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。

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
{"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,&nbsp;Wanbao Ye,&nbsp;Meijuan Xiong,&nbsp;Kangkang Chen,&nbsp;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,&nbsp;Wanbao Ye,&nbsp;Meijuan Xiong,&nbsp;Kangkang Chen,&nbsp;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}
引用次数: 0

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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!
期刊最新文献
Polymorphism in the Drug Transporter Gene ABCB1 as a Potential Disease Modifier in Cortisol-Producing Adrenal Adenomas Activation of Follicle-Stimulating Hormone Receptor in Adrenal Zona Fasciculata Cells Promotes Cortisol Secretion: Implications for the Development of Menopause-Associated Diseases Obstructive sleep apnoea and type 1 diabetes mellitus: A neglected relationship? Association Between Liver Fibrosis Score and Diabetic Kidney Disease: A Retrospective Cross-Sectional Study of Hospitalized Patients Glycoprotein Non-Metastatic Protein B (GPNMB): The Missing Link Between Lysosomes and Obesity
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1