Evidence map›Paper›PMID 34866096›Full record

ArticleIndustrial health2022

Presenteeism among fruit farm workers in Northeast Brazil: cross-sectional study.

Vitória B Siqueira, Fernando M Carvalho

Open access · diamondAbstract read
In one paragraph

Article in Industrial health, 2022. 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
0.9field-weighted citation impact, top 20% 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, 3 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

2 authors at 2 institutions in 1 country.

Vitória B SiqueiraCollegiate of Nursing, Federal University of Vale do São Francisco, Brazil.
Fernando M CarvalhoDepartment of Social and Preventive Medicine, Federal University of Bahia, Brazil.
Universidade Estadual de Feira de Santana · BRUniversidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The scientific literature about presenteeism among farm workers is scarce. This study estimated the prevalence of and factors associated with presenteeism among paid fruit farm workers. A cross-sectional study investigated 340 paid employees of both sexes, aged 18 years or above, who worked during the 2019 irrigated fruit harvest in the municipality of Petrolina, Northeast Brazil. Information about sociodemographic characteristics, lifestyle, general health status, occupational characteristics, interpersonal work aspects, and the work environment's structural characteristics was collected in a structured questionnaire. Presenteeism was established when participants reported working one or more days during the previous season despite feeling ill or when injured. Cox regression was used to estimate prevalence ratios adjusted by sex, area of residence (urban or rural), employment contract (permanent or seasonal), satisfaction with management, participation in workplace decision-making, availability of on-site healthcare facilities, and on-site availability of sunscreen. The prevalence of presenteeism during the previous season was high: 58.2%. In the final multivariate model, the adjusted prevalence ratio was higher (≥1.20) among female workers (1.42), workers dissatisfied with management (1.28), and those for whom sunscreen was not available on site (1.61). The prevalence of presenteeism was high and associated with personal, work organizational, and workplace resources characteristics.

Indexed as

FarmersPresenteeismBrazilCross-Sectional StudiesFemaleFruitHumansMaleSurveys and QuestionnairesWorkplaceAgriculturalAgricultural workers’ diseasesCropsFruitPresenteeismWorking conditions

Identifiers

PMID34866096
PMCPMC9726604
OpenAlexW4200299488

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.