Li Shaojie, Ren Longbing, Hu Yang, Wu Yifei, Jiang Yuling, Yu Mingzhi, Kou Haiyan, Wu Dudu, Zhou Wenjian, Liu Zhouwei, Lv Faqin, Yao Yao
School of Public Health, Peking University, Beijing 100191, China; China Center for Health Development Studies, Peking University, Beijing 100191, China.
School of Public Health, Peking University, Beijing 100191, China.
J Nutr Health Aging. 2025 Feb;29(2):100449. doi: 10.1016/j.jnha.2024.100449. Epub 2024 Dec 19.
Housing is an important social determinant of health. However, limited studies have focused on the relationship between housing quality and sarcopenia, especially in low- and middle-income countries. This study aims to examine the association between housing quality and sarcopenia in older adults in China and India.
The study was based on the China Health and Retirement Longitudinal Study and Longitudinal Aging Study in India. Housing quality was evaluated by five indicators, including housing materials, water sources, sanitation facilities, main fuel for cooking, and availability of electricity. Housing quality is divided into three types: good (0-1 poor housing indicators), medium (2-3 poor housing indicators), and poor (4-5 poor housing indicators). Sarcopenia was evaluated according to the Asian Working Group for Sarcopenia (AWGS) 2019 Consensus. The logistic regression model was performed to examine the association between housing quality and sarcopenia.
The medium (OR = 1.69, 95%CI = 1.49-1.90) and poor housing quality (OR = 2.19, 95%CI = 1.89-2.54) were associated with sarcopenia in CHARLS. Similar results were also observed in the LASI with significantly higher prevalence of sarcopenia in medium (OR = 1.22, 95%CI = 1.11-1.33), and poor housing quality (OR = 1.60, 95%CI = 1.43-1.79). Moreover, we observed a linear relationship between housing quality and the prevalence of sarcopenia both in CHARLS and LASI (all P for trend <0.001).
Poorer housing quality was associated with a higher prevalence of sarcopenia in older adults in China and India. Housing quality improvement plans such as access to tap water, promotion of clean energy may have a positive effect on reducing the prevalence of sarcopenia.
住房是健康的重要社会决定因素。然而，针对住房质量与肌肉减少症之间关系的研究有限，尤其是在低收入和中等收入国家。本研究旨在探讨中国和印度老年人住房质量与肌肉减少症之间的关联。
本研究基于中国健康与养老追踪调查（CHARLS）和印度纵向老龄化研究（LASI）。住房质量通过五个指标进行评估，包括房屋材料、水源、卫生设施、主要烹饪燃料和电力供应情况。住房质量分为三类：良好（0 - 1项住房条件差的指标）、中等（2 - 3项住房条件差的指标）和差（4 - 5项住房条件差的指标）。根据亚洲肌肉减少症工作组（AWGS）2019年共识评估肌肉减少症。采用逻辑回归模型来检验住房质量与肌肉减少症之间的关联。
在中国健康与养老追踪调查中，中等住房质量（比值比[OR]=1.69，95%置信区间[CI]=1.49 - 1.90）和差的住房质量（OR = 2.19，95%CI = 1.89 - 2.54）与肌肉减少症相关。在印度纵向老龄化研究中也观察到了类似结果，中等住房质量（OR = 1.22，95%CI = 1.11 - 1.33）和差的住房质量（OR = 1.60，95%CI = 1.43 - 1.79）的肌肉减少症患病率显著更高。此外，在中国健康与养老追踪调查和印度纵向老龄化研究中，我们均观察到住房质量与肌肉减少症患病率之间存在线性关系（所有趋势P值<0.001）。
在中国和印度，较差的住房质量与老年人较高的肌肉减少症患病率相关。改善住房质量的计划，如提供自来水、推广清洁能源，可能对降低肌肉减少症患病率有积极作用。
