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Physical Activity Associations with Bone Mineral Density and Modification by Metabolic Traits
Abstract
Objective: To assess the relationship of physical activity with bone mineral density (BMD) at various sites and examine potential modifying metabolic factors. Methods: Responses from physical activity questionnaires were used to determine total physical activity (PA), moderate physical activity (mod-PA), and sedentary time. Regression analyses were performed to evaluate association of activity traits with insulin sensitivity by euglycemic clamp, adiponectin, C-reactive protein (CRP), and plasminogen activator inhibitor-1 (PAI-1) in 741 healthy subjects. Results: The cohort was relatively sedentary. Activity level was associated with arm, pelvis, and leg BMD in univariate analyses. In multivariate association analyses of arm BMD, only female sex (β = -0.73, P < 0.0001) and adiponectin (β = -0.076, P = 0.0091) were significant. Multivariate analyses of pelvis BMD found independent associations with body mass index (BMI) (β = 0.33, P < 0.0001), adiponectin (β = -0.10, P = 0.013), female sex (β = -0.18, P < 0.0001), sedentary time (β = -0.088, P = 0.034), PA (β = 0.11, P = 0.01), and mod-PA (β = 0.11, P = 0.014). Age (β = -0.10, P = 0.0087), female sex (β = -0.63, P < 0.0001), BMI (β = 0.24, P < 0.0001), and mod-PA (β = 0.10, P = 0.0024) were independently associated with leg BMD. Conclusions: These results suggest that BMD increases with physical activity in the arms, legs, and pelvis and is inversely related to sedentary time in the pelvis and legs; these associations may be modified by age, sex, BMI, and adiponectin, depending on the site, with physical activity being more important to pelvis and leg BMD than arm BMD and sedentary time being important for pelvis BMD. Moreover, we demonstrated that CRP, PAI-1, and insulin sensitivity play a minor role in BMD.
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“The most important factors related to bone mineralization and bone mass acquisition are endocrine and mechanical factors, such as habitual physical activity1–3, low sedentary time4–6, a healthy diet7,8, and sun exposure3,9.”
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Araiza, P., Hewes, H., Gashetewa, C., Vella, C. A., & Burge, M. R. (2006) · Metabolism · doi:10.1016/j.metabol.2006.06.009 · Cited by 183
Effects of resistance versus endurance training on serum adiponectin and insulin resistance index.
Ahmadizad, S., Haghighi, A. H., & Hamedinia, M. R. (2007) · European Journal of Endocrinology · doi:10.1530/eje-07-0223 · Cited by 115
Addition of Exercise Increases Plasma Adiponectin and Release from Adipose Tissue
WANG, X., YOU, T., MURPHY, K., LYLES, M. F., & NICKLAS, B. J. (2015) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000670 · Cited by 60
Research works printed but not linked: 49
- Duncan, 2002, Bone mineral density in adolescent female athletes: relationship to exercise type and muscle strength, Med Sci Sports Exerc., 34, 286, 10.1097/00005768-200202000-00017 · DOI
- Howe, 2011, Exercise for preventing and treating osteoporosis in postmenopausal women, Cochrane Database Syst Rev, CD000333
- Martyn-St James, 2006, High-intensity resistance training and postmenopausal bone loss: a meta-analysis, Osteoporos Int, 17, 1225, 10.1007/s00198-006-0083-4 · DOI
- Waltman, 2010, The effect of weight training on bone mineral density and bone turnover in postmenopausal breast cancer survivors with bone loss: a 24-month randomized controlled trial, Osteoporos Int., 21, 1361, 10.1007/s00198-009-1083-y · DOI
- Wallace, 2000, Systematic review of randomized trials of the effect of exercise on bone mass in pre- and postmenopausal women, Calcif Tissue Int., 67, 10, 10.1007/s00223001089 · DOI · Paper page
- Braun, 2015, Prediction of bone mineral density and content from measures of physical activity and sedentary behavior in younger and older females, Prev Med Rep., 2, 300, 10.1016/j.pmedr.2015.04.012 · DOI
- Chastin, 2014, Associations between objectively-measured sedentary behaviour and physical activity with bone mineral density in adults and older adults, the NHANES study, Bone., 64, 254, 10.1016/j.bone.2014.04.009 · DOI
- Chastin, 2014, The frequency of osteogenic activities and the pattern of intermittence between periods of physical activity and sedentary behaviour affects bone mineral content: the cross-sectional NHANES study, BMC Public Health., 14, 4, 10.1186/1471-2458-14-4 · DOI
- Matthews, 2006, Dancing for bone health: a 3-year longitudinal study of bone mineral accrual across puberty in female non-elite dancers and controls, Osteoporos Int., 17, 1043, 10.1007/s00198-006-0093-2 · DOI
- Andreoli, 2001, Effects of different sports on bone density and muscle mass in highly trained athletes, Med Sci Sports Exerc., 33, 507, 10.1097/00005768-200104000-00001 · DOI · Paper page
- Ribeiro-Dos-Santos, 2016, Prolonged practice of swimming is negatively related to bone mineral density gains in adolescents, J Bone Metab., 23, 149, 10.11005/jbm.2016.23.3.149 · DOI
- Agostinete, 2016, Basketball affects bone mineral density accrual in boys more than swimming and other impact sports: 9-mo follow-up, J Clin Densitom., 19, 375, 10.1016/j.jocd.2016.04.006 · DOI
- Shah, 2011, Exercise training in obese older adults prevents increase in bone turnover and attenuates decrease in hip bone mineral density induced by weight loss despite decline in bone-active hormones, J Bone Miner Res., 26, 2851, 10.1002/jbmr.475 · DOI · Paper page
- Armamento-Villareal, 2014, Changes in thigh muscle volume predict bone mineral density response to lifestyle therapy in frail, obese older adults, Osteoporos Int., 25, 551, 10.1007/s00198-013-2450-2 · DOI
- Marques, 2011, Effects of resistance and aerobic exercise on physical function, bone mineral density, OPG and RANKL in older women, Exp Gerontol., 46, 524, 10.1016/j.exger.2011.02.005 · DOI
- Vasconcellos, 2016, Health markers in obese adolescents improved by a 12-week recreational soccer program: a randomised controlled trial, J Sports Sci., 34, 564, 10.1080/02640414.2015.1064150 · DOI
- Ramel, 2015, C-reactive protein and resistance exercise in community dwelling old adults, J Nutr Health Aging., 19, 792, 10.1007/s12603-015-0548-2 · DOI
- Duggan, 2014, Effect of a 12-month exercise intervention on serum biomarkers of angiogenesis in postmenopausal women: a randomized controlled trial, Cancer Epidemiol Biomarkers Prev., 23, 648, 10.1158/1055-9965.EPI-13-1155 · DOI
- Racil, 2013, Effects of high vs. moderate exercise intensity during interval training on lipids and adiponectin levels in obese young females, Eur J Appl Physiol., 113, 2531, 10.1007/s00421-013-2689-5 · DOI · Paper page
- Falconer, 2014, Sedentary time and markers of inflammation in people with newly diagnosed type 2 diabetes, Nutr Metab Cardiovasc Dis., 24, 956, 10.1016/j.numecd.2014.03.009 · DOI
- Martins, 2010, The effect of aerobic versus strength-based training on high-sensitivity C-reactive protein in older adults, Eur J Appl Physiol., 110, 161, 10.1007/s00421-010-1488-5 · DOI
- Ahmadizad, 2014, Effects of short-term nonperiodized, linear periodized and daily undulating periodized resistance training on plasma adiponectin, leptin and insulin resistance, Clin Biochem., 47, 417, 10.1016/j.clinbiochem.2013.12.019 · DOI
- Papp, 2016, effects of high-intensity hatha yoga on cardiovascular fitness, adipocytokines, and apolipoproteins in healthy students: a randomized controlled study, J Altern Complement Med., 22, 81, 10.1089/acm.2015.0082 · DOI
- Boyle, 2010, The effects of whole body vibration and exercise on fibrinolysis in men, Eur J Appl Physiol., 110, 1057, 10.1007/s00421-010-1590-8 · DOI
- Goodarzi, 2005, Variation in the gene for muscle-specific AMP deaminase is associated with insulin clearance, a highly heritable trait, Diabetes., 54, 1222, 10.2337/diabetes.54.4.1222 · DOI
- Goodarzi, 2004, Lipoprotein lipase is a gene for insulin resistance in Mexican Americans, Diabetes., 53, 214, 10.2337/diabetes.53.1.214 · DOI
- DeFronzo, 1979, Glucose clamp technique: a method for quantifying insulin secretion and resistance, Am J Physiol., 237, E214
- Bazzocchi, 2016, DXA: technical aspects and application, Eur J Radiol., 85, 1481, 10.1016/j.ejrad.2016.04.004 · DOI · Paper page
- Franck, 2000, Total body and regional bone mineral densitometry (BMD) and soft tissue measurements: correlations of BMD parameter to lumbar spine and hip, Calcif Tissue Int., 67, 111, 10.1007/s00223001124 · DOI
- Hammami, 2001, Regional bone mass measurement from whole-body dual energy X-ray absorptiometry scan, J Clin Densitom., 4, 131, 10.1385/JCD:4:2:131 · DOI
- Hangartner, 2000, Comparison of absorptiometric evaluations from total-body and local-regional skeletal scans, J Clin Densitom., 3, 215, 10.1385/JCD:3:3:215 · DOI
- Melton, 2005, Osteoporosis assessment by whole body region vs. site-specific DXA, Osteoporos Int., 16, 1558, 10.1007/s00198-005-1871-y · DOI
- Rubenstein, 2011, Validation of a new physical activity questionnaire for a sedentary population, Dig Dis Sci., 56, 2678, 10.1007/s10620-011-1641-y · DOI
- Ainsworth, 1993, Compendium of physical activities: classification of energy costs of human physical activities, Med Sci Sports Exerc., 25, 71, 10.1249/00005768-199301000-00011 · DOI · Paper page
- Zeger, 1986, Longitudinal data analysis for discrete and continuous outcomes, Biometrics., 42, 121, 10.2307/2531248 · DOI · Paper page
- Maddalozzo, 2007, The effects of hormone replacement therapy and resistance training on spine bone mineral density in early postmenopausal women, Bone., 40, 1244, 10.1016/j.bone.2006.12.059 · DOI
- Glenn, 2015, Differences in regional adiposity, bone mineral density, and physical exercise participation based on exercise self-efficacy among senior adults, J Sports Med Phys Fitness., 55, 1166
- Kelley, 2012, Effects of ground and joint reaction force exercise on lumbar spine and femoral neck bone mineral density in postmenopausal women: a meta-analysis of randomized controlled trials, BMC Musculoskelet Disord., 13, 177, 10.1186/1471-2474-13-177 · DOI
- Belalcazar, 2015, Improving adiponectin levels in individuals with diabetes and obesity: insights from look AHEAD, Diabetes Care., 38, 1544, 10.2337/dc14-2775 · DOI
- Al-Osami, 2018, Serum adiponectin level in osteoporotic postmenopausal women with type 2 diabetes mellitus, Diabetes Metab Syndr., 12, 939, 10.1016/j.dsx.2018.05.019 · DOI
- Fuggle, 2018, Relationships between markers of inflammation and bone density: findings from the Hertfordshire Cohort Study, Osteoporos Int., 29, 1581, 10.1007/s00198-018-4503-z · DOI
- Hawkins, 2015, The impact of an exercise intervention on C-reactive protein during pregnancy: a randomized controlled trial, BMC Pregnancy Childbirth., 15, 139, 10.1186/s12884-015-0576-2 · DOI
- Balducci, 2010, Anti-inflammatory effect of exercise training in subjects with type 2 diabetes and the metabolic syndrome is dependent on exercise modalities and independent of weight loss, Nutr Metab Cardiovasc Dis., 20, 608, 10.1016/j.numecd.2009.04.015 · DOI · Paper page
- Yang, 2018, Association of insulin resistance with lower bone volume and strength index of the proximal femur in nondiabetic postmenopausal women, J Bone Metab., 25, 123, 10.11005/jbm.2018.25.2.123 · DOI
- Kalimeri, 2018, Association of insulin resistance with bone strength and bone turnover in menopausal Chinese-Singaporean women without diabetes, Int J Environ Res Public Health, 15, 889, 10.3390/ijerph15050889 · DOI
- Rokling-Andersen, 2007, Effects of long-term exercise and diet intervention on plasma adipokine concentrations, Am J Clin Nutr., 86, 1293, 10.1093/ajcn/86.5.1293 · DOI
- Canecki-Varžić, 2016, Plasminogen activator inhibitor-1 concentrations and bone mineral density in postmenopausal women with type 2 diabetes mellitus, BMC Endocr Disord., 16, 14, 10.1186/s12902-016-0094-x · DOI
- Temple, 2019, Association of habitual daily physical activity with glucose tolerance and β-cell function in adults with impaired glucose tolerance or recently diagnosed type 2 diabetes from the restoring insulin secretion (RISE) study, Diabetes Care., 42, 1521, 10.2337/dc19-0538 · DOI
- Dauriz, 2018, Association of free-living physical activity measures with metabolic phenotypes in type 2 diabetes at the time of diagnosis. The Verona Newly Diagnosed Type 2 Diabetes Study (VNDS), Nutr Metab Cardiovasc Dis., 28, 343, 10.1016/j.numecd.2017.12.011 · DOI
Cited by
Kopiczko, A., Bałdyka, J., Adamczyk, J. G., Nyrć, M., & Gryko, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-93891-9 · Cited by 6
Metadata
- Authors
- Buttan, A., Cui, J., Guo, X., Chen, Y.-D. I., Hsueh, W. A., Rotter, J. I., & Goodarzi, M. O.
- Venue
- Journal of the Endocrine Society
- Publisher
- The Endocrine Society
- Published
- 2020-07-07
- Volume
- 4
- Issue
- 8
- ISSN
- 2472-1972
- Cited by
- 6
- References
- 3
- Language
- en
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (P30-DK063491)
- National Heart, Lung, and Blood Institute (R01-HL088457)
- National Center for Advancing Translational Sciences (UL1TR001881)
- National Center for Research Resources (M01-RR00425)
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