{"title":"Bidirectional relationship between diabetes mellitus and depression: Mechanisms and epidemiology.","authors":"Yun Liu, Shi-Yan Huang, De-Le Liu, Xin-Xing Zeng, Xiao-Rui Pan, Jie Peng","doi":"10.5498/wjp.v14.i10.1429","DOIUrl":null,"url":null,"abstract":"<p><p>Diabetes mellitus and depression exhibit a complex bidirectional relationship that profoundly impacts patient health and quality of life. This review explores the physiological mechanisms, including inflammation, oxidative stress, and neuroendocrine dysregulation, that link these conditions. Psychosocial factors such as social support and lifestyle choices also contribute significantly. Epidemiological insights reveal a higher prevalence of depression among diabetics and an increased risk of diabetes in depressed individuals, influenced by demographic variables. Integrated management strategies combining mental health assessments and personalized treatments are essential. Future research should focus on longitudinal and multi-omics studies to deepen understanding and improve therapeutic outcomes.</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11514559/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Electronic Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5498/wjp.v14.i10.1429","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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Abstract
Diabetes mellitus and depression exhibit a complex bidirectional relationship that profoundly impacts patient health and quality of life. This review explores the physiological mechanisms, including inflammation, oxidative stress, and neuroendocrine dysregulation, that link these conditions. Psychosocial factors such as social support and lifestyle choices also contribute significantly. Epidemiological insights reveal a higher prevalence of depression among diabetics and an increased risk of diabetes in depressed individuals, influenced by demographic variables. Integrated management strategies combining mental health assessments and personalized treatments are essential. Future research should focus on longitudinal and multi-omics studies to deepen understanding and improve therapeutic outcomes.
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