Scholarlink

Background <p>Cardiometabolic multimorbidity (CMM) poses a significant health burden among <!-- Query ID="Q1" Text="Please check article title if captured correctly." Resolved="yes" -->middle-aged and older adults in China, yet early risk prediction remains challenging. The Composite Score of Physiological Variability (CSPV), integrating blood pressure, pulse rate, and body weight fluctuations, may offer a novel tool for assessing CMM risk, but the role of socioeconomic status (SES) in this association is unclear.</p> Methods <p>Using data from the China Health and Retirement <!-- Query ID="Q2" Text="Please confirm if the author names are presented accurately and in the correct sequence. Otherwise amend if necessary." Resolved="yes" -->Longitudinal Study (CHARLS,&#xa0;<i>N</i> = 4,905) and the Chinese Longitudinal Healthy Longevity Survey (CLHLS,&#xa0;<i>N</i> = 4,086), we calculated CSPV based on tertile-coefficients of variation for physiological measures. Cox models and mediation analyses examined longitudinal associations between CSPV and CMM, adjusting for covariates (age, sex, lifestyle, etc.), and quantified SES mediation.</p> Results <p>The risk of CMM was significantly higher for each 1-point increase in CSPV (CHARLS: HR = 1.31, 95% CI: 1.18–1.42; CLHLS: HR = 1.18, 95% CI: 1.06–1.31; combined analyses: HR = 1.22, 95% CI: 1.12–1.37). SES played a partially mediating role in the association between CSPV and <!-- Query ID="Q3" Text="Please check if affiliation was captured and presented correctly." Resolved="yes" -->CMM partially mediated, with mediation percentages of 21% (CHARLS) and 16% (CLHLS), respectively. Stratified analyses showed that the CSPV-CMM association was stronger in the low-education, low-income, and rural-dwelling populations.</p> Conclusion <p>Elevated CSPV is an independent predictor of increased risk of CMM in middle-aged and elderly Chinese, and SES plays an important mediating role in this association. Monitoring the variability of physiological indicators and combining them with socioeconomic interventions may contribute to the early prevention and control of CMM.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Socioeconomic disparities in physiological dysregulation: a longitudinal mediation analysis of cardiometabolic multimorbidity among middle-aged and elderly Chinese

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月10日

查看全文
  • Chunyu Yan,
  • Yingyu Jing,
  • Qi Ruan,
  • Ping Liu,
  • Guang Chen

摘要

Background

Cardiometabolic multimorbidity (CMM) poses a significant health burden among middle-aged and older adults in China, yet early risk prediction remains challenging. The Composite Score of Physiological Variability (CSPV), integrating blood pressure, pulse rate, and body weight fluctuations, may offer a novel tool for assessing CMM risk, but the role of socioeconomic status (SES) in this association is unclear.

Methods

Using data from the China Health and Retirement Longitudinal Study (CHARLS, N = 4,905) and the Chinese Longitudinal Healthy Longevity Survey (CLHLS, N = 4,086), we calculated CSPV based on tertile-coefficients of variation for physiological measures. Cox models and mediation analyses examined longitudinal associations between CSPV and CMM, adjusting for covariates (age, sex, lifestyle, etc.), and quantified SES mediation.

Results

The risk of CMM was significantly higher for each 1-point increase in CSPV (CHARLS: HR = 1.31, 95% CI: 1.18–1.42; CLHLS: HR = 1.18, 95% CI: 1.06–1.31; combined analyses: HR = 1.22, 95% CI: 1.12–1.37). SES played a partially mediating role in the association between CSPV and CMM partially mediated, with mediation percentages of 21% (CHARLS) and 16% (CLHLS), respectively. Stratified analyses showed that the CSPV-CMM association was stronger in the low-education, low-income, and rural-dwelling populations.

Conclusion

Elevated CSPV is an independent predictor of increased risk of CMM in middle-aged and elderly Chinese, and SES plays an important mediating role in this association. Monitoring the variability of physiological indicators and combining them with socioeconomic interventions may contribute to the early prevention and control of CMM.