Literature DB >> 30802841

Predictive value of percentage body fat in aging people with low muscle mass: A 2.2-year longitudinal study.

Yu-Jie Zhang1, Shi-Hui Fu1, Jing-Xin Wang2, Xin Zhao3, Qiang Zeng3, Xiao-Ying Li4.   

Abstract

BACKGROUND: The aim of this study was to evaluate the usefulness of percentage body fat (PBF) in screening for the risk of low muscle mass (LMM) in elderly people.
METHODS: A prospective study was carried out in Chinese PLA General Hospital with 413 participants who underwent baseline and an average 2.2-year follow-up health check-up examinations.
RESULTS: The average age of the participants at baseline was 63.6 years. The incidence of newly developed LMM was 10.3% in men and 18.2% in women during follow-up. Linear regression demonstrated that baseline PBF were negatively correlated with follow-up total muscle mass index (TMMI) in both men and women (β=-0.124 for men and -0.233 for women, all P < 0.001). The cut-off points of baseline PBF in elderly people for future LMM were 25.45% in men and 30.95% in women and were identified by Receiver Operator Curves (ROC).
CONCLUSIONS: Elderly people with a high PBF had a higher risk of new LMM, which suggested that baseline PBF had a close relationship with future LMM and the screening of high PBF should be paid enough attention in health care management in the senior people.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Elderly people; Muscle mass; Percentage body fat

Mesh:

Year:  2019        PMID: 30802841     DOI: 10.1016/j.archger.2019.02.005

Source DB:  PubMed          Journal:  Arch Gerontol Geriatr        ISSN: 0167-4943            Impact factor:   3.250


  2 in total

1.  Value of appendicular skeletal muscle mass to total body fat ratio in predicting obesity in elderly people: a 2.2-year longitudinal study.

Authors:  Yu-Jie Zhang; Shi-Hui Fu; Jing-Xin Wang; Xin Zhao; Yao Yao; Xiao-Ying Li
Journal:  BMC Geriatr       Date:  2020-04-19       Impact factor: 3.921

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Journal:  Nutrients       Date:  2022-07-14       Impact factor: 6.706

  2 in total

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