Multimorbidity patterns and associated factors in a megacity

A cross-sectional study

Bibliographic Data

ID16779972
AuthorsRicardo Goes de Aguiar (0000-0002-8309-5919, Universidade de São Paulo), Daniela Simões (0000-0003-2034-5105, Escola Superior de Enfermagem de Santa Maria), Shamyr Castro (0000-0002-2661-7899, Universidade Federal do Ceará), Moisés Goldbaum (0000-0002-8049-7824, Universidade de São Paulo), Chester Luiz Galvão Cesar (0000-0002-6999-1506, Universidade de São Paulo), Rex Lucas (0000-0002-4408-8134, Instituto de Saúde)
Year2024
Volume58
Issue1
Pages26
Publication date2024-07-10
Open AccessYes
TypeARTICLE
VenueRevista de Saúde Pública (JOURNAL)
Journal identifiersISSN: 0034-8910 • E-ISSN: 0034-8910
PublisherUniversidade de São Paulo. Agência de Bibliotecas e Coleções Digitais (PUBLISHER)
DOI10.11606/s1518-8787.2024058006058
PMID39082597
OpenAlexW4401200751
LanguageEN
Citations received2
References cited6

OBJECTIVE: To identify empirical patterns of multimorbidity and quantify their associations with socioeconomic, behavioral characteristics, and health outcomes in the megacity of São Paulo. METHODS: This 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. RESULTS: The 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. CONCLUSION: The 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

Cross-sectional study · Economics · Environmental health · Geography · Mega · Megacity · Physics · Chronic Disease Management Strategies · Environmental Science · Health Promotion and Cardiovascular Prevention · Medicine · Primary Care and Health Outcomes

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Open DOIOpen Access