2012-09-01 12:00 - Messages

A structural equation modeling approach to fatigue-related risk factors for occupational injury

Occupational injury is associated with numerous individual and work-related risk factors, including long working hours and short sleep duration; however, the complex mechanisms causing such injuries are not yet fully understood. The authors used structural equation modeling (SEM) as a novel approach to examine fatigue-related direct and indirect potential risk factors for occupational injury. The study sample contained 89,366 employed workers from the National Health Interview Survey (pooled across 6 years, 2004-2009), an annual survey of a representative cross-sectional sample of the US population. Direct and indirect effects of weekly hours worked and usual sleep duration on occupational injuries were modeled using SEM procedures for dichotomous outcomes and a complex sampling design. Confounding and mediating effects of gender, age, race/ethnicity, occupation, industry, type of pay, body mass index (BMI), and psychological distress were simultaneously examined. Long working hours and short sleep duration independently increased the risk of injury. Additional direct risk factors were gender, occupation, type of pay, and BMI. At the same time, sleep duration mediated the adverse relations of long working hours, high psychological distress, and high BMI with injury. These findings indicate that SEM is a useful approach with which to examine dichotomous outcomes and indirect effects in complex samples, and it offers a comprehensive new model of injury prediction.

Source : Arlinghaus A, Lombardi DA, Willetts JL, Folkard S, Christiani DC. Am. J. Epidemiol. 2012; ePub(ePub): ePub. http://dx.doi.org/10.1093/aje/kws219

Prevention-focussed consideration of case in OHS

A consideration of the natural characteristics of causation in OHS has identified three functional domains into which OHS cases should be routinely separated for the purposes of statistical evaluation and prevention action. These domains are the OCCUPATIONAL INJURY(SAFETY) domain, the OCCUPATIONAL DISEASE domain, and the PUBLIC HEALTH INFLUENCE domain. The separation of OHS cases by these three domains and the reporting of their separate rate data have the potential to greatly enhance the effectiveness of prevention initiatives because of the substantially different contribution to outcome within each domain made by factors such as hazard, hazard energy, exposure profile through time, individual susceptibility, and public health influence.

Such a separation should also be valuable for researchers using analysis of variance and hypothesis testing to objectively document the influences responsible for the OHS performance difference between industries (or occupations). It is also noted that the three domains align with the associations of OHS professional disciplines, the membership of which provides a valuable resource of ethically committed individuals whose technical knowledge within their discipline has been formally accredited through education, practice and certification benchmarks.

Source : http://www.sia.org.au/journals/Default.aspx?abstract=vol3iss1-pp1-8

Incidence and cost of depression after occupational injury

OBJECTIVES: We examined if injured workers were more likely than noninjured workers to be treated for depression after an occupational injury and estimated the cost paid by group medical insurance. METHOD: Nearly 367,900 injured and noninjured workers were drawn from the 2005 Thomson Reuters MarketScan data. Descriptive, logistic, and two-part model regression analyses were used. RESULTS: The odds of injured workers being treated for depression within the study period were 45% higher than those of noninjured workers (95% confidence interval, 1.17-1.78). The unconditional average cost of outpatient depression treatment was 63% higher for injured workers than for noninjured workers. CONCLUSIONS: Injured workers were more likely than noninjured workers to suffer from depression during the study period. Consequently, additional costs are incurred for treating injured workers' depression; these costs were not covered by the workers' compensation system.

Source : Asfaw A, Souza K. Incidence and cost of depression after occupational injury . J. Occup. Environ. Med. 2012; ePub http://dx.doi.org/10.1097/JOM.0b013e3182636e29

Statistiques AT-MP 2011 de l'Assurance maladie : les chiffres de la sinistralité

L'Assurance maladie – Risques professionnels a rendu public les statistiques des accidents du travail et des maladies professionnelles pour l'année 2011. On observe une très légère hausse du nombre d’accidents du travail. L'augmentation du nombre de maladies professionnelles se poursuit, les affections périarticulaires représentant à elles seules la majorité des nouveaux cas. Bien que le nombre des accidents de trajet progresse peu, le nombre des décès reste élevé et en forte progression.

Source : http://www.inrs.fr/accueil/header/actualites/statistiques-ATMP-2011.html

Les troubles musculosquelettiques liés au travail : portrait montréalais de surveillance des TMS indemnisés, 1998-2007

Inspiré de la démarche provinciale « TMS sous surveillance », ce portrait montréalais de surveillance des TMS indemnisés (TMSI), propose une série d'indicateurs à partir des données d'indemnisation de la CSST qui permet de dresser un portrait riche en informations sur les TMSI, incluant des analyses selon le sexe et l'âge, ainsi qu'un portrait sectoriel détaillé qui caractérise les TMSI selon le secteur d'activités économiques. Durant les dix années observées, 1998-2007, le nombre de nouveaux cas indemnisés de TMS ont diminué de 21%, alors que leur durée moyenne d'indemnisation a augmenté de 53,9 à 74,8 jours. On observe aussi que les TMSI n'ayant pas de jour indemnisé diminuent de 60%, ceux ayant une durée d'indemnisation de moins de 14 jours diminuent de 20% et ceux de très longue durée (91 jours et plus) augmentent du tiers. Par ailleurs, le taux de fréquence de TMSI montre que Montréal est la deuxième région où l'on trouve la seconde plus faible fréquence des travailleurs indemnisés en raison de TMSI, soit 12,5 travailleurs ETC pour 1000 en 2006.

Source : http://publications.santemontreal.qc.ca/uploads/tx_asssmpublications/978-2-89673-214-2.pdf

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