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Impact of early daycare on healthcare resource use related to upper respiratory tract infections during childhood: prospective WHISTLER cohort study

BMC Medicine volume 12, Article number: 107 (2014) Cite this article

Abstract

Background

Daycare attendance is an established risk factor for upper respiratory tract infections (URTI) and acute otitis media (AOM). Whether this results in higher use of healthcare resources during childhood remains unknown. We aim to assess the effect of first year daycare attendance on the timing and use of healthcare resources for URTI and AOM episodes during early childhood.

Methods

In the Wheezing-Illnesses-STudy-LEidsche-Rijn birth cohort, 2,217 children were prospectively followed up to age six years. Children were categorized according to first-year daycare attendance (yes versus no) and age at entry when applicable (age 0 to 2 months, 3 to 5 months and 6 to 12 months). Information on general practitioner (GP) diagnosed URTI and AOM, GP consultations, antibiotic prescriptions and specialist referral was collected from medical records. Daycare attendance was recorded by monthly questionnaires during the first year of life.

Results

First-year daycare attendees and non-attendees had similar total six-year rates of GP-diagnosed URTI and AOM episodes (59/100 child-years, 95% confidence interval 57 to 61 versus 56/100 child-years, 53 to 59). Daycare attendees had more GP-diagnosed URTI and AOM episodes before the age of one year and fewer beyond the age of four years than non-attendees (P interaction <0.001). Daycare attendees had higher total six-year rates for GP consultation (adjusted rate ratio 1.15, 1.00 to 1.31) and higher risk for specialist referrals (hazard ratio: 1.43, 1.01 to 2.03). The number of antibiotic prescriptions in the first six years of life was only significantly increased among children who entered daycare between six to twelve months of age (rate ratio 1.32, 1.04 to 1.67). This subgroup of child-care attendees also had the highest overall URTI and AOM incidence rates, GP consultation rates and risk for specialist referral.

Conclusions

Children who enter daycare in the first year of life, have URTI and AOM at an earlier age, leading to higher use of healthcare resources compared to non-attendees, especially when entering daycare between six to twelve months. These findings emphasize the need for improved prevention strategies in daycare facilities to lower infection rates at the early ages.

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Background

Daycare attendance is associated with increased incidence of respiratory infections at preschool age and it has been suggested that the incidence simply shifts to earlier ages such that the overall incidence remains similar. However, respiratory infections early in life might lead to a higher use of healthcare resources.

Upper respiratory tract infections (URTIs) and acute otitis media (AOM) are the most common reasons for doctor consultations and antibiotic use in children. The primary care incidence of URTI, including AOM, in children up to four years of age is estimated at approximately 400 per 1,000 child-years [1, 2]. These infections have a significant impact on the child and on family life and carry a considerable economic burden [3–7].

Daycare attendance is a well-established risk factor for URTIs and AOM in preschool children [8–13]. Early life daycare attendance, however, has been suggested to protect against the common cold and ear infections beyond the preschool years [14–16]. Although this implies that daycare attendance influences the timing of infections rather than the overall number of infections a child experiences during childhood, the risk of infection-related complications might be higher during infancy compared to childhood, due to immaturity of the immune system [17].

Previous studies showed higher general practitioner (GP) consultation and antibiotic prescription rates in daycare attendees [12, 18–22]. Furthermore, daycare attendance leads to higher specialist referral rates in children under the age of two years [23]. Whether this increased use of healthcare resources among daycare attendees at preschool age is offset by a lower use of healthcare resources beyond preschool age in the same children remains to be determined.

The aim of this cohort study, therefore, is to assess the long-term effect of first-year daycare attendance on the number and timing of GP diagnosed URTI and AOM episodes and total use of healthcare resources up to six years of age.

Methods

Whistler cohort study

This study was performed as part of the WHeezing and Illnesses STudy LEidsche Rijn (WHISTLER), a prospective birth-cohort study on perinatal and infant risk factors for wheezing illness. WHISTLER enrolled healthy newborns born between December 2001 and December 2012 living in the Leidsche Rijn district of Utrecht, The Netherlands. Study design and rationale of WHISTLER are described in detail elsewhere [24]. Briefly, parents of newborns were invited by telephone to participate within two months after birth. Exclusion criteria at baseline were gestational age <36 weeks, major congenital abnormalities and neonatal respiratory disease.

Data collection

At baseline, data were collected on prenatal risk factors and parental characteristics. Data on postnatal risk factors, such as daycare attendance and duration of breastfeeding, were collected prospectively by monthly questionnaires during the first 12 consecutive months.

Follow-up of participants included extraction of six years of relevant medical data from the GP electronic medical database using the International Classification of Primary Care (ICPC) [25] and the Anatomical Therapeutical Chemical (ATC J01) coding systems. Specifically, we extracted data on URTI and AOM related GP consultations, antibiotic prescriptions and specialist referrals for respiratory infections for all participants with a GP practicing within the Leidsche Rijn research district. The paediatric medical ethics committee of the University Medical Center Utrecht approved the study. Written informed consent was obtained from the parents.

Definition of outcomes

For the primary outcome variable we combined the number of GP-diagnosed URTI and AOM episodes during the first six years of life. URTI was defined as ICPC code R74 (acute URTI), R75 (sinusitis), R76 (tonsillitis/peritonsillar abscess), and/or R77 (acute laryngitis/tracheitis). AOM was defined as ICPC code H71 (AOM). A new episode of URTI and AOM was documented after a disease-free interval of at least 28 days. For each episode, we extracted additional data on number of GP consultations per URTI and AOM episode, related antibiotic prescriptions and specialist referrals. An antibiotic prescription or referral was considered to be related when dated from seven days before the start of an episode for URTI or AOM until seven days after the end of an episode.

Definition of exposure and confounders

The exposure variables of interest were daycare attendance in the first year of life and age of entry, defined as the age at which a child first entered daycare for at least one half day per week in the first year of follow-up. Age of entry was categorised as: (1) no daycare in first year of follow-up (reference group); (2) start of daycare before three months of age; (3) from three to five months of age; and (4) six to twelve months of age. Additional infant characteristics, such as gender, parental education level as an indicator for socioeconomic status (SES), presence of older siblings and duration of exclusive breastfeeding, were considered as confounders. Educational level was categorised as high if one or both parents had completed at least vocational or university education and middle/low if both parents completed education lower than vocational or university level. Duration of exclusive breastfeeding was divided into four categories: no breastfeeding, one to three months, four to six months and more than six months of breastfeeding.

Statistical analysis

Baseline characteristics of children according to first-year daycare attendance were compared using Chi-squared tests. For descriptive purposes, the incidence of URTI and AOM per 100 child-years was calculated by dividing the number of URTI and AOM episodes by the total number of child-years. Incidence was calculated per one-year age categories separately up to six years of age. The distribution of GP diagnosed URTI and AOM episodes, GP consultations for URTI or AOM and antibiotic prescriptions, were strongly over-dispersed. Therefore, we used generalized estimating equations (GEE) with a negative binomial link function to assess the association between first-year daycare attendance and the number of episodes of URTI and AOM with no first-year daycare as the reference group. The GEE method takes into account the correlation between repeated measurements in the same individual. To test whether the effect of first-year daycare on URTI and AOM was age-dependent, an interaction term for daycare attendance with age was included in the GEE model. The regression coefficients from the GEE model reflect an incidence rate ratio (IRR).

Next, we studied the associations between daycare attendance and cumulative number of GP consultations for URTI and AOM and antibiotic prescriptions for URTI and AOM in the first six years of life. We used generalized linear models with a negative binomial link function. GP follow-up duration was used as the offset variable to indicate exposure time. GP follow-up duration was estimated as the time from birth, as if they were registered by the GP within the first three months of life, or in case of a registry beyond the first three months of age, from time of GP registry until the last known date of follow-up or until their sixth birthday. The regression coefficients reflect rate ratios (RR).

Cox proportional hazard regression was performed to study the association between first-year daycare attendance and first URTI or AOM related specialist referral. GP follow-up duration was used as the underlying time metric. We censored individual observations either at the date of a first event, at the last known date of follow-up, or at the age of six years. The regression coefficients reflect a hazard ratio (HR), which should be interpreted as a relative risk.

All models were adjusted for potential confounders, including gender, parental education level, older siblings and duration of exclusive breastfeeding.

Because of missing values in parental- and child-related factors, a substantial proportion of the cases could not be used in the regression analysis. To address the potential bias incurred by using complete case-analysis, we imputed missing values using the multivariate imputation by chained equations (MICE) procedure in SPSS (version 20.0) [26]. The 10 imputed data sets were analysed and results combined. We averaged estimates of the variable to give a single mean estimate and adjusted standard errors according to the Rubin’s rule [27]. All statistical analyses were performed with SPSS version 20.0 (SPSS Inc, Chicago, IL, USA), SAS 9.2 (SAS Institute, Inc., Cary, NC, USA) and OpenEpi: Open Source Epidemiologic Statistics for Public Health (version 3.01, updated April 2013).

Results

Study population

During the entire WHISTLER recruitment period (December 2001 to December 2012), parents of 2,456 infants agreed to participate in this study. In April 2013, 2,217 infants (90%) had a GP inside the research district and were included in this analysis. Complete data were available for 1,728 of the 2,217 children (78%) (Figure 1).

Figure 1
figure1

Flow chart of the study population.

Full size image

Baseline characteristics of the 1,728 children in the total study population and according to daycare attendance are listed in Table 1. Children attending daycare in the first year of life had higher educated parents, less frequently had older siblings and more often received breastfeeding compared to children cared for at home. During the 7,543 person-years of follow-up (median 4.9, maximum 6.0 years) 4,243 episodes of GP diagnosed URTI and AOM were recorded (Table 1). Overall, the incidence rate of URTI and AOM was highest in the first two years of life and declined thereafter. Compared to children cared for at home, first-year daycare attendees had a higher incidence rate for URTI and AOM in the first year of life, but lower incidence rates at ages four to six years.

Table 1 Characteristics of children and parents according to entry in daycare
Full size table

The following reported results pertain to the multiple imputation data sets (n = 2217).

Association between number of episodes and daycare attendance

Table 2 shows the number and incidence of GP-diagnosed URTI and AOM episodes during the first six years of life in children with and without first-year daycare attendance. After adjustment for gender, parental education level, presence of older siblings and duration of exclusive breastfeeding, the average six-year incidence was not significantly different between children who did and did not attend daycare. Test for interaction revealed that the association between first-year daycare attendance and URTI and AOM incidence was age-dependent (P <0.001). Additional analysis showed that after using any (partial or exclusive) breastfeeding as a confounder, instead of exclusive breastfeeding, the rate ratios remained similar for first-year daycare (data not shown).Figure 2 shows the adjusted incidence rate ratios for the outcomes at separate ages, 0 to 6 years, in children with and without first-year daycare and according to age at entry. During the first year of life the number of episodes was higher in the children attending daycare (adjusted IRR (aIRR): 1.40; 95% confidence interval (CI): 1.25 to 1.57) compared to children cared for at home. Between age one and four years differences were minimal and mostly non-significant. After preschool age (≥4 years of life in the Netherlands) the aIRRs reversed, showing lower IRRs in children attending daycare (aIRR age four to five years: 0.87; 95% CI: 0.80 to 0.95 and age five to six years: 0.85; 95% CI: 0.77 to 0.94). However, these lower incidence rates were not observed in children entering daycare from six months of age.

Table 2 Incidence of URTI and AOM during the first six years of life by daycare attendance
Full size table
Figure 2
figure2

The adjusted incidence rate ratios comparing the total number of URTI and AOM episodes at ages 0 to 6 years in children with and without day care in the first year of life and according to age at entry (no daycare in the first year is the reference group). Adjustments were made for: gender, parental education level, older siblings and duration of exclusive breastfeeding. AOM, acute otitis media; URTI, upper respiratory tract infection.

Full size image

URTI and AOM related use of healthcare resources

Table 3 shows the use of healthcare resources due to GP-diagnosed URTI and AOM episodes during the first six years of life in children with and without first-year daycare attendance. The cumulative number of GP consultations for URTI and AOM was 15% higher (adjusted (a)RR: 1.15; 95% CI 1.00 to 1.31) in the group attending daycare. Similarly, the risk for URTI or AOM related specialist referral in the first six years of life was increased in first year daycare attendees (aHR: 1.43; 95% CI: 1.01 to 2.03). Overall, the increase in number of GP consultations and risk for specialist referral was most pronounced in children entering daycare between six to twelve months of age when compared to those entering earlier (P <0.03 for trend). The number of antibiotic prescriptions in the first six years of life was 32% higher only in those children who entered daycare between six to twelve months of age (aRR for antibiotic: 1.32; 95% CI: 1.04 to 1.67).

Table 3 Use of healthcare resources during the first six years of life by daycare attendance
Full size table

Discussion

This study showed that the use of health care resources up to the age of six years was higher in children who entered day care in the first year of life compared to children cared for at home during that period, in spite of a similar total number of GP-diagnosed URTI and AOM episodes. This effect was most pronounced in children entering daycare between six to twelve months of age when compared to children starting at an even earlier age.

There is little doubt that daycare attendance is associated with an increased incidence of respiratory infections at preschool age (<4 years of age) [9–12, 21, 28]. The daycare environment provides a setting that facilitates transmission of infectious diseases. Prospective studies investigating the association between daycare attendance and infections beyond preschool age, showed a protective effect of daycare against respiratory infections in later childhood [14–16]. Our study confirms these findings to some extent, that is, children attending daycare before six months of age have lower rates of URTI and AOM after the age of four years and the cumulative incidence of URTI and AOM in the first six years was not significantly different in children who did and did not attend daycare in their first year of life. This suggests that first-year daycare attendance influences the timing of infections rather than the overall number of infections a child experiences during childhood. Notably, our study showed that the impact of URTI and AOM episodes on the child’s health in the first six years of life was substantially higher in children attending daycare as demonstrated by the increased number of GP consultations, antibiotic prescriptions and referrals among these children. These associations have, until now, only been demonstrated in preschool aged children [18–20, 22, 23]. Our study has demonstrated that the increased use of healthcare resources for URTI and AOM in children attending daycare during early infancy is persistent and not fully compensated by a lower use of healthcare resources during school age.

The increased use of healthcare resources in first-year daycare attendees suggests that early URTI and AOM episodes are more severe compared to later infections. Interestingly, children who enter daycare between six and twelve months of age show consistently higher healthcare resource use when compared to children entering before six months of age. A possible explanation may be the fact that children who attend daycare early in life have higher levels of maternal antibodies when being first exposed to pathogens compared to children attending daycare from six months of age [29, 30]. Another explanation could be that children who enter daycare beyond six months of age had more initial health problems resulting in delayed start of daycare and that these children were, therefore, at increased risk for developing infections. We, however, think that this is not very likely since the WHISTLER population is relatively healthy; children born pre-term, with congenital abnormalities or neonatal respiratory diseases were excluded at baseline. To gain more insight into the severity of URTI and AOM in daycare attendees at different ages, additional relevant aspects of disease episodes should be investigated in future studies, such as episode duration and severity of symptoms.

The major strength of our study on the long-term effects of daycare on GP-diagnosed URTI and AOM episodes and related healthcare resource use is the large sample size and the prospective data collection. Information on URTI and AOM episodes was collected independently of exposure status, which minimizes information bias. Still some methodological limitations should be considered. Firstly, the information collected on daycare attendance did not include data on the type of daycare facility or group size. Previously, large daycare group size was found to increase infection rates at early age [8, 9, 28, 31] and, according to Cote et al., protect against infections during elementary school years [15] when compared to children cared for at home. Furthermore, Morrissey et al. showed that children attending multiple daycare arrangements experience more respiratory problems [32]. Due to the lack of contrast in our study, the effect of daycare attendance might be underestimated for children attending large-group or multiple daycares and overestimated for small-group daycare attendees. Secondly, we cannot make inference to the long-term effects of daycare entry after the age of one year since data on daycare attendance beyond the first year of life were not available in our study. Some of the children classified in the reference group of no daycare might be exposed to daycare after their first year of life. This could lead to an underestimation of the effect of daycare. Finally, in this study, families with a high SES were overrepresented compared to the district population average. In a Swedish study, children from low SES families are less likely to attend daycare compared to children from higher SES families [18]. Indeed, the percentage of children attending daycare in this study is higher compared to the population average (approximately 80% in this study versus approximately 60% in the average Dutch population) [33]. Although this may imply selection, we consider selection bias unlikely since parents are included before the occurrence of URTI and AOM and the exposure to daycare. Furthermore, it is not plausible that the found associations between daycare attendance and the number of episodes and healthcare use for respiratory infections will differ by SES.

Conclusions

This study showed that children who enter daycare under the age of one year have a higher use of healthcare resources for URTI and AOM in the first six years compared to children who were cared for at home. Both groups had a similar number of GP consultations over the same period; however, the timing of infections in daycare attendees was earlier in life resulting in higher use of healthcare resources than the infections which occurred later in childhood in children cared for at home. Our findings emphasize the need for improved prevention strategies in daycare facilities to lower infection rates at the early ages. Future studies are needed to determine which prevention strategies may be most effective, for example, reduction of daycare group size or determination of an optimal age of day care entry.

Abbreviations

AOM:

acute otitis media

CI:

confidence interval

GEE:

generalized estimating equations

GP:

general practitioner

HR:

hazard ratio

IRR:

incidence rate ratio

SD:

standard deviation

SES:

socio-economic status

URTI:

upper respiratory tract infection

WHISTLER:

WHeezing Illnesses STudy LEidsche Rijn.

References

  1. 1.

    Hak E, Rovers MM, Kuyvenhoven MM, Schellevis FG, Verheij TJ: Incidence of GP-diagnosed respiratory tract infections according to age, gender and high-risk co-morbidity: the Second Dutch National Survey of General Practice. Fam Pract. 2006, 23: 291-294.

    CAS  Article  PubMed  Google Scholar 

  2. 2.

    Van Deursen AM, Verheij TJ, Rovers MM, Veenhoven RH, Groenwold RH, Bonten MJ, Sanders EA: Trends in primary-care consultations, comorbidities, and antibiotic prescriptions for respiratory infections in The Netherlands before implementation of pneumococcal vaccines for infants. Epidemiol Infect. 2012, 140: 823-834.

    CAS  Article  PubMed  Google Scholar 

  3. 3.

    Brouwer CN, Rovers MM, Maille AR, Veenhoven RH, Grobbee DE, Sanders EA, Schilder AG: The impact of recurrent acute otitis media on the quality of life of children and their caregivers. Clin Otolaryngol. 2005, 30: 258-265.

    CAS  Article  PubMed  Google Scholar 

  4. 4.

    Monasta L, Ronfani L, Marchetti F, Montico M, Vecchi Brumatti L, Bavcar A, Grasso D, Barbiero C, Tamburlini G: Burden of disease caused by otitis media: systematic review and global estimates. PloS One. 2012, 7: e36226.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  5. 5.

    Rovers MM: The burden of otitis media. Vaccine. 2008, 26: G2-G4.

    Article  PubMed  Google Scholar 

  6. 6.

    Schnabel E, Sausenthaler S, Brockow I, Liese J, Herbarth O, Michael B, Schaaf B, Kramer U, von Berg A, Wichmann HE, Heinrich J, LISA Study Group: Burden of otitis media and pneumonia in children up to 6 years of age: results of the LISA birth cohort. Eur J Pediatr. 2009, 168: 1251-1257.

    Article  PubMed  Google Scholar 

  7. 7.

    Wolleswinkel-van den Bosch JH, Stolk EA, Francois M, Gasparini R, Brosa M: The health care burden and societal impact of acute otitis media in seven European countries: results of an Internet survey. Vaccine. 2010, 28: G39-G52.

    Article  PubMed  Google Scholar 

  8. 8.

    Marx J, Osguthorpe JD, Parsons G: Day care and the incidence of otitis media in young children. Otolaryngol Head Neck Surg . 1995, 112: 695-699.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    Rovers MM, Zielhuis GA, Ingels K, van der Wilt GJ: Day-care and otitis media in young children: a critical overview. Eur J Pediatr. 1999, 158: 1-6.

    CAS  Article  PubMed  Google Scholar 

  10. 10.

    Sun Y, Sundell J: Early daycare attendance increase the risk for respiratory infections and asthma of children. J Asthma. 2011, 48: 790-796.

    Article  PubMed  Google Scholar 

  11. 11.

    Wald ER, Guerra N, Byers C: Frequency and severity of infections in day care: three-year follow-up. J Pediatr. 1991, 118: 509-514.

    CAS  Article  PubMed  Google Scholar 

  12. 12.

    Nafstad P, Hagen JA, Oie L, Magnus P, Jaakkola JJ: Day care centers and respiratory health. Pediatrics. 1999, 103: 753-758.

    CAS  Article  PubMed  Google Scholar 

  13. 13.

    Louhiala PJ, Jaakkola N, Ruotsalainen R, Jaakkola JJ: Form of day care and respiratory infections among Finnish children. Am J Public Health. 1995, 85: 1109-1112.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  14. 14.

    Ball TM, Holberg CJ, Aldous MB, Martinez FD, Wright AL: Influence of attendance at day care on the common cold from birth through 13 years of age. Arch Pediatr Adolesc Med. 2002, 156: 121-126.

    Article  PubMed  Google Scholar 

  15. 15.

    Cote SM, Petitclerc A, Raynault MF, Xu Q, Falissard B, Boivin M, Tremblay RE: Short- and long-term risk of infections as a function of group child care attendance: an 8-year population-based study. Arch Pediatr Adolesc Med. 2010, 164: 1132-1137.

    Article  PubMed  Google Scholar 

  16. 16.

    Zutavern A, Rzehak P, Brockow I, Schaaf B, Bollrath C, von Berg A, Link E, Kraemer U, Borte M, Herbarth O, Wichmann HE, Heinrich J, LISA Study Group: Day care in relation to respiratory-tract and gastrointestinal infections in a German birth cohort study. Acta Paediatr. 2007, 96: 1494-1499.

    Article  PubMed  Google Scholar 

  17. 17.

    PrabhuDas M, Adkins B, Gans H, King C, Levy O, Ramilo O, Siegrist CA: Challenges in infant immunity: implications for responses to infection and vaccines. Nat Immunol. 2011, 12: 189-194.

    CAS  Article  PubMed  Google Scholar 

  18. 18.

    Hjern A, Haglund B, Rasmussen F, Rosen M: Socio-economic differences in daycare arrangements and use of medical care and antibiotics in Swedish preschool children. Acta Paediatr. 2000, 89: 1250-1256.

    CAS  Article  PubMed  Google Scholar 

  19. 19.

    Silverstein M, Sales AE, Koepsell TD: Health care utilization and expenditures associated with child care attendance: a nationally representative sample. Pediatrics. 2003, 111: e371-e375.

    Article  PubMed  Google Scholar 

  20. 20.

    Thrane N, Olesen C, Md JT, Sondergaard C, Schonheyder HC, Sorensen HT: Influence of day care attendance on the use of systemic antibiotics in 0- to 2-year-old children. Pediatrics. 2001, 107: E76.

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Brady MT: Infectious disease in pediatric out-of-home child care. Am J Infect Control. 2005, 33: 276-285.

    Article  PubMed  Google Scholar 

  22. 22.

    Hedin K, Andre M, Hakansson A, Molstad S, Rodhe N, Petersson C: Physician consultation and antibiotic prescription in Swedish infants: population-based comparison of group daycare and home care. Acta Paediatr. 2007, 96: 1059-1063.

    Article  PubMed  Google Scholar 

  23. 23.

    van de Pol AC, van der Gugten AC, van der Ent CK, Schilder AG, Benthem EM, Smit HA, Stellato RK, de Wit NJ, Damoiseaux RA: Referrals for recurrent respiratory tract infections including otitis media in young children. Int J Pediatr Otorhinolaryngol. 2013, 77: 906-910.

    Article  PubMed  Google Scholar 

  24. 24.

    Katier N, Uiterwaal CS, de Jong BM, Kimpen JL, Verheij TJ, Grobbee DE, Brunekreef B, Numans ME, van der Ent CK: The Wheezing Illnesses Study Leidsche Rijn (WHISTLER): rationale and design. Eur J Epidemiol. 2004, 19: 895-903.

    CAS  Article  PubMed  Google Scholar 

  25. 25.

    Verbeke M, Schrans D, Deroose S, De Maeseneer J: The International Classification of Primary Care (ICPC-2): an essential tool in the EPR of the GP. Stud Health Technol Inform. 2006, 124: 809-814.

    PubMed  Google Scholar 

  26. 26.

    Donders AR, van der Heijden GJ, Stijnen T, Moons KG: Review: a gentle introduction to imputation of missing values. J Clin Epidemiol. 2006, 59: 1087-1091.

    Article  PubMed  Google Scholar 

  27. 27.

    Rubin DB: Multiple Imputation for Non-Response in Surveys. 1987, New York: John Wiley

    Google Scholar 

  28. 28.

    National Institute of Child Health and Human Development Early Child Care Research Network: Child care and common communicable illnesses: results from the National Institute of Child Health and Human Development Study of Early Child Care. Arch Pediatr Adolesc Med. 2001, 155: 481-488.

    Article  Google Scholar 

  29. 29.

    Palmeira P, Quinello C, Silveira-Lessa AL, Zago CA, Carneiro-Sampaio M: IgG placental transfer in healthy and pathological pregnancies. Clin Dev Immunol. 2012, 2012: 985646.

    Article  PubMed  Google Scholar 

  30. 30.

    Zinkernagel RM: Maternal antibodies, childhood infections, and autoimmune diseases. N Engl J Med. 2001, 345: 1331-1335.

    CAS  Article  PubMed  Google Scholar 

  31. 31.

    Bradley RH: Child care and common communicable illnesses in children aged 37 to 54 months. Arch Pediatr Adolesc Med. 2003, 157: 196-200.

    Article  PubMed  Google Scholar 

  32. 32.

    Morrissey TW: Multiple child care arrangements and common communicable illnesses in children aged 3 to 54 months. Matern Child Health J. 2013, 17: 1175-1184.

    Article  PubMed  Google Scholar 

  33. 33.

    Oploo van M, Engelen M: Tweemeting trendonderzoek kinderopvang eindrapport (Trend research in childcare). 2006, [http://www.rijksoverheid.nl/documenten-en-publicaties/rapporten/2007/05/14/tweemeting-trendonderzoek-kinderopvang.html]

    Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1741-7015/12/107/prepub

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Acknowledgements

We gratefully thank all parents and children who participated in the WHISTLER project and all co-workers who helped conduct the measurements, fieldwork and data management. Special thanks to R.C. Stellato for her statistical advice. The WHISTLER project was supported by grants from The Netherlands Organization for Health Research and Development (ZonMw), by the University Medical Center Utrecht, and by an unrestricted research grant from GlaxoSmithKline, The Netherlands. The funding agencies did not have any role in study design, data collection, analysis and interpretation of data and the writing of the article and the decision to submit it for publication.

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Affiliations

  1. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, STR 6.131, PO Box 85500, 3508, GA, Utrecht, The Netherlands

    Marieke LA de Hoog, Roderick P Venekamp, Anne Schilder, Roger AMJ Damoiseaux, Cuno SPM Uiterwaal, Henriette A Smit & Patricia Bruijning-Verhagen

  2. Department of Otorhinolaryngology, Division Surgical Specialties, Wilhelmina Children’s Hospital, University Medical Center Utrecht, 3508, AB, Utrecht, The Netherlands

    Roderick P Venekamp & Anne Schilder

  3. Department of Paediatric Pulmonology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, 3508, AB, Utrecht, The Netherlands

    Cornelis K van der Ent

  4. Department Paediatric Immunology, Wilhelmina Children’s Hospital, University Medical Center Utrecht, 3508, AB, Utrecht, The Netherlands

    Elisabeth AM Sanders & Debby Bogaert

  5. evidENT, Ear Institute, University College London, WC1X8EE, London, UK

    Anne Schilder

  6. National Institute for Public Health and the environment (RIVM), 3720, BA, Bilthoven, The Netherlands

    Patricia Bruijning-Verhagen

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  1. Marieke LA de Hoog
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  8. Cuno SPM Uiterwaal
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  9. Henriette A Smit
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  10. Patricia Bruijning-Verhagen
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Corresponding author

Correspondence to Marieke LA de Hoog.

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Competing interests

All authors declare that they have no competing interests, except for AGMS who has received an educational grant from GlaxoSmithKline, The Netherlands for a study of the microbiology of acute tympanostomy tube otorrhoea.

Authors’ contributions

MLAdH, PBV, RPV and HAS developed the concept of the present study as part of the WHISTLER study. CSPMU and CKvdE designed and supervised the WHISTLER study and obtained funding. MLAdH is guarantor. MLAdH performed the statistical analyses and all authors contributed to interpreting the results. MLAdH drafted the manuscript and all authors including AS, DB, EAMS and RAMJD critically revised it for important intellectual content. All authors had full access to all of the data (including statistical reports and tables) in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors read and approved the final manuscript.

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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de Hoog, M.L., Venekamp, R.P., van der Ent, C.K. et al. Impact of early daycare on healthcare resource use related to upper respiratory tract infections during childhood: prospective WHISTLER cohort study. BMC Med 12, 107 (2014). https://doi.org/10.1186/1741-7015-12-107

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Keywords

  • Upper respiratory infection
  • Otitis media
  • Daycare
  • Healthcare utilization
  • Paediatric
  • Cohort study

BMC Medicine

ISSN: 1741-7015

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