Subscribe to RSS
DOI: 10.1055/a-2393-3391
The Influence of Adolescent Physical Activity on Bone Mineral Density among Adult Runners
![](https://www.thieme-connect.de/media/sportsmed/202501/lookinside/thumbnails/ijsm-05-2024-10620_10-1055-a-2393-3391-1.jpg)
Abstract
This study aimed to determine the influence of sport type and training volume during adolescence on low bone mineral density (BMD) in long-distance runners. In total, 125 competitive long-distance runners (64 males; 21.3±4.2 years, 61 females; 21.4±3.1 years) participated in this retrospective cohort study. We collected training history data during adolescence using a questionnaire and measured BMD of the lumbar spine and whole body using dual-energy X-ray absorptiometry (DXA). Male runners with low BMD ran for more hours (p=0.02) and had a smaller proportion of multidirectional loading activity (p=0.03) in elementary school than those with normal BMD. Although female runners with low BMD performed multidirectional activity for more hours in middle school than those with normal BMD (p=0.01), running volume was similar between groups. There was an increasing trend in the total number of hours of physical activity in middle school in female runners with low BMD (p=0.05). These results suggest that avoiding specialization in long-distance running, increasing the proportion of multidirectional sports, and preventing overload during the bone growth phase may reduce the risk of low BMD among runners.
Publication History
Received: 22 May 2024
Accepted: 14 August 2024
Accepted Manuscript online:
19 August 2024
Article published online:
08 October 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany
-
References
- 1 Bratsman A, Wassef A, Wassef CR. et al. Epidemiology of NCAA bone stress injuries: A comparison of athletes in divisions I, II, and III. Orthop J Sports Med 2021; 9: 1-7
- 2 Changstrom BG, Brou L, Khodaee M. et al. Epidemiology of stress fracture injuries among us high school athletes, 2005–2006 through 2012-2013. Am J Sports Med 2015; 43: 26-33
- 3 Rizzone KH, Ackerman KE, Roos KG. et al. The epidemiology of stress fractures in collegiate student-athletes, 2004–2005 through 2013-2014 academic years. J Athl Train 2017; 52: 966-975
- 4 Kelsey JL, Bachrach LK, Procter-Gray E. et al. Risk factors for stress fracture among young female cross-country runners. Med Sci Sports Exerc 2007; 39: 1457-1463
- 5 Hoenig T, Tenforde AS, Strahl A. et al. Does magnetic resonance imaging grading correlate with return to sports after bone stress injuries? A systematic review and meta-analysis. Am J Sports Med 2022; 50: 834-844
- 6 Hoenig T, Eissele J, Strahl A. et al. Return to sport following low-risk and high-risk bone stress injuries: A systematic review and meta-analysis. Br J Sports Med 2023; 57: 427-432
- 7 Popp KL, Ackerman KE, Rudolph SE. et al. Changes in volumetric bone mineral density over 12 months after a tibial bone stress injury diagnosis: Implications for return to sports and military duty. Am J Sports Med 2021; 49: 226-235
- 8 Barrack MT, Gibbs JC, De Souza MJ. et al. Higher incidence of bone stress injuries with increasing female athlete triad-related risk factors: A prospective multisite study of exercising girls and women. Am J Sports Med 2014; 42: 949-958
- 9 Nose-Ogura S, Yoshino O, Dohi M. et al. Risk factors of stress fractures due to the female athlete triad: Differences in teens and twenties. Scand J Med Sci Sports 2019; 29: 1501-1510
- 10 Bennell KL, Malcolm SA, Thomas SA. et al. Risk factors for stress fractures in track and field athletes: A twelve-month prospective study. Am J Sports Med 1996; 24: 810-818
- 11 Barrack MT, Rauh MJ, Nichols JF. Prevalence of and traits associated with low BMD among female adolescent runners. Med Sci Sports Exerc 2008; 40: 2015-2021
- 12 Nose-Ogura S, Yoshino O, Dohi M. et al. Low bone mineral density in elite female athletes with a history of secondary amenorrhea in their teens. Clin J Sport Med 2020; 30: 245-250
- 13 Tenforde AS, Fredericson M, Sayres LC. et al. Identifying sex-specific risk factors for low bone mineral density in adolescent runners. Am J Sports Med 2015; 43: 1494-1504
- 14 Barrack MT, Fredericson M, Tenforde AS. et al. Evidence of a cumulative effect for risk factors predicting low bone mass among male adolescent athletes. Br J Sports Med 2017; 51: 200-205
- 15 Tenforde AS, Parziale AL, Popp KL. et al. Low bone mineral density in male athletes is associated with bone stress injuries at anatomic sites with greater trabecular composition. Am J Sports Med 2018; 46: 30-36
- 16 Kemper HCG, Twisk JWR, Van Mechelen W. et al. A fifteen-year longitudinal study in young adults on the relation of physical activity and fitness with the development of the bone mass: The Amsterdam Growth and Health Longitudinal Study. Bone 2000; 27: 847-853
- 17 Macdonald HM, Kontulainen SA, Khan KM. et al. Is a school-based physical activity intervention effective for increasing tibial bone strength in boys and girls?. J Bone Miner Res 2007; 22: 434-446
- 18 McKay HA, MacLean L, Petit M. et al. “Bounce at the Bell”: A novel program of short bouts of exercise improves proximal femur bone mass in early pubertal children. Br J Sports Med 2005; 39: 521-526
- 19 McKay H, Liu D, Egeli D. et al. Physical activity positively predicts bone architecture and bone strength in adolescent males and females. Acta Paediatr 2011; 100: 97-101
- 20 O’connor JA, Lanyon LE, Macfie H. The influence of strain rate on adaptive bone remodeling. J Biomech 1982; 15: 767-781
- 21 Rubin CT, Lanyon LE. Regulation of bone formation by applied dynamic loads. J Bone Joint Surg 1984; 66: 397-402
- 22 Rubin CT, Lanyon LE. Calcified tissue international regulation of bone mass by mechanical strain magnitude. 1985; 37: 411-417
- 23 Turner CH, Owan I, Takano Y. Mechanotransduction in bone: Role of strain rate. Am J Phys 1995; 269: E438-E442
- 24 Turner CH, Robling AG. Mechanisms by which exercise improves bone strength. J Bone Miner Metab 2005; 23: 16-22
- 25 Taaffe DR, Snow Harter C, Connolly DA. et al. Differential effects of swimming versus weight-bearing activity on bone mineral status of eumenorrheic athletes. J Bone Miner Res 1995; 10: 586-593
- 26 Vlachopoulos D, Barker AR, Williams CA. et al. The impact of sport participation on bone mass and geometry in male adolescents. Med Sci Sports Exerc 2017; 49: 317-326
- 27 Agostinete RR, Fernandes RA, Narciso PH. et al. Categorizing 10 sports according to bone and soft tissue profiles in adolescents. Med Sci Sports Exerc 2020; 52: 2673-2681
- 28 Tenforde AS, Carlson JL, Sainani KL. et al. Sport and triad risk factors influence bone mineral density in collegiate athletes. Med Sci Sports Exerc 2018; 50: 2536-2543
- 29 Weeks BK, Beck BR. The BPAQ: A bone-specific physical activity assessment instrument. Osteoporosis International 2008; 19: 1567-1577
- 30 Kannus P, Haapasalo H, Sankelo M. et al. Effect of starting age of physical activity on bone mass in the dominant arm of tennis and squash players. Ann Intern Med 1995; 123: 27-31
- 31 Fredericson M, Ngo J, Cobb K. Effects of ball sports on future risk of stress fracture in runners. Clin J Sport Med 2005; 15: 136-141
- 32 Milgrom C, Simkin A, Eldad A. et al. Using bone’s adaptation ability to lower the incidence of stress fractures. Am J Sports Med 2000; 28: 245-251
- 33 Rudolph SE, Caksa S, Gehman S. et al. Physical activity, menstrual history, and bone microarchitecture in female athletes with multiple bone stress injuries. Med Sci Sports Exerc 2021; 53: 2182-2189
- 34 Popp KL, Turkington V, Hughes JM. et al. Skeletal loading score is associated with bone microarchitecture in young adults. Bone 2019; 127: 360-366
- 35 Warden SJ, Edwards WB, Willy RW. Preventing bone stress injuries in runners with optimal workload. Curr Osteoporos Rep 2021; 19: 298-307
- 36 Nattiv A, Loucks AB, Manore MM. et al. The female athlete triad. Med Sci Sports Exerc 2007; 39: 1867-1882
- 37 De Souza MJ, Nattiv A, Joy E. et al. 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. M. Br J Sports Med 2014; 48: 289
- 38 Baxter-Jones ADG, Faulkner RA, Forwood MR. et al. Bone mineral accrual from 8 to 30 years of age: An estimation of peak bone mass. J Bone Miner Res 2011; 26: 1729-1739
- 39 Warden SJ, Sventeckis AM, Surowiec RK. et al. Enhanced bone size, microarchitecture, and strength in female runners with a history of playing multidirectional sports. Med Sci Sports Exerc 2022; 54: 2020-2030
- 40 Yan C, Bice RJ, Frame JW. et al. Multidirectional basketball activities load different regions of the tibia: A subject-specific muscle-driven finite element study. Bone 2022; 159: 116392
- 41 Rauh MJ, Tenforde AS, Barrack MT. et al. Sport specialization and low bone mineral density in female high school distance runners. J Athl Train 2020; 55: 1239-1246
- 42 Nichols JF, Rauh MJ, Barrack MT. et al. Bone mineral density in female high school athletes: Interactions of menstrual function and type of mechanical loading. Bone 2007; 41: 371-377
- 43 Bailey DA, McKay HA, Mirwald RL. et al. A six-year longitudinal study of the relationship of physical activity to bone mineral accrual in growing children: The University of Saskatchewan Bone Mineral Accrual Study. J Bone Miner Res 1999; 14: 1672-1679
- 44 Krabak BJ, Roberts WO, Tenforde AS. et al. Youth running consensus statement: Minimising risk of injury and illness in youth runners. Br J Sports Med 2021; 55: 305-318
- 45 Tenforde AS, Lynn SK, Carter SL. et al. Participation in ball sports may represent a prehabilitation strategy to prevent future stress fractures and promote bone health in young athletes. PM and R 2015; 7: 222-225