Literature DB >> 29290364

Association of sarcopenic obesity predicted by anthropometric measurements and 24-y all-cause mortality in elderly men: The Kuakini Honolulu Heart Program.

Kiyoshi Sanada1, Randi Chen2, Bradley Willcox3, Tomoyuki Ohara4, Aida Wen5, Cody Takenaka5, Kamal Masaki3.   

Abstract

OBJECTIVE: The aim of this study was to investigate the association between anthropometric measurements of sarcopenic obesity and all-cause mortality.
METHODS: The study included 2309 Japanese-American men ages 71 to 93 y. Mortality data were available for up to 24 y of follow-up. Sarcopenic obesity defined by three patterns of obesity indexes (body mass index [BMI], percent body fat [%BF] and waist circumference [WC]) and skeletal muscle index estimated by anthropometric measurements.
RESULTS: Of the 2309 participants, 2210 deaths were reported during the mean follow-up period of 11.7 y. Risk for death was significantly increased with sarcopenia after adjusting for baseline age, lifestyle variables, hypertension, diabetes, and cognitive scores (hazard ratio [HR], 1.26; 95% confidence interval [CI], 1.15-1.38). Risk for death was significantly decreased with obesity using WC and %BF to define obesity, but not BMI. Risk for death also was significantly increased in the sarcopenia group compared with the optimal group, regardless of which pattern of obesity indexes (BMI, %BF, and WC) was used. Risk for death was significantly increased in sarcopenic obesity defined by WC (HR, 1.19; 95% CI, 1.02-1.38), borderline in the BMI-defined group, and not significant in the %BF-defined group.
CONCLUSION: All-cause mortality was increased in men with sarcopenic obesity defined by WC, but not BMI and %BF. Sarcopenia was a stronger predictor of all-cause mortality in this cohort >70 y of age. These results suggest that anthropometric definitions for sarcopenia and sarcopenic obesity are clinically useful as a predictor of all-cause mortality.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Age; Anthropometry; Mortality; Obesity; Sarcopenia

Mesh:

Year:  2017        PMID: 29290364     DOI: 10.1016/j.nut.2017.09.003

Source DB:  PubMed          Journal:  Nutrition        ISSN: 0899-9007            Impact factor:   4.008


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