Evidence map›Paper›PMID 32571249›Full record

ArticleBMC psychiatry2020

Prevalence of somatic and psychiatric morbidity across occupations in Switzerland and its correlation with suicide mortality: results from the Swiss National Cohort (1990-2014).

M Schmid, L Michaud, N Bovio, I Guseva Canu, Swiss National Cohort (SNC)

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Suicide among transport industry workers: A systematic review and meta-analysis.Scandinavian journal of work, environment & health · 2022
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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 at 2 institutions in 1 country.

M SchmidCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Département Sante, Travail, Environnement (DSTE), Biopôle, Route de la Corniche, 2, 1066, Epalinges-Lausanne, Switzerland.
L MichaudPsychiatric Liaison Service, Lausanne University Hospital, Lausanne, Switzerland.
N BovioCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Département Sante, Travail, Environnement (DSTE), Biopôle, Route de la Corniche, 2, 1066, Epalinges-Lausanne, Switzerland.
I Guseva CanuCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Département Sante, Travail, Environnement (DSTE), Biopôle, Route de la Corniche, 2, 1066, Epalinges-Lausanne, Switzerland. irina.guseva-canu@unisante.ch.
Swiss National Cohort (SNC)
Centre universitaire de médecine générale et santé publique, Lausanne · CHUniversity of Lausanne · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 2365
6 · The paper itself

Abstract

backgroundSuicide is a major and complex public health problem. In Switzerland, suicide accounts for about 1000 deaths yearly and is the fourth leading cause of mortality. The first nationwide Swiss study of suicides identified eight male and four female occupations with statistically significant excess of suicide compared to the general Swiss population. Working time, self-employer status, low socio-economic status and low skill level required for occupation were associated with increase in suicide risk. Presently, we aim to compare the distribution of suicide risk across occupations with the prevalence of somatic and psychiatric morbidity in Swiss working-aged adults. We hypothesized that some diseases would cluster in particular occupations, indicating potential work-relatedness of suicides found in these occupations.

methodsWe used the Swiss National Cohort (SNC) and included 10575 males and 2756 females deceased by suicide between 1990 and 2014. We estimated the prevalence of 16 categories of concomitant diseases in each occupation, using national mortality records, and assessed the homogeneity of diseases distribution across occupations. For diseases, which prevalence varied significantly across occupations, we analyzed the correlation with the distribution of suicide risk, estimated as the standardized mortality ratio (SMR) of suicide.

resultsMental and behavioral disorders were the most commonly reported concomitant diseases in our population. In men, the prevalence of these disorders and more specifically, the prevalence of substance-related and addictive disorders, and of psychotic disorders varied significantly across occupations and was correlated with the SMR of suicide. The prevalence of malignant neoplasms and the prevalence of diseases of the musculoskeletal system and connective tissue also varied significantly across male occupations, while in women, such a variation was observed for neoplasms of uncertain or unknown behavior and diseases of the nervous system and sense organs, without being correlated with the SMR of suicide.

conclusionSome of the identified morbidities can be occupation-related and could negatively affect the working capacity and the employability, which in turn could be related to the suicide. Disentangling concomitant diseases according to their work-relatedness and relationship with the suicide risk is important for identifying occupation-related suicides, understanding their characteristics, and developing appropriated interventions for their prevention.

Indexed as

AdultCohort StudiesFemaleHumansMaleMental DisordersMiddle AgedMorbidityOccupationsPrevalenceSuicideSwitzerlandConcomitant diseaseOccupational exposurePsychosocial risk-factorsSuicideUnderreportingWork-relatedness

Identifiers

PMID32571249
PMCPMC7310107
OpenAlexW3036080295

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LicenceCC BY
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Registered trials

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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.