Age, Sex, and Race/Ethnicity Associations between Fat Mass and Lean Mass with Bone Mineral Density: NHANES Data.
Meghan E GarveyLing ShiPhilimon N GonaPhilip J TropedSarah M CamhiPublished in: International journal of environmental research and public health (2021)
Rising rates of obesity and osteoporosis have public health implications; hence, understanding the relationships between body composition (fat mass (FM) and lean mass (LM)) and bone mineral density (BMD) is important. The purpose of this study is to investigate these associations in a large representative sample. A cross-sectional analysis was conducted using National Health and Nutrition Examination Survey participants (n = 1717, age 44.1 ± 14.2 years) who had complete dual energy x-ray absorptiometry (total BMD g/cm2, FM kg, and LM kg) and covariate data. Hierarchical linear regression models were fitted, controlling for demographic and behavioral covariates. Stratum-specific models were fitted by race, sex, and age group. Significant negative associations were found for FM and BMD (β = -0.003) and significant positive associations for LM and BMD (β = 0.007). Stratum-specific analyses by race were consistent between groups, while variations in negative association magnitudes were seen in FM for sex (males β = -0.005 vs. females β = -0.002) and age (under 45 years of age β = -0.005 vs. 45 years and older β = -0.002). Consistent positive linear associations in total and stratum-specified models between LM and BMD could suggest a potential mechanical influence on bone health. The biological mechanisms driving the magnitude variations between FM and BMD by sex and age require more investigation.
Keyphrases
- bone mineral density
- body composition
- postmenopausal women
- public health
- dual energy
- resistance training
- computed tomography
- healthcare
- type diabetes
- metabolic syndrome
- risk assessment
- big data
- magnetic resonance
- mental health
- electronic health record
- high resolution
- mass spectrometry
- data analysis
- body mass index
- weight gain
- cross sectional
- health information