华南预防医学 ›› 2026, Vol. 52 ›› Issue (7): 791-795.doi: 10.12183/j.scjpm.2026.0791

• 论著 • 上一篇    下一篇

中国中老年人群膳食多样性评分与心血管代谢性共病关系研究

李青青, 雷浩浩, 吴冠吉, 麻强强   

  1. 西安市中心医院,陕西 西安 710003
  • 收稿日期:2026-01-16 出版日期:2026-07-20 发布日期:2026-08-07
  • 通讯作者: 麻强强,E-mail:maqiang0917@126.com
  • 作者简介:李青青(1991—),女,硕士研究生,主治医师,研究方向为心血管急危重症快速救治与体系化诊疗
  • 基金资助:
    西安市科技计划项目(24YXYJ0037)

Association between dietary diversity score and cardiometabolic multimorbidity in Chinese middle aged and older adults

Li Qingqing, Lei Haohao, Wu Guanji, Ma Qiangqiang   

  1. Xi'an Central Hospital, Xi'an, Shaanxi 710003, China
  • Received:2026-01-16 Online:2026-07-20 Published:2026-08-07

摘要: 目的 基于中国健康与养老追踪调查(CHARLS)探讨中国中老年人群膳食多样性评分与心血管代谢性共病(CMM)的关系。方法 基于CHARLS 2020年数据,采用横断面研究设计,纳入8 174名中老年人,依据CMM发生情况分为CMM组(n=3 268)和非CMM组(n=4 906)。通过多因素logistic回归、限制性立方样条(RCS)及城乡分层回归分析膳食多样性评分与CMM的关联。结果 8 174名中老年人膳食多样性评分为(8.50±4.56)分,其中低评分2 297人(28.10%)、中等4 165人(50.95%)、高1 712人(20.94%)。多因素logistic回归分析结果显示,年龄、性别、受教育程度、生活模式、体力活动水平、心血管疾病家族史、夜间睡眠时间及膳食多样性评分与CMM显著相关(均P<0.01)。RCS分析显示膳食多样性评分与CMM呈非线性剂量-反应关系。城乡分层分析显示,农村人群中低膳食多样性评分可增加CMM风险(OR=1.144,95% CI:1.014~1.290,P=0.029);城市人群中二者关联强度减弱,仅高评分表现出轻微保护作用(OR=1.151,95% CI:1.003~1.321,P=0.046)。结论 中国中老年人群膳食多样性评分与CMM显著相关,呈非线性关系,且存在城乡异质性,农村低膳食多样性人群CMM风险尤为突出。

关键词: 心血管代谢性共病, 中老年, 膳食多样性, 中国健康与养老追踪调查, 关系, 城乡差异

Abstract: Objective To investigate the association between the dietary diversity score (DDS) and cardiometabolic multimorbidity (CMM) among middle-aged and older populations in China, utilizing data from the China Health and Retirement Longitudinal Study (CHARLS). Methods A cross-sectional study design was employed using data from the 2020 wave of CHARLS. A total of 8 174 middle-aged and older adults were included and subsequently categorized into a CMM group (n=3 268) and a non-CMM group (n=4 906) based on the presence of cardiometabolic multimorbidity. The association between DDS and CMM was evaluated using multivariable logistic regression, restricted cubic splines (RCS), and urban-rural stratified regression analyses. Results The mean DDS among the 8 174 participants was 8.50 ± 4.56. The cohort was stratified by DDS into low (2 297 individuals, 28.10%), moderate (4 165 individuals, 50.95%), and high (1 712 individuals, 20.94%) dietary diversity categories. Multivariable logistic regression analysis demonstrated that age, sex, educational attainment, lifestyle patterns, physical activity levels, family history of cardiovascular disease, nocturnal sleep duration, and DDS were significantly associated with the prevalence of CMM (all P<0.01). RCS analysis revealed a nonlinear dose-response relationship between DDS and the risk of CMM. Urban-rural stratified analyses indicated that a low DDS was associated with an elevated risk of CMM among rural populations (OR=1.144, 95% CI: 1.014-1.290, P=0.029). Conversely, this association was attenuated in urban populations, where only a high DDS exhibited a marginal protective effect (OR=1.151, 95% CI: 1.003-1.321, P=0.046). Conclusion The dietary diversity score is significantly and nonlinearly associated with cardiometabolic multimorbidity among middle-aged and older adults in China. Furthermore, substantial urban-rural heterogeneity exists in this association, with the risk of CMM being particularly pronounced among rural populations exhibiting low dietary diversity.

Key words: Cardiometabolic multimorbidity, Middle aged and elderly, Dietary diversity, China Health and Retirement Longitudinal Study, Association, Urban-rural disparities

中图分类号: 

  • R151.4