Association between psychosocial work conditions and latent alcohol consumption trajectories among men and women over a 16-year period in a national Canadian sample

2017 ◽  
Vol 72 (2) ◽  
pp. 113-120 ◽  
Author(s):  
Kathleen G Dobson ◽  
Selahadin Ibrahim ◽  
Mahée Gilbert-Ouimet ◽  
Cameron A Mustard ◽  
Peter M Smith

BackgroundIt is unclear how psychosocial working conditions influence future alcohol consumption. Using group-based trajectory modelling, this study aimed to determine: the number of latent alcohol consumption trajectories over 16 years in a representative sample of the Canadian workforce; the association between psychosocial working conditions and longitudinal alcohol consumption; and if the association between psychosocial work factors and longitudinal alcohol consumption differed among men and women.MethodsWe included 5458 employed adults from the longitudinal Canadian National Population Health Survey. Average daily alcohol consumption was measured every 2 years from 1994 to 2010. Psychosocial work factors were measured in 1994 using the Job Content Questionnaire. Group-based trajectory modelling was used to derive the appropriate number of alcohol behaviour trajectories. The association between psychosocial work factors and alcohol trajectory membership was estimated using multinomial logistic regression. Models were stratified by sex to determine if these associations differed among men and women.ResultsThree alcohol consumption trajectories were present: non-drinkers, light drinkers (0.5–1 drinks/day) and moderate drinkers (2–3 drinks/day). Higher workplace physical exertion and lower social support levels were associated with membership in the moderate drinking trajectory. Among men, lower psychological demands and higher physical exertion levels were associated with membership in the moderate drinking trajectory. Among women, lower levels of physical exertion were associated with membership in the light drinking trajectory, and higher psychological demand levels were associated with membership in the moderate drinking trajectory.ConclusionsOur study suggests that workplace physical exertion and psychological demands may be associated with different alcohol consumption trajectories among men and women.

Author(s):  
Emil Sundstrup ◽  
Sannie V. Thorsen ◽  
Reiner Rugulies ◽  
Mona Larsen ◽  
Kristina Thomassen ◽  
...  

Background: This study investigates the role of physical work demands and psychosocial work factors for early retirement among older workers. Methods: Data from three Danish surveys on work environment and health among employed older workers (age 55–59) were merged with a national register containing information on labour market participation. Robust Poisson regression modelled the risk ratios (RR) and 95% confidence intervals (CI) for the association between physical and psychosocial work factors and early retirement, that is, not working after the age of 64. Results: Of the 2800 workers, 53% retired early. High physical work demands (RR 1.33, 95%CI 1.19–1.48), poor overall psychosocial working conditions (RR 1.43, 95%CI 1.26–1.61), and access to early retirement benefits (RR 1.79, 95%CI 1.53–2.10) predicted early retirement. Subgroup analyses revealed that poor overall psychosocial working conditions were a stronger predictor for early retirement among workers with seated jobs than those with physically active jobs. Conclusions: High physical work demands and poor psychosocial working conditions are factors that can push older workers out of the labour market prematurely. Poor psychosocial working conditions seem to be a particularly strong push factor among workers with seated work.


2019 ◽  
Vol 76 (Suppl 1) ◽  
pp. A63.2-A63
Author(s):  
Ingrid Sivesind Mehlum ◽  
Therese N Hanvold ◽  
Lars Mehlum ◽  
Rachel L Hasting ◽  
Suzanne L Merkus ◽  
...  

ObjectivesPoor psychosocial working conditions are associated with increased risk of mental health disorders. Some studies suggest that work factors may also increase the risk of suicidal behaviour. However, these studies mostly measured suicidal ideation, rarely completed suicides, and hardly ever used longitudinal data. We aimed to examine the relationship between selected psychosocial work factors and death by suicide, as well as hospital treatment for intentional self-harm and similar diagnoses.MethodsData on all persons born in Norway 1967–1976, employed in 2007 (n=420,895), were retrieved from national registers. Binary psychosocial work exposures were obtained from a job-exposure matrix for job demands, job control and leader support. Based on these, we constructed job strain (high demands, low control), and isostrain (high demands, low control, low support) exposure variables. These were linked to occupation in 2007 (ISCO88 four-digit codes). We estimated associations (Risk Ratios, RRs) between the psychosocial work factors and four-year risk of intentional self-harm and suicide in binomial regression models, adjusted for year of birth, education level, marital history and current family pattern.ResultsDuring 2008–2011, 884 had diagnoses of intentional self-harm (annual rate 53 per 100,000; women 56, men 49), while 164 suicided (annual rate 9.7; women 4.5, men 14.5). Intentional self-harm was associated with all work factors, except job demands and leader support among men. Associations were strongest for high isostrain, adjusted RR 1.5 (95% confidence interval 1.2–1.7) and high job strain RR 1.3 (1.2–1.5), similar in women and men. Associations with suicide were positive only among men, with strongest associations for high job strain, RR 1.5 (1.0–2.1).ConclusionsPsychosocial work factors were associated with intentional self-harm in both sexes, but only in men for suicide. High isostrain and high job strain showed the strongest associations. Reasons other than a causal relationship cannot be excluded, particularly health selection.


Author(s):  
E. P. Kontorovich ◽  
Yu. Yu. Gorblyansky ◽  
O. P. Ponamareva

This study shows the relationships between the cognitive status of workers and their working conditions, including psychosocial work factors. For the early diagnosis of health disorders, one of the additional indicators is proposed - the determination of the cognitive status of blue-collar workers.


2010 ◽  
Author(s):  
M. Schoning ◽  
M. Berthelsen ◽  
J. O. Christensen ◽  
S. Elka ◽  
L. B. Finne ◽  
...  

2020 ◽  
Vol 77 (5) ◽  
pp. 309-315
Author(s):  
Aviroop Biswas ◽  
Kathleen G Dobson ◽  
Monique A M Gignac ◽  
Claire de Oliveira ◽  
Peter M Smith

ObjectivesThere is a paucity of longitudinal population-based studies examining whether changes in work factors are associated with concurrent changes in leisure time physical activity (LTPA). This study examines this issue using 12 years of longitudinal survey data.MethodsData were drawn from the Canadian National Population Health Survey. The initial analytical sample in 1994 of 6407 working individuals was followed every 2 years from 2000 to 2010. Seven work factors were measured as independent variables: skill discretion, decision authority, psychological demands, physical exertion, number of jobs, hours at work and shift schedule. LTPA was categorised as inactive, moderately active or active based on metabolic equivalent task values. Fixed-effects multinomial logistic models were used to examine associations between work factors and LTPA controlling for time-invariant effects and adjusted for covariates.ResultsWorkers with lower skill discretion (OR=0.96; 95% CI 0.92 to 0.99), higher psychological demands (OR=0.95; 95% CI 0.92 to 0.99), higher physical exertion (OR=0.93; 95% CI 0.88 to 0.99) and longer work hours (OR=0.97; 95% CI 0.95 to 098) were associated with a lower odds of transitioning from inactive to active and moderately active. There was no evidence of effect modification by age or sex.ConclusionResults suggest that as participants’ skill discretion decreased, and their physical and psychological demands, and work hours increased, their likelihood of becoming more active and moderately active also decreased, supporting the value of targeting improvements in these work factors for physical activity interventions.


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