Alessandra T Andreacchi, Anne E Fuller, Peter M Smith, Alexandra Blair, Anne Harris, Nancy Carnide, Roman Pabayo, Brendan T Smith, Arjumand Siddiqi, Faraz Vahid Shahidi
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引用次数: 0
Abstract
Suicide, drug poisoning, and alcohol-attributable mortality (SDAM) - often labelled 'deaths of despair' - are increasing among working-aged individuals in many high-income countries. We examined the association between employment quality and SDAM in Canada. Census records from the 2006 Canadian Census Health and Environment Cohort (n=2,805,550) were linked to mortality data from 2006-2019. Latent class analysis identified five employment quality types: standard (secure and rewarding), portfolio (rewarding but demanding), marginal (limited hours and earnings), intermittent (sporadic and unstable), and precarious (insecure and unrewarding). Poisson regression models estimated sex/gender-stratified associations between employment quality type and suicide, drug poisoning, and alcohol-attributable deaths separately. We observed a consistent mortality gradient across employment quality groups, with lower-quality employment - and precarious employment in particular - associated with increased rates of SDAM relative to higher-quality (i.e., standard) employment. For example, precarious employment was associated with a more than threefold rate of drug poisoning deaths among women (RR: 3.58, 95% CI: 3.21-4.00) and a more than twofold rate of alcohol-attributable death among men (RR: 2.22, 95% CI: 2.07-2.38). Employment quality is an important determinant of SDAM, with varying associations by sex/gender. Improvements in employment conditions may help to reduce the burden of premature mortality attributable to suicide and substance use.
期刊介绍:
The American Journal of Epidemiology is the oldest and one of the premier epidemiologic journals devoted to the publication of empirical research findings, opinion pieces, and methodological developments in the field of epidemiologic research.
It is a peer-reviewed journal aimed at both fellow epidemiologists and those who use epidemiologic data, including public health workers and clinicians.