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Cycling and bone health: a systematic review

Abstract

Background

Cycling is considered to be a highly beneficial sport for significantly enhancing cardiovascular fitness in individuals, yet studies show little or no corresponding improvements in bone mass.

Methods

A scientific literature search on studies discussing bone mass and bone metabolism in cyclists was performed to collect all relevant published material up to April 2012. Descriptive, cross-sectional, longitudinal and interventional studies were all reviewed. Inclusion criteria were met by 31 studies.

Results

Heterogeneous studies in terms of gender, age, data source, group of comparison, cycling level or modality practiced among others factors showed minor but important differences in results. Despite some controversial results, it has been observed that adult road cyclists participating in regular training have low bone mineral density in key regions (for example, lumbar spine). Conversely, other types of cycling (such as mountain biking), or combination with other sports could reduce this unsafe effect. These results cannot yet be explained by differences in dietary patterns or endocrine factors.

Conclusions

From our comprehensive survey of the current available literature it can be concluded that road cycling does not appear to confer any significant osteogenic benefit. The cause of this may be related to spending long hours in a weight-supported position on the bike in combination with the necessary enforced recovery time that involves a large amount of time sitting or lying supine, especially at the competitive level.

Peer Review reports

Background

Participation in cycling has been shown to confer several health benefits in terms of improvements in cardiovascular fitness, reductions in mortality, and reduced cardiovascular risk factors as well as a reduced risk of cancer [1]. From a public health point of view, cycling is a widely practiced non-weight-bearing sport around the world, especially in Europe [2] and the bicycle is also used as a vehicle by millions of people in many different countries, accounting for an important part of their daily physical activity. However, as a non-weight-bearing activity, cycling practice is frequently associated with lower levels of bone mass [3]; in fact, two-thirds of the professional and master adult road cyclists could be classified as osteopenic [4].

Osteoporosis generally affects older populations and is characterized by 'low bone density and microarchitectural deterioration of bone tissue with a consequent increase in bone fragility and susceptibility to fracture' [5]. Low levels of bone mineral density (BMD) during earlier stages of life may contribute to the development of osteoporosis later on in life [6].

Many aspects of bones account for bone strength and resistance against fracture: bone mineral content (BMC), BMD, bone size, structure and microarchitecture, among others [7]. Genetic predisposition, dietary patterns, endocrine and environmental factors also play determining roles in bone health and maintenance throughout life [8, 9]. Among the many environmental factors, physical activity and participation in sport promote health benefits in bone mass across all ages among different populations [1014].

With regard to endocrine factors, the net product of bone formation and bone resorption, namely bone turnover, may be estimated by biomarkers involved with bone metabolism such as bone alkaline phosphatase (BAP), osteocalcin (OC) or C-terminal collagen crosslinks (CTX), which are among the most commonly studied in sport sciences [15].

This review aims to summarize the current available literature concerning bone mass and bone metabolism in cyclists, to observe whether the findings of the collective research are commensurate with the general idea that cycling has a deleterious effect on bone mass.

Methods

Search strategy

Journal articles were identified from MedLine (1965 to April 2012), EMBASE, Web of Science and SportDiscus. The search strategy used to identify the articles was: '((bone) or (bmc) or (bmd) or (osteoporosis)) AND ((cyclist) or (cyclists) or (cycling sport) or (triathlon) or (triathletes))' to identify the articles on the topic of this review. Additional articles were added after reviewing the references of the previous researches. This produced a total of 214 citations. MOOSE [16] and PRISMA [17] guidelines for the reporting of systematic reviews were followed for observational and interventional studies respectively.

Inclusion criteria

The inclusion criteria for this review were: (a) bone mass or bone metabolism markers, and not fractures or any other topic, had to be the main subject of each study; (b) the studies had to include cyclists or triathletes and not only athletes or sportspeople; (c) the type of studies to be included had to be original research manuscripts (cross-sectional, interventional, follow-up or retrospective studies); reviews or published abstracts were not included; (d) only papers written entirely in English were included in this review.

Exclusion criteria

The inclusion criteria were applied to the 215 citations by 2 authors independently; if disagreement occurred, all authors reviewed the data until consensus was achieved. Of the total of 215 citations, 31 references fulfilled the inclusion criteria (Figure 1). A total of 184 citations were excluded for the following reasons: 145 did not include bone mass or bone metabolism markers as their main topic, 17 were not original articles and 22 were not written in English.

Figure 1
figure 1

Flow chart diagram of the study selection process.

Data extraction

Each study was independently evaluated. General information about the article title and type of the study, author(s), characteristics of the participants (age, sex, and exercise), comparison group(s) (if available), data source and results were also extracted.

Table 1 summarizes all the studies concerning bone mass and cycling participation included in this review. Different age stages (adolescents, adults, older adults), genders, competitive levels, years of practice and groups of comparison (that is, sedentary controls, runners, and so on) were included in this review, making the comparison between studies rather difficult; however, efforts have been made to summarize and clarify the current knowledge on this topic despite discrepancies in these variables.

Table 1 Studies concerning bone mass, bone metabolism and cycling participation

Strength of evidence

The guidelines of Hadorn et al. [18] were used to rate the quality of evidence of every study and the qualifications were also stated in Table 1. This method includes three levels of quality, as outlined below.

Level A: well conducted randomized control trials (RCT) with 100 participants or more (including multicenter and meta-analyses); well conducted RCT with fewer than 100 participants (one or more institutions and meta-analysis; well conducted study).

Level B: well conducted case-control study, poorly controlled or uncontrolled (including RCT with one or more major or three or more minor methodological flaws), observations studies with high potential for bias (case series with comparison to historical controls), case series or case reports, conflicting evidence with more support.

Level C: expert opinion

Additional file 1 evaluates the quality and strength of evidence of each study, providing a final score based on several objective questions.

Results and discussion

Cycling and bone mass

BMC and BMD

The vast majority of the reviewed studies used dual energy X-ray absorptiometry (DXA) devices for their investigations; in fact only 2 out of 31 studies did not include any DXA measurement in their results.

Heinonen et al., in 1993, first described and compared bone mass of young adult female cyclists with other different sportswomen and controls. They found that cyclists had lower BMD at all body sites than weightlifters, but no differences were observed with other sports or with controls [19]. Subsequent studies reinforced the finding that no differences in BMC or BMD were observed between cyclists and controls, in both males and females, either in adolescents [20, 21] or adults [2226], or compared with other competitive sportspeople [27]. Furthermore, Warner et al. found that adult cross-country cyclists had higher BMD than road cyclists and controls [28].

Despite the above-mentioned studies, the available literature largely describes lower levels of BMD and BMC for different bodily regions in cyclist participants almost at all ages and in both genders. The lumbar spine has probably been the most studied region in this regard, with fairly conclusive results that lower BMD can be observed in cyclists compared with controls [2935], practitioners of other sports [19, 3537] or reference values [4, 38, 39]. Moreover, the pelvic and hip regions, as key areas for osteoporotic fractures, and the whole body have been studied with concerning results. Lower values of pelvis, hip and femoral neck BMD in male cyclists were found compared with controls at all ages [29, 32, 34, 40], with higher differences in the older cyclists.

Longitudinal studies may help to understand whether the observed low bone mass is acquired during a period of time and then maintained, or whether in fact, cycling training has a harmful effect on this tissue. In this regard, Beshgetoor et al. showed that 18 months of training in competitive female cyclist resulted in maintenance of the femur BMD, but a declination in lumbar spine BMD [41]. More recently, Nichols et al. showed that not only were more master cyclists classified as osteoporotic compared to age-matched and weight-matched non-athletes, but also the percentage of osteoporotic cyclists increased significantly over a 7-year period [42]. Also, Barry et al. studied two groups of adult cyclists supplementing them with high and low calcium intakes; they observed that the declination in hip BMD was the same in both groups [43].

Most of the studies reviewed showed that cycling does not appear to have a beneficial effect on BMD, especially at the lumbar spine, with some cases showing detrimental effects compared to other osteogenic sports. Very few studies have been conducted on child or adolescent cyclists, but the available manuscripts allow us to hypothesize that the differences in BMD become greater with age. Also, longitudinal studies point to this by showing declinations even with calcium supplementation.

Bone geometry and structure

The DXA device creates a two-dimensional image of the bone that does not provide information about volumetric BMD (vBMD) and does not differentiate cortical and trabecular bone. Osteoporosis is highly related to BMD; however, strength indexes and, therefore, the risk of fracture have a close relationship with structural aspects of bones such as cortical thickness and bone cross-sectional area, among others [44]. Peripheral quantitative computed tomography (pQCT) and magnetic resonance imaging (MRI) are alternative bone densitometry techniques that allow separate evaluation of those bone regions. These techniques are also able to assess actual vBMD at peripheral sites as well as estimating geometric properties of bone that are related to bone strength, going beyond the scope of current DXA determinations.

Two studies of this nature performed on cyclists were identified. Using MRI, Duncan et al. found that female adolescent cyclists had lower bone cross-sectional area, moment of inertia and mid-femur vBMD than their runner counterparts, while no differences were observed with controls [45]. Wilks et al. compared pQCT values of male distance-trained and sprint-trained master cyclists (aged 30 to 82 years) with age-matched sedentary controls, finding that distance-trained athletes presented higher values at the tibial sites, and sprinters at both tibial and radial sites, than controls [46].

Due to the abundance of factors contributing to bone strength, it seems that, regardless of the lower values of BMD observed in studies with DXA, cycling does not negatively affect the geometry and/or structure of the bones measured with pQCT. What appears to be clear is that more in-depth studies are required in order to corroborate these findings, and to evaluate possible changes over different periods of time and life stages in these variables.

Endocrine factors related with bone mass

Bone turnover markers

Bone turnover markers related to bone formation, such as BAP or OC and also CTX related to bone resorption, have been barely investigated in cyclist populations.

Rector et al. showed no differences between adult cyclists and runners in bone metabolism markers [37], and Guillaume et al. reinforced that by showing these markers in normal ranges in a group of young cyclists [38]. However, Maïmoun et al. [24] studied three groups of adult athletes (cyclists, triathletes and swimmers), compared to controls, and showed lower BAP in cyclists compared to any other group. No differences were found for OC or CTX among the three groups of athletes.

Hormonal profile

Smathers et al. and Warner et al. showed no differences in testosterone levels between adult male cyclists and controls [28, 33]; however, Maïmoun et al. showed lower testosterone levels in adult male cyclists and triathletes compared with controls [25]. Two different interventional studies focused on the effects of cycling on parathyroid hormone concluded that it increased after 2 h of cycling [47], and that calcium supplementation attenuated its disruption [39].

Inconclusive results can be obtained from the few heterogeneous studies available on neuroendocrine factors affecting bone mass in cyclists; nevertheless, it may be stated that the hormonal status seems to be within normal ranges in this specific population and that the formation of bone appears to be somewhat reduced in a group of adult cyclists with a long history of training (over 9 years on average). For that reason, as bone metabolism does not seem to be the main factor regarding the general low mineral accumulation in cyclists' bones, other mechanical factors such as the lack of osteogenic impacts might also have an influence.

Factors affecting bone mass

Diet and calcium intake

Some authors found that cyclists take in a higher amount of calcium than controls [29, 33], but as it is believed that cyclists have a higher energy intake than controls due to higher energy expenditure [48], total energy intake is a factor that must be taken into account. However, no associations were found between calcium intake and BMD for adults and young adult cyclists [19, 20, 24, 41]. In addition, Barry et al. found that BMD was decreased in a group of cyclists independently of their high or low calcium intake over a 1-year season [43], and that acute calcium supplementation decreased the parathyroid hormone disruption after cycling [39]. Werner et al. did not find differences in calcium or vitamin D intake between road and mountain cyclists and controls [28]. Brown et al. showed that a fat-rich diet yielded higher increments in BMD in cyclists than other carbohydrate-rich diets without variation in fat or lean masses over a period of 12 weeks [49].

Studies appear to indicate that there are no observable effects in consuming higher amounts of calcium to reduce the supposed detrimental effect of cycling on bone mass. Furthermore, from these data it is difficult to define whether or not cyclists do in fact require any additional calcium supplements. Further studies are necessary in order to confirm previous results and to elucidate whether diet may be a more important factor for cyclists during years of growth in comparison to athletes in other disciplines.

Age

As previously stated, adult cyclists showed lower BMD at several sites of the body (mainly then lumbar spine) compared to controls or practitioners of other sports; however, few of the included studies incorporated adolescents within their samples. These studies showed similar results in that, under the age of 18, the differences in BMD between cyclists and controls were not observable [40, 45, 50], as observed in adolescent runners [21]. In addition, Maïmoun et al. [24] stated that age, among other factors, could influence BMD in people that practice sports including cycling. Though using a different measurement technique (that is, pQCT) Wilks et al. [46] suggested that cycling activity could prevent bone strength losses in older people.

The positive effect that general sport practice has on bone is well known [10], and that maximizing bone mineral mass during growth may help to prevent fractures during adolescence and at an older age [51]. We have observed that cycling during the early years of life does not negatively affect the bones, yet it does not exert as much of a positive influence as other sports clearly do. Consequently, the age factor for cycling must be taken into account.

Gender

It is widely known that women have lower bone mass than men throughout life and that are at higher risk of suffering from osteoporosis; therefore it is important to ascertain whether gender has any influential effect on the accumulation of bone mass in cyclists.

The studies included in this review incorporating only women within their samples showed similar results in bone mass to studies on men or both genders when they are compared with other sportswomen or controls [19, 21, 41, 45].

Therefore, because females are more likely to become osteoporotic, pre-participation examinations (that is, DXA scans) should be conducted in adult female cyclists training at a high level.

Training level and type of cycling practice

Few studies have been performed in low-level cyclist populations; Morel et al. studied amateur sportsmen without finding differences in bone mass between cycling and other sports [27]. In general, studies included in this review had samples of adult cyclists with a high level of training; however, some of them were performed in amateur or adolescent cyclists, showing that in fact the level of practice and/or the years of training might increase the risk of low bone mass.

The two studies by Duncan et al. showed no differences in BMD between cyclists and controls, but it is worth noting the sample of adolescents that they used [21, 45]. The study by Wilks et al., which is discussed below, showed greater bone strength surrogates in cyclists compared to controls in a sample of adults and older adults with a high level of cycling practice during their adolescence and adulthood.

Cycling is a widespread activity that involves different disciplines (that is, mountain biking, road cyclists, BMX, and so on) and, in combination with swimming and/or running, forms part of triathlon or duathlon events.

What has been observed regarding combination of cycling with running is that this practice counteracts the effect that cycling has on bone mass by an increased total body BMD compared with controls not observed in the cycling alone group [31]. In triathletes Maïmoun et al. demonstrated a similar behavior to cyclists in terms of testosterone deficiency without differences in BMD [25]. Concerning different types of cycling, as expected, Wilks et al. demonstrated that sprint-trained cyclists had stronger bones than those training for longer distances [46], and Warner et al. showed that cross-country cycling practitioners acquire higher BMD than road cyclists [28].

From a review of the current available literature described herein it can be concluded that road cycling at a competitive level might be more detrimental for bone health than other forms of cycling such as mountain biking in a recreational way. However, it should be mentioned that an upper threshold of training level may exist which protects bones from fractures, perhaps by improving their geometry and/or structure. Moreover, and especially where elite cyclists are concerned, it is also possible that resistance training also provides significant positive influences on bone mass. It is noteworthy that duathlon and triathlon do not have the same harmful effect that cycling alone seems to have on bone mass.

Limitations

Different sources of bias inherent to systematic reviews should be addressed. First, we excluded non-English publications; thus a possible language bias is inherent.

Second, the studies included in our systematic review were too heterogeneous to perform a meta-analysis. The lack of this type of analysis makes difficult to reach strong conclusions. However, Table 1 contains quantitative information on each individual study.

Third, we classified articles into categories based on their assessment method, and afterwards we discussed some factors affecting bone mass. We believe that the results are more easily read and understood with this categorization. Although we systematically assessed articles before assigning them into categories, categorization is not a closed issue.

Conclusions

To date, a considerable number of studies have reported on the possible harmful effect of cycling on bone health; however there are still some pending issues that need to be addressed. In general, cycling participation seems to have a neutral effect on bone health in terms of low BMD at several sites of the body; however, some factors need to be taken into account regarding this assumption. Road endurance cycling at a professional level could be more detrimental to bone mass than performing this activity recreationally, or worse than performing other disciplines such as cross-country cycling or combinations of cycling with running [28]. In addition, there is some evidence that the practice of this sport during adolescence and adulthood could help to maintain a better bone geometry and strength later in life [46]. Few studies described bone mass in young cyclist populations, however, it can be hypothesized that the differences in BMD between cyclists and controls or other sport practitioners become greater from 17 years of age onwards [40]. It is important to note that, contrary to other sports, there have been no reports of any positive effects of cycling on bone mass during adolescence.

Factors affecting bone mass such as calcium intake and hormonal profile were found to be within the regular range in cyclists [28, 29, 33]; allowing us to believe that the lack of impact might be one of the main reasons for the low bone mass acquisition in this population. It is also thought that professional cyclists spend several hours daily resting after training time, and sedentary time has been associated with low bone mass [52]; this factor should be taken into account as it may also partially explain the low BMD observed in these athletes.

In general it can be concluded that individuals who practice non-weight-bearing sports such as cycling are more likely to develop osteopenia or osteoporosis [53]; and the high incidence of falls while cycling makes this fact even more relevant for this population [42, 54].

In conclusion, road cycling at a competitive level is less effective at improving bone mass when compared with weight-bearing sports. Based on the available evidence, in general, cycling as a sole form of exercise is not recommended for people who are at risk of developing osteoporosis, unless it is complemented with some kind of osteogenic training.

Practical recommendations and future research

The likelihood of a cyclist to develop osteopenia or osteoporosis at clinical sites due to low levels of BMD must be taken into account by health organizations, federations, trainers and athletes. In accordance with Maïmoun et al. there may exist a threshold, since BMD measurements are inadequate to detect slight and acute changes in bone metabolism [55], and therefore further research on bone metabolism, bone strength and structure in cyclists at different ages, based on previous studies [46], could help to better understand the actual bone weakness in cyclists. Also, longitudinal studies aimed at identifying whether the key periods of bone mass acquisition are affected by cycling are needed.

Secondly, Beatty et al. [56] and Nichols et al. [42] proposed to incorporate impact activities in training programs for cyclists, as it has been demonstrated that plyometric jumps increase bone mass in different populations [14, 57]. Generally, amateur cyclists are unwilling to include resistance and/or plyometric exercise in their routine throughout the season despite there being no scientific evidence of performance impairment. Therefore, studies on the effects of different training implementations will define whether these interventions are enough to counteract the effect of cycling.

References

  1. Oja P, Titze S, Bauman A, de Geus B, Krenn P, Reger-Nash B, Kohlberger T: Health benefits of cycling: a systematic review. Scand J Med Sci Sports. 2011, 21: 496-509. 10.1111/j.1600-0838.2011.01299.x.

    Article  CAS  PubMed  Google Scholar 

  2. García Ferrando M: Posmodernidad y deporte: entre la individualización y la masificación. Book Posmodernidad y Deporte: Entre la Individualización y la Masificación. 2006, Madrid, Spain: Consejo Superior de Deportes y Centro de Investigaciones Sociológicas

    Google Scholar 

  3. Nagle KB, Brooks MA: A systematic review of bone health in cyclists. Sports Health. 2011, 3: 235-243. 10.1177/1941738111398857.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Medelli J, Lounana J, Menuet JJ, Shabani M, Cordero-MacIntyre Z: Is osteopenia a health risk in professional cyclists?. J Clin Densitom. 2009, 12: 28-34. 10.1016/j.jocd.2008.07.057.

    Article  PubMed  Google Scholar 

  5. Consensus development conference: Consensus development conference: diagnosis, prophylaxis, and treatment of osteoporosis. Am J Med. 1993, 94: 646-650.

    Article  Google Scholar 

  6. Rizzoli R, Bianchi ML, Garabedian M, McKay HA, Moreno LA: Maximizing bone mineral mass gain during growth for the prevention of fractures in the adolescents and the elderly. Bone. 2010, 46: 294-305. 10.1016/j.bone.2009.10.005.

    Article  PubMed  Google Scholar 

  7. Seeman E: An exercise in geometry. J Bone Miner Res. 2002, 17: 373-380. 10.1359/jbmr.2002.17.3.373.

    Article  PubMed  Google Scholar 

  8. Ralston SH, Uitterlinden AG: Genetics of osteoporosis. Endocr Rev. 2010, 31: 629-662. 10.1210/er.2009-0044.

    Article  CAS  PubMed  Google Scholar 

  9. Smith RW: Dietary and hormonal factors in bone loss. Fed Proc. 1967, 26: 1737-1746.

    PubMed  Google Scholar 

  10. Vicente-Rodriguez G: How does exercise affect bone development during growth?. Sports Med. 2006, 36: 561-569. 10.2165/00007256-200636070-00002.

    Article  PubMed  Google Scholar 

  11. Vicente-Rodriguez G, Ara I, Perez-Gomez J, Serrano-Sanchez JA, Dorado C, Calbet JA: High femoral bone mineral density accretion in prepubertal soccer players. Med Sci Sports Exerc. 2004, 36: 1789-1795. 10.1249/01.MSS.0000142311.75866.D7.

    Article  PubMed  Google Scholar 

  12. Vicente-Rodriguez G, Jimenez-Ramirez J, Ara I, Serrano-Sanchez JA, Dorado C, Calbet JA: Enhanced bone mass and physical fitness in prepubescent footballers. Bone. 2003, 33: 853-859. 10.1016/j.bone.2003.08.003.

    Article  CAS  PubMed  Google Scholar 

  13. Gomez-Cabello A, Ara I, Gonzalez-Aguero A, Casajus JA, Vicente-Rodriguez G: Effects of training on bone mass in older adults: a systematic review. Sports Med. 2012, 42: 301-325. 10.2165/11597670-000000000-00000.

    Article  CAS  PubMed  Google Scholar 

  14. González-Agüero A, Vicente-Rodriguez G, Gómez-Cabello A, Ara I, Moreno LA, Casajús JA: A 21-week bone deposition promoting exercise programme increases bone mass in youths with Down syndrome. Dev Med Child Neurol. 2012, 54: 552-556. 10.1111/j.1469-8749.2012.04262.x.

    Article  PubMed  Google Scholar 

  15. Banfi G, Colombini A, Lombardi G, Lubkowska A: Metabolic markers in sports medicine. Adv Clin Chem. 2012, 56: 1-54.

    Article  CAS  PubMed  Google Scholar 

  16. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, Moher D, Becker BJ, Sipe TA, Thacker SB: Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000, 283: 2008-2012. 10.1001/jama.283.15.2008.

    Article  CAS  PubMed  Google Scholar 

  17. Moher D, Liberati A, Tetzlaff J, Altman DG: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009, 6: e1000097-10.1371/journal.pmed.1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Hadorn DC, Baker D, Hodges JS, Hicks N: Rating the quality of evidence for clinical practice guidelines. J Clin Epidemiol. 1996, 49: 749-754. 10.1016/0895-4356(96)00019-4.

    Article  CAS  PubMed  Google Scholar 

  19. Heinonen A, Oja P, Kannus P, Sievanen H, Manttari A, Vuori I: Bone mineral density of female athletes in different sports. Bone Miner. 1993, 23: 1-14. 10.1016/S0169-6009(08)80086-4.

    Article  CAS  PubMed  Google Scholar 

  20. Rico H, Revilla M, Hernandez ER, Gomez-Castresana F, Villa LF: Bone mineral content and body composition in postpubertal cyclist boys. Bone. 1993, 14: 93-95. 10.1016/8756-3282(93)90233-Z.

    Article  CAS  PubMed  Google Scholar 

  21. Duncan CS, Blimkie CJ, Cowell CT, Burke ST, Briody JN, Howman-Giles R: Bone mineral density in adolescent female athletes: relationship to exercise type and muscle strength. Med Sci Sports Exerc. 2002, 34: 286-294. 10.1097/00005768-200202000-00017.

    Article  PubMed  Google Scholar 

  22. Penteado VS, Castro CH, Pinheiro Mde M, Santana M, Bertolino S, de Mello MT, Szejnfeld VL: Diet, body composition, and bone mass in well-trained cyclists. J Clin Densitom. 2010, 13: 43-50. 10.1016/j.jocd.2009.09.002.

    Article  PubMed  Google Scholar 

  23. Nevill A, Holder R, Stewart A: Do sporting activities convey benefits to bone mass throughout the skeleton?. J Sports Sci. 2004, 22: 645-650. 10.1080/02640410310001655769.

    Article  PubMed  Google Scholar 

  24. Maimoun L, Mariano-Goulart D, Couret I, Manetta J, Peruchon E, Micallef JP, Verdier R, Rossi M, Leroux JL: Effects of physical activities that induce moderate external loading on bone metabolism in male athletes. J Sports Sci. 2004, 22: 875-883. 10.1080/02640410410001716698.

    Article  CAS  PubMed  Google Scholar 

  25. Maimoun L, Lumbroso S, Manetta J, Paris F, Leroux JL, Sultan C: Testosterone is significantly reduced in endurance athletes without impact on bone mineral density. Horm Res. 2003, 59: 285-292. 10.1159/000070627.

    Article  CAS  PubMed  Google Scholar 

  26. Nikander R, Sievanen H, Heinonen A, Kannus P: Femoral neck structure in adult female athletes subjected to different loading modalities. J Bone Miner Res. 2005, 20: 520-528.

    Article  PubMed  Google Scholar 

  27. Morel J, Combe B, Francisco J, Bernard J: Bone mineral density of 704 amateur sportsmen involved in different physical activities. Osteoporos Int. 2001, 12: 152-157. 10.1007/s001980170148.

    Article  CAS  PubMed  Google Scholar 

  28. Warner SE, Shaw JM, Dalsky GP: Bone mineral density of competitive male mountain and road cyclists. Bone. 2002, 30: 281-286. 10.1016/S8756-3282(01)00704-9.

    Article  CAS  PubMed  Google Scholar 

  29. Medelli J, Shabani M, Lounana J, Fardellone P, Campion F: Low bone mineral density and calcium intake in elite cyclists. J Sports Med Phys Fitness. 2009, 49: 44-53.

    CAS  PubMed  Google Scholar 

  30. Sabo D, Bernd L, Pfeil J, Reiter A: Bone quality in the lumbar spine in high-performance athletes. Eur Spine J. 1996, 5: 258-263. 10.1007/BF00301329.

    Article  CAS  PubMed  Google Scholar 

  31. Stewart AD, Hannan J: Total and regional bone density in male runners, cyclists, and controls. Med Sci Sports Exerc. 2000, 32: 1373-1377. 10.1097/00005768-200008000-00003.

    Article  CAS  PubMed  Google Scholar 

  32. Nichols JF, Palmer JE, Levy SS: Low bone mineral density in highly trained male master cyclists. Osteoporos Int. 2003, 14: 644-649. 10.1007/s00198-003-1418-z.

    Article  PubMed  Google Scholar 

  33. Smathers AM, Bemben MG, Bemben DA: Bone density comparisons in male competitive road cyclists and untrained controls. Med Sci Sports Exerc. 2009, 41: 290-296.

    Article  PubMed  Google Scholar 

  34. Campion F, Nevill AM, Karlsson MK, Lounana J, Shabani M, Fardellone P, Medelli J: Bone status in professional cyclists. Int J Sports Med. 2010, 31: 511-515. 10.1055/s-0029-1243616.

    Article  CAS  PubMed  Google Scholar 

  35. Hinrichs T, Chae E, Lehmann R, Allolio B, Platen P: Bone mineral density in athletes of different disciplines: a cross-sectional study. Open Sports Sci J. 2010, 3: 129-133. 10.2174/1875399X01003010129.

    Article  Google Scholar 

  36. Fiore CE, Dieli M, Vintaloro G, Gibilaro M, Giacone G, Cottini E: Body composition and bone mineral density in competitive athletes in different sports. Int J Tissue React. 1996, 18: 121-124.

    CAS  PubMed  Google Scholar 

  37. Rector RS, Rogers R, Ruebel M, Hinton PS: Participation in road cycling vs running is associated with lower bone mineral density in men. Metabolism. 2008, 57: 226-232. 10.1016/j.metabol.2007.09.005.

    Article  CAS  PubMed  Google Scholar 

  38. Guillaume G, Chappard D, Audran M: Evaluation of the bone status in high-level cyclists. J Clin Densitom. 2012, 15: 103-107. 10.1016/j.jocd.2011.08.001.

    Article  PubMed  Google Scholar 

  39. Barry DW, Hansen KC, van Pelt RE, Witten M, Wolfe P, Kohrt WM: Acute calcium ingestion attenuates exercise-induced disruption of calcium homeostasis. Med Sci Sports Exerc. 2011, 43: 617-623.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Olmedillas H, Gonzalez-Aguero A, Moreno LA, Casajus JA, Vicente-Rodriguez G: Bone related health status in adolescent cyclists. PLoS One. 2011, 6: e24841-10.1371/journal.pone.0024841.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Beshgetoor D, Nichols JF, Rego I: Effect of training mode and calcium intake on bone mineral density in female master cyclist, runners, and non-athletes. Int J Sport Nutr Exerc Metab. 2000, 10: 290-301.

    Article  CAS  PubMed  Google Scholar 

  42. Nichols JF, Rauh MJ: Longitudinal changes in bone mineral density in male master cyclists and nonathletes. J Strength Cond Res. 2012, 25: 727-734.

    Article  Google Scholar 

  43. Barry DW, Kohrt WM: BMD decreases over the course of a year in competitive male cyclists. J Bone Miner Res. 2008, 23: 484-491.

    Article  CAS  PubMed  Google Scholar 

  44. Kontulainen SA, Johnston JD, Liu D, Leung C, Oxland TR, McKay HA: Strength indices from pQCT imaging predict up to 85% of variance in bone failure properties at tibial epiphysis and diaphysis. J Musculoskelet Neuronal Interact. 2008, 8: 401-409.

    CAS  PubMed  Google Scholar 

  45. Duncan CS, Blimkie CJ, Kemp A, Higgs W, Cowell CT, Woodhead H, Briody JN, Howman-Giles R: Mid-femur geometry and biomechanical properties in 15- to 18-yr-old female athletes. Med Sci Sports Exerc. 2002, 34: 673-681. 10.1097/00005768-200204000-00018.

    Article  PubMed  Google Scholar 

  46. Wilks DC, Gilliver SF, Rittweger J: Forearm and tibial bone measures of distance- and sprint-trained master cyclists. Med Sci Sports Exerc. 2009, 41: 566-573. 10.1249/MSS.0b013e31818a0ec8.

    Article  PubMed  Google Scholar 

  47. Barry DW, Kohrt WM: Acute effects of 2 hours of moderate-intensity cycling on serum parathyroid hormone and calcium. Calcif Tissue Int. 2007, 80: 359-365. 10.1007/s00223-007-9028-y.

    Article  CAS  PubMed  Google Scholar 

  48. Burke LM: Nutritional practices of male and female endurance cyclists. Sports Med. 2001, 31: 521-532. 10.2165/00007256-200131070-00007.

    Article  CAS  PubMed  Google Scholar 

  49. Brown RC, Cox CM, Goulding A: High-carbohydrate versus high-fat diets: effect on body composition in trained cyclists. Med Sci Sports Exerc. 2000, 32: 690-694. 10.1097/00005768-200003000-00021.

    Article  CAS  PubMed  Google Scholar 

  50. Rico H, Revilla M, Villa LF, Gomez-Castresana F, Alvarez del Buergo M: Body composition in postpubertal boy cyclists. J Sports Med Phys Fitness. 1993, 33: 278-281.

    CAS  PubMed  Google Scholar 

  51. Rizzoli R, Bianchi ML, Garabedian M, McKay HA, Moreno LA: Maximizing bone mineral mass gain during growth for the prevention of fractures in the adolescents and the elderly. Bone. 2010, 46: 294-305. 10.1016/j.bone.2009.10.005.

    Article  PubMed  Google Scholar 

  52. Vicente-Rodriguez G, Ortega FB, Rey-Lopez JP, Espana-Romero V, Blay VA, Blay G, Martin-Matillas M, Moreno LA: Extracurricular physical activity participation modifies the association between high TV watching and low bone mass. Bone. 2009, 45: 925-930. 10.1016/j.bone.2009.07.084.

    Article  CAS  PubMed  Google Scholar 

  53. Tenforde AS, Fredericson M: Influence of sports participation on bone health in the young athlete: a review of the literature. Pm R. 2011, 3: 861-867. 10.1016/j.pmrj.2011.05.019.

    Article  PubMed  Google Scholar 

  54. Finch C, Valuri G, Ozanne-Smith J: Sport and active recreation injuries in Australia: evidence from emergency department presentations. Br J Sports Med. 1998, 32: 220-225. 10.1136/bjsm.32.3.220.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Maimoun L, Sultan C: Effects of physical activity on bone remodeling. Metabolism. 2011, 60: 373-388. 10.1016/j.metabol.2010.03.001.

    Article  CAS  PubMed  Google Scholar 

  56. Beatty T, Webner D, Collina SJ: Bone density in competitive cyclists. Curr Sports Med Rep. 2010, 9: 352-355.

    Article  PubMed  Google Scholar 

  57. Witzke KA, Snow CM: Effects of plyometric jump training on bone mass in adolescent girls. Med Sci Sports Exerc. 2000, 32: 1051-1057. 10.1097/00005768-200006000-00003.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

This review was funded by Ministerio de Ciencia e Innovacion, Instituto de Salud Carlos III (DPS2008-06999) and Presidencia del Gobierno de España, Consejo Superior de Deportes (21/UPB20/10). Special thanks are given to Scott G Mitchell from the Institute of Nanoscience of Aragon (INA) for his work in reviewing the English style and grammar.

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Correspondence to Alejandro González-Agüero.

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Hugo Olmedillas, Alejandro González-Agüero contributed equally to this work.

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Additional file 1: Quality assessment tool of the included studies. Additional file 1 provides measurement regarding the quality and strength of the evidence of each study included in the review. (DOCX 34 KB)

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Olmedillas, H., González-Agüero, A., Moreno, L.A. et al. Cycling and bone health: a systematic review. BMC Med 10, 168 (2012). https://doi.org/10.1186/1741-7015-10-168

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