膳食模式与中国农村老年人心血管代谢性多重疾病的关联。

Association between Dietary Patterns and Cardiometabolic Multimorbidity among Chinese Rural Older Adults.

机构信息

Center for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.

National Health Commission (NHC) Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China.

出版信息

Nutrients. 2024 Aug 24;16(17):2830. doi: 10.3390/nu16172830.

DOI:10.3390/nu16172830

PMID:39275148

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11397048/

Abstract

BACKGROUND

The global population is aging rapidly, leading to an increase in the prevalence of cardiometabolic multimorbidity (CMM). This study aims to investigate the association between dietary patterns and CMM among Chinese rural older adults.

METHODS

The sample was selected using a multi-stage cluster random sampling method and a total of 3331 rural older adults were ultimately included. Multivariate logistic regression analysis was used to examine the association between the latent dietary patterns and CMM.

RESULTS

The prevalence of CMM among rural older adults was 44.64%. This study identified four potential categories: "Low Consumption of All Foods Dietary Pattern (C1)", "High Dairy, Egg, and Red Meat Consumption, Low Vegetable and High-Salt Consumption Dietary Pattern (C2)", "High Egg, Vegetable, and Grain Consumption, Low Dairy and White Meat Consumption Dietary Pattern (C3)" and "High Meat and Fish Consumption, Low Dairy and High-Salt Consumption Dietary Pattern (C4)". Individuals with a C3 dietary pattern (OR, 0.80; 95% CI, 0.66-0.98; = 0.028) and a C4 dietary pattern (OR, 0.70; 95% CI, 0.51-0.97; = 0.034) significantly reduced the prevalence of CMM compared with the C1 dietary pattern.

CONCLUSIONS

Rural older adults have diverse dietary patterns, and healthy dietary patterns may reduce the risk of CMM.

摘要

背景

全球人口老龄化迅速，导致心血管代谢性多重疾病（CMM）的患病率增加。本研究旨在探讨中国农村老年人饮食模式与 CMM 的关系。

方法

采用多阶段聚类随机抽样方法选取样本，共纳入 3331 名农村老年人。采用多变量逻辑回归分析探讨潜在饮食模式与 CMM 之间的关系。

结果

农村老年人 CMM 的患病率为 44.64%。本研究确定了四个潜在的类别：“所有食物低消费饮食模式（C1）”、“高乳制品、蛋类和红色肉类消费，低蔬菜和高盐消费饮食模式（C2）”、“高蛋类、蔬菜和谷物消费，低乳制品和白色肉类消费饮食模式（C3）”和“高肉类和鱼类消费，低乳制品和高盐消费饮食模式（C4）”。与 C1 饮食模式相比，C3 饮食模式（OR，0.80；95%CI，0.66-0.98； = 0.028）和 C4 饮食模式（OR，0.70；95%CI，0.51-0.97； = 0.034）的个体 CMM 患病率显著降低。