ArticleRevista de saude publica2024
Multimorbidity patterns and associated factors in a megacity: a cross-sectional study.
Article in Revista de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Demographic and socioeconomic factors associated with multiple morbidities at 40 years of age: the 1982 Pelotas (Brazil) birth cohort.Cadernos de saude publica · 2025Article
- The relationship between multimorbidity and cognitive function in older Chinese adults: based on propensity score matching.Frontiers in public health · 2024Article
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6 authors.
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Abstract
objectiveTo identify empirical patterns of multimorbidity and quantify their associations with socioeconomic, behavioral characteristics, and health outcomes in the megacity of São Paulo.
methodsThis was a cross-sectional study conducted through household interviews with residents aged 20 years or older in urban areas (n = 3,184). Latent class analysis was used to identify patterns among the co-existence of 22 health conditions. Age-adjusted prevalence ratios were estimated using Poisson regression.
resultsThe analysis of latent classes showed 4 patterns of multimorbidity, whereas 58.6% of individuals were classified in the low disease probability group, followed by participants presenting cardiovascular conditions (15.9%), respiratory conditions (12.8%), and rheumatic, musculoskeletal, and emotional conditions (12.8%). Older individuals, with lower schooling and lower household income, presented higher multimorbidity prevalence in cardiovascular, respiratory, rheumatic, musculoskeletal, and emotional conditions patterns compared with the low disease probability pattern.
conclusionThe results showed four distinct patterns of multimorbidity in the megacity population, and these patterns are clinically recognizable and theoretically plausible. The identification of trends between patterns would make it feasible to estimate the magnitude of the challenge for the organization of health care policies.
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