{"title":"中国社区老年心血管代谢疾病患者认知功能的潜在转变及预测因素","authors":"Yaqi Wang, Bowen Wan, Xueying Xu, Qingyun Lv, Yuan He, Jingwen Liu, Hairong Chang, Yue Zhao, Li Fu, Xiaoying Zang, Xiaonan Zhang","doi":"10.1002/gps.70144","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objectives</h3>\n \n <p>Despite the recognized heterogeneity of cognitive function in older adults and its propensity for transition, this phenomenon remains inadequately understood among older adults with cardiovascular metabolic diseases (CMD). We aimed to explore the latent profiles of cognitive function among older adults with CMD, along with the transition probabilities between profiles and associated predictors.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A cohort study including 2304 older adults with CMD was drawn from the Chinese Longitudinal Healthy Longevity Survey. Cognitive function assessments and covariate data were gathered in 2011, with cognitive function reassessed in 2014. Latent profile analysis was employed to explore the latent profiles of cognitive function at two time points, latent transition analysis to examine transition probabilities between profiles, and multinomial logistic regression to investigate predictive factors of profile transitions.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Latent profile analysis supported 3-profile model: normal cognitive function, mild cognitive impairment, and severe cognitive impairment. Over the 3-year period, the normal cognitive function profile exhibited greater stability, with probabilities of 0.834, while the mild cognitive impairment profile demonstrated a higher likelihood of transitioning to the normal cognitive function profile, with a probability of 0.630. Age, sleep duration, and social participation emerged as predictive factors of profile transitions.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Significant heterogeneity exists in cognitive function among older adults with CMD, characterized by three distinct profiles. Varied transition patterns and probabilities underscore the importance of identifying and intervening with individuals at elevated risk of negative transitions, potentially improving their cognitive function.</p>\n </section>\n </div>","PeriodicalId":14060,"journal":{"name":"International Journal of Geriatric Psychiatry","volume":"40 8","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Latent Transition and Predictors of Cognitive Function Among Community-Dwelling Chinese Older Adults With Cardiovascular Metabolic Diseases\",\"authors\":\"Yaqi Wang, Bowen Wan, Xueying Xu, Qingyun Lv, Yuan He, Jingwen Liu, Hairong Chang, Yue Zhao, Li Fu, Xiaoying Zang, Xiaonan Zhang\",\"doi\":\"10.1002/gps.70144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objectives</h3>\\n \\n <p>Despite the recognized heterogeneity of cognitive function in older adults and its propensity for transition, this phenomenon remains inadequately understood among older adults with cardiovascular metabolic diseases (CMD). We aimed to explore the latent profiles of cognitive function among older adults with CMD, along with the transition probabilities between profiles and associated predictors.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A cohort study including 2304 older adults with CMD was drawn from the Chinese Longitudinal Healthy Longevity Survey. Cognitive function assessments and covariate data were gathered in 2011, with cognitive function reassessed in 2014. Latent profile analysis was employed to explore the latent profiles of cognitive function at two time points, latent transition analysis to examine transition probabilities between profiles, and multinomial logistic regression to investigate predictive factors of profile transitions.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Latent profile analysis supported 3-profile model: normal cognitive function, mild cognitive impairment, and severe cognitive impairment. Over the 3-year period, the normal cognitive function profile exhibited greater stability, with probabilities of 0.834, while the mild cognitive impairment profile demonstrated a higher likelihood of transitioning to the normal cognitive function profile, with a probability of 0.630. Age, sleep duration, and social participation emerged as predictive factors of profile transitions.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Significant heterogeneity exists in cognitive function among older adults with CMD, characterized by three distinct profiles. Varied transition patterns and probabilities underscore the importance of identifying and intervening with individuals at elevated risk of negative transitions, potentially improving their cognitive function.</p>\\n </section>\\n </div>\",\"PeriodicalId\":14060,\"journal\":{\"name\":\"International Journal of Geriatric Psychiatry\",\"volume\":\"40 8\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2025-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Geriatric Psychiatry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/gps.70144\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Geriatric Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/gps.70144","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Latent Transition and Predictors of Cognitive Function Among Community-Dwelling Chinese Older Adults With Cardiovascular Metabolic Diseases
Objectives
Despite the recognized heterogeneity of cognitive function in older adults and its propensity for transition, this phenomenon remains inadequately understood among older adults with cardiovascular metabolic diseases (CMD). We aimed to explore the latent profiles of cognitive function among older adults with CMD, along with the transition probabilities between profiles and associated predictors.
Methods
A cohort study including 2304 older adults with CMD was drawn from the Chinese Longitudinal Healthy Longevity Survey. Cognitive function assessments and covariate data were gathered in 2011, with cognitive function reassessed in 2014. Latent profile analysis was employed to explore the latent profiles of cognitive function at two time points, latent transition analysis to examine transition probabilities between profiles, and multinomial logistic regression to investigate predictive factors of profile transitions.
Results
Latent profile analysis supported 3-profile model: normal cognitive function, mild cognitive impairment, and severe cognitive impairment. Over the 3-year period, the normal cognitive function profile exhibited greater stability, with probabilities of 0.834, while the mild cognitive impairment profile demonstrated a higher likelihood of transitioning to the normal cognitive function profile, with a probability of 0.630. Age, sleep duration, and social participation emerged as predictive factors of profile transitions.
Conclusions
Significant heterogeneity exists in cognitive function among older adults with CMD, characterized by three distinct profiles. Varied transition patterns and probabilities underscore the importance of identifying and intervening with individuals at elevated risk of negative transitions, potentially improving their cognitive function.
期刊介绍：
The rapidly increasing world population of aged people has led to a growing need to focus attention on the problems of mental disorder in late life. The aim of the Journal is to communicate the results of original research in the causes, treatment and care of all forms of mental disorder which affect the elderly. The Journal is of interest to psychiatrists, psychologists, social scientists, nurses and others engaged in therapeutic professions, together with general neurobiological researchers.
The Journal provides an international perspective on the important issue of geriatric psychiatry, and contributions are published from countries throughout the world. Topics covered include epidemiology of mental disorders in old age, clinical aetiological research, post-mortem pathological and neurochemical studies, treatment trials and evaluation of geriatric psychiatry services.
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