作者
Yi Ding,Xianglin Wu,Qiuyu Cao,Jiaojiao Huang,Xiaoli Xu,Yang Jiang,Yanan Huo,Qin Wan,Yingfen Qin,Ruying Hu,Lixin Shi,Qing Su,Xuefeng Yu,Li Yan,Guijun Qin,Xulei Tang,Gang Chen,Min Xu,Tiange Wang,Zhiyun Zhao,Zhengnan Gao,Guixia Wang,Feixia Shen,Zuojie Luo,Li Chen,Qiang Li,Zhen Ye,Y. Zhang,Chao Liu,Y Wang,Tao Yang,Huacong Deng,Lulu Chen,Tianshu Zeng,Jiajun Zhao,Yiming Mu,Shengli Wu,Yuhong Chen,Jieli Lu,Weiqing Wang,Guang Ning,Yu Xu,Yufang Bi,Mian Li
摘要
Abstract Background Cardiovascular-kidney-metabolic (CKM) health is affected by social determinants of health, especially education. CKM syndrome has not been evaluated in Chinese population, and the association of education with CKM syndrome in different sexes and its intertwined relation with lifestyles have not been explored. Objective We aimed to explore the association between educational attainment and the prevalence of CKM syndrome stages in middle-aged and older Chinese men and women as well as the potential role of health behavior based on Life’s Essential 8 construct. Methods This study used data from the nationwide, community-based REACTION (Risk Evaluation of Cancers in Chinese diabetic individuals: a longitudinal study). A total of 132,085 participants with complete information to determine CKM syndrome stage and education level were included. Educational attainment was assessed by the self-reported highest educational level achieved by the participants and recategorized as low (elementary school or no formal education) or high (middle school, high school, technical school/college, or above). CKM syndrome was ascertained and classified into 5 stages according to the American Heart Association presidential advisory released in 2023. Results Among 132,085 participants (mean age 56.95, SD 9.19 years; n=86,675, 65.62% women) included, most had moderate-risk CKM syndrome (stages 1 and 2), and a lower proportion were at higher risk of CKM (stages 3 and 4). Along the CKM continuum, low education was associated with 34% increased odds of moderate-risk CKM syndrome for women (odds ratio 1.36, 95% CI 1.23-1.49) with a significant sex disparity, but was positively correlated with high-risk CKM for both sexes. The association between low education and high-risk CKM was more evident in women with poor health behavior but not in men, which was also interactive with and partly mediated by behavior. Conclusions Low education was associated with adverse CKM health for both sexes but was especially detrimental to women. Such sex-specific educational disparity was closely correlated with health behavior but could not be completely attenuated by behavior modification. These findings highlight the disadvantage faced by women in CKM health ascribed to low education, underscoring the need for public health support to address this inequality.