Evidence map›Paper›PMID 32499259›Full record

ArticleBMJ open2020

Mortality inequalities by occupational status and type of job in men and women: results from the Rome Longitudinal Study.

Lorenzo Paglione, Laura Angelici, Marina Davoli, Nera Agabiti, Giulia Cesaroni

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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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

16 citing papers in PubMed.

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  10. Sector of Employment and Mortality: A Cohort Based on Different Administrative Archives.International journal of environmental research and public health · 2023
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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

5 authors.

Lorenzo PaglioneDepartment of Civil, Constructional and Environmental Engineering, Sapienza University of Rome, Roma, Italy l.paglione@deplazio.it.ORCID 0000-0002-9481-4376
Laura AngeliciDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Roma, Italy.ORCID 0000-0003-3731-1606
Marina DavoliDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Roma, Italy.ORCID 0000-0003-4521-032X
Nera AgabitiDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Roma, Italy.ORCID 0000-0003-3385-1197
Giulia CesaroniDepartment of Epidemiology, Lazio Regional Health Service, ASL Roma 1, Roma, Italy.ORCID 0000-0001-7361-9072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSocioeconomic inequalities have a strong impact on population health all over the world. Occupational status is a powerful determinant of health in rich societies. We aimed at investigating the association between occupation and mortality in a large metropolitan study.

designCohort study.

settingRome, capital of Italy.

participantsWe used the Rome Longitudinal Study, the administrative cohort of residents in Rome at the 2001 general census, followed until 2015. We selected residents aged 15-65 years at baseline. For each subject, we had information on sex, age and occupation (occupational status and type of job) according to the Italian General Census recognition.

main outcome measuresWe investigated all-cause, cancer, cardiovascular and accidental mortality, major causes of death in the working-age population. We used Cox proportional hazards models to investigate the association between occupation and all-cause and cause-specific mortality in men and women.

resultsWe selected 1 466 726 subjects (52.1% women). 42 715 men and 29 915 women died during the follow-up. In men, 47.8% of deaths were due to cancer, 26.7% to cardiovascular causes and 6.4% to accidents, whereas in women 57.8% of deaths were due to cancer, 19.3% to cardiovascular causes and 3.5% to accidents. We found an association between occupational variables and mortality, more evident in men than in women. Compared with employed, unemployed had a higher risk of mortality for all causes with an HR=1.99 (95% CI 1.92 to 2.06) in men and an HR=1.49 (95% CI 1.39 to 1.60) in women. Compared with high-qualified non-manual workers, non-specialised manual workers had a higher mortality risk (HR=1.68, 95% CI 1.59 to 1.77 and HR=1.30, 95% CI 1.20 to 1.40, for men and women, respectively).

conclusionsThis study shows the importance of occupational variables as social health determinants and provides evidence for policy-makers on the necessity of integrated and preventive policies aimed at improving the safety of the living and the working environment.

Indexed as

MortalitySocioeconomic FactorsAccidents, OccupationalCardiovascular DiseasesCause of DeathCohort StudiesEmploymentFemaleHumansLongitudinal StudiesMaleNeoplasmsRomeSocial Determinants of HealthUrban Populationcohort studiesepidemiologyhealth inequalitiespublic health

Identifiers

PMID32499259
PMCPMC7282329

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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.