What question did this study set out to answer?

This study aims to explore how body composition, particularly lean mass, relates to bone mineral density in older adults in Chile.

June 28, 2026BMC GeriatricsOpen Access

Association between body composition and bone mineral density in community-dwelling older adults from Chile: a sex-stratified DXA-based cross-sectional study

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Cross-sectional study examines lean mass and bone mineral density in older adults, indicating its significance for bone health.

This study aims to explore how body composition, particularly lean mass, relates to bone mineral density in older adults in Chile.
Cross-sectional study of 274 community-dwelling adults aged ≥ 65 years from Chile, with an 80% female composition.
Body composition was assessed using dual-energy x-ray absorptiometry (DXA) for lean and fat mass measurements.
Spearman correlation and multiple linear regression analyses were performed, adjusting for various factors including age and body mass index (BMI).
Total lean mass was positively associated with whole-body BMD (ρ = 0.66; p < 0.001), with stronger correlation in men (ρ = 0.62) than women (ρ = 0.47).
In regression models, lean mass explained 53.4% of the variance in whole-body BMD (adjusted R² = 0.534).
Associations for lumbar spine and femoral neck BMD in smaller subsamples were generally weaker or nonsignificant.

Fritz et al. (2026) studied this question.

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June 28, 2026BMC GeriatricsOpen Access

View Full Paper

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Authors

Cross-sectional study examines lean mass and bone mineral density in older adults, indicating its significance for bone health.

This study aims to explore how body composition, particularly lean mass, relates to bone mineral density in older adults in Chile.
Cross-sectional study of 274 community-dwelling adults aged ≥ 65 years from Chile, with an 80% female composition.
Body composition was assessed using dual-energy x-ray absorptiometry (DXA) for lean and fat mass measurements.
Spearman correlation and multiple linear regression analyses were performed, adjusting for various factors including age and body mass index (BMI).
Total lean mass was positively associated with whole-body BMD (ρ = 0.66; p < 0.001), with stronger correlation in men (ρ = 0.62) than women (ρ = 0.47).
In regression models, lean mass explained 53.4% of the variance in whole-body BMD (adjusted R² = 0.534).
Associations for lumbar spine and femoral neck BMD in smaller subsamples were generally weaker or nonsignificant.

Fritz et al. (2026) studied this question.

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