Ping Jiang, Yunfeng Gao, Lin Wang, Xiaojun Shao, Lei Zhang, Gang Zhu, Li Duan
{"title":"影响老年抑郁症患者认知功能的危险因素:范围综述。","authors":"Ping Jiang, Yunfeng Gao, Lin Wang, Xiaojun Shao, Lei Zhang, Gang Zhu, Li Duan","doi":"10.1002/brb3.70265","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>In recent years, cognitive impairment has emerged as a pivotal symptom in elderly patients with depression, exerting a substantial impact on the course and prognosis of diseases. Moreover, it persists even following remission from depression during the rehabilitation period. However, there remains an incomplete understanding of the relevant influencing factors for cognitive impairment in elderly depressed patients, which seriously impedes the development of risk prediction models and the subsequent research on precision intervention programs.</p><p><strong>Objective: </strong>The purpose of this study is to examine the current state of negative influencing factors and assessment tools for cognitive impairment in patients with late-life depression (LLD), thereby providing a theoretical framework for the construction of subsequent targeted intervention programs.</p><p><strong>Methods: </strong>The search strategy employed in this study followed an evidence-based approach, utilizing a systematic scoping review to thoroughly explore six English and four Chinese databases up until November 2023. Two researchers independently conducted article screening and employed thematic analysis to categorize the results into themes.</p><p><strong>Results: </strong>Following two rounds of rigorous screening conducted by the evidence-based research team, data were meticulously extracted and succinctly summarized from five distinct themes encompassing socio-demographic, physiological, psychological, genetic, and other related factors. In addition, a comprehensive compilation of 19 diverse assessment tools was undertaken. Ultimately, a total of 22 articles met the eligibility criteria for inclusion in this study. These comprised five longitudinal studies, nine pathological controlled studies, five cross-sectional studies, two cohort studies, and one randomized controlled study.</p><p><strong>Conclusion: </strong>Cognitive dysfunction is an important symptom of LLD, which seriously affects the survival of patients. At present, the research on its influencing factors mainly includes socio-demographic, physiological, psychological, genetic, and other related factors. There have been existing cognitive function assessment tools specifically for those 18- to 65-year-old patients of major depressive disorder, but there is still a lack of reliability and validity tests in LLD.</p>","PeriodicalId":9081,"journal":{"name":"Brain and Behavior","volume":"15 1","pages":"e70265"},"PeriodicalIF":2.6000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11726643/pdf/","citationCount":"0","resultStr":"{\"title\":\"Risk Factors Influencing Cognitive Function in Elderly Patients With Late-Life Depression: A Scoping Review.\",\"authors\":\"Ping Jiang, Yunfeng Gao, Lin Wang, Xiaojun Shao, Lei Zhang, Gang Zhu, Li Duan\",\"doi\":\"10.1002/brb3.70265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>In recent years, cognitive impairment has emerged as a pivotal symptom in elderly patients with depression, exerting a substantial impact on the course and prognosis of diseases. Moreover, it persists even following remission from depression during the rehabilitation period. However, there remains an incomplete understanding of the relevant influencing factors for cognitive impairment in elderly depressed patients, which seriously impedes the development of risk prediction models and the subsequent research on precision intervention programs.</p><p><strong>Objective: </strong>The purpose of this study is to examine the current state of negative influencing factors and assessment tools for cognitive impairment in patients with late-life depression (LLD), thereby providing a theoretical framework for the construction of subsequent targeted intervention programs.</p><p><strong>Methods: </strong>The search strategy employed in this study followed an evidence-based approach, utilizing a systematic scoping review to thoroughly explore six English and four Chinese databases up until November 2023. Two researchers independently conducted article screening and employed thematic analysis to categorize the results into themes.</p><p><strong>Results: </strong>Following two rounds of rigorous screening conducted by the evidence-based research team, data were meticulously extracted and succinctly summarized from five distinct themes encompassing socio-demographic, physiological, psychological, genetic, and other related factors. In addition, a comprehensive compilation of 19 diverse assessment tools was undertaken. Ultimately, a total of 22 articles met the eligibility criteria for inclusion in this study. These comprised five longitudinal studies, nine pathological controlled studies, five cross-sectional studies, two cohort studies, and one randomized controlled study.</p><p><strong>Conclusion: </strong>Cognitive dysfunction is an important symptom of LLD, which seriously affects the survival of patients. At present, the research on its influencing factors mainly includes socio-demographic, physiological, psychological, genetic, and other related factors. There have been existing cognitive function assessment tools specifically for those 18- to 65-year-old patients of major depressive disorder, but there is still a lack of reliability and validity tests in LLD.</p>\",\"PeriodicalId\":9081,\"journal\":{\"name\":\"Brain and Behavior\",\"volume\":\"15 1\",\"pages\":\"e70265\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11726643/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain and Behavior\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1002/brb3.70265\",\"RegionNum\":3,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain and Behavior","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1002/brb3.70265","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
Risk Factors Influencing Cognitive Function in Elderly Patients With Late-Life Depression: A Scoping Review.
Background: In recent years, cognitive impairment has emerged as a pivotal symptom in elderly patients with depression, exerting a substantial impact on the course and prognosis of diseases. Moreover, it persists even following remission from depression during the rehabilitation period. However, there remains an incomplete understanding of the relevant influencing factors for cognitive impairment in elderly depressed patients, which seriously impedes the development of risk prediction models and the subsequent research on precision intervention programs.
Objective: The purpose of this study is to examine the current state of negative influencing factors and assessment tools for cognitive impairment in patients with late-life depression (LLD), thereby providing a theoretical framework for the construction of subsequent targeted intervention programs.
Methods: The search strategy employed in this study followed an evidence-based approach, utilizing a systematic scoping review to thoroughly explore six English and four Chinese databases up until November 2023. Two researchers independently conducted article screening and employed thematic analysis to categorize the results into themes.
Results: Following two rounds of rigorous screening conducted by the evidence-based research team, data were meticulously extracted and succinctly summarized from five distinct themes encompassing socio-demographic, physiological, psychological, genetic, and other related factors. In addition, a comprehensive compilation of 19 diverse assessment tools was undertaken. Ultimately, a total of 22 articles met the eligibility criteria for inclusion in this study. These comprised five longitudinal studies, nine pathological controlled studies, five cross-sectional studies, two cohort studies, and one randomized controlled study.
Conclusion: Cognitive dysfunction is an important symptom of LLD, which seriously affects the survival of patients. At present, the research on its influencing factors mainly includes socio-demographic, physiological, psychological, genetic, and other related factors. There have been existing cognitive function assessment tools specifically for those 18- to 65-year-old patients of major depressive disorder, but there is still a lack of reliability and validity tests in LLD.
期刊介绍:
Brain and Behavior is supported by other journals published by Wiley, including a number of society-owned journals. The journals listed below support Brain and Behavior and participate in the Manuscript Transfer Program by referring articles of suitable quality and offering authors the option to have their paper, with any peer review reports, automatically transferred to Brain and Behavior.
* [Acta Psychiatrica Scandinavica](https://publons.com/journal/1366/acta-psychiatrica-scandinavica)
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* [Aggressive Behavior](https://publons.com/journal/3611/aggressive-behavior)
* [Brain Pathology](https://publons.com/journal/1787/brain-pathology)
* [Child: Care, Health and Development](https://publons.com/journal/6111/child-care-health-and-development)
* [Criminal Behaviour and Mental Health](https://publons.com/journal/3839/criminal-behaviour-and-mental-health)
* [Depression and Anxiety](https://publons.com/journal/1528/depression-and-anxiety)
* Developmental Neurobiology
* [Developmental Science](https://publons.com/journal/1069/developmental-science)
* [European Journal of Neuroscience](https://publons.com/journal/1441/european-journal-of-neuroscience)
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* [GLIA](https://publons.com/journal/1287/glia)
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* [Journal of Neuroimaging](https://publons.com/journal/6379/journal-of-neuroimaging)
* [Journal of Neuroscience Research](https://publons.com/journal/2778/journal-of-neuroscience-research)
* [Journal of Organizational Behavior](https://publons.com/journal/1123/journal-of-organizational-behavior)
* [Journal of the Peripheral Nervous System](https://publons.com/journal/3929/journal-of-the-peripheral-nervous-system)
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* [Neural Pathology and Applied Neurobiology](https://publons.com/journal/2401/neuropathology-and-applied-neurobiology)