Background Multimorbidity patterns is associated with future mortality among older adults. However, the addictive effect of disability for distinct multimorbidity patters is unclear. Our aim was to identify the multimorbidity patterns of Taiwanese people aged over 50 years and to explore their association between multimorbidity patterns with/without disability and future mortality. Methods This longitudinal cohort study used data from the Taiwan Longitudinal Study on Aging. The data were obtained from wave 3, and the multimorbidity patterns in 1996, 1999, 2003, 2007, and 2011 were analysed separately by latent class analysis (LCA). The association between each disease group with/without disability and mortality was examined using logistic regression. Results 5124 older adults with average age of 66.7 years old were included. Four disease patterns were identified in 1996, namely, the cardiometabolic (21.6%), arthritis-cataract (11.6%), relatively healthy (61.2%), and multimorbidity (5.6%) groups. After adjusting all the confounders, the cardiometabolic group with disability showed the highest risk for mortality (odds ratio: 2.83, 95% CI: 1.70-4.70), followed by Multimorbidity group with disability (odds ratio: 2.33, 95% CI: 1.17-4.64) and relatively health group with disability (odds ratio: 1.79, 95% CI: 1.22-2.62) and cardiometabolic group without disability (odds ratio: 1.21, 95% CI: 1.01-1.45). Conclusion This longitudinal study reveals disability plays an important role on mortality among older adults with distinct multimorbidity patterns. Older adults with a cardiometabolic multimorbidity pattern with disability had a dismal outcome. Thus, healthcare professionals should put more emphasis on the prevention and identification of cardiometabolic multimorbidity, with routine check-up of their functional limitation.

Background Multimorbidity has negative impacts on the health outcomes of older adults. Previous research has discovered different patterns of multimorbidity. However, evidence is scarce for associations between multimorbidity patterns and depression, especially the role of social participation in it. This study aimed to explore the relationship between multimorbidity patterns and depression among older adults in Taiwan and the effect of social participation in different multimorbidity patterns. Methods This population-based cohort study used data from the Taiwan Longitudinal Study on Aging. It included 1,975 older adults (age >50 years) who were followed from 1996 to 2011. The participants’ multimorbidity patterns in1996 were determined by latent class analysis; their incident depression was ascertained in 2011 by using the 10-item CES-D. Multivariate logistic regression was used to analyse the relationship between multimorbidity patterns and depression. Results In 1996, the participants’ average age was 62.1 years. Four multimorbidity patterns were discovered through latent class analysis, as follows: (1) Cardiometabolic group (n = 93), (2) Arthritis–cataract group (n = 105), (3) Multimorbidity group (n = 128), and (4) Relatively healthy group (n = 1649). After multivariate analysis, participants in the Multimorbidity group had a greater risk of incident depression (Odds ratio: 1.62; 95% Confidence interval: 1.02–2.58), compared with the Relatively healthy group. Subgroup analysis showed that participants without social participation in the Arthritis-Cataract and Multimorbidity groups had greater risks of developing depression. Conclusion This 16-year, population-based cohort study showed that distinct multimorbidity patterns among older adults in Taiwan were associated with incident depression during later life, while social participation played a role as protective factor.