In:
Tropical Medicine & International Health, Wiley, Vol. 28, No. 2 ( 2023-02), p. 107-115
Abstract:
We aimed (1) to evaluate the agreement between two methods (equation and bio‐impedance analysis [BIA]) to estimate skeletal muscle mass (SMM), and (2) to assess if SMM was associated with all‐cause mortality risk in individuals across different geographical sites in Peru. Methods We used data from the CRONICAS Cohort Study (2010–2018), a population‐based longitudinal study in Peru to assess cardiopulmonary risk factors from different geographical settings. SMM was computed as a function of weight, height, sex and age (Lee equation) and by BIA. All‐cause mortality was retrieved from national vital records. Cox proportional‐hazard models were developed and results presented as hazard ratios (HRs) with 95% confidence intervals (95% CIs). Results At baseline, 3216 subjects, 51.5% women, mean age 55.7 years, were analysed. The mean SMM was 23.1 kg (standard deviation [SD]: 6.0) by Lee equation, and 22.7 (SD: 5.6) by BIA. Correlation between SMM estimations was strong (Pearson's ρ coefficient = 0.89, p 〈 0.001); whereas Bland–Altman analysis showed a small mean difference. Mean follow‐up was 7.0 (SD: 1.0) years, and there were 172 deaths. In the multivariable model, each additional kg in SMM was associated with a 19% reduction in mortality risk (HR = 0.81; 95% CI: 0.75–0.88) using the Lee equation, but such estimate was not significant when using BIA (HR = 0.98; 95% CI: 0.94–1.03). Compared to the lowest tertile, subjects at the highest SMM tertile had a 56% reduction in risk of mortality using the Lee equation, but there was no such association when using BIA estimations. Conclusion There is a strong correlation and agreement between SMM estimates obtained by the Lee equation and BIA. However, an association between SMM and all‐cause mortality exists only when the Lee equation is used. Our findings call for appropriate use of approaches to estimate SMM, and there should be a focus on muscle mass in promoting healthier ageing.
Type of Medium:
Online Resource
ISSN:
1360-2276
,
1365-3156
Language:
English
Publisher:
Wiley
Publication Date:
2023
detail.hit.zdb_id:
2018112-7
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