as to cause significant impairment in personal, family, social, educational, occupational, or other important areas of functioning. Fourth, the Internet is included as a diagnostic specifier, to the extent that gambling disorder can be separately diagnosed as being predominantly offline or online. Fifth, by creating residual categories (‘other specified’ or ‘unspecified disorders of addictive behaviour’) attention is given to individuals not meeting the diagnostic criteria for an existing disorder, who nevertheless experience significant distress or impairment associated with a range of otherwise neglected addictive behaviors that might include shopping, stealing, pornography viewing, web-streaming, social media use, and other behaviors, for which there is as yet insufficient evidence to justify classification as a diagnosis. Finally, as not all forms of gambling or gaming meet the threshold for a diagnosable condition, definitions for ‘hazardous gaming’ and ‘hazardous gambling or betting’ have additionally been included as alternatives to diagnostic entities so that public health may be promoted.

The rationale for these recommendations is derived from in-depth scientific analysis coupled with multi-professional clinical and public health experience, involving experts from over 25 countries; changes from the ICD-10 were debated in a series of workgroup meetings [97]. Indeed, discussion in the scientific literature has continued as emerging data suggests that, alongside the phenomenological and psychobiological overlaps between gambling and gaming disorders and disorders of substance addiction [98, 99], including high levels of clinical comorbidity, overlaps are also to be found with certain impulse control disorders, such as kleptomania and compulsive sexual behaviour disorder, and obsessive–compulsive or related disorders such as trichotillomania and excoriation disorder [100, 101]. Thus, as research grows and our understanding of these and other putative addictive disorders crystallizes, further revisions to some of these ICD sections may arise.

In its deliberations, the ICD-11 focused on clinical and public health utility, with an explicit aim of improving primary care in non-specialist settings [18]. The new classification is thus expected to raise awareness of these otherwise overlooked disorders of behavioral addiction among clinicians and the public and facilitate the development of clinical and public health interventions. The new classification will also invigorate research into the role of the Internet as both a conduit and a potential moderator of addictive behaviors.

The inclusion of gaming disorder in the ICD-11 forms a basis for the development and implementation of standardized diagnostic interviews and symptom measures, potentially leading to the discovery of effective interventions. However, this has generated a lively debate, with some authors expressing concern that the scientific basis for gaming disorder is currently too weak or that non-problematic gamers could be stigmatized by its inclusion [102, 103]. A series of commentaries published in the last year (reviewed in [98]) has largely favored the inclusion of gaming disorder in the ICD-11. Evidence demonstrating the negative effects of pathological gaming in multiple psychosocial domains [104] played an influential role.

While it is laudable to consider the unwanted effect of stigmatization when a diagnosis is newly introduced [105], this argument must be balanced against clinical and public health needs [97]. Treatment demand worldwide and the significant distress, functional impairment, and suffering encountered by those experiencing disorders of behavioral addiction, such as gambling and gaming disorder, underlies the pressing need for their adoption by the ICD-11. By classifying these disorders within an addiction framework, the ICD-11 endorses the approach that addictive behaviour is not exclusively a medical problem, and that prevention and reduction of the associated health and social burden may be achieved by interventions inside and outside the health sector [1].

Compulsive sexual behaviour disorder

Peer Briken (Fig. 16)

The decision to include compulsive sexual behaviour disorder (CSBD) in the group of impulse control disorders in the ICD-11 marks a paradigm shift from a sexual and mental health perspective, especially considering that CSBD is now precisely described through diagnostic guidelines [2, 100]. Why consider this a shift in paradigm? The ICD-10 included the category ‘excessive sexual drive’, which, however, did not include a specific description of the symptoms but did reference ‘nymphomania’ and ‘satyriasis’. The diagnosis was placed in the grouping of sexual dysfunctions within the Mental and Behavioral Disorders chapter of the ICD-10 because it concerned sexual behaviour.

In contrast, the ICD-11 guidelines describe CSBD as characterized by “a persistent pattern of failure to control intense, repetitive sexual impulses or urges resulting in repetitive sexual behaviour” ([2], p. 109) over an extended period. In persons with this disorder, sexual behaviour has become a central focus of their life, with unsuccessful efforts to control or significantly reduce it as well as adverse consequences (e.g. repeated relationship disruption, occupational consequences, negative impact on health). The behaviour results in marked distress or significant impairment. The ICD-11 diagnostic guidelines largely avoid focusing on possible distal aetiological issues (e.g. traumatic sexual experiences) and the many contexts in which compulsive sexual behaviour occur (e.g. using sex as a coping strategy in response to negative emotions). This is advantageous because CSBD is an umbrella construct that likely has a variety of aetiologies not directly relevant to diagnostic description.

Although the word ‘compulsive’ is included in the name because that is a very common way of referring to this phenomenon in the literature, sexual behaviour in CSBD is not considered a true compulsion that occurs in relation to intrusive, unwanted and typically anxiety-provoking thoughts (obsessions) as in OCD. Rather, CSBD is a repetitive, typically initially rewarding behaviour pattern that the person feels unable to control, which appears to have both impulsive and compulsive elements [106]. Early in the development of the behaviour pattern, impulsivity and positive reinforcement (pleasure) are the most important elements. Later in the course of the disorder, compulsive aspects and negative reinforcement (e.g. temporary improvement of negative mood) are likely to become increasingly important in sustaining the behaviors [107]. The most thoroughly investigated theoretical model on the interplay between excitatory and inhibitory influences on sexual behaviour is the dual control model [108], according to which CS BD could be a problem when sexual self-control is relatively low and sexual responsiveness/excitability is relatively high [109, 110]. Clinically, the lack of self-control is often subjectively experienced as urgency, while sex in CSBD may fulfill a variety of different functions. Treatment therefore focuses on improvement of sexual self-control as well as coping with the underlying emotional states and motives.

Available representative community data indicate that subjective difficulty in adequately controlling sexual behaviour is common [111], although such subjective difficulty alone is not sufficient for a diagnosis of CSDB. The ICD-11 guidelines indicate that CSBD “should not be diagnosed based on distress related to moral judgements and disapproval about sexual impulses, urges, or behaviours that would otherwise not be considered indicative of psychopathology (e.g. a woman who believes that she should not have sexual impulses at all; a religious young man who believes that he should never masturbate; a person who is distressed about their homosexual attraction or behaviour).” Available evidence suggests a prevalence of 10–12% for men and 7% for women for sexual compulsivity; however, the new CSBD guidelines are yet to be used in epidemiological studies (e.g. [111,112,113]).

How will this diagnostic category advance the field? From a sexual and mental health perspective, inclusion in the classification system suggests that CSBD can be treated, that mental health service systems should be capable of providing the treatment, and that this treatment should be covered by health insurance. Furthermore, only a disorder that is constructed with regards to valid and reliable guidelines can be researched accordingly. In the short time since the conceptualization of CSBD as an impulse control disorder has been put forward [100] there have been numerous new studies, with the focus of this research being significantly broadened by a range of new research groups. Research has investigated disorder constructs related to CSBD [114] and validation of instruments [115] as well as aetiological [106, 114] and therapeutic approaches [116,117,118]. The significance of impulsivity, compulsivity, and addiction is still the subject of ongoing studies and discussions in the constructs of CSBD and has not been conclusively clarified.

From a historical point of view, it should be noted that clinicians and scientists [119] described a forerunner diagnosis to CSBD more than 100 years ago. In German psychopathology, there has been a discussion about compulsive or dysregulated forms of sexual expression since the 1940s (overview in Giese [120]). The discussion became internationally prominent in the US following the publication, in 1983, of Carnes’ book Out of the Shadows: Understanding Sexual Addiction [121], which provided a conceptualization of the sexual addiction model and how 12-step self-help programmes could be helpful. Nevertheless, despite some popularization of this idea, it has also received significant criticism [122]. At a minimum, it must be acknowledged that, in some parts of the world, including North America, there is a risk that any conceptualization of non-mainstream sexuality as disordered will be seized upon in unintended, sex-negative ways based on religious attitudes hostile to sexuality and by religiously based therapies or self-help groups. This potentially creates a problem for a scientifically sound approach to CSBD.

In order to rule out inappropriate pathologization and protect against misuse, the guidelines state that “distress that is entirely related to moral judgments and disapproval about sexual impulses, urges, or behaviours is not sufficient to meet this requirement”. The guidelines further indicate that high levels of sexual interest and behaviour in the absence of impaired sexual self-control and distress or impairment, or during relatively brief periods, should not be diagnosed as CSBD. Similarly, high levels of sexual interest and behaviour in adolescents should not be labeled as CSBD, even if associated with distress.

It has sometimes been claimed (e.g. [123]) that the idea that sexual behaviour can be compulsive or resemble an addiction emerged as a product of conservative (e.g. religious) sexual norms, accompanied by new psychiatric diagnostic labels. However, in the case of CSBD this does not seem to be true. Rather, changes in social and environmental conditions (e.g. digital media) have led to changes in symptomatic expression, which in turn may suggest the need to alter diagnostic classifications. We live in a digital world where the availability of pornography and the possibilities of sexual interactions without prolonged relationships have changed the reasons why patients come into clinical practice.

Accordingly, in our clinic, there has not been a change in the numbers of patients who present for treatment, yet changes in the manifestation of this condition have been observed. For example, 20 years ago, most cases involved visits to peep shows or use of sex workers or telephone sex, whereas, currently, CSBD is primarily related to the use of digital media, most often with uncontrolled use of pornography sites or multiple sexual contacts via dating apps. Of note, when CSBD occurs in combination with a paraphilic disorder or criminal sexual behaviour it has a different profile.

In clinical practice, the new guidelines should help ensure that the threshold for diagnosis is not too low and thus running the risk of false positive diagnoses. On the other hand, it is important that the threshold emphasizes clearly pathological behaviour — not all individuals who claim they are ‘sex addicts’ automatically fulfill the diagnostic requirements for CSBD. Indeed, the ICD-11 aims to identify those individuals for whom CSBD is a serious problem and who should appropriately receive treatment.

Gender identity-related diagnoses

Peggy T. Cohen-Kettenis (Fig. 17)

Since the first publications of gender identity-related diagnoses in the ICD and the DSM [5], these diagnoses have undergone significant changes in conceptualization, terminology, and placement. In the ICD-10, the diagnoses were ‘gender identity disorder’ for children and ‘transsexualism’ for adolescents/adults. Conversely, the DSM-IV had one overarching diagnosis of ‘gender identity disorder’ for both children and adolescents/adults, albeit with different indicators for the two groups. In the ICD-11, the names of the diagnoses have been changed, reflecting a different conceptualization of the phenomenon; this was also the case in the DSM-5 to some extent. In the ICD-11, the diagnoses are ‘gender incongruence of childhood’ for pre-pubertal children and ‘gender incongruence of adolescence and adulthood’ for post-pubertal individuals. These names highlight the core of the condition, that is, incongruence between a person’s experienced gender or gender identity and the sex (usually) assigned at birth. The DSM-5 uses the term ‘gender dysphoria’ for all age groups.

There has been much dispute on the question of whether gender-variant identities should be viewed as mental disorders or as variations within the normal range. Gender incongruence may or may not be associated with distress. In the DSM-5, clinically significant distress is a requirement for the diagnosis. Lesbian, gay, bisexual, and transgender advocacy groups have lobbied to remove gender dysphoria altogether from the DSM-5 as retention in this psychiatric classification system was viewed as stigmatizing. Despite this opposition, the American Psychiatric Association decided to retain the diagnosis. People may seek psychological care or gender-confirming treatment to alter physical sex characteristics (e.g. by hormone treatment and/or surgery) and support services need a billable diagnosis code. Removing gender dysphoria from the DSM was expected to create serious problems with access to care in many countries, which contributed considerably to the American Psychiatric Association’s decision to keep gender dysphoria in the DSM.

In the absence of distress, gender incongruence cannot be conceptualized as a mental disorder, yet people may need treatment. Although the prevalence of mental health problems is elevated among transgender people and distress (internally driven or as a result of outside forces) may be present, clinically significant distress does not seem to be inherent in gender incongruence [124, 125]. The ICD is a broader document than the DSM, as it encompasses mental disorders as well as other conditions needing treatment. The WHO, a United Nations agency, views health as a human right, creating a legal obligation for member states not only to ensure access to timely and affordable healthcare of good quality, but also to provide for the underlying determinants of health [126]. Stigma may be one such determinant, as there is evidence that it is associated with health problems [127, 128]. In many places, mental illness is stigmatized [129, 130] and stigma against transgender people is also highly prevalent [131, 132], creating a ‘double stigma’ burden for this community. In order to avoid this double stigma, the WHO, advised by the Working Group on the Classification of Sexual Disorders and Sexual Health, moved the gender identity-related diagnoses away from the mental disorders chapter and placed them in a new chapter entitled Conditions Related to Sexual Health in the ICD-11. This change allows for the diagnosis in a classification system of conditions that may need treatment, and therefore ensures access to care for transgender people without the additional burden of requiring a mental health disorder diagnosis.

There has been great concern that pre-pubertal children who only show gender-variant behaviour but have no gender identity-related problems would erroneously receive a diagnosis and be treated by clinicians and parents as future transgender adults [133]. By introducing an anatomic dysphoria requirement and lengthening the required duration of the gender incongruence, the ICD-11 diagnosis for children has been narrowed considerably. However, despite this tightening of requirements and the move away from the mental disorder chapter, there are still differences of opinion regarding the retention of gender incongruence of childhood in the ICD-11; some feel that even a non-psychiatric diagnosis can be harmful to children [134]. However, although pre-pubertal children do not need a diagnosis for medical treatment, they may need specialized supportive mental health services as well as family and social (for example, school) interventions. Retention helps to preserve access to care for a vulnerable and already stigmatized group [135].

Another major conceptual change for gender incongruence diagnoses in ICD-11 is a move away from binary thinking. Instead of the concepts of ‘male’ versus ‘female’ and ‘transsexual’ versus ‘non-transsexual’, the ICD-11 reflects evidence of considerable variance in gender and gender identity. As a result, people experiencing some form of gender incongruence who would previously be considered non-transsexual [135], and therefore not eligible for ‘classical’ gender affirming treatment (hormones first, followed by various types of surgery), may now be eligible for some form of medical treatment. Type and timing may differ from the ‘classical’ treatment.

The inclusion of gender incongruence diagnoses in the ICD-11 with the revised diagnostic guidelines and outside the mental health chapter will provide access to appropriate and non-stigmatizing care for those individuals with gender incongruence. It will also provide opportunities for the much-needed education of health professionals and facilitate the research and development of standards of care. The gender incongruence diagnoses may thus guide clinicians and family members in making decisions on clinical and non-clinical interventions.

Conclusion

Dan J. Stein and Geoffrey M. Reed

Overall, our view is that the various changes made in the Mental, Behavioral or Neurodevelopmental Disorders chapter of the ICD-11 contribute to a significant advancement in diagnostic classification as well as in mental health practice and research. However, the ways in which the ICD-11 as well as other important frameworks, including the DSM-5 and the Research Domain Criteria, have and have not advanced the field need to be further understood. In order to do so, two key issues, namely causality and thresholding, should be addressed.

Medical classifications that are based on etiology have important advantages; such a classification system itself provides clear targets for intervention. In the case of mental disorders, this is not possible because the etiology of mental disorders is not only multicausal but also incompletely understood. Importantly, the ICD-11 chapter on Mental, Behavioral or Neurodevelopmental Disorders incorporates the issues of etiology in a number of ways — certain groupings of disorders reflect common underlying mechanisms (e.g. disorders of addictive behaviour), certain diagnoses are based on specified causes (e.g. anxiety due to substance use or to a medical disorder), and certain causal factors can be classified (e.g. in the chapter on Factors Influencing Health Status and Contact with Health Services) but are not considered to be disorders. Continuous revisions of the nosology are important in ensuring that etiology is included to the maximal extent possible, and the ICD-11 chapter on Mental, Behavioral or Neurodevelopmental Disorders therefore represents a useful update.

However, the fact that the ICD-11 classification of mental disorders is not entirely based on causality raises some important considerations. First, there is not necessarily a close relationship between diagnosis, underlying neurobiological vulnerabilities, social determinants, and appropriate intervention. Second, there is likely to be some artefactual increase in comorbidity — multiple diagnoses of mental disorders in a particular individual may not indicate that a range of truly separate sets of underlying psychobiological processes are involved but rather may simply point to greater underlying dysfunction. Third, there is a temptation to reify psychiatric constructs, inappropriately regarding them as natural kinds [136]. All of these considerations point to the importance of regarding mental disorder classification systems as tentative, of emphasizing the need for careful individualized assessment, and of recognizing the need for a range of interventions to address the multiple causal factors at play in mental illness.

Medical classifications face the perennial problem of drawing thresholds among disorders as well as between such disorders and normality; this is a particularly fraught issue in mental disorders, where critics have raised concerns about inappropriate over-medicalization. The hope that advances in neuroscience would lead to biomarkers with sensitivity and specificity has not materialized. Importantly, given its focus on use in a wide range of settings, the WHO Department of Mental Health and Substance Abuse is providing diagnostic guidelines for the ICD-11 chapter on Mental, Behavioral or Neurodevelopmental Disorders that allow flexible use of clinical judgment, rather than focusing on narrow stipulations of symptom counts or duration that may improve reliability but not necessarily validity. These ICD-11 diagnostic guidelines for use in clinical settings have, however, undergone rigorous field testing; changes in the diagnostic guidelines from ICD-10 to ICD-11 are not simply arbitrary or capricious, but rather reflect the outcome of ongoing developments in nosological science.

Nevertheless, the fact that the ICD-11 chapter relies on clinical guidelines rather than on specific cut-points to draw boundaries, again raises a number of important considerations. First, the ICD-11 diagnostic guidelines place a great deal of emphasis on the ‘clinical criterion’ — the distress and impairment that are associated with symptoms. Second, although dimensional constructs have been included in a number of places in the ICD-11, this remains a largely categorical system that does not incorporate fine-tuned assessment of symptom variations. Third, there will again be a temptation to reify the particular boundaries set by the classification system, even where this is explicitly not intended, inappropriately overlooking the burden of disease associated with subclinical presentations or inappropriately underestimating the resilience of those who meet clinical thresholds. These considerations again point to the tentative nature of mental disorders classifications, to the need for supplementary individualized assessment, and to the importance of non-reductionistic conceptual approaches.

In summary, our view of psychiatric classification in general, and of the ICD-11 in particular, is one that avoids the overly optimistic view that nosology can or should resolve all the key debates in the field, and one that steers clear of the overly pessimistic view that the classification of mental disorders is inherently deeply and necessarily flawed. Global mental health is intimately linked with the sustainable goals for development [137], and the ICD-11 provides an important tool for these endeavors. In particular, its focus on global applicability and clinical utility in non-specialized primary care settings will maximize the likelihood that it will be adopted by mental health professionals and administrators as well as enhance its application in non-specialist settings and its usefulness for scaling up evidence-based interventions. The new mental disorders classification in ICD-11 and its accompanying diagnostic guidelines therefore represent an important, albeit iterative, advance for the field.

References

1.
Stein DJ, Billieux J, Bowden-Jones H, et al. Balancing validity, utility and public health considerations in disorders due to addictive behaviours. World Psychiatry. 2018;17(3):363–4.
PubMed PubMed Central Google Scholar
2.
Kraus SW, Krueger RB, Briken P, et al. Compulsive sexual behaviour disorder in the ICD-11. World Psychiatry. 2018;17(1):109–10.
PubMed PubMed Central Google Scholar
3.
Reed GM, Ayuso-Mateos JL. Towards a more clinically useful international World Health Organisation classification of mental disorders. Rev Psiquiatria Salud Ment. 2011;4(3):113–6.
Google Scholar
4.
Thapar A, Rutter M. Neurodevelopmental disorders. In: Thapar A, Pine DS, Leckman JF, Scott S, Snowling MJ, Taylor E, editors. Rutter’s child and adolescent psychiatry. 6th ed. Oxford: Wiley Blackwell; 2015.
Google Scholar
5.
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington: American Psychiatric Publishing; 2013.
Google Scholar
6.
Volkmar FR, McPartland JC. From Kanner to DSM-5: autism as an evolving diagnostic concept. Annu Rev Clin Psychol. 2014;10:193–212.
PubMed Google Scholar
7.
Mahjouri S, Lord CE. What the DSM-5 portends for research, diagnosis, and treatment of autism spectrum disorders. Curr Psychiatry Rep. 2012;14(6):739–47.
PubMed Google Scholar
8.
Sharma S, Woolfson LM, Hunter SC. Confusion and inconsistency in diagnosis of Asperger syndrome: a review of studies from 1981 to 2010. Autism. 2012;16(5):465–86.
PubMed Google Scholar
9.
Sturman N, Deckx L, van Driel ML. Methylphenidate for children and adolescents with autism spectrum disorder. Cochrane Database Syst Rev. 2017;11:CD011144.
PubMed Google Scholar
10.
Stergiakouli E, Davey Smith G, Martin J, et al. Shared genetic influences between dimensional ASD and ADHD symptoms during child and adolescent development. Mol Autism. 2017;8:18.
PubMed PubMed Central Google Scholar
11.
Rommelse NN, Geurts HF, Franke B, Buitelaar JK, Hartman CA. A review on cognitive and brain endophenotypes that may be common in autism spectrum disorder and attention-deficit/hyperactivity disorder and facilitate the search for pleiotropic genes. Neurosci Biobehav Rev. 2011;35(6):1363–96.
CAS PubMed Google Scholar
12.
Ameis SH, Lerch JP, Taylor MJ, et al. A diffusion tensor imaging study in children with ADHD, autism Spectrum disorder, OCD, and matched controls: distinct and non-distinct white matter disruption and dimensional brain-behavior relationships. Am J Psychiatry. 2016;173(12):1213–22.
PubMed Google Scholar
13.
Keshavan MS, Paus T. Neurodevelopmental trajectories, disconnection, and schizophrenia risk. JAMA Psychiatry. 2015;72(9):943–5.
PubMed Google Scholar
14.
Hagan CC, Graham JM, Wilkinson PO, et al. Neurodevelopment and ages of onset in depressive disorders. Lancet Psychiatry. 2015;2(12):1112–6.
PubMed Google Scholar
15.
Dash S, Clarke G, Berk M, Jacka FN. The gut microbiome and diet in psychiatry: focus on depression. Curr Opin Psychiatry. 2015;28(1):1–6.
PubMed Google Scholar
16.
Kim JW, Szigethy EM, Melhem NM, Saghafi EM, Brent DA. Inflammatory markers and the pathogenesis of pediatric depression and suicide: a systematic review of the literature. J Clin Psychiatry. 2014;75(11):1242–53.
PubMed Google Scholar
17.
Blake MJ, Trinder JA, Allen NB. Mechanisms underlying the association between insomnia, anxiety, and depression in adolescence: implications for behavioral sleep interventions. Clin Psychol Rev. 2018;63:25–40. https://doi.org/10.1016/j.cpr.2018.05.006.
Article PubMed Google Scholar
18.
International Advisory Group for the Revision of ICD-10 Mental and Behavioural Disorders. A conceptual framework for the revision of the ICD-10 classification of mental and behavioural disorders. World Psychiatry. 2011;10:86–92.
PubMed Central Google Scholar
19.
Gaebel W. Status of psychotic disorders in ICD-11. Schizophr Bull. 2012;38(5):895–8.
PubMed PubMed Central Google Scholar
20.
First MB, Reed GM, Hyman SE, Saxena S. The development of the ICD-11 clinical descriptions and diagnostic guidelines for mental and behavioural disorders. World Psychiatry. 2015;14:82–90.
PubMed PubMed Central Google Scholar
21.
Keller WR, Fischer BA, Carpenter WT Jr. Revisiting the diagnosis of schizophrenia: where have we been and where are we going? CNS Neurosci Ther. 2011;17:83–8.
PubMed Google Scholar
22.
Nordgaard J, Arnfred SM, Handest P, Parnas J. The diagnostic status of first-rank symptoms. Schizophr Bull. 2008;34:137–54.
PubMed Google Scholar
23.
Marneros A, Deister A, Rohde A, Jünemann H, Fimmers R. Long-term course of schizoaffective disorders. Part I: definitions, methods, frequency of episodes and cycles. Eur Arch Psychiatry Neurol Sci. 1988;237:264–75.
CAS PubMed Google Scholar
24.
Marneros A. The schizoaffective phenomenon: the state of the art. Acta Psychiatr Scand. 2003;108(Suppl. 418):29–33.
Google Scholar
25.
Jablensky A. In: Gaebel W, editor. Diagnosis and revision of the classification system. In: Schizophrenia: Current Science and Clinical Practice. Chichester: Wiley; 2011. p. 1–30.
Google Scholar
26.
Bromet EJ, Naz B, Fochtmann LJ, Carlson GA, Tanenberg-Karant M. Long-term diagnostic stability and outcome in recent first-episode cohort studies of schizophrenia. Schizophr Bull. 2005;31:639–49.
PubMed Google Scholar
27.
Green MF, Kern RS, Heaton RK. Longitudinal studies of cognition and functional outcome in schizophrenia: implications for MATRICS. Schizophr Res. 2004;72:41–51.
PubMed Google Scholar
28.
Francis A. Catatonia: diagnosis, classification, and treatment. Curr Psychiatry Rep. 2010;12:180–5.
PubMed Google Scholar
29.
Van der Heijden FM, Tuinier S, Arts NJ, Hoogendoorn ML, Kahn RS, Verhoeven WM. Catatonia: disappeared or under-diagnosed? Psychopathology. 2005;38:3–8.
PubMed Google Scholar
30.
Reed GM, Correia JM, Esparza P, Saxena S, Maj M. The WPA-WHO global survey of psychiatrists’ attitudes towards mental disorders classification. World Psychiatry. 2011;10:118–31.
PubMed PubMed Central Google Scholar
31.
Reed GM, Sharan P, Rebello TJ, et al. The ICD-11 developmental field study of reliability of diagnoses of high-burden mental disorders: results among adult patients in mental health settings of 13 countries. World Psychiatry. 2018;17:174–86.
PubMed PubMed Central Google Scholar
32.
Gaebel W, Riesbeck M, Zielasek J, et al. Web-based field studies on diagnostic classification and code assignment of mental disorders: comparison of ICD-11 and ICD-10. Fortschr Neurol Psychiatr. 2018;86:163–71.
PubMed Google Scholar
33.
Montgomery K. How doctors think: clinical judgment and the practice of medicine. Oxford: Oxford University Press; 2005.
34.
Vieta E, Berk M, Schulze TG, et al. Bipolar disorders. Nat Rev Dis Primers. 2018;8(4):18008.
Google Scholar
35.
Vieta E, Salagre E, Grande I, et al. Early intervention in bipolar disorder. Am J Psychiatry. 2018;175(5):411–26.
PubMed Google Scholar
36.
Berk M, Post R, Ratheesh A, et al. Staging in bipolar disorder: from theoretical framework to clinical utility. World Psychiatry. 2017;6(3):236–44.
Google Scholar
37.
Malhi GS, Berk M, Morris G, et al. Mixed mood: the not so United States? Bipolar Disord. 2017;19(4):242–5.
PubMed Google Scholar
38.
Berk L, Hallam KT, Venugopal K, et al. Impact of irritability: a 2-year observational study of outpatients with bipolar I or schizoaffective disorder. Bipolar Disord. 2017;19(3):184–97.
PubMed Google Scholar
39.
Malhi GS, Byrow Y, Fritz K, Berk L, Berk M. Does irritability determine mood depending on age? Aust NZ J Psychiatry. 2017;51(3):215–6.
Google Scholar
40.
Morris G, Walder K, McGee SL, et al. A model of the mitochondrial basis of bipolar disorder. Neurosci Biobehav Rev. 2017;74(Pt A):1–20.
CAS PubMed Google Scholar
41.
Bassett D, Mulder R, Outhred T, et al. Defining disorders with permeable borders: you say bipolar, I say borderline! Bipolar Disord. 2017;19(5):320–3.
PubMed Google Scholar
42.
Vieta E. DSM-5.1. Acta Psychiatr Scand. 2016;134(3):187–8.
CAS PubMed Google Scholar
43.
Freedman R, Lewis DA, Michels R, et al. The initial field trials of DSM-5: new blooms and old thorns. Am J Psychiatry. 2013;170(1):1–5.
PubMed Google Scholar
44.
Nemeroff CB, Weinberger D, Rutter M, et al. DSM-5: a collection of psychiatrist views on the changes, controversies, and future directions. BMC Med. 2013;11:202.
PubMed PubMed Central Google Scholar
45.
Carvalho AF, Köhler CA, Fernandes BS, et al. Bias in emerging biomarkers for bipolar disorder. Psychol Med. 2016;46(11):2287–97.
CAS PubMed Google Scholar
46.
Grande I, Berk M, Birmaher B, Vieta E. Bipolar disorder. Lancet. 2016;387(10027):1561–72.
PubMed Google Scholar
47.
McGlinchey JB, Zimmerman M, Young D, et al. Diagnosing major depressive disorder VIII. Are some symptoms better than others? J Nerv Ment Dis. 2006;194:785–90.
PubMed Google Scholar
48.
Mojtabai R. Bereavement-related depressive episodes: characteristics, 3-year course and implications for the DSM-5. Arch Gen Psychiatry. 2011;68:920–8.
PubMed Google Scholar
49.
Wakefield JC, Schmitz MF. Recurrence of bereavement-related depression: evidence for the validity of the DSM-IV bereavement exclusion from the epidemiologic catchment area study. J Nerv Ment Dis. 2012;200:480–5.
PubMed Google Scholar
50.
Blashfield RK. The classification of psychopathology. New York: Plenum; 1984.
Google Scholar
51.
Perlis RH, Cusin C, Fava M. Proposed DSM-5 mixed features are associated with greater likelihood of remission in out-patients with major depressive disorder. Psychol Med. 2014;44:1361–7.
CAS PubMed Google Scholar
52.
Reed GM, Keeley JW, Rebello TJ, et al. Clinical utility of ICD-11 diagnostic guidelines for high-burden mental disorders: results from mental health settings in 13 countries. World Psychiatry. 2018;17:306–15.
PubMed PubMed Central Google Scholar
53.
Penninx BW, Nolen WA, Lamers F, et al. Two-year course of depressive and anxiety disorders: results from the Netherlands study of depression and anxiety (NESDA). J Affect Disord. 2011;133:76–85.
PubMed Google Scholar
54.
Bruce SE, Yonkers KA, Otto MW, et al. Influence of psychiatric comorbidity on recovery and recurrence in generalized anxiety disorder, social phobia, and panic disorder: a 12-year prospective study. Am J Psychiatry. 2005;162:1179–87.
PubMed PubMed Central Google Scholar
55.
Kessler RC, Berglund PA, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication. Arch Gen Psychiatry. 2005;62:593–603.
Google Scholar
56.
Krueger RF, Kotov R, Watson D, et al. Progress in achieving quantitative classification of psychopathology. World Psychiatry. 2018;17:282–93.
PubMed PubMed Central Google Scholar
57.
Kogan CS, Stein DJ, Maj M, First MB, Emmelkamp PMG, Reed GM. The classification of anxiety and fear-related disorders in the ICD-11. Depress Anxiety. 2016;33:1141–54.
PubMed Google Scholar
58.
Betensky JD, Robinson DG, Gunduz-Bruce H, et al. Patterns of stress in schizophrenia. Psychiatry Res. 2008;160(1):38–46.
PubMed PubMed Central Google Scholar
59.
Friedman MJ. Finalizing PTSD in DSM-5: getting here from there and where to go next. J Traumatic Stress. 2013;26(5):548–56.
Google Scholar
60.
Brewin CR, Cloitre M, Hyland P, et al. A review of current evidence regarding the ICD-11 proposals for diagnosing PTSD and complex PTSD. Clin Psychol Rev. 2017;58:1–15.
PubMed Google Scholar
61.
Beltran RO, Llewellyn GM, Silove D. Clinicians' understanding of international statistical classification of diseases and related health problems, 10th revision diagnostic criteria: F62.0 enduring personality change after catastrophic experience. Compr Psychiatry. 2008;49(6):593–602.
PubMed Google Scholar
62.
Maercker A, Brewin CR, Bryant RA, et al. Diagnosis and classification of disorders specifically associated with stress: proposals for ICD-11. World Psychiatry. 2013;12(3):198–206.
PubMed PubMed Central Google Scholar
63.
Jordan AH, Litz BT. Prolonged grief disorder: diagnostic, assessment, and treatment considerations. Prof Psychol Res Pract. 2014;45(3):180–7.
Google Scholar
64.
Bryant RA. Is pathological grief lasting more than 12 months grief or depression? Curr Opin Psychiatry. 2013;26(1):41–6.
PubMed Google Scholar
65.
Baumeister H, Kufner K. It is time to adjust the adjustment disorder category. Curr Opin Psychiatry. 2009;22(4):409–12.
PubMed Google Scholar
66.
Maercker A, Einsle F, Köllner V. Adjustment disorders as stress response syndromes: a new diagnostic concept and its exploration in a medical sample. Psychopathology. 2007;40(3):135–46.
PubMed Google Scholar
67.
Qin P. The impact of psychiatric illness on suicide: differences by diagnosis of disorders and by sex and age of subjects. J Psychiatr Res. 2011;45(11):1445–2.
PubMed Google Scholar
68.
Lorenz L, Perkonigg A, Maercker A. The course of adjustment disorder following involuntary job loss and its predictors of latent change. Clin Psychol Sci. 2018;6(5):647–57.
Google Scholar
69.
Keeley JW, Reed GM, Roberts MC, et al. Disorders specifically associated with stress: a case-controlled field study for ICD-11 mental and behavioural disorders. Int J Clin Health Psychol. 2016;16:109–27.
PubMed Google Scholar
70.
Hyland P, Ceannt R, Daccache F, et al. Are posttraumatic stress disorder (PTSD) and complex-PTSD distinguishable within a treatment-seeking sample of Syrian refugees living in Lebanon? Global Mental Health. 2018;5:e14.
CAS PubMed PubMed Central Google Scholar
71.
Karatzias T, Murphy P, Cloitre M, et al. Psychological interventions for ICD-11 complex PTSD symptoms: systematic review and meta-analysis. Psychol Med. 2019;49(11):1761–75.
PubMed Google Scholar
72.
Rosner R, Bartl H, Pfoh G, Kotoučová M, Hagl M. Efficacy of an integrative CBT for prolonged grief disorder: a long-term follow-up. J Affect Disord. 2015;183:106–12.
PubMed Google Scholar
73.
World Health Organization. International Statistical Classification of Diseases and Related Health Problems (11th Revision). 2018. https://icd.who.int/en. Accessed 21 Nov 2019.
Google Scholar
74.
Claudino AM, Pike KM, Hay P, et al. The classification of feeding and eating disorders in the ICD-11: results of a field trial study comparing proposed ICD-11 guidelines with existing ICD-10 guidelines. BMC Med. 2019;17:93.
PubMed PubMed Central Google Scholar
75.
Attia E, Becker AE, Bryant-Waugh R, et al. Feeding and eating disorders in DSM-5. Am J Psychiatry. 2013;170(11):1237–9.
PubMed Google Scholar
76.
Eddy T, Harshman SG, Becker KR, et al. Radcliffe ARFID workgroup: toward operationalization of research diagnostic criteria and directions for the field. Int J Eat Disord. 2019;52(4):361–6.
PubMed Google Scholar
77.
Button EJ, Chadalavada B, Palmer RL. Mortality and predictors of death in a cohort of patients presenting to an eating disorders service. Int J Eat Disord. 2010;43:387–92.
PubMed Google Scholar
78.
Kandemir N, Becker K, Slattery M, et al. Impact of low-weight severity and menstrual status on bone in adolescent girls with anorexia nervosa. Int J Eat Disord. 2017;50:359–69.
PubMed PubMed Central Google Scholar
79.
Lock JD, Fitzpatrick KK. Anorexia nervosa. BMJ Clin Evid. 2009. p. 1011.
80.
Löwe B, Zipfel S, Buchholz C, Dupont Y, Reas D, Herzog W. Long-term outcome of anorexia nervosa in a prospective 21-year follow-up study. Psychol Med. 2001;31:881–90.
PubMed Google Scholar
81.
Dakanalis A, Alix TC, Colmegna F, Riva G, Clerici M. Evaluation of the DSM-5 severity ratings for anoexaia nervosa in a clinical sample. Psychiatry Res. 2018;262:124–8.
PubMed Google Scholar
82.
Dalle Grave R, Sartirana M, El Ghoch M, Calugi S. DSM-5 severity specifiers for anorexia nervosa and treatment outcomes in adult females. Eat Behav. 2018;31:18–23.
PubMed Google Scholar
83.
Machado PP, Grilo CM, Crosby RD. Evaluation of the DSM-5 severity indicator for anorexia nervosa. Eur Eat Disord Rev. 2017;25:221–3.
PubMed Google Scholar
84.
Reas DL, Rø Ø. Investigating the DSM-5 severity specifiers based on thinness for adults with anorexia nervosa. Int J Eat Disord. 2017;50:990–4.
PubMed Google Scholar
85.
Gianni LG, Roberto CA, Attia E, et al. Mild, moderate, meaningful? Examining the psychological and functioning correlates of DSM-5 eating disorder specifiers. Int J Eat Disord. 2017;50:906–16.
Google Scholar
86.
Smith KE, Ellison JM, Crosby RD, et al. The validity of DSM-5 severity specifiers for anorexia nervosa, bulimia nervosa, and binge-eating disorder. Int J Eat Disord. 2017;50:1109–13.
PubMed PubMed Central Google Scholar
87.
Wilson GT, Sysko R. Frequency of binge eating episodes in bulimia nervosa and binge eating disorder: diagnostic considerations. Int J Eat Disord. 2009;42(7):603–10.
PubMed Google Scholar
88.
Striegel-Moore R, Franko DL. Should binge eating disorder be included in the DSM-V? A critical review of the state of the evidence. Ann Rev Clin Psychol. 2008;4:305–24.
Google Scholar
89.
Kessler RC, Berglund PA, Chiu WT, et al. The prevalence and correlates of binge eating disorder in the World Health Organization world mental health surveys. Biol Psychiatry. 2013;73:904–14.
PubMed PubMed Central Google Scholar
90.
Udo T, Bitley S, Grilo CM. Suicide attempts in US adults with lifetime DSM-5 eating disorders. BMC Med. 2019;17(1):120.
PubMed PubMed Central Google Scholar
91.
White MA, Grilo CM. Diagnostic efficiency of DSM-IV indicators for binge eating episodes. J Consult Clin Psychol. 2011;79(1):75–83.
PubMed PubMed Central Google Scholar
92.
Mond JM, Latner JD, Hay PH, Owen C, Rodgers B. Objective and subjective bulimic episodes in the classification of bulimic-type eating disorders: another nail in the coffin of a problematic distinction. Behav Res Ther. 2010;48(7):661–9.
CAS PubMed Google Scholar
93.
Wolfe BE, Baker CW, Smith AT, Kelly-Weeder S. Validity and utility of the current definition of binge eating. Int J Eat Disord. 2009;42:674–86.
PubMed Google Scholar
94.
Grilo CM, White MA. A controlled evaluation of the distress criterion for binge eating disorder. J Consult Clin Psychol. 2011;79(4):509–14.
PubMed PubMed Central Google Scholar
95.
Grilo CM. Why no cognitive body image feature such as overvaluation of shape/weight in the binge eating disorder diagnosis? Int J Eat Disord. 2013;46:208–11.
PubMed Google Scholar
96.
Udo T, Grilo CM. Prevalence and correlates of DSM-5-defined eating disorders in a nationally representative sample of US adults. Biol Psychiatry. 2018;84:3455–4.
Google Scholar
97.
Rumpf HJ, Achab S, Billieux J, et al. Including gaming disorder in the ICD-11: the need to do so from a clinical and public health perspective. J Behav Addict. 2018;16:1–6. https://doi.org/10.1556/2006.7.2018.59.
Article Google Scholar
98.
Potenza MN. Clinical neuropsychiatric considerations regarding nonsubstance or behavioral addictions. Dialogues Clin Neurosci. 2017;19(3):281–91.
PubMed PubMed Central Google Scholar
99.
Grant JE, Chamberlain SR. Expanding the definition of addiction: DSM-5 vs. ICD-11. CNS Spectr. 2016;21(4):300–3. https://doi.org/10.1017/S1092852916000183.
Article PubMed PubMed Central Google Scholar
100.
Grant JE, Atmaca M, Fineberg NA, et al. Impulse control disorders and ‘behavioural addictions’ in the ICD-11. World Psychiatry. 2014;13(2):125–7.
PubMed PubMed Central Google Scholar
101.
Fineberg NA, Chamberlain SR, Goudriaan AE, et al. New developments in human neurocognition: clinical, genetic, and brain imaging correlates of impulsivity and compulsivity. CNS Spectr. 2014;19(1):69–89.
PubMed PubMed Central Google Scholar
102.
van Rooij AJ, Ferguson CJ, Colder Carras M, et al. A weak scientific basis for gaming disorder: let us err on the side of caution. J Behav Addict. 2018;7(1):1–9. https://doi.org/10.1556/2006.7.2018.19.
Article PubMed PubMed Central Google Scholar
103.
Aarseth E, Bean AM, Boonen H, et al. Scholars’ open debate paper on the World Health Organization ICD-11 gaming disorder proposal. J Behav Addict. 2017;6(3):267–70. https://doi.org/10.1556/2006.5.2016.088.
Article PubMed PubMed Central Google Scholar
104.
Saunders JB, Hao W, Long J, et al. Gaming disorder: its delineation as an important condition for diagnosis, management and prevention. J Behav Addict. 2017;6:271–9. https://doi.org/10.1556/2006.6.2017.039.
Article PubMed PubMed Central Google Scholar
105.
Stein DJ, Phillips KA, Bolton D, Fulford KW, Sadler JZ, Kendler KS. What is a mental/psychiatric disorder? From DSM-IV to DSM-V. Psychol Med. 2010;40(11):1759–65. https://doi.org/10.1017/S0033291709992261.
CAS Article PubMed PubMed Central Google Scholar
106.
Leeman RF, Rowland BHP, Gebru NM, Potenza MN. Relationships among impulsive, addictive and sexual tendencies and behaviours: a systematic review of experimental and prospective studies in humans. Philos Trans R Soc Lond Ser B Biol Sci. 2019;374(1766):20180129. https://doi.org/10.1098/rstb.2018.0129.
Article Google Scholar
107.
Briken P, Basdekis-Jozsa R. Sexual addiction? When sexual behavior gets out of control. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2010;53(4):313–8. https://doi.org/10.1007/s00103-010-1033-z.
CAS Article PubMed Google Scholar
108.
Bancroft J, Vukadinovic Z. Sexual addiction, sexual compulsivity, sexual impulsivity, or what? Toward a theoretical model. J Sex Res. 2004;41:225–34.
PubMed Google Scholar
109.
Rettenberger M, Klein V, Briken P. The relationship between hypersexual behavior, sexual excitation, sexual inhibition, and personality traits. Arch Sex Behav. 2016;45:219–33.
PubMed Google Scholar
110.
Walton MT, Bhullar N. Hypersexuality, higher rates of intercourse, masturbation, sexual fantasy, and early sexual interest relate to higher sexual excitation/arousal. Arch Sex Behav. 2018;47:2177–83.
PubMed Google Scholar
111.
Dickenson JA, Gleason N, Coleman E, Miner MH. Prevalence of distress associated with difficulty controlling sexual urges, feelings, and behaviors in the United States. JAMA Netw Open. 2018;1(7):e184468.
PubMed PubMed Central Google Scholar
112.
Briken P, Habermann N, Berner W, Hill A. Diagnosis and treatment of sexual addiction: a survey among German sex therapists. Sex Addict Compulsivity. 2007;14:131–43.
Google Scholar
113.
Klein V, Rettenberger M, Briken P. Self-reported indicators of hypersexuality and its correlates in a female online sample. J Sex Med. 2014;11:1974–81.
PubMed Google Scholar
114.
Walton MT, Cantor JM, Bhullar N, Lykins AD. Hypersexuality: a critical review and introduction to the “sexhavior cycle”. Arch Sex Behav. 2017;46:2231–51.
PubMed Google Scholar
115.
Montgomery-Graham S. Conceptualization and assessment of hypersexual disorder: a systematic review of the literature. Sex Med Rev. 2017;5(2):146–62. https://doi.org/10.1016/j.sxmr.2016.11.001.
Article PubMed Google Scholar
116.
Hallberg J, Kaldo V, Arver S, Dhejne C, Jokinen J, Öberg KG. A randomized controlled study of group-administered cognitive behavioral therapy for hypersexual disorder in men. J Sex Med. 2019;16(5):733–45. https://doi.org/10.1016/j.jsxm.2019.03.005.
Article PubMed Google Scholar
117.
von Franqué F, Klein V, Briken P. Which techniques are used in psychotherapeutic interventions for nonparaphilic hypersexual behavior? Sex Med Rev. 2015;3:3–10.
Google Scholar
118.
Wainberg ML, Muench F, Morgenstern J, et al. A double-blind study of citalopram versus placebo in the treatment of compulsive sexual behaviors in gay and bisexual men. J Clin Psychiatry. 2006;67:1968–73.
CAS PubMed Google Scholar
119.
von Krafft-Ebing R. In: Gugl H, Stichl A, editors. Psychopathia sexualis: Mit besonderer Berücksichtigung der konträren Sexualempfindung: Eine medicinisch-gerichtliche Studie für Ärzte und Juristen. 12th ed. Stuttgart: Enke; 1903.
Google Scholar
120.
Giese H. Psychopathologie der Sexualität. Stuttgart: Enke; 1962.
Google Scholar
121.
Carnes PJ. Out of the shadows: understanding sexual addiction. Minneapolis: CompCare Publications; 1983.
Google Scholar
122.
Levine MP, Troiden RR. The myth of sexual compulsivity. J Sex Res. 1998;25:347–63.
Google Scholar
123.
Skinner KB. Is pornography (sexual) addiction real? Psychology today. 2014. https://www.psychologytoday.com/us/blog/inside-porn-addiction/201411/is-pornography-sexual-addiction-real. Accessed 8 Oct 2019.
Google Scholar
124.
Dhejne C, Van Vlerken R, Heylens G, Arcelus J. Mental health and gender dysphoria: a review of the literature. Int Rev Psychiatry. 2016;28:44–57.
PubMed Google Scholar
125.
Valentine SE, Shipherd JC. A systematic review of social stress and mental health among transgender and gender non-conforming people in the United States. Clin Psychol Rev. 2018;66:24–38.
PubMed PubMed Central Google Scholar
126.
World Health Organization. Sexual health, human rights and the law. Geneva: WHO; 2015.
Google Scholar
127.
White Hughto JM, Reisner SL, Pachankis JE. Transgender stigma and health: a critical review of stigma determinants, mechanisms, and interventions. Soc Sci Med. 2015;147:222–31.
PubMed PubMed Central Google Scholar
128.
Knaak S, Mantler E, Szeto A. Mental illness-related stigma in healthcare: barriers to access and care and evidence-based solutions. Health Manage Forum. 2017;30:111–6.
Google Scholar
129.
Heim E, Kohrt BA, Koschorke M, Milenova M, Thronicroft G. Reducing mental health-related stigma in primary health care settings in low- and middle-income countries: a systematic review. Epidemiol Psychiatr Sci. 2018. https://doi.org/10.1017/S2045796018000458.
130.
Mak WW, Cheung FM, Wong SY, et al. Stigma towards people with psychiatric disorders. Hong Kong Med J. 2015;21(Suppl 2):9–12.
PubMed Google Scholar
131.
Clements-Nolle K, Marx R, Katz M. Attempted suicide among transgender persons: the influence of gender-based discrimination and victimization. J Homosex. 2006;51:53–69.
PubMed Google Scholar
132.
Grant JM, Mottet LA, Tanis J, Harrison J, Herman JL, Keisling M. Injustice at every turn: a report of the National Transgender Discrimination Survey. Washington: National Center for Transgender Equality and National Gay and Lesbian Task Force; 2011.
Google Scholar
133.
Drescher J, Cohen-Kettenis PT, Reed GM. Gender incongruence of childhood in the ICD-11: controversies, proposal, and rationale. Lancet Psychiatry. 2016;3:297–304.
PubMed Google Scholar
134.
Winter S, Ehrensaft D, Pickstone-Taylor S, De Cuypere G, Tando D. The psycho-medical case against a gender incongruence of childhood diagnosis. Lancet Psychiatry. 2016;3:404–5.
PubMed Google Scholar
135.
Richards C, Bouman WP, Seal L, Barker MJ, Nieder TO, T’Sjoen G. Non-binary or genderqueer genders. Int Rev Psychiatry. 2016;28:95–102.
PubMed Google Scholar
136.
Stein DJ. What is a mental disorder? A perspective from cognitive-affective science. Can J Psychiatr. 2013;58(12):656–62.
Google Scholar
137.
Patel V, Saxena S, Lund C, et al. The lancet commission on global mental health and sustainable development. Lancet. 2018;392(10157):1553–98.
PubMed Google Scholar

Download references

Acknowledgements

DJS is supported by the SAMRC Unit on Risk & Resilience in Mental Disorders.

MB is supported by a National Health and Medical Research Council (NHMRC) Senior Principal Research Fellowship (1059660 and 1156072).

EV thanks the support of the Spanish Ministry of Science, Innovation and Universities (PI15/00283) integrated into the Plan Nacional de I + D + I and co-financed by the ISCIII-Subdirección General de Evaluación y el Fondo Europeo de Desarrollo Regional (FEDER); CIBERSAM; and the Comissionat per a Universitats i Recerca del DIUE de la Generalitat de Catalunya to the Bipolar Disorders Group (2017 SGR 1365) and the project SLT006/17/00357 from PERIS 2016-2020 (Departament de Salut), CERCA Programme/Generalitat de Catalunya.

NAF is supported by a COST action Grant (CA16207; European network for problematic usage of the internet; European Cooperation in Science and Technology).

Author information

Affiliations

SA Medical Research Council Unit on Risk & Resilience in Mental Disorders, Dept of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
Dan J. Stein
Centre for Addiction and Mental Health, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
Peter Szatmari
Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
Wolfgang Gaebel
Deakin University, IMPACT, the Institute for Mental and Physical Health and Clinical Translation, School of Medicine, Barwon Health, Geelong, Australia
Michael Berk
Orygen, The National Centre of Excellence in Youth Mental Health and the Centre for Youth Mental Health, Parkville, Australia
Michael Berk
Florey Institute for Neuroscience and Mental Health, Parkville, Australia
Michael Berk
Department of Psychiatry, University of Melbourne, Parkville, Australia
Michael Berk
Bipolar Disorders Unit, Hospital Clinic, Institute of Neurosciences, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Catalonia, Spain
Eduard Vieta
Department of Psychiatry, University of Campania ‘L. Vanvitelli’, Naples, Italy
Mario Maj
Department of Developmental Psychology, Interdisciplinary Center Psychopathology and Emotion Regulation, University of Groningen, Groningen, The Netherlands
Ymkje Anna de Vries, Annelieke M. Roest & Peter de Jonge
Department of Psychology – Psychopathology and Clinical Intervention, University of Zurich, Zurich, Switzerland
Andreas Maercker
Research Deparment of Clinical, Educational and Health Psychology, University College London, London, UK
Chris R. Brewin
Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
Kathleen M. Pike & Geoffrey M. Reed
Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
Carlos M. Grilo
Hertfordshire Partnership University NHS Foundation Trust and University of Hertfordshire, Welwyn Garden City, UK
Naomi A. Fineberg
Institute for Sex Research, Sexual Medicine & Forensic Psychiatry, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
Peer Briken
Department of Medical Psychology, Amsterdam UMC, Amsterdam, The Netherlands
Peggy T. Cohen-Kettenis
Department of Mental Health and Substance Abuse, World Health Organization, Geneva, Switzerland
Geoffrey M. Reed

Authors

Dan J. Stein
View author publications
You can also search for this author in PubMed Google Scholar
Peter Szatmari
View author publications
You can also search for this author in PubMed Google Scholar
Wolfgang Gaebel
View author publications
You can also search for this author in PubMed Google Scholar
Michael Berk
View author publications
You can also search for this author in PubMed Google Scholar
Eduard Vieta
View author publications
You can also search for this author in PubMed Google Scholar
Mario Maj
View author publications
You can also search for this author in PubMed Google Scholar
Ymkje Anna de Vries
View author publications
You can also search for this author in PubMed Google Scholar
Annelieke M. Roest
View author publications
You can also search for this author in PubMed Google Scholar
Peter de Jonge
View author publications
You can also search for this author in PubMed Google Scholar
Andreas Maercker
View author publications
You can also search for this author in PubMed Google Scholar
Chris R. Brewin
View author publications
You can also search for this author in PubMed Google Scholar
Kathleen M. Pike
View author publications
You can also search for this author in PubMed Google Scholar
Carlos M. Grilo
View author publications
You can also search for this author in PubMed Google Scholar
Naomi A. Fineberg
View author publications
You can also search for this author in PubMed Google Scholar
Peer Briken
View author publications
You can also search for this author in PubMed Google Scholar
Peggy T. Cohen-Kettenis
View author publications
You can also search for this author in PubMed Google Scholar
Geoffrey M. Reed
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

All authors were involved in drafting the manuscript and agreed to its publication. All authors read and approved their sections of the final manuscript. DJS and GMR (corresponding authors) read and approved all sections of the final manuscript.

Authors’ information

Except as specifically stated, the opinions expressed in this article are those of the authors and do not represent the official policies or positions of the WHO.

In addition to their email addresses, the following authors can be contacted using Twitter:

DJS: @DanJStein

KMP: @pikekm

Corresponding authors

Correspondence to Dan J. Stein or Geoffrey M. Reed.

Ethics declarations

Competing interests

DJS has received research grants or consultancy honoraria from Lundbeck and Sun.

MB has received Grant/Research Support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, Medical Benefits Fund, National Health and Medical Research Council, Medical Research Futures Fund, Beyond Blue, Rotary Health, A2 milk company, Meat and Livestock Board, Woolworths, Avant and the Harry Windsor Foundation, has been a speaker for Astra Zeneca, Lundbeck, Merck, Pfizer, and served as a consultant to Allergan, Astra Zeneca, Bioadvantex, Bionomics, Collaborative Medicinal Development, Lundbeck Merck, Pfizer and Servier.

MM has chaired the ICD-11 Working Group on Mood and Anxiety Disorders and has been a member of the DSM-5 Work Group on Mood Disorders. Apart from this, he has no potential conflicts of interests to declare.

AMR, PdJ, PB, PS, and YAdV declare that they have no competing interests.

EV has received grants and served as consultant, advisor or CME speaker for the following entities: AB-Biotics, Abbott, Allergan, Angelini, Dainippon Sumitomo Pharma, Galenica, Janssen, Lundbeck, Novartis, Otsuka, Sage, Sanofi-Aventis, and Takeda.

KMP reports no conflicts or competing interests. She served on the Culture Consultation Group for the DSM-5. She has received funds from Shire Pharmaceutical for an independent investigator research study.

CMG reports no conflicts or competing interests but reports several broader interests, which, however, did not influence this paper, including Consultant to Sunovion and Weight Watchers International, honoraria for lectures, CME activities and presentations at scientific conferences, and royalties from Guilford Press and Taylor & Francis Publishers for academic books.

NAF has received personal fees from Sun, Abbott, Lundbeck, Taylor and Francis, and Oxford University Press; personal fees and non-financial support from Otsuka-Lundbeck, the MHRA, the BAP, the RANZCP, and Wiley; grants and non-financial support from the EU, ECNP, and Shire; non-financial support from the Indian Association of Biological Psychiatry, WHO, CINP, International Forum of Mood and Anxiety Disorders, International College of Obsessive Compulsive Spectrum Disorders, and RCPsych; and grants and non-financial support from the NIHR, MRC, and Wellcome.

PTC-K was chair of the Gender Identity Disorders Subworking Group of the DSM-5.

WG was a Member of the APA Working Group on Psychotic Disorders. He was a Member of the WHO Topic Advisory Group on Mental and Behavioral Disorders, and he is a Member of the Field Study Coordination Group, of the WHO FIC ICD-11 Medical and Scientific Advisory Committee, and of the WHO Advisory Group on the Implementation of ICD-11.

AM, CRB, DJS, WG, MM, AM, KMP, NAF, PB, and PTC-K were members of the International Advisory Group and/or Expert Working Groups involved in the development of ICD-11 Mental, Behavioral or Neurodevelopmental Disorders. GMR is a member of the WHO Secretariat, Department of Mental Health and Substance Abuse. He has no competing interests pertaining to this submission.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Cite this article

Stein, D.J., Szatmari, P., Gaebel, W. et al. Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies. BMC Med 18, 21 (2020). https://doi.org/10.1186/s12916-020-1495-2

Download citation

Received: 02 October 2019
Accepted: 09 January 2020
Published: 27 January 2020
DOI: https://doi.org/10.1186/s12916-020-1495-2

Keywords

Mental disorder
Diagnosis
Classification
ICD-11

Mental, behavioral and neurodevelopmental disorders in the ICD-11: an international perspective on key changes and controversies

Abstract

Introduction

Dan J. Stein (Fig. 1) and Geoffrey M. Reed (Fig. 2)

Neurodevelopmental disorders in the ICD-11: has the term outlived its usefulness?

Peter Szatmari (Fig. 3)

Schizophrenia or other primary psychotic disorders

Wolfgang Gaebel (Fig. 4)

Bipolar disorders

Michael Berk (Fig. 5) and Eduard Vieta (Fig. 6)

Depression

Mario Maj (Fig. 7)

Anxiety disorders and obsessive–compulsive disorder

Ymkje Anna de Vries (Fig. 8), Annelieke M. Roest (Fig. 9), Peter de Jonge (Fig. 10)

Disorders specifically associated with stress

Andreas Maercker (Fig. 11) and Chris R. Brewin (Fig. 12)

PTSD

Complex PTSD

Prolonged grief disorder

Adjustment disorder

The classification of feeding and eating disorders

Kathleen M. Pike (Fig. 13) and Carlos M. Grilo (Fig. 14)

Disorders of addictive behaviour

Naomi A Fineberg (Fig. 15)

Compulsive sexual behaviour disorder

Peer Briken (Fig. 16)

Gender identity-related diagnoses

Peggy T. Cohen-Kettenis (Fig. 17)

Conclusion

Dan J. Stein and Geoffrey M. Reed

References

Acknowledgements

Author information

Affiliations

Contributions

Authors’ information

Corresponding authors

Ethics declarations

Competing interests

Additional information

Publisher’s Note

Rights and permissions

About this article

Cite this article

Keywords

BMC Medicine

Contact us