Association Between Diabetes and Personality Traits Among the Elderly in China: A Latent Class Analysis.

IF 1.6 4区 医学 Q4 ENDOCRINOLOGY & METABOLISM Experimental and Clinical Endocrinology & Diabetes Pub Date : 2023-10-01 Epub Date: 2023-08-04 DOI:10.1055/a-2148-9789
Peisheng Xiong, Wanbao Ye, Meijuan Xiong, Kangkang Chen, Kai Xu
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Abstract

Background: The present study aimed to identify individuals with different personalities using latent class analysis and further distinguish those with a high risk of diabetes among different clusters.

Methods: Data were utilized from a large-scale, cross-sectional epidemiological survey conducted in 2018 across 23 provinces in China, employing a multi-stage, stratified sampling technique. Latent class cluster analysis was performed to identify distinct personality clusters based on a series of variables concerning life attitudes. Logistic regression was used to calculate adjusted odds ratios (AORs) after controlling for potential confounding variables, including age, gender, body mass index, smoking status, alcohol consumption, hypertension, and physical activity levels, to determine the association between these groups and diabetes.

Results: Four distinct personality clusters were identified, namely the energy-poor (2.0%), self-domination (61.3%), optimistic (21.3%), and irritable (15.4%) groups. The prevalence of diabetes in these groups was 14.6%, 9.7%, 9.3%, and 11.6%, respectively. After adjusting for potential confounders, the "energy-poor group" exhibited more odds of having diabetes as compared to the "optimistic group" (AOR 1.683, 95%CI: 1.052-2.693; P=0.030).

Conclusion: This study identified an energy-poor group of individuals with a high risk of diabetes. Targeted interventions should consider the emotional and personality characteristics of the elderly.

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中国老年人糖尿病与人格特征的相关性:一项潜在类别分析。
背景:本研究旨在通过潜在类别分析来识别不同性格的个体,并进一步区分不同人群中糖尿病高危人群。方法:数据来自2018年在中国23个省份进行的大规模横断面流行病学调查,采用多阶段分层抽样技术。基于一系列与生活态度有关的变量,进行了潜在类别聚类分析,以识别不同的人格聚类。在控制了潜在的混杂变量(包括年龄、性别、体重指数、吸烟状况、饮酒量、高血压和体育活动水平)后,使用Logistic回归计算调整后的比值比(AORs),以确定这些组与糖尿病之间的关联。结果:确定了四个不同的人格集群,即能量贫乏组(2.0%)、自我支配组(61.3%)、乐观组(21.3%)和易怒组(15.4%)。这些组的糖尿病患病率分别为14.6%、9.7%、9.3%和11.6%。在调整了潜在的混杂因素后,与“乐观组”相比,“能量贫乏组”患糖尿病的几率更高(AOR 1.683,95%CI:1.052-2.693;P=0.030)。结论:本研究确定了一个能量贫乏的糖尿病高危人群。有针对性的干预措施应考虑到老年人的情绪和个性特征。
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来源期刊
CiteScore
4.10
自引率
5.60%
发文量
72
审稿时长
3 months
期刊介绍: Publishing outstanding articles from all fields of endocrinology and diabetology, from molecular biology to clinical research, this journal is a brilliant resource. Since being published in English in 1983, the popularity of this journal has grown steadily, reflecting the importance of this publication within its field. Original contributions and short communications appear in each issue along with reviews addressing current topics. In addition, supplementary issues are published each year presenting abstracts or proceedings of national and international scientific meetings. The journal was initially published in German and is still the oldest endocrinological periodical in the German-language market!
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