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Multicenter Study
. 2025 Jul 1;54(7):afaf189.
doi: 10.1093/ageing/afaf189.

Interactions between bone density and muscle mass in predicting all-cause mortality: a 10-year prospective cohort study of 1388 older men (aged 77-101 years)

Affiliations
Multicenter Study

Interactions between bone density and muscle mass in predicting all-cause mortality: a 10-year prospective cohort study of 1388 older men (aged 77-101 years)

Ben Kirk et al. Age Ageing. .

Abstract

Background: Low bone density and low muscle mass are both independent risk factors for mortality in older men. However, it is unknown if these tissues interact to increase mortality risk. Elucidating this information is important as bone and muscle are modifiable across the life cycle.

Objective: To examine whether there is an interconnection between bone density and muscle mass on all-cause mortality in older men.

Design: Prospective cohort study.

Setting: The Osteoporotic Fractures in Men study, an multicenter longitudinal study across six US sites.

Participants: Exposures measured at baseline visit (2014-2016) included bone density by dual-energy X-ray absorptiometry (hip, g/cm2); muscle mass by creatine dilution stable isotope (whole body, kg); bone strength by high-resolution computed tomography (tibia, newtons); and muscle volume by high-resolution computed tomography (calf, mm3). Covariates measured at baseline visit (2014-2016) included demographics and lifestyle factors as well as medical conditions.

Main outcome measure: All-cause mortality by death certificates and International Classification of Diseases-Ninth Revision codes measured from 2014 to 2016 through August 2024. Data analysis was performed during December 2024. Cox hazards models were used to model the relationship between the exposures and outcomes, unadjusted and adjusted for covariates.

Results: A total of 1388 men with a mean age of 84.2 ± 4.1 years (77-101 years, 91.6% white) were followed for 6.58 ± 2.61 years. A total of 663 (47.8%) men died. In unadjusted analyses using continuous exposures, interaction terms were significant between bone and muscle variables for all-cause mortality (P < 0.001 to 0.039). In men with low muscle mass or low muscle volume (≤50th percentile), each SD decrease in bone density increased all-cause mortality by a respective 19% (HR = 1.19 95% CI 1.07-1.34) and 29% (HR = 1.29 95% CI 1.11-1.49) in multivariable-adjusted models. Likewise, in men with low muscle mass or low muscle volume (≤50th percentile), each SD decrease in bone strength increased all-cause mortality by a respective 19% (HR = 1.19 95% CI 1.06-1.33) and 29% (HR = 1.29 95% CI 1.12-1.48) in multivariable-adjusted models.

Conclusions: We found consistent evidence for a combined association of bone and muscle health on all-cause mortality. Randomised controlled trials are now needed to confirm if increasing or preserving bone and muscle mass in old age reduces mortality risk.

Keywords: bone–muscle interactions; mortality; older people; osteoporosis; sarcopenia.

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Conflict of interest statement

B.K. is partly supported by research grants from TSI Pharmaceuticals and the Australian Government (Department of Industry, Science and Resources) under the AusIndustry programme (Innovations Connections Grant ID: ICG001874) which are unrelated to the contents of this manuscript. PMC has grants to her institution from Nestle and Abbott outside of the work of this manuscript. All other authors have no conflicts of interest to declare regarding the content of this manuscript.

Figures

Figure 1
Figure 1
Survival probability across median splits of bone and muscle variables for all-cause mortality. Data are unadjusted for covariates.
Figure 2
Figure 2
Multivariable-adjusted hazard ratio (with 95% CI) for all-cause mortality using median splits of muscle variables with bone variables presented as continuous variable. Models are adjusted for age, race, clinical center, alcohol, smoking, medical conditions, limb length, weight, % fat, physical activity, and cognition.
Figure 3
Figure 3
Multivariable-adjusted hazard ratio (with 95% CI) for all-cause mortality using median splits of bone and muscle variables. Models are adjusted for age, race, clinical center, alcohol, smoking, medical conditions, limb length, weight, % fat, physical activity, and cognition.

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