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

Pilot studies (non-ehealth) (114) Chronic Conditions (464) Electronic Health Records (1354) Secondary Use of Clinical Data for Research and Surveillance (483) Epidemiology (199)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69138, first published .
Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Prevalence of Multiple Chronic Conditions Among Adults in the All of Us Research Program: Exploratory Analysis

Authors of this article:

Xintong Li1 Author Orcid Image ;   Caitlin Dreisbach1, 2 Author Orcid Image ;   Carolina M Gustafson3 Author Orcid Image ;   Komal Patel Murali4 Author Orcid Image ;   Theresa A Koleck3 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Ferede Y, Erlandsson K, Gebrie M, Beshah D, Mohammed O, Azagew A, Westerbotn M. Global prevalence of multimorbidity among people living with type 2 diabetes: a systematic review and meta-analysis. BMC Public Health 2025;26(1) View
  2. Vorotynov Y, Kantemirova R, Serdyukov S, Rasteryaev A. Personalized Rehabilitation of Patients with Age-Associated Cardiovascular and Musculoskeletal Disorders. Russian Journal of Geriatric Medicine 2025;(4):488 View
  3. Wang Y, Dong Q, Fei Z, Hu Q, Lin Y, Shen J. The association between lung function and depression in middle-aged and elderly people: A real-world study. Medicine 2026;105(1):e46925 View
  4. Wang X, Xue M, Zheng F, Chang C, Dong X, Niu W. An explainable machine learning model for predicting depressive symptoms among Chinese older adults with chronic diseases. BMC Psychiatry 2026 View