Habitual levels of vigorous, but not moderate or light, physical activity is positively related to cortical bone mass in adolescents

A Sayers, C Mattocks, K Deere, A Ness, C Riddoch, J H Tobias, A Sayers, C Mattocks, K Deere, A Ness, C Riddoch, J H Tobias

Abstract

Context: The intensity of habitual physical activity (PA) needed to affect skeletal development in childhood is currently unclear.

Objective: To examine associations between light PA, moderate PA, and vigorous PA (as assessed by accelerometry), and tibial cortical bone mass (BMC(C)) as measured by peripheral quantitative computed tomography.

Design/setting: Cross-sectional analysis based on the Avon Longitudinal Study of Parents and Children.

Participants: A total of 1748 boys and girls (mean age 15.5 yr) participated in the study.

Outcome measures: We measured BMC(C), cortical bone mineral density, periosteal circumference, and endosteal circumference by tibial peripheral quantitative computed tomography.

Results: Multivariable models, adjusted for height and other activity levels, indicated vigorous PA was positively related to BMC(C) (P = 0.0001). There was little evidence of a relationship with light PA or moderate PA (both P ≥ 0.7). In path analyses, the relationship between vigorous PA and BMC(C) [0.082 (95% confidence interval [CI]: 0.037, 0.128), P = 0.0004] (SD change per doubling of vigorous PA) was minimally attenuated by adjusting for body composition [0.070 (95% CI: 0.026, 0.115), P = 0.002]. In analyses adjusted for body composition, the relationship between vigorous PA and BMC(C) was explained by the periosteal circumference pathway [0.043 (95% CI: 0.004, 0.082), P = 0.03] and the endosteal circumference adjusted for periosteal circumference pathway [0.031 (95% CI: 0.011, 0.050), P = 0.002], while there was little contribution from the cortical bone mineral density pathway (P = 0.3).

Conclusions: Vigorous day-to-day PA is associated with indices of BMC(C) and geometry in adolescents, whereas light or moderate PA has no detectable association. Therefore, promoting PA in childhood is unlikely to benefit skeletal development unless high-impact activities are also increased.

Figures

Fig. 1.
Fig. 1.
The association of light, moderate, and vigorous activity on BMCC (top) and SSI (bottom), adjusted for age, height, average recording time, and other levels of exercise intensity in boys (n = 778) and girls (n = 970). y axis represent β coefficients with 95% confidence limits, expressed as sd change in pQCT variable per sd increase in light activity and per doubling in moderate or vigorous activity. BMCC, P values for light activity P(ALL) = 0.68 (B = 0.81, G = 0.68), for moderate activity P(ALL) = 0.93 (B = 0.57, G = 0.75), and for vigorous activity P(ALL) < 0.00001 (B = 0.007, G = 0.002). SSI, P values for light activity P(ALL) = 0.49 (B = 0.87, G = 0.33), for moderate activity P(ALL) = 0.69 (B = 0.21, G = 0.64), and for vigorous activity P(ALL) = 0.003 (B = 0.06, G = 0.01). No evidence of any sex differences were observed for light, moderate, or vigorous PA (P ≥ 0.2 in all instances). B, Boys; G, girls.
Fig. 2.
Fig. 2.
Theoretical relationships between PA, body composition, bone shape, and density. Direction of effect is indicated by +ve (positive) effects, −ve (negative) effects, and ?ve (direction not currently clear) effects. PC, periosteal circumference; EC, endosteal circumference.
Fig. 3.
Fig. 3.
The association of vigorous PA (vigorous) with BMCC via LM, FM, and an independent bone pathway (top, body composition pathways). The association of vigorous PA with BMCC via periosteal circumference (PC), endosteal circumference adjusted for periosteal circumference (ECPC), and BMDC pathways (bottom, independent bone pathways). Bootstrap path coefficients (with 95% confidence limits) represent sd change per doubling in vigorous activity (P values are also indicated adjacent to each path). Sex interactions (differences between the sexes) for the association between vigorous PA and BMC via body composition paths: LM (P = 0.0672), FM (P = 0.8291), bone (P = 0.7024), total (P = 0.8686), and via independent bone paths PC (P = 0.3619), ECPC (P = 0.7197), and BMDC (P = 0.1266). Arrow sizes are proportional to the strength of the association, with solid arrows indicating positive association and dashed arrows negative association. Bold formatting indicates P < 0.05.

References

    1. Goodship AE, Lanyon LE, McFie H. 1979. Functional adaptation of bone in increased stress. J Bone Joint Surg 61:539–546
    1. Rubin CT, Lanyon LE. 1985. Regulation of bone mass by mechanical strain magnitude. Calcif Tissue Int 37:411–417
    1. Biewener AA, Taylor CR. 1986. Bone strain: a determinant of gait and speed? J Exp Med 123:383
    1. Burr DB, Milgrom C, Fyhrie D, Forwood M, Nyska M, Finestone A, Hoshaw S, Saiag E, Simkin A. 1996. In vivo measurement of human tibial strains during vigorous activity. Bone 18:405–410
    1. Hind K, Burrows M. 2007. Weight-bearing exercise and bone mineral accrual in children and adolescents: a review of controlled trials. Bone 40:14–27
    1. Macdonald HM, Kontulainen SA, Khan KM, McKay HA. 2007. Is a school-based physical activity intervention effective for increasing tibial bone strength in boys and girls? J Bone Miner Res 22:434–446
    1. Lorentzon M, Mellstrom D, Ohlsson C. 2005. Association of amount of physical activity with cortical bone size and trabecular volumetric BMD in young adult men: the GOOD Study. J Bone Miner Res 20:1936–1943
    1. Tobias JH, Steer CD, Mattocks C, Riddoch C, Ness AR. 2007. Habitual levels of physical activity influence bone mass in 11-year-old children from the UK: findings from a large population-based cohort. J Bone Miner Res 22:101–109
    1. Golding J, Pembrey M, Jones R. 2001. ALSPAC–the Avon Longitudinal Study of Parents and Children. I. Study methodology. Paediatr Perinat Epidemiol 15:74–87
    1. Stratec Medizintechnik GmbH. XCT 2000 Manual Version 6.66 2005
    1. Sayers A, Tobias JH. 2010. Fat mass exerts a greater effect on cortical bone mass in girls than boys. J Clin Endocrinol Metab 95:699–706
    1. Ekelund U, Sjostrom M, Yngve A, Poortvliet E, Nilsson A, Froberg K. 2001. Physical activity assessed by activity monitor and doubly labeled water in children. Med Sci Sport Exer 33:275–281
    1. Trost SG, Ward DS, Moorehead SM, Watson PD, Riner W, Burke JR. 1998. Validity of the computer science and applications (CSA) activity monitor in children. Med Sci Sport Exer 30:629–633
    1. Mattocks C, Leary S, Ness A, Deere K, Saunders J, Tilling K, Kirkby J, Blair SN, Riddoch C. 2007. Calibration of an accelerometer during free-living activities in children. Int J Pediatr Obes 2:218–226
    1. Clark EM, Ness AR, Bishop NR, Tobias JH. 2006. The association between bone mass and fractures in children: a prospective cohort study. J Bone Miner Res 21:1489–1496
    1. Janz KF, Gilmore JM, Levy SM, Letuchy EM, Burns TL, Beck TJ. 2007. Physical activity and femoral neck bone strength during childhood: the Iowa Bone Development Study. Bone 41:216–222
    1. Specker B, Binkley T. 2003. Randomized trial of physical activity and calcium supplementation on bone mineral content in 3- to 5-year-old children. J Bone Miner Res 18:885–892
    1. Nilsson M, Ohlsson C, Mellstrom D, Lorentzon M. 2009. Previous sport activity during childhood and adolescence is associated with increased cortical bone size in young adult men. J Bone Miner Res 24:125–133
    1. Nilsson M, Ohlsson C, Sundh D, Mellstrom D, Lorentzon M. 2010. Association of physical activity with trabecular microstructure and cortical bone at distal tibia and radius in young adult men. J Clin Endocrinol Metab 95:2917–2926
    1. McKay HA, MacLean L, Petit M, MacKelvie-O'Brien K, Janssen P, Beck T, Khan KM. 2005. “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 39:521–526
    1. Janz KF, Burns TL, Torner JC, Levy SM, Paulos R, Willing MC, Warren JJ. 2001. Physical activity and bone measures in young children: the Iowa bone development study. Pediatrics 107:1387–1393
    1. Morris JN, Heady JA, Raffle PA, Roberts CG, Parks JW. 1953. Coronary heart-disease and physical activity of work. Lancet 265:1111–1120; concl
    1. Park HA, Lee JS, Kuller LH, Cauley JA. 2007. Effects of weight control during the menopausal transition on bone mineral density. J Clin Endocrinol Metab 92:3809–3815
    1. Ness AR, Leary SD, Mattocks C, Blair SN, Reilly JJ, Wells J, Ingle S, Tilling K, Smith GD, Riddoch C. 2007. Objectively measured physical activity and fat mass in a large cohort of children. PLoS Med 4:e97.
    1. Riddoch CJ, Leary SD, Ness AR, Blair SN, Deere K, Mattocks C, Griffiths A, Davey Smith G, Tilling K. 2009. Prospective associations between objective measures of physical activity and fat mass in 12–14 year old children: the Avon Longitudinal Study of Parents and Children (ALSPAC). BMJ 339:b4544.
    1. Janz KF, Rao S, Bauman HJ, Schultz JL. 2003. Measuring children's vertical ground reaction forces with accelerometry during walkin, running, jumping: The Iowa Bone Development Study. Pediatr Exerc Sci 15:34–43
    1. Mattocks C, Leary S, Ness A, Deere K, Saunders J, Kirkby J, Blair SN, Tilling K, Riddoch C. 2007. Intraindividual variation of objectively measured PA in children. Med Sci Sports Exerc 39:622–629

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