Zhong Yang, Wang Suyuan, Hao Doudou, Zhu Suyin, Chen Yanli, Shi Zhiyou, Yang Qing, Wu Yunhong
Department of Biobank, Hospital of Chengdu Office of People's Government of Xizang Autonomous Region (Hospital.C.X.), Chengdu, 610041, China.
Department of Endocrinology, Hospital of Chengdu Office of People's Government of Xizang Autonomous Region (Hospital.C.X.), Chengdu, 610041, China.
BMC Geriatr. 2025 Jul 15;25(1):531. doi: 10.1186/s12877-025-06179-y.
With growing concern about global climate change and its potential consequences, its health impacts have been widely studied. However, the association between temperature and sarcopenia states in Chinese older adults remains unclear. The study aimed to examine the association based on a nationally representative large-scale survey.
The study used data from three waves (2011, 2013, 2015) of the China Health and Retirement Longitudinal Study (CHARLS) for adults aged ≥ 60 years, combined with meteorological and PM data from the China Research Data Services (CNRDS) Platform (2011-2015). Sarcopenia states were assessed using the Asian Working Group for Sarcopenia criteria 2019 (AWGS2019). Cross-sectional analysis used generalized additive models with cubic splines to identify non-linear relationships between temperature and sarcopenia states prevalence. For longitudinal analysis, four multivariable logistic regression models were developed to assess the association, adjusting for confounders. Subgroup analyses evaluated population sensitivity to temperature exposure.
The prevalence of possible sarcopenia was 29.4%, 28.5%, and 24.8% in 2011, 2013, and 2015, respectively, while sarcopenia rates were 9.6%, 10.7%, and 9.8%. Cross-sectional analysis showed that possible sarcopenia was associated with a higher risk of falls (OR: 1.31, P < 0.001) and hip fractures (OR: 1.63, P < 0.001). Longitudinal analysis revealed that a 1℃ increase in the three-year average diurnal temperature range (mDTR) raised the risk of possible sarcopenia by 8% (OR: 1.08, 95% CI: 1.01-1.15) and sarcopenia by 13% (OR: 1.13, 95% CI: 1.01-1.26). Conversely, a 1℃ increase in the three-year average daily mean temperature (mDMT) within 0-25℃ reduced the risk of possible sarcopenia by 4% (OR: 0.96, 95% CI: 0.94-0.99). Individuals living at altitudes ≥ 500 m were more vulnerable to the adverse effects of temperature fluctuations on possible sarcopenia.
Our study found that temperature is associated with sarcopenia states in Chinese older adults. Increased mDTR raised the risk of possible sarcopenia and sarcopenia, while mDMT (0-25℃) lowered possible sarcopenia risk. Individuals living at altitudes ≥ 500 m were more vulnerable to the adverse effects of temperature fluctuations on sarcopenia.
随着对全球气候变化及其潜在后果的日益关注，其对健康的影响已得到广泛研究。然而，中国老年人的温度与肌肉减少症状态之间的关联仍不明确。本研究旨在基于一项具有全国代表性的大规模调查来检验这种关联。
本研究使用了中国健康与养老追踪调查（CHARLS）三波（2011年、2013年、2015年）中60岁及以上成年人的数据，并结合了中国研究数据服务（CNRDS）平台（2011 - 2015年）的气象和PM数据。使用2019年亚洲肌肉减少症工作组标准（AWGS2019）评估肌肉减少症状态。横断面分析采用带立方样条的广义相加模型来识别温度与肌肉减少症状态患病率之间的非线性关系。对于纵向分析，开发了四个多变量逻辑回归模型来评估这种关联，并对混杂因素进行了调整。亚组分析评估了人群对温度暴露的敏感性。
2011年、2013年和2015年可能患有肌肉减少症的患病率分别为29.4%、28.5%和24.8%，而肌肉减少症的发生率分别为9.6%、10.7%和9.8%。横断面分析表明，可能患有肌肉减少症与跌倒风险较高（比值比：1.31，P < 0.001）和髋部骨折风险较高（比值比：1.63，P < 0.001）相关。纵向分析显示，三年平均日温差（mDTR）每升高1℃，可能患有肌肉减少症的风险增加8%（比值比：1.08, 95%置信区间：1.01 - 1.15），肌肉减少症的风险增加13%（比值比：1.13, 95%置信区间：1.01 - 1.26）。相反，在0 - 25℃范围内，三年平均日平均温度（mDMT）每升高1℃，可能患有肌肉减少症的风险降低4%（比值比：0.96, 95%置信区间：0.94 - 0.99）。生活在海拔≥500米的个体更容易受到温度波动对可能患有肌肉减少症的不利影响。
我们的研究发现，温度与中国老年人的肌肉减少症状态相关。mDTR升高会增加可能患有肌肉减少症和肌肉减少症的风险，而mDMT（0 - 25℃）会降低可能患有肌肉减少症的风险。生活在海拔≥500米的个体更容易受到温度波动对肌肉减少症的不利影响。
