Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 6

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Physical Activity Associations with Bone Mineral Density and Modification by Metabolic Traits

Buttan, Anshu, Cui, Jinrui, Guo, Xiuqing, Chen, Yii-Der I, Hsueh, Willa A, Rotter, Jerome I, Goodarzi, Mark O·2020·Journal of the Endocrine Society
DOI 10.1210/jendso/bvaa092
Open this paper in CoChat — free account

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1210/jendso/bvaa092

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Research works printed but not linked: 49

  1. 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
  2. Howe, 2011, Exercise for preventing and treating osteoporosis in postmenopausal women, Cochrane Database Syst Rev, CD000333
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. Goodarzi, 2004, Lipoprotein lipase is a gene for insulin resistance in Mexican Americans, Diabetes., 53, 214, 10.2337/diabetes.53.1.214 · DOI
  27. DeFronzo, 1979, Glucose clamp technique: a method for quantifying insulin secretion and resistance, Am J Physiol., 237, E214
  28. Bazzocchi, 2016, DXA: technical aspects and application, Eur J Radiol., 85, 1481, 10.1016/j.ejrad.2016.04.004 · DOI · Paper page
  29. 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
  30. 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
  31. 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
  32. Melton, 2005, Osteoporosis assessment by whole body region vs. site-specific DXA, Osteoporos Int., 16, 1558, 10.1007/s00198-005-1871-y · DOI
  33. 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
  34. 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
  35. Zeger, 1986, Longitudinal data analysis for discrete and continuous outcomes, Biometrics., 42, 121, 10.2307/2531248 · DOI · Paper page
  36. 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
  37. 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
  38. 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
  39. Belalcazar, 2015, Improving adiponectin levels in individuals with diabetes and obesity: insights from look AHEAD, Diabetes Care., 38, 1544, 10.2337/dc14-2775 · DOI
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. 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
  49. 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

See all 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
DOI
10.1210/jendso/bvaa092
Cited by
6
References
3
Language
en
Licence
creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
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)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Physical Activity Associations with Bone Mineral Density and Modification by Metabolic Traits. https://app.cochat.ai/papers/10.1210/jendso/bvaa092
The paper
Buttan, A., Cui, J., Guo, X., Chen, Y.-D. I., Hsueh, W. A., Rotter, J. I., & Goodarzi, M. O. (2020). Physical Activity Associations with Bone Mineral Density and Modification by Metabolic Traits. Journal of the Endocrine Society. https://doi.org/10.1210/jendso/bvaa092

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.