| Author | Oliveira, Thaís Lopes de | |
| Author | Oliveira, Raquel Vasconcellos Carvalhaes de | |
| Author | Griep, Rosane Harter | |
| Author | Moreno, Arlinda B. | |
| Author | Almeida, Maria da Conceição Chagas de | |
| Author | Almquist, Ylva Brännström | |
| Author | Fonseca, Maria de Jesus Mendes da | |
| Access date | 2021-12-17T17:12:27Z | |
| Available date | 2021-12-17T17:12:27Z | |
| Document date | 2021 | |
| Citation | OLIVEIRA, Thaís Lopes et al. Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) participant's profile regarding self-rated health: a multiple correspondence analysis. BMC public health, v. 21, n. 1, p. 1-9, 2021 | pt_BR |
| ISSN | 1471-2458 | pt_BR |
| URI | https://www.arca.fiocruz.br/handle/icict/50482 | |
| Language | eng | pt_BR |
| Publisher | BMC | pt_BR |
| Rights | open access | pt_BR |
| Title | Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) participant's profile regarding self-rated health: a multiple correspondence analysis | pt_BR |
| Type | Article | pt_BR |
| DOI | 10.1186/s12889-021-11760-2 | |
| Abstract | Background: Self-rated health (SRH) - one of the most common health indicators used to verify health conditions - can be influenced by several types of socioeconomic conditions, thereby reflecting health inequalities. This study aimed to evaluate the participant profiles regarding the association between self-rated health and social and occupational characteristics of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil).
Methods: Cross-sectional design, including 11,305 individuals. Self-rated health was categorized as good, fair, and poor. The relationship between socio-demographic, psychosocial work environment, health-related variables, and self-rated health was analyzed by multiple correspondence analysis (stratified by age: up to 49 years old and 50 years old or more).
Results: For both age strata, group composition was influenced by socioeconomic conditions. Poor SRH was related to lower socioeconomic conditions, being women, black self-declared race/ethnicity, being non-married/non-united, low decision authority, low skill discretion, and obesity.
Conclusion: To promote health, interventions should focus on reducing existing socioeconomic, race, and gender inequalities in Brazil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em saúde. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Epidemiologia Clínica. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Educação em Saúde e Meio Ambiente. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em saúde. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Gonçalo Moniz Institute. Salvador, BA, Brasil. | pt_BR |
| Affilliation | Stockholm University. Centre for Health Equity Studies. Department of Public Health Sciences. Stockholm, Sweden. | pt_BR |
| Affilliation | Fundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos em saúde. Rio de Janeiro, RJ, Brasil. | pt_BR |
| Subject | Health inequality | pt_BR |
| Subject | Job strain | pt_BR |
| Subject | Multivariate analysis | pt_BR |
| Subject | Self-rated health | pt_BR |
| xmlui.metadata.dc.subject.ods | 10 Redução das desigualdades | |
