Study on the association between dietary patterns and cardiovascular metabolic comorbidities among adults.

IF 2.8 3区 医学 Q3 ENVIRONMENTAL SCIENCES
Danhui Mao, Lu He, Yajing Li, Mohan Zhang, Xiaoyu Wang, Gongkui Li, Xingrong Liu, Shiyun Wang, Mingyan Ma, Xiaojun Ren
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Abstract

Background: The prevalence of cardiovascular metabolic comorbidities (CMM) among adults is relatively high, imposing a heavy burden on individuals, families, and society. Dietary patterns play a significant role in the occurrence and development of CMM. This study aimed to identify the combined types of CMM in adult populations and explore the association between dietary patterns and CMM.

Methods: Participants in this study were from the sixth wave of the China Health and Nutrition Survey (CHNS) in 2009. Dietary intake was assessed using a three-day unconsecutive 24-hour dietary recall method among 4,963 participants. Latent profile analysis was used to determine dietary pattern types. Two-step cluster analysis was performed to identify the combined types of CMM based on the participants' conditions of hyperuricemia, dyslipidemia, diabetes, renal dysfunction, hypertension, and stroke. Logistic regression analysis with robust standard errors was used to determine the impact of dietary patterns on CMM.

Results: Participants were clustered into three dietary patterns (Pattern a, b and c) and five CMM types (Class I to V). Class I combined six diseases, with a low proportion of diabetes. Class II also combined six diseases but with a high proportion of diabetes. Class III combined four diseases, with a high proportion of hypertension. Class IV combined three diseases, with the highest proportions of hyperuricemia, diabetes, and renal dysfunction. Class V combined two diseases, with high proportions of dyslipidemia and renal dysfunction. Patients with Class III CMM had a significantly higher average age than the other four classes (P < 0.05). Compared to those with isolated dyslipidemia, individuals with a low-grain, high-fruit, milk, and egg (LCHFM) dietary pattern had a higher risk of developing dyslipidemia combined with renal dysfunction (Class V CMM) with an odds ratio of 2.001 (95% CI: 1.011-3.960, P < 0.05).

Conclusion: Individuals with isolated dyslipidemia should avoid a low-grain, high-fruit, milk, and egg (LCHFM) dietary pattern to reduce their dyslipidemia combined with renal dysfunction.

成人饮食模式与心血管代谢合并症的关系研究。
背景:心血管代谢合并症(CMM)在成人中的患病率相对较高,给个人、家庭和社会带来了沉重的负担。饲粮模式在CMM的发生和发展中起着重要作用。本研究旨在确定成人人群中CMM的组合类型,并探讨饮食模式与CMM之间的关系。方法:本研究的参与者来自2009年第六次中国健康与营养调查(CHNS)。在4963名参与者中,采用三天不连续的24小时饮食回忆法评估饮食摄入量。潜在剖面分析用于确定饮食模式类型。采用两步聚类分析,根据参与者的高尿酸血症、血脂异常、糖尿病、肾功能不全、高血压和中风的情况,确定CMM的组合类型。采用具有稳健标准误差的Logistic回归分析来确定饮食模式对CMM的影响。结果:参与者分为三种饮食模式(模式a, b和c)和五种CMM类型(I至V类)。一类合并6种疾病,糖尿病比例较低。第二类也合并了六种疾病,但糖尿病的比例很高。第三类合并四种疾病,高血压比例较高。第四类合并了三种疾病,其中高尿酸血症、糖尿病和肾功能障碍的比例最高。五类合并两种疾病,高比例的血脂异常和肾功能不全。III级CMM患者的平均年龄明显高于其他4级(P < 0.05)。低谷物、高水果、牛奶和鸡蛋(LCHFM)饮食模式的个体发生血脂异常合并肾功能障碍(V类CMM)的风险比高于孤立性血脂异常的个体,优势比为2.001 (95% CI: 1.011-3.960, P < 0.05)。结论:孤立性血脂异常患者应避免低谷物、高水果、牛奶和鸡蛋(LCHFM)饮食模式,以减少其血脂异常合并肾功能障碍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Health, Population, and Nutrition
Journal of Health, Population, and Nutrition 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.20
自引率
0.00%
发文量
49
审稿时长
6 months
期刊介绍: Journal of Health, Population and Nutrition brings together research on all aspects of issues related to population, nutrition and health. The journal publishes articles across a broad range of topics including global health, maternal and child health, nutrition, common illnesses and determinants of population health.
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