Evidence map›Paper›PMID 37310938›Full record

ArticlePloS one2023

Determinants of socioeconomic factors for quality of life and depressive symptoms in community-dwelling older people: A cross-sectional study in Brazil and Portugal.

Larissa Silva Sadovski Torres, Adriana Catarina de Souza Oliveira, Mayara Priscilla Dantas Araújo, Maria Débora Silva de Carvalho, Lívia Batista da Silva Fernandes Barbosa, Bruno Araújo da Silva Dantas, Carmelo Sergio Gómez Martínez, Francisco Arnoldo Nunes de Miranda, Felismina Rosa Parreira Mendes, Gilson de Vasconcelos Torres

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 3 countries.

Larissa Silva Sadovski TorresHealth Sciences Center, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Adriana Catarina de Souza OliveiraFaculty of Nursing, Catholic University of Murcia, Murcia, Spain.
Mayara Priscilla Dantas AraújoHealth Sciences Center, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.ORCID 0000-0002-0611-2949
Maria Débora Silva de CarvalhoDepartment of Nursing, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Lívia Batista da Silva Fernandes BarbosaDepartment of Nursing, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Bruno Araújo da Silva DantasSchool of Health Sciences of Trairi, Federal University of Rio Grande do Norte, Santa Cruz, State of Rio Grande do Norte, Brazil.ORCID 0000-0002-7442-0695
Carmelo Sergio Gómez MartínezFaculty of Nursing, Catholic University of Murcia, Murcia, Spain.
Francisco Arnoldo Nunes de MirandaDepartment of Nursing and Graduate Program in Nursing, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Felismina Rosa Parreira MendesSão João de Deus School of Nursing, University of Évora, Évora, Portugal.
Gilson de Vasconcelos TorresCNPQ Researcher (PQ1D) and Department of Nursing, Federal University of Rio Grande do Norte, Natal, State of Rio Grande do Norte, Brazil.
Universidade Federal do Rio Grande do Norte · BRUniversidad Católica de Murcia · ESUniversity of Évora · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Our aim was to analyze the association between socioeconomic status and quality of life (QoL) among older people with depressive symptoms treated through the Primary Health Care (PHC) system in Brazil and Portugal. This was a comparative cross-sectional study with a nonprobability sample of older people in the PHC in Brazil and Portugal conducted between 2017 and 2018. To evaluate the variables of interest, the socioeconomic data questionnaire, the Geriatric Depression Scale and the Medical Outcomes Short-Form Health Survey were used. Descriptive and multivariate analyses were performed to test the study hypothesis. The sample consisted of n = 150 participants (Brazil n = 100 and Portugal n = 50). There was a predominance of woman (76.0%, p = 0.224) and individuals between 65 and 80 years (88.0%, p = 0.594). The multivariate association analysis showed that in the presence of depressive symptoms, the QoL mental health domain was most associated with the socioeconomic variables. Among the prominent variables, woman group (p = 0.027), age group 65-80 years (p = 0.042), marital status "without a partner" (p = 0.029), education up to 5 years (p = 0.011) and earning up to 1 minimum wage (p = 0.037) exhibited higher scores among brazilian participants. The portuguese participants showed an association between the general health status domain and woman group (p = 0.042) and education up to 5 years (p = 0.045). The physical functioning domain was associated with income of up to 1 minimum wage (p = 0.037). In these domains, the portuguese participants exhibited higher scores than the brazilian participants. We verified the association between socioeconomic profile and QoL in the presence of depressive symptoms, which occurred mainly among woman, participants with low levels of education and low income, with QoL aspects related to mental, physical and social health and self-perceived health. The group from Brazil had higher QoL scores than the group from Portugal.

Indexed as

DepressionQuality of LifeAgedAged, 80 and overBrazilCross-Sectional StudiesFemaleHumansIndependent LivingPortugalSocioeconomic Factors

Identifiers

PMID37310938
PMCPMC10263313
OpenAlexW4380537528

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.