Dataset Information

Skeletal muscle mass and all-cause mortality: Findings from the CRONICAS cohort study.

ABSTRACT:

Objective

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.

SUBMITTER: Bernabe-Ortiz A

PROVIDER: S-EPMC9945657 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature

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Publications

Skeletal muscle mass and all-cause mortality: Findings from the CRONICAS cohort study.

Bernabe-Ortiz Antonio A Carrillo-Larco Rodrigo M RM Gilman Robert H RH Smeeth Liam L Checkley William W Miranda J Jaime JJ

Tropical medicine & international health : TM & IH 20230102 2

<h4>Objective</h4>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.<h4>Methods</h4>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 comput ...[more]

PMID: 36573344

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Dataset Information

Skeletal muscle mass and all-cause mortality: Findings from the CRONICAS cohort study.

Objective

Methods

Results

Conclusion

Publications

Skeletal muscle mass and all-cause mortality: Findings from the CRONICAS cohort study.

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