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Enregistrement W4211084567 · doi:10.1016/j.envint.2020.105746

The effect of exposure to long working hours on stroke: A systematic review and meta-analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury

2020· review· en· W4211084567 sur OpenAlex
Alexis Descatha, Grace Sembajwe, Frank Pega, Yuka Ujita, Michael Baer, Fabio Boccuni, Cristina Di Tecco, Clément Duret, Bradley Evanoff, Diana Gagliardi, Lode Godderis, Seong‐Kyu Kang, Beom Joon Kim, Jian Li, Linda L. Magnusson Hanson, Alessandro Marinaccio, Anna Ozguler, Daniela Vianna Pachito, John Pell, Fernando Pico, Matteo Ronchetti, Yves Roquelaure, Reiner Rugulies, Martijn Schouteden, Johannés Siegrist, Akizumi Tsutsumi, Sergio Iavicoli

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Notice bibliographique

RevueEnvironment International · 2020
Typereview
Langueen
DomaineHealth Professions
ThématiqueWorkplace Health and Well-being
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute for Occupational Safety and HealthAgence Nationale de la RechercheUniversity of California, San FranciscoMcMaster UniversityWorld Health Organization
Mots-clésMeta-analysisStroke (engine)Joint (building)Burden of diseaseMedicineSystematic reviewWork (physics)DiseaseEnvironmental healthEffect modificationPhysical medicine and rehabilitationGerontologyMEDLINEEngineeringConfidence intervalPathologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

The World Health Organization (WHO) and the International Labour Organization (ILO) are developing joint estimates of the work-related burden of disease and injury (WHO/ILO Joint Estimates), with contributions from a large network of individual experts. Evidence from mechanistic data and prior studies suggests that exposure to long working hours may cause stroke. In this paper, we present a systematic review and meta-analysis of parameters for estimating the number of deaths and disability-adjusted life years from stroke that are attributable to exposure to long working hours, for the development of the WHO/ILO Joint Estimates. We aimed to systematically review and meta-analyse estimates of the effect of exposure to long working hours (three categories: 41–48, 49–54 and ≥55 h/week), compared with exposure to standard working hours (35–40 h/week), on stroke (three outcomes: prevalence, incidence, and mortality). A protocol was developed and published, applying the Navigation Guide to systematic reviews as an organizing framework where feasible. We searched electronic databases for potentially relevant records from published and unpublished studies, including Ovid MEDLINE, PubMed, EMBASE, Scopus, Web of Science, CISDOC, PsycINFO, and WHO ICTRP. We also searched grey literature databases, Internet search engines, and organizational websites; hand-searched reference lists of previous systematic reviews; and consulted additional experts. We included working-age (≥15 years) individuals in the formal and informal economy in any WHO and/or ILO Member State but excluded children (aged < 15 years) and unpaid domestic workers. We included randomized controlled trials, cohort studies, case-control studies and other non-randomized intervention studies with an estimate of the effect of exposure to long working hours (41–48, 49–54 and ≥55 h/week), compared with exposure to standard working hours (35–40 h/week), on stroke (prevalence, incidence or mortality). At least two review authors independently screened titles and abstracts against the eligibility criteria at a first review stage and full texts of potentially eligible records at a second stage, followed by extraction of data from qualifying studies. Missing data were requested from principal study authors. We combined relative risks using random-effects meta-analysis. Two or more review authors assessed the risk of bias, quality of evidence and strength of evidence, using the Navigation Guide and GRADE tools and approaches adapted to this project. Twenty-two studies (20 cohort studies, 2 case-control studies) met the inclusion criteria, comprising a total of 839,680 participants (364,616 females) in eight countries from three WHO regions (Americas, Europe, and Western Pacific). The exposure was measured using self-reports in all studies, and the outcome was assessed with administrative health records (13 studies), self-reported physician diagnosis (7 studies), direct diagnosis by a physician (1 study) or during a medical interview (1 study). The outcome was defined as an incident non-fatal stroke event in nine studies (7 cohort studies, 2 case-control studies), incident fatal stroke event in one cohort study and incident non-fatal or fatal (“mixed”) event in 12 studies (all cohort studies). Cohort studies were judged to have a relatively low risk of bias; therefore, we prioritized evidence from these studies, but synthesised evidence from case-control studies as supporting evidence. For the bodies of evidence for both outcomes with any eligible studies (i.e. stroke incidence and mortality), we did not have serious concerns for risk of bias (at least for the cohort studies). Eligible studies were found on the effects of long working hours on stroke incidence and mortality, but not prevalence. Compared with working 35–40 h/week, we were uncertain about the effect on incidence of stroke due to working 41–48 h/week (relative risk (RR) 1.04, 95% confidence interval (CI) 0.94–1.14, 18 studies, 277,202 participants, I2 0%, low quality of evidence). There may have been an increased risk for acquiring stroke when working 49–54 h/week compared with 35–40 h/week (RR 1.13, 95% CI 1.00–1.28, 17 studies, 275,181participants, I2 0%, p 0.04, moderate quality of evidence). Compared with working 35–40 h/week, working ≥55 h/week may have led to a moderate, clinically meaningful increase in the risk of acquiring stroke, when followed up between one year and 20 years (RR 1.35, 95% CI 1.13 to 1.61, 7 studies, 162,644 participants, I2 3%, moderate quality of evidence). Compared with working 35–40 h/week, we were very uncertain about the effect on dying (mortality) of stroke due to working 41–48 h/week (RR 1.01, 95% CI 0.91–1.12, 12 studies, 265,937 participants, I2 0%, low quality of evidence), 49–54 h/week (RR 1.13, 95% CI 0.99–1.29, 11 studies, 256,129 participants, I2 0%, low quality of evidence) and 55 h/week (RR 1.08, 95% CI 0.89–1.31, 10 studies, 664,647 participants, I2 20%, low quality of evidence). Subgroup analyses found no evidence for differences by WHO region, age, sex, socioeconomic status and type of stroke. Sensitivity analyses found no differences by outcome definition (exclusively non-fatal or fatal versus “mixed”) except for the comparison working ≥55 h/week versus 35–40 h/week for stroke incidence (p for subgroup differences: 0.05), risk of bias (“high”/“probably high” ratings in any domain versus “low”/“probably low” in all domains), effect estimate measures (risk versus hazard versus odds ratios) and comparator (exact versus approximate definition). We judged the existing bodies of evidence for human evidence as “inadequate evidence for harmfulness” for all exposure categories for stroke prevalence and mortality and for exposure to 41–48 h/week for stroke incidence. Evidence on exposure to 48–54 h/week and ≥55 h/week was judged as “limited evidence for harmfulness” and “sufficient evidence for harmfulness” for stroke incidence, respectively. Producing estimates for the burden of stroke attributable to exposures to working 48–54 and ≥55 h/week appears evidence-based, and the pooled effect estimates presented in this systematic review could be used as input data for the WHO/ILO Joint Estimates. https://doi.org/10.1016/j.envint.2018.06.016. CRD42017060124.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,452
Score d'incertitude au seuil0,581

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0030,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,041
Tête enseignante GPT0,359
Écart entre enseignants0,318 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle