Accessibility settings

This paper is in the following e-collection/theme issue:

Clinical Informatics in Low-Resource Settings and the Developing World (190) Decision Support for Health Professionals (2413) Depression and Mood Disorders; Suicide Prevention (2560) Information and Patient Education on Healthy Aging (128)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81529, first published .
Elderly man in wheelchair with blood pressure monitor and glucose meter

Development of a Practical Nomogram for Depression Risk Stratification in Older Adults With Hypertension and Diabetes: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study

Development of a Practical Nomogram for Depression Risk Stratification in Older Adults With Hypertension and Diabetes: Retrospective Analysis of Data From the China Health and Retirement Longitudinal Study

Authors of this article:

Ting Peng1 Author Orcid Image ;   Ying Zhang1 Author Orcid Image ;   Rujia Miao1 Author Orcid Image ;   Jiangang Wang1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Zhang X, Tan J, Xiao M, He Y, Tang S. Machine learning-based identification of depression in older patients with type 2 diabetes mellitus: A multicenter retrospective study. Science Progress 2026;109(4) View