Academic Journal

Risk factors analysis of cognitive frailty among geriatric adults in nursing homes based on logistic regression and decision tree modeling

التفاصيل البيبلوغرافية
العنوان: Risk factors analysis of cognitive frailty among geriatric adults in nursing homes based on logistic regression and decision tree modeling
المؤلفون: Jing Gao, Dingxi Bai, Huan Chen, Xinyu Chen, Huan Luo, Wenting Ji, Chaoming Hou
المصدر: Frontiers in Aging Neuroscience, Vol 16 (2024)
بيانات النشر: Frontiers Media S.A., 2024.
سنة النشر: 2024
المجموعة: LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية: cognitive frailty, risk factors, logistic regression, decision tree, nursing homes, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
الوصف: ObjectiveTo investigate the risk factors associated with cognitive frailty among older adults in nursing homes using logistic regression and decision tree modeling, and to compare the predictive performance of these methods.MethodsA cross-sectional study was conducted involving 697 participants aged 60 and older residing in eight nursing homes in Sichuan province, China. Participants were recruited using convenience sampling. Data were collected through questionnaires administered to the older adults. Logistic regression and decision tree modeling were employed to construct models predicting cognitive frailty.ResultsLogistic regression analysis identified age, education degree, exercise, intellectual activities, number of chronic diseases, nutritional status, sleep quality, and depression as significant predictors of cognitive frailty (all p
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1663-4365
Relation: https://www.frontiersin.org/articles/10.3389/fnagi.2024.1485153/full; https://doaj.org/toc/1663-4365
DOI: 10.3389/fnagi.2024.1485153
URL الوصول: https://doaj.org/article/f8ab2d559aaf4582924d6c55ac263bfa
رقم الانضمام: edsdoj.f8ab2d559aaf4582924d6c55ac263bfa
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16634365
DOI:10.3389/fnagi.2024.1485153