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Dataset Information

Depression symptoms and cognitive impairment in older nursing home residents in the USA: A latent class analysis.


ABSTRACT:

Objectives

To identify subgroups of nursing home (NH) residents in the USA experiencing homogenous depression symptoms and evaluate if subgroups vary by cognitive impairment.

Methods

We identified 104 465 newly admitted, long-stay residents with depression diagnosis at NH admission in 2014 using the Minimum Data Set 3.0. The Patient Health Questionnaire-9 was used to measure depression symptoms and the Brief Interview of Mental Status for cognitive impairment (intact; moderately impaired; severely impaired). Latent class analysis (LCA) with logistic regression was used to: (a) construct the depression subgroups and (b) estimate adjusted odds ratios (aOR) and 95% confidence intervals (CI) of the associations between the subgroups and cognitive impairment level, adjusting for

SUBMITTER: Yuan Y 

PROVIDER: S-EPMC7552436 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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