Evidence map›Paper›PMID 35027592›Full record

ArticleScientific reports2022

Physical exertion at work and addictive behaviors: tobacco, cannabis, alcohol, sugar and fat consumption: longitudinal analyses in the CONSTANCES cohort.

Nadine Hamieh, Alexis Descatha, Marie Zins, Marcel Goldberg, Sébastien Czernichow, Nicolas Hoertel, Marie Plessz, Yves Roquelaure, Frédéric Limosin, Cédric Lemogne and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  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 at 6 institutions in 1 country.

Nadine HamiehINSERM, Population-Based Epidemiological Cohorts Unit, UMS 011, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif, France. nadine.hamieh@inserm.fr.
Alexis DescathaPoison Control Center, Academic Hospital CHU Angers, F-49000, Angers, France.
Marie ZinsINSERM, Population-Based Epidemiological Cohorts Unit, UMS 011, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif, France.
Marcel GoldbergINSERM, Population-Based Epidemiological Cohorts Unit, UMS 011, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif, France.
Sébastien CzernichowUniversité de Paris, AP-HP, Hôpital européen Georges-Pompidou, Service de Nutrition, Paris, France.
Nicolas HoertelUniversité de Paris, AP-HP, Hôpital Corentin-Celton, DMU Psychiatrie et Addictologie, Service de psychiatrie et d'addictologie de l'adulte et du sujet âgé, Issy-les-Moulineaux, INSERM, Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, Paris, France.
Marie PlesszINRAE, Centre Maurice Halbwachs (ENS, EHESS, CNRS) UMR 8097, Paris, France.
Yves RoquelaurePoison Control Center, Academic Hospital CHU Angers, F-49000, Angers, France.
Frédéric LimosinUniversité de Paris, AP-HP, Hôpital Corentin-Celton, DMU Psychiatrie et Addictologie, Service de psychiatrie et d'addictologie de l'adulte et du sujet âgé, Issy-les-Moulineaux, INSERM, Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, Paris, France.
Cédric LemogneUniversité de Paris, AP-HP, Hôpital Hôtel-Dieu, DMU Psychiatrie et Addictologie, Service de Psychiatrie de l'adulte, INSERM, Institut de Psychiatrie et Neurosciences de Paris (IPNP), UMR_S1266, Paris, France.
Joane Matta *INSERM, Population-Based Epidemiological Cohorts Unit, UMS 011, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif, France.
Guillaume Airagnes *INSERM, Population-Based Epidemiological Cohorts Unit, UMS 011, 16 Avenue Paul Vaillant Couturier, 94807, Villejuif, France.
Centre de recherche en Epidémiologie et Santé des Populations · FRInserm · FRAssistance Publique – Hôpitaux de Paris · FRInstitut de Psychiatrie et Neurosciences de Paris · FRCentre Hospitalier Universitaire d'Angers · FRÉcole des hautes études en sciences sociales · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the prospective association of physical exertion at work with subsequent tobacco, cannabis, alcohol use, and sugar and fat consumption. Volunteers of the French population-based CONSTANCES cohort currently employed were included from 2012 to 2017 for tobacco and cannabis outcomes (n = 100,612), and from 2012 to 2016 for alcohol and sugar and fat outcomes (n = 75,414). High level of physical exertion at work was defined as a score ≥ 12 at the Rating Perceived Exertion Borg scale. Substance use was self-reported and diet rich in sugar and fat was obtained from principal component analysis and analyzed as quartiles. Generalized linear models computed odds of substance use and sugar and fat consumption at follow-up according to baseline physical exertion at work, while adjusting for sociodemographic factors, depressive symptoms and baseline level of consumption. High physical exertion was associated with tobacco use with dose-dependent relationships. It was also associated with increased odds of cannabis use at least once per month compared to no use in the past and with increased odds of diet rich in sugar and fat. Hence, the role of physical exertion at work on tobacco and cannabis use and diet rich in sugar and fat should be tackled for information and prevention strategies.

Indexed as

Alcoholic BeveragesCannabisDietary FatsFeeding BehaviorOccupational HealthPhysical ExertionSugarsAdolescentAdultBehavior, AddictiveFemaleFranceHumansLongitudinal StudiesMaleMiddle AgedDietary FatsSugars

Identifiers

PMID35027592
PMCPMC8758679
OpenAlexW4206738264

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.