Patterns of self-rated health trajectories and associated factors in ELSA-Brasil
DOI:
https://doi.org/10.11606/s1518-8787.2024058005580Keywords:
Health Trajectories, Self-rated Health, Latent Class Analysis, BrazilAbstract
OBJECTIVE: To describe patterns of self-rated health (SRH) trajectories and investigate their association with sociodemographic, occupational, and health factors. METHODS: The sample consisted of 7,738 active public servants from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), evaluated from 2008 to 2020. The patterns of SRH trajectories were obtained by eleven time points, using the latent class growth curve. A multinomial logistic model was used to test associations between the exposures and patterns of trajectories of SRH. RESULTS: Three patterns of trajectories of SRH were identified: i- good, ii- moderate, and iii- poor (29%, 61%, and 10% of the participants, respectively). Adjusted results showed that women, mixedrace, frequent work to family or family to work conflict were associated with a greater chance of poor pattern of trajectory of SRH, compared to good pattern. Besides, high school, low income, passive work, high strain, low social support, lack of time selfcare and leisure, overweight, obesity, unhealthy lifestyle, and the presence of comorbidities were associated with a greater chance of moderate and poor pattern of trajectory of SRH, when compared with a good pattern. CONCLUSION: Adverse socioeconomic and occupational conditions, as well as unhealthy lifestyle and comorbidities were associated with worse SRH patterns of trajectories.
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Copyright (c) 2024 Camila Arantes Ferreira Brecht D’Oliveira, Daniela Polessa Paula, Aline Silva-Costa, Odaleia Barbosa de Aguiar, Lidyane V. Camelo, Ana Luísa Patrão, Maria de Jesus Mendes da Fonseca, Rosane Härter Griep
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Conselho Nacional de Desenvolvimento Científico e Tecnológico
Grant numbers 304842/2022-2 -
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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Financiadora de Estudos e Projetos
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Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Grant numbers E-26/200.306/2023
