{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T02:39:13Z","timestamp":1792463953735,"version":"4.5.0"},"reference-count":45,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000054","name":"National Cancer Institute at the National Institutes of Health","doi-asserted-by":"publisher","award":["U01AG029824"],"award-info":[{"award-number":["U01AG029824"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000054","name":"National Cancer Institute at the National Institutes of Health","doi-asserted-by":"publisher","award":["U19AG062682"],"award-info":[{"award-number":["U19AG062682"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,10,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This was a secondary analysis of data from 16\u2009095 Australian ASPREE participants aged \u226570 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among 16\u2009095 participants (mean age 75.3 years), 88.3% had multimorbidity at baseline; 4217 deaths occurred over a median follow-up of 10.85 years. Five clusters were identified overall: hypertension and dyslipidemia (52.1%), gout and metabolic (14.4%), depressive symptoms, osteoporosis, and frailty (10.0%), anemia and kidney disease (10.2%), and hypotension, thyroid disorder, and past cancer (13.3%). Sex-stratified analyses revealed 3 clusters in males and 4 in females. The frailty, depressive symptoms and osteoporosis cluster was associated with higher mortality in both sexes (adjusted hazard ratio [aHR] 1.56 [95% confidence interval (CI) 1.40-1.73] in males; 1.68 [1.49-1.89] in females). Higher mortality was also observed for the metabolic, gout and kidney disease cluster in males (aHR 1.63 [1.47-1.81]) and the gout, anemia and kidney disease cluster in females (aHR 1.96 [1.74-2.21]).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/gerona\/glag245","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T11:59:52Z","timestamp":1790769592000},"source":"Crossref","is-referenced-by-count":0,"title":["Sex-specific multimorbidity clusters and all-cause mortality among community-dwelling older adults: findings from the ASPREE cohort"],"prefix":"10.1093","volume":"81","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-3750-5666","authenticated-orcid":false,"given":"Rong","family":"Du","sequence":"first","affiliation":[{"name":"School of Public Health and Preventive Medicine, Monash University , Melbourne, 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Victoria,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suzanne G","family":"Orchard","sequence":"additional","affiliation":[{"name":"School of Public Health and Preventive Medicine, Monash University , Melbourne, Victoria,","place":["Australia"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3492-2404","authenticated-orcid":false,"given":"Kerry","family":"Sheets","sequence":"additional","affiliation":[{"name":"Geriatric Medicine Division, Department of Medicine, Hennepin Healthcare , Minneapolis, Minnesota,","place":["United States"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0267-4888","authenticated-orcid":false,"given":"Michael E","family":"Ernst","sequence":"additional","affiliation":[{"name":"Department of Pharmacy Practice and Science, College of Pharmacy, The University of Iowa , Iowa City, Iowa,","place":["United 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