Evidence map›Paper›PMID 33672106›Full record

ArticleInternational journal of environmental research and public health2021

Quality of Life and Associated Factors in Young Workers.

José Andrade Louzado, Matheus Lopes Cortes, Márcio Galvão Oliveira, Vanessa Moraes Bezerra, Sóstenes Mistro, Danielle Souto de Medeiros, Daniela Arruda Soares, Kelle Oliveira Silva, Clávdia Nicolaevna Kochergin, Vivian Carla Honorato Dos Santos de Carvalho and 2 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. 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. Nutritional Status and Quality of Life: Urban-Rural Disparities and the Impact of Obesity.International journal of environmental research and public health · 2024
    Article
  2. 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

12 authors.

José Andrade LouzadoMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.ORCID 0000-0003-4446-7051
Matheus Lopes CortesMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.ORCID 0000-0002-7804-7787
Márcio Galvão OliveiraMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.ORCID 0000-0001-5281-7889
Vanessa Moraes BezerraMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.
Sóstenes MistroMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.
Danielle Souto de MedeirosMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.
Daniela Arruda SoaresMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.
Kelle Oliveira SilvaMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.
Clávdia Nicolaevna KocherginMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.
Vivian Carla Honorato Dos Santos de CarvalhoMultidisciplinary Health Institute, Federal University of Bahia, Vitória da Conquista 45029094, Bahia, Brazil.ORCID 0000-0003-4000-0913
Welma Wildes AmorimDepartment of Natural Sciences, State University of Southwestern Bahia, Vitória da Conquista 45083900, Bahia, Brazil.ORCID 0000-0001-6964-892X
Sotero Serrate MengueGraduate Program in Epidemiology, School of Medicine, Federal University of Rio Grande do Sul, Porto Alegre 90035003, Rio Grande do Sul, Brazil.ORCID 0000-0002-3349-8541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit.

methodsThis was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level.

resultsMen and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as "very good" had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17-10.81), and those who rated it as "good" had an odds ratio of 2.9 (95% CI = 2.31-3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with "regular", "poor", or "very poor" self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08-1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05-1.66).

conclusionsIn the present study, self-rated health, physical activity, and gender were associated with young workers' quality of life.

Indexed as

ExerciseQuality of LifeCross-Sectional StudiesFemaleHealth StatusHumansMaleOdds RatioSocioeconomic FactorsSurveys and Questionnairescategories of workersmotor activityoccupational healthquality of life

Identifiers

PMID33672106
PMCPMC7926543

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.