📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Estimating causal effects of physical disability and number of comorbid chronic diseases on risk of depressive symptoms in an elderly Chinese population: a machine learning analysis of cross-sectional baseline data from the China longitudinal ageing social survey (2023)

First Author: Wang Z

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1136/bmjopen-2022-069298

PubMed Identifier: 37407052

Publication URI: http://europepmc.org/abstract/MED/37407052

Type: Journal Article/Review

Parent Publication: BMJ Open

Issue: 7

ISSN: 2044-6055