兰州大学学报（医学版）2025，Vol.51Issue(10)：69-76,8.DOI:10.13885/j.issn.2097-681X.2025.10.010
基于China-PAR模型的饮食结构与心血管疾病风险关联性研究
The relationship between dietary structure and cardiovascular disease risks based on the China-PAR model
摘要
Abstract
Objective To categorize dietary patterns among the adult permanent resident population in Suzhou and analyze the relationship between dietary patterns and risks of cardiovascular diseases(CVD)based on the China-PAR model and latent class analysis.Methods A total of 3,907 adult participants(1,256 males and 2,651 females)with an average age of 65.7 years were included in the survey.They were among the 4 project sites in Suzhou High-tech Zone.Latent class analysis was used to divide the residents'dietary balance patterns into four categories:balanced diet type,unbalanced diet type,meat-based diet type,and vegetarian-fruit-based diet type.The China-PAR model was used to divide the 10-year risks of CVD into three categories:low,medi-um and high risks.The association between dietary patterns and CVD was evaluated by ordered multiclassifi-cation Logistic regression.Results Compared to the balanced diet group,individuals with an unbalanced diet and those whose diet was predominantly meat-based showed a significant positive association with CVD risk.Across different gender,age and chronic disease status groups,the impact of dietary patterns on CVD risk was more pronounced among males,the elderly and individuals with chronic diseases.Conclusion Unbalanced diets are associated with high risk of CVD,and we recommend promoting of healthy dietary habits and per-sonalized guidance,thus effectively preventing the occurrence of CVD through reasonable dietary control.关键词
心血管疾病/China-PAR模型/饮食结构/潜类别分析/有序多分类Logistic回归/疾病风险/关联性Key words
cardiovascular diseases/China-PAR model/dietary structure/latent class analysis/ordered multi-classification Logistic regression/disease risk/correlation分类
医药卫生引用本文复制引用
张茹,王茹,钱晟,鹿鹏,王优一,周志英..基于China-PAR模型的饮食结构与心血管疾病风险关联性研究[J].兰州大学学报（医学版）,2025,51(10):69-76,8.基金项目
中央财政重大传染病防控补助项目 （）
江苏省高等学校基础科学(自然科学)面上资助项目(21KJB330006) （自然科学）
苏州市"科教兴卫"青年科技资助项目(KJXW2021090) （KJXW2021090）
