Peisheng Xiong, Wanbao Ye, Meijuan Xiong, Kangkang Chen, Kai Xu
{"title":"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。","authors":"Peisheng Xiong, Wanbao Ye, Meijuan Xiong, Kangkang Chen, Kai Xu","doi":"10.1055/a-2148-9789","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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; <i>P</i>=0.030).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":12241,"journal":{"name":"Experimental and Clinical Endocrinology & Diabetes","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association Between Diabetes and Personality Traits Among the Elderly in China: A Latent Class Analysis.\",\"authors\":\"Peisheng Xiong, Wanbao Ye, Meijuan Xiong, Kangkang Chen, Kai Xu\",\"doi\":\"10.1055/a-2148-9789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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; <i>P</i>=0.030).</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":12241,\"journal\":{\"name\":\"Experimental and Clinical Endocrinology & Diabetes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Experimental and Clinical Endocrinology & Diabetes\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1055/a-2148-9789\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/8/4 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q4\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental and Clinical Endocrinology & Diabetes","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1055/a-2148-9789","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/8/4 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Association Between Diabetes and Personality Traits Among the Elderly in China: A Latent Class Analysis.
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.
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!