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Sport and Triad Risk Factors Influence Bone Mineral Density in Collegiate Athletes
Abstract
Purpose: Athletes in weight-bearing sports may benefit from higher bone mineral density (BMD). However, some athletes are at risk for impaired BMD with female athlete triad (Triad). The purpose of this study is to understand the influence of sports participation and Triad on BMD. We hypothesize that athletes in high-impact and multidirectional loading sports will have highest BMD, whereas nonimpact and low-impact sports will have lowest BMD. Triad risk factors are expected to reduce BMD values independent of sports participation. Methods: Two hundred thirty-nine female athletes participating in 16 collegiate sports completed dual-energy x-ray absorptiometry (DXA) scans to measure BMD z -scores of the lumbar spine (LS) and total body (TB). Height and weight were measured to calculate body mass index (BMI). Triad risk assessment variables were obtained from preparticipation examination. Mean BMD z -scores were compared between sports and by sport category (high-impact, multidirectional, low-impact, and nonimpact). Multivariable regression analyses were performed to identify differences of BMD z -scores accounting for Triad and body size/composition. Results: Athlete populations with lowest average BMD z -scores included synchronized swimming (LS, −0.34; TB, 0.21) swimming/diving (LS, 0.34; TB, −0.06), crew/rowing (LS, 0.27; TB, 0.62), and cross-country (LS, 0.29; TB, 0.91). Highest values were in gymnastics (LS, 1.96; TB, 1.37), volleyball (LS, 1.90; TB, 1.74), basketball (LS, 1.73; TB, 1.99), and softball (LS, 1.68; TB, 1.78). All Triad risk factors were associated with lower BMD z -scores in univariable analyses; only low BMI and oligomenorrhea/amenorrhea were associated in multivariable analyses (all P < 0.05). Accounting for Triad risk factors and body size/composition, high-impact sports were associated with higher LS and TB BMD z -scores and nonimpact sports with lower LS and TB BMD z -scores compared to low-impact sport (all P < 0.05). Conclusions: Both sport type and Triad risk factors influence BMD. Athletes in low-impact and nonimpact sports and athletes with low BMI and oligomenorrhea/amenorrhea are at highest risk for reduced BMD.
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“It has been suggested that an inadequate food intake combined with intense physical training in female elite gymnasts can, in combination with other factors such as the genetic potential or the hormonal environment, negatively influence the normal pattern of pubertal development (menstrual disorders, amenorrhea), as well as induce a delay in bone growth [18].”
From Nutritional Status and Implementation of a Nutritional Education Program in Young Female Artistic Gymnasts (2021) · cites this paper as [18]
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“In agreement with previous studies conducted on elite gymnasts [18,54], the vitamin D intake of participants in the present study was lower than recommended.”
From Nutritional Status and Implementation of a Nutritional Education Program in Young Female Artistic Gymnasts (2021) · cites this paper as [18]
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Mountjoy, M., Sundgot-Borgen, J., Burke, L., Carter, S., Constantini, N., Lebrun, C., Meyer, N., Sherman, R., Steffen, K., Budgett, R., et al. (2014) · British Journal of Sports Medicine · doi:10.1136/bjsports-2014-093502 · Cited by 1,469
Research works printed but not linked: 23
- 2011, Influence of sports participation on bone health in the young athlete: a review of the literature, PM R, 3, 861, 10.1016/j.pmrj.2011.05.019 · DOI · Paper page
- 1995, Peak bone mass in young women, J Bone Miner Res, 10, 711, 10.1002/jbmr.5650100507 · DOI · Paper page
- 2000, Using bone’s adaptation ability to lower the incidence of stress fractures, Am J Sports Med, 28, 245, 10.1177/03635465000280021701 · DOI
- 2005, Effects of ball sports on future risk of stress fracture in runners, Clin J Sports Med, 15, 136, 10.1097/01.jsm.0000165489.68997.60 · DOI
- 2013, Identifying sex-specific risk factors for stress fractures in adolescent runners, Med Sci Sports Exerc, 45, 1843, 10.1249/MSS.0b013e3182963d75 · DOI
- 2007, Regional bone mineral density in male athletes: a comparison of soccer players, runners and controls, Br J Sports Med, 41, 664, 10.1136/bjsm.2006.030783 · DOI
- 2011, Bone geometry and strength adaptations to physical constraints inherent in different sports: comparison between elite female soccer players and swimmers, J Bone Miner Metab, 29, 342, 10.1007/s00774-010-0226-8 · DOI
- 2011, Body mass, training, menses, and bone in adolescent runners: a 3-yr follow-up, Med Sci Sports Exerc, 43, 959, 10.1249/MSS.0b013e318201d7bb · DOI
- 2007, Low energy availability in the marathon and other endurance sports, Sports Med, 37, 348
- 2014, 2014 Female Athlete Triad Coalition Consensus Statement on Treatment and Return to Play of the Female Athlete Triad: 1st International Conference held in San Francisco, California, May 2012 and 2nd International Conference held in Indianapolis, Indiana, May 2013, Br J Sports Med, 48, 289, 10.1136/bjsports-2013-093218 · DOI · Paper page
- 2007, American College of Sports Medicine position stand. The female athlete triad, Med Sci Sports Exerc, 39, 1867
- 2017, Association of the female athlete triad risk assessment stratification to the development of bone stress injuries in collegiate athletes, Am J Sports Med, 45, 302, 10.1177/0363546516676262 · DOI
- 2013, Correlation of MRI grading of bone stress injuries with clinical risk factors and return to play: a 5-year prospective study in collegiate track and field athletes, Am J Sports Med, 41, 1930, 10.1177/0363546513490645 · DOI · Paper page
- 2008, Prevalence of and traits associated with low BMD among female adolescent runners, Med Sci Sports Exerc, 40, 2015, 10.1249/MSS.0b013e3181822ea0 · DOI
- 2014, Low bone density risk is higher in exercising women with multiple triad risk factors, Med Sci Sports Exerc, 46, 167, 10.1249/MSS.0b013e3182a03b8b · DOI
- 2015, Identifying sex-specific risk factors for low bone mineral density in adolescent runners, Am J Sports Med, 43, 1494, 10.1177/0363546515572142 · DOI
- 2011, DXA surrogates for visceral fat are inversely associated with bone density measures in adolescent athletes with menstrual dysfunction, J Pediatr Endocrinol Metab, 24, 497
- 2011, Prospective study of physical activity and risk of developing a stress fracture among preadolescent and adolescent girls, Arch Pediatr Adolesc Med, 165, 723, 10.1001/archpediatrics.2011.34 · DOI
- 2009, Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational resaerch informatics support, J Biomed Inform, 42, 377, 10.1016/j.jbi.2008.08.010 · DOI · Paper page
- 1997, High-impact exercise promotes bone gain in well-trained female athletes, J Bone Miner Res, 12, 255, 10.1359/jbmr.1997.12.2.255 · DOI · Paper page
- 2016, Bone mineral content and density among female NCAA Division I athletes across the competitive season and over a multi-year time frame, J Strength Cond Res, 30, 2828, 10.1519/JSC.0000000000000785 · DOI
- 2018, Increased leg bone mineral density and content during the initial years of college sport, J Strength Cond Res, 32, 1123, 10.1519/JSC.0000000000001929 · DOI
- 2018, Swimming and peak bone mineral density: a systematic review and meta-analysis, J Sports Sci, 36, 365
Cited by
Stellingwerff, T., Heikura, I. A., Meeusen, R., Bermon, S., Seiler, S., Mountjoy, M. L., & Burke, L. M. (2021) · Sports Medicine · doi:10.1007/s40279-021-01491-0 · Cited by 171
Stellingwerff, T., Mountjoy, M., McCluskey, W. T., Ackerman, K. E., Verhagen, E., & Heikura, I. A. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2023-106914 · Cited by 119
Fensham, N. C., Heikura, I. A., McKay, A. K. A., Tee, N., Ackerman, K. E., & Burke, L. M. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4658 · Cited by 65
De Souza, M. J., Ricker, E. A., Mallinson, R. J., Allaway, H. C., Koltun, K. J., Strock, N. C., Gibbs, J. C., Kuruppumullage Don, P., & Williams, N. I. (2022) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqac044 · Cited by 46
Ackerman, K. E., Rogers, M. A., Heikura, I. A., Burke, L. M., Stellingwerff, T., Hackney, A. C., Verhagen, E., Schley, S., Saville, G. H., Mountjoy, M., et al. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2023-107359 · Cited by 43
Metadata
- Authors
- TENFORDE, A. S., CARLSON, J. L., SAINANI, K. L., CHANG, A. O., KIM, J. H., GOLDEN, N. H., & FREDERICSON, M.
- Affiliations
- Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Spaulding National Running Center, Harvard Medical School, Cambridge, MA;
- Division of Adolescent Medicine, Department of Pediatrics, Stanford University, Stanford, CA;
- Division of Epidemiology, Department of Health Research and Policy, Stanford University, Stanford, CA;
- University of North Carolina School of Medicine, Chapel Hill, NC;
- Department of Orthopaedic Surgery, Boswell Human Performance Laboratory, Stanford, CA; and
- Venue
- Medicine & Science in Sports & Exercise
- Published
- 2018-12
- Volume
- 50
- Issue
- 12
- Pages
- 2536-2543
- ISSN
- 1530-0315
- 0195-9131
- Cited by
- 75
- References
- 1
- Language
- en
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- TENFORDE, A. S., CARLSON, J. L., SAINANI, K. L., CHANG, A. O., KIM, J. H., GOLDEN, N. H., & FREDERICSON, M. (2018). Sport and Triad Risk Factors Influence Bone Mineral Density in Collegiate Athletes. Medicine & Science in Sports & Exercise. https://doi.org/10.1249/mss.0000000000001711
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