Skeletal and cardiac muscle longitudinal associations in the Baltimore Longitudinal Study of Aging (BLSA)
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Published on: May 27, 2016
Jie Jun Wong1, Fei Gao1,2, Edward G Lakatta3
1Department of Cardiology, National Heart Centre Singapore, 5 Hospital Dr, Singapore, 169609, Singapore.
Background:
Sarcopenia, the age-related loss of skeletal muscle mass and function, has been linked to adverse health outcomes. Cross-sectional associations have been observed between skeletal and cardiac muscle mass and function in healthy, community-dwelling older adults during normative aging. Further longitudinal studies on the skeletal muscle-cardiac axis during aging are needed to inform the temporal patterns and impact of these associations.
Methods:
We analyzed data from participants from the Baltimore Longitudinal Study of Aging. Individual longitudinal rates of change (random slopes) of echocardiography-derived cardiac function, appendicular lean mass (ALM), and maximal handgrip strength (HGS) were estimated with linear mixed-effects models. The associations between baseline measurements and rates of change (Change) were examined using Pearson correlation and multiple linear regression. Continuous variables are expressed as mean ± standard deviation (SD).
Results:
Among 1025 participants (66.6 ± 13.1 years, 47.8% male), the baseline mean HGS was 33.1 ± 11.0 kg, and ALM was 20.8 ± 5.3 kg; the mean left ventricular ejection fraction was 67.5 ± 9.7%, and LV mass (LVM) was 145.6 ± 50.4 g. With aging, HGS decreased by 0.36 kg/year (95% CI: -0.41, -0.31), ALM decreased by 25.1 g/year (95% CI: -34.7, -15.5), and LVM decreased by 0.730 g/year (95% CI: -0.998, -0.460). Both ALMChange and HGSChange were inversely correlated with advancing age ([r = -0.159 p < 0.001] and [r = -0.172 p < 0.001], respectively), while LVMChange was not (p = 0.178). Adjusting for baseline, ALMChange was significantly associated with LVMChange independently of age, sex, and LVM (β = 0.287, p < 0.001, adj. R2 = 0.663); the association persisted after adjustment for pulse pressure, mean arterial pressure, and body mass index. The interaction term sex*baseline-adjusted ALMChange was statistically significant (p < 0.050). ALMChange was also correlated with LVEFChange (r = 0.102, p = 0.001), while HGSChange was not significantly correlated with LVMChange (p = 0.642).
Conclusions:
Among community-dwelling normative aging adults, age-associated decline in skeletal muscle mass correlated with reductions in LVM and function, independently of age, sex, and hemodynamic loading conditions. Our findings suggest a skeletal muscle-cardiac axis characterized by parallel declines beginning in early aging, preceding cardiovascular disease. Further studies exploring cardiac and skeletal muscle aging-related declines may direct interventions to halt these adverse processes concurrently.
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