Evidence map›Paper›PMID 33677678›Full record

ArticleInternational archives of occupational and environmental health2021

Risk factors for sick leave in Brazilian oil industry workers.

Carolina Gomes da Silva Tolentino Gonçalves de Almeida, Annibal Muniz Silvany Neto, Rita de Cássia Pereira Fernandes

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In one paragraph

Article in International archives of occupational and environmental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Carolina Gomes da Silva Tolentino Gonçalves de AlmeidaHealth, Environment and Work Postgraduate Program, PPGSAT, Federal University of Bahia, Largo do Terreiro de Jesus, s/n. Centro Histórico, Salvador, Bahia, 40026-010, Brazil. carolinatolentino@yahoo.com.br.ORCID 0000-0003-3487-7970
Annibal Muniz Silvany NetoDepartment of Social and Preventive Medicine, School of Medicine, FMB, Federal University of Bahia, Largo do Terreiro de Jesus, s/n. Centro Histórico, Salvador, Bahia, 40026-010, Brazil.
Rita de Cássia Pereira FernandesHealth, Environment and Work Postgraduate Program, PPGSAT, Federal University of Bahia, Largo do Terreiro de Jesus, s/n. Centro Histórico, Salvador, Bahia, 40026-010, Brazil.
Universidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStudies point to a complex and multifactorial aetiology for sickness absence, but there is still insufficient evidence on how occupational and non-occupational risk factors contribute to this phenomenon. This study aimed to identify occupational and non-occupational factors related to sickness absence in oil industry workers, as well as their population attributable fractions (PAF).

methodsA retrospective cohort study of 2028 oil industry workers was conducted in the state of Bahia, Brazil, between January 1, 2012 and December 31, 2016. Study data were obtained from workers´ medical register. The dependent variable was the first event of sick leave for five or more days, and the independent variables were gender, age, years of work, type of work activity, level of education, work schedule, awkward working postures, body mass index, smoking, physical activity and alcohol consumption. Cox regression analysis identified risk factors to the outcome and PAF were calculated.

resultsBeing female (HR 1.79), being older (HR 1.44), non-graduated ones (HR 1.44), being of operational staff (HR 1.18), overweight (HR 1.13), obesity (HR 1.39), smoking (HR 1.61) and former smoking (HR 1.30) were risk factors for sickness absence in this cohort. Of all sickness absence in the study population, 6% could be attributed to overweight, 10% to obesity, and 8% to smoking.

conclusionTo prevent sick leave, we recommend programs focused on combating smoking and encouraging healthy habits, aiming at weight control and the prevention of chronic diseases. Population attributable fractions point that a universal approach, aimed at the total population will be more cost-effective than health promotion programmes restricted for high-risk populations.

Indexed as

AbsenteeismOil and Gas IndustryBrazilFemaleHumansKaplan-Meier EstimateMaleMiddle AgedRisk FactorsSick LeaveAbsenteeismMusculoskeletal diseasesOccupational healthOil industrySick leave

Identifiers

PMID33677678
OpenAlexW3134774044

What OpenQuestion holds

Textmetadata
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.