Results of Binary Logistic Regression Analysis.

<div><p>Objective</p><p>Compared with those without such impairment, middle-aged and older adults with sensory impairment (SI) demonstrate a greater prevalence and severity of depressive symptoms, significantly affecting their mental health. We aimed to develop and validate a...

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Bibliographic Details
Main Author:	Mengzhen Qin (18610312) (author)
Other Authors:	Mengyuan Qiao (17449479) (author), Yuying Dong (5495438) (author), Haiyan Wang (25821) (author)
Published:	2025
Subjects:	Medicine Biotechnology Developmental Biology Mental Health Mathematical Sciences not elsewhere classified nighttime sleep duration least absolute shrinkage identify predictor variables demonstrated good consistency pension insurance status retirement longitudinal study binary logistic regression 800 ), respectively public health policy 783 – 0 755 – 0 xlink "> data xlink "> compared 2018 china health functional impairment status acceptable predictive model xlink "> china health marital status study presents regression analysis 05 ), rated health mental health predictive performance predictive models subsequently developed significantly affecting sensory impairment selection operator randomly partitioned potential applications older adults line graph life satisfaction including sex identified predictors greater prevalence elderly individuals elderly adults education level developing depression depressive symptoms depression risk dependent variable ci </ calibration plots actual observations 3 ratio
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Results of Binary Logistic Regression Analysis.

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