Sex-specific multimorbidity clusters and all-cause mortality among community-dwelling older adults: findings from the ASPREE cohort

Clicks: 37
ID: 330791
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #27 of 170 articles by views in the journals of gerontology series a, biological sciences and medical sciences

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 170 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Background Multimorbidity is common in older adults, but sex differences in chronic condition clustering remain unclear. This study explored multimorbidity clusters and their associations with all-cause mortality among community-dwelling adults aged 70 years and over. Methods This was a secondary analysis of data from 16,095 Australian ASPREE participants aged ≥70 years without prior dementia or cardiovascular disease. Fifteen baseline chronic conditions were grouped using latent class analysis (LCA). Observed-to-expected (O/E) ratios characterized conditions over-represented within clusters, and Cox proportional hazards models assessed associations with all-cause mortality. Results Among 16,095 participants (mean age 75.3 years), 88.3% had multimorbidity at baseline; 4,217 deaths occurred over a median follow-up of 10.85 years. Five clusters were identified overall: hypertension & dyslipidemia (52.1%), gout & metabolic (14.4%), depressive symptoms, osteoporosis & frailty (10.0%), anemia & kidney disease (10.2%), and hypotension, thyroid disorder & past cancer (13.3%). Sex-stratified analyses revealed three clusters in males and four in females. The frailty, depressive symptoms & osteoporosis cluster was associated with higher mortality in both sexes (aHR 1.56 [95% CI 1.40–1.73] in males; 1.68 [1.49–1.89] in females). Higher mortality was also observed for the metabolic, gout & kidney disease cluster in males (aHR 1.63 [1.47–1.81]) and the gout, anemia & kidney disease cluster in females (aHR 1.96 [1.74–2.21]). Conclusions Distinct multimorbidity clusters were identified overall and in sex-stratified analyses. These hypothesis-generating findings suggest the potential clinical utility of multimorbidity clusters to identify individuals at increased risk of death, but further research is needed.
Reference Key
openalex_W7215073129 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Rong Du, Swarna Vishwanath, Zimu Wu, Aung Zaw Zaw Phyo, Suzanne Gaye Orchard, Kerry M. Sheets, Michael E. Ernst, Joanne Ryan
Journal the journals of gerontology series a, biological sciences and medical sciences
Year 2026
DOI
10.1093/gerona/glag245
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.