Evidence map›Paper›PMID 34579683›Full record

ArticleBMC public health2021

Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) participant's profile regarding self-rated health: a multiple correspondence analysis.

Thaís Lopes de Oliveira, Raquel Vasconcellos Carvalhaes de Oliveira, Rosane Harter Griep, Arlinda B Moreno, Maria da Conceição Chagas de Almeida, Ylva Brännström Almquist, Maria de Jesus Mendes da Fonseca

Abstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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  9. Racial inequities and biopsychosocial indicators in older adults.Revista latino-americana de enfermagem · 2022
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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

7 authors.

Thaís Lopes de OliveiraDepartment of Epidemiology and Quantitative Methods in health. National School of Public Health, Oswaldo Cruz Foundation, 1480, Manguinhos, Rio de Janeiro, RJ, 21041-210, Brazil.
Raquel Vasconcellos Carvalhaes de OliveiraClinical Epidemiology Laboratory, Evandro Chagas National Institute of Infectious Diseases (INI), Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Rosane Harter GriepLaboratory of Health and Environment Education, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.
Arlinda B MorenoDepartment of Epidemiology and Quantitative Methods in health. National School of Public Health, Oswaldo Cruz Foundation, 1480, Manguinhos, Rio de Janeiro, RJ, 21041-210, Brazil.
Maria da Conceição Chagas de AlmeidaGonçalo Moniz Institute, Oswaldo Cruz Foundation, Salvador, Brazil.
Ylva Brännström AlmquistDepartment of Public Health Sciences, Centre for Health Equity Studies (CHESS), Stockholm University, Stockholm, Sweden.
Maria de Jesus Mendes da FonsecaDepartment of Epidemiology and Quantitative Methods in health. National School of Public Health, Oswaldo Cruz Foundation, 1480, Manguinhos, Rio de Janeiro, RJ, 21041-210, Brazil. mariafonseca818@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSelf-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).

methodsCross-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).

resultsFor 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.

conclusionTo promote health, interventions should focus on reducing existing socioeconomic, race, and gender inequalities in Brazil.

Indexed as

Health PromotionWorkplaceAdultBrazilCross-Sectional StudiesFemaleHumansLongitudinal StudiesSocioeconomic FactorsHealth inequalityJob strainMultivariate analysisSelf-rated health

Identifiers

PMID34579683
PMCPMC8474707

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Registered trials

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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.