Weight and body mass index predict bone mineral density and fractures in women aged 40 to 59 years

Morin, Suzanne N; Tsang, James F.; Leslie, William D.

doi:10.1007/s00198-008-0688-x

Cited by 119 publications

(101 citation statements)

References 33 publications

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“…However, a negative association of obesity with BMD was observed in some studies, contradicting this study 12,13 . Assumed mechanisms put forth to support their results were, secretion of pro-inflammatory cytokines that stimulate bone resorption, decreased levels of adiponectins and increased parathormone levels.Theresults also revealed that there was a negative relationship between age and BMD.…”

Section: Discussioncontrasting

confidence: 91%

A Study on Body Mass Index and Bone Mineral Density among Adult Males

Ao¹,

Debbarma²,

Roy³

et al. 2017

IOSR JDMS

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Section: Discussioncontrasting

confidence: 91%

A Study on Body Mass Index and Bone Mineral Density among Adult Males

Ao¹,

Debbarma²,

Roy³

et al. 2017

IOSR JDMS

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“…This is consistent with the observation that heavier individuals experienced lower-magnitude strains for a given compressive force, indicating stronger bone. This also supports the previously reported effects of body mass on lower-extremity mechanical loading [41], areal BMD [42], and fracture risk [43].…”

Section: Discussionsupporting

confidence: 91%

Distal Radius Microstructure and Finite Element Bone Strain Are Related to Site-Specific Mechanical Loading and Areal Bone Mineral Density in Premenopausal Women

Mancuso

Johnson

Ahmed

et al. 2017

Preprint

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Peak bone mass is predictive of lifetime fracture risk, yet young adult women are not screened or counseled on strategies for improving their bone health. Thus, the purpose of this cross-sectional analysis was to identify measurable factors describing genetic and lifestyle characteristics predictive of bone macro-and microstructure and mechanical behavior. We hypothesized that serum vitamin D, current daily calcium intake, site-specific loading, and grip strength would be associated with favorable bone structure and mechanical properties. Seventytwo women aged 21-40 were included in this cross-sectional analysis. High resolution peripheral quantitative computed tomography was used to measure total bone mineral density (BMD), trabecular BMD, mean cross-sectional area (CSA), trabecular number, cortical BMD, cortical thickness, and cortical porosity (%) in the ultradistal radius. Quantitative analysis of clinical computed tomography (CT) scans of the distal forearm were used to calculate integral BMD, bone volume (BV), and bone mineral content (BMC) in the ultradistal and total distal radius, and mean energy equivalent strain in the ultradistal radius was calculated from continuum finite element models generated from CT images. Hierarchical regression models were used to assess the predictive capability of intrinsic (age, height) and modifiable (body mass, grip strength, physical activity) predictors. Vitamin D and calcium intake were not correlated with any bone parameter. Age and height explained 32% of the variance in variables related to bone size, with grip strength and adult loading due to physical activity each explaining an additional 5 to 19% in these and other measures. Body mass explained 10% of the variance in bone strain under a given force, with higher body mass being associated with lower strain (r=-0.210, p<0.05). Overall, results suggest that meaningful differences in bone structure and strength can be predicted by measurable subject characteristics. This highlights the contribution of modifiable site-specific mechanical loading on bone structure and strength.

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“…(10) These studies have demonstrated that the increase in added risk factors in these tools did not add to the performance in evaluating the risk of low bone mass. Age and body weight are the most influential risk factors for osteoporosis (4,5,19) so that the other factors added to these screening tools could not much increase their performance.…”

Section: Discussionmentioning

confidence: 99%

Performance of osteoporosis self-assessment tool in detecting low bone mineral density in menopausal women

Haryono

Prastowo

2017

Universa Medicina

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Weight and body mass index predict bone mineral density and fractures in women aged 40 to 59 years

Abstract: Low weight and BMI predict osteoporosis and are associated with increased fracture risk in younger women. The negative impact of low body weight on bone health should be more widely recognized.

Cited by 119 publications

References 33 publications

A Study on Body Mass Index and Bone Mineral Density among Adult Males

A Study on Body Mass Index and Bone Mineral Density among Adult Males

Distal Radius Microstructure and Finite Element Bone Strain Are Related to Site-Specific Mechanical Loading and Areal Bone Mineral Density in Premenopausal Women

Performance of osteoporosis self-assessment tool in detecting low bone mineral density in menopausal women

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