Evidence map›Paper›PMID 39699467›Full record

ArticleRevista de saude publica2024

Patterns of self-rated health trajectories and associated factors in ELSA-Brasil.

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

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Work-family conflict and self-rated health trajectories among ELSA-Brasil workers: the moderating role of education.Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Camila Arantes Ferreira Brecht D'OliveiraMinistério da Saúde. Secretaria de Vigilância em Saúde e Ambiente. Departamento de Análise Epidemiológica e Vigilância de Doenças Crônicas Não Transmissíveis. Brasília, DF, Brasil.ORCID http://orcid.org/0000-0002-7456-885X
Daniela Polessa PaulaInstituto Brasileiro de Geografia e Estatística. Escola Nacional de Ciências Estatísticas. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-0576-7361
Aline Silva-CostaUniversidade Federal do Triângulo Mineiro. Instituto de Ciências da Saúde. Departamento de Saúde Coletiva. Uberaba, MG, Brasil.ORCID http://orcid.org/0000-0003-1753-3922
Odaleia Barbosa de AguiarUniversidade do Estado do Rio de Janeiro. Instituto de Nutrição. Departamento de Nutrição Aplicada. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-9951-042X
Lidyane V CameloUniversidade Federal de Minas Gerais. Faculdade de Medicina. Departamento de Medicina Preventiva e Social. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0001-7471-7547
Ana Luísa PatrãoUniversidade do Porto. Faculdade de Psicologia e de Ciências da Educação. Centro de Psicologia da Universidade do Porto. Porto, Portugal.ORCID http://orcid.org/0000-0002-2027-5461
Maria de Jesus Mendes da FonsecaFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Epidemiologia e Métodos Quantitativos. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-5319-5513
Rosane Härter GriepFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Educação em Ambiente e Saúde. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-6250-2036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To describe patterns of self-rated health (SRH) trajectories and investigate their association with sociodemographic, occupational, and health factors. 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. 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, mixed-race, 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. Adverse socioeconomic and occupational conditions, as well as unhealthy lifestyle and comorbidities were associated with worse SRH patterns of trajectories.

Indexed as

Socioeconomic FactorsAdultAgedBrazilDiagnostic Self EvaluationFemaleHealth StatusHumansLongitudinal StudiesMaleMiddle AgedRisk FactorsSelf ReportSociodemographic Factors

Identifiers

PMID39699467
PMCPMC11655056

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.