The prevalence patterns and risk factor profiles of poor muscle health and its associated components in multiethnic older Asians: The PIONEER study

Author:

Gupta Preeti12,Vu Tai‐Anh2,Man Ryan E.K.12,Fenwick Eva K.12,Tay Laura3,Yee Sien Ng4,Ng David5,Frederick Koh Hong Xiang6,Yong Eu‐Leong7,Chew Samuel T.H.8910,Lamoureux Ecosse L.1211ORCID

Affiliation:

1. Singapore Eye Research Institute Singapore National Eye Centre Singapore

2. The Ophthalmology and Visual Sciences Academic Clinical Programme (EYE ACP) Duke‐NUS Medical School Singapore

3. Department of Geriatric Medicine Sengkang General Hospital Singapore

4. Department of Rehabilitation Medicine, Division of Medicine Singapore General Hospital Singapore

5. Department of Nuclear Medicine and Molecular Imaging Singapore General Hospital Singapore

6. Department of Surgery Sengkang General Hospital Singapore

7. Department of Obstetrics and Gynecology National University of Singapore Singapore

8. Department of Geriatric Medicine Changi General Hospital Singapore

9. SingHealth Duke‐NUS Medicine Academic Clinical Programme Singapore

10. Yong Loo Lin School of Medicine National University of Singapore Singapore

11. The University of Melbourne Australia

Abstract

AbstractBackgroundWe aim to determine the multiethnic patterns of the prevalence and associated factors of poor muscle health and its associated components in older Chinese, Malays, and Indian Asian adults.MethodsWe included 2199 participants (mean age ± SD: 72.9 ± 8.3 years; 54.3% female) from the baseline assessment of the Population Health and Eye Disease Profile in Elderly Singaporeans (PIONEER; 2017–2022) cohort study. Poor muscle health was defined as the presence of either low muscle mass (DEXA), or low muscle strength (handgrip strength), or low physical performance (gait speed). Its components include poor muscle function (low muscle strength and/or low physical performance without low muscle mass), pre‐sarcopenia (low muscle mass only), and any sarcopenia (low muscle mass with low muscle strength and/or low physical performance). Sociodemographic, clinical, and lifestyle factors were assessed using biochemistry, clinical tests, and validated questionnaires. Regression models were utilized to evaluate the independent risk factors of poor muscle health and its components.ResultsThe national census‐adjusted prevalence of poor muscle health (88%) was similar across the three ethnic groups. However, Chinese individuals had higher prevalence of pre‐sarcopenia and any sarcopenia, and a lower prevalence of poor muscle function compared with Indians or Malays. We observed ethnic differences in modifiable risk factors (low physical activity, diabetes, osteoporosis, and obesity) of poor muscle health and its components. Although obesity was protective of pre‐sarcopenia (RRR = 0.19, 95% CI: 0.11, 0.36) and any sarcopenia (RRR = 0.29, 95% CI: 0.18, 0.47) in the overall population and across ethnic groups, it was associated with 1.7 times (95% CI: 1.07, 2.67) the likelihood of poor muscle function in the entire population.ConclusionsAlmost 90% of community dwelling Singaporean aged ≥60 years have poor muscle health across the three ethnic groups with ethnic disparities in modifiable risk factors, highlighting an urgent need for community‐wide targeted interventions to promote muscle health.

Publisher

Wiley

Reference40 articles.

1. Biodemography of human ageing

2. Advances in muscle health and nutrition: A toolkit for healthcare professionals

3. Sarcopenia: burden and challenges for public health

4. Strengthening muscle health of community‐dwelling older adults in Singapore: evidence towards clinical implementation;Maier A;J Frailty Aging,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3