Current practices and perceived implementation barriers for working with alcohol prevention in occupational health services: the WIRUS OHS study

Thørrisen, Mikkel Magnus; Skogen, Jens Christoffer; Kjeken, Ingvild; Jensen, Iréne; Wågø, Randi

doi:10.1186/s13011-019-0217-2

Cited by 14 publications

(23 citation statements)

References 59 publications

(68 reference statements)

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“…The present study used cross-sectional data collected between 2014 and 2018, and reported by employees from the private and public Norwegian workforce. Other results from the WIRUS project are published elsewhere [26–31].…”

Section: Methodsmentioning

confidence: 99%

Who reported having a high-strain job, low-strain job, active job and passive job? The WIRUS Screening study

Bonsaksen¹,

Thørrisen²,

Skogen³

et al. 2019

PLoS ONE

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ObjectiveThe Job Demands and Control model classifies job types as active, passive, low-strain or high-strain, based on a combination of job demands and control. While studies have shown high-strain jobs to have adverse consequences for health and work participation, prognostic factors for the four job types have been less explored. The aim of this study was to assess the associations between sociodemographic factors and job descriptors and being in high-strain, low-strain, active and passive jobs.MethodsThe WIRUS Screening study targeted Norwegian employees in private and public enterprises. In this study, associations with job types among 4,487 employees were investigated with binary logistic regression analyses, adjusting for sociodemographic and job-related variables.ResultsIn fully adjusted models, high-strain job was associated with female gender; lower education; shift work; and doing work outside the workplace. Low-strain job was associated with opposite scores on the same variables, and with lower job position. Active job was associated with lower age; female gender; higher levels of education; higher job position level; shift work; and not doing work outside the workplace. Passive job was associated with opposite scores on the same variables.ConclusionsThe study corroborates the role gender and education have for experiencing the job, and expands on existing knowledge on the role of job position and irregular working hours and spaces. By identifying factors associated with job types, the prevention of health problems and work disability may become be more targeted.

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Section: Methodsmentioning

confidence: 99%

Who reported having a high-strain job, low-strain job, active job and passive job? The WIRUS Screening study

Bonsaksen¹,

Thørrisen²,

Skogen³

et al. 2019

PLoS ONE

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“…Data for the current study was obtained from the alcohol screening component of WIRUS project. More details and other results from the WIRUS can be found elsewhere [19][20][21][22][23][24].…”

Section: Design and Settingmentioning

confidence: 99%

Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian WIRUS screening study

et al. 2019

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Background: For alcohol, the association with socioeconomic status (SES) is different than for other public health challengesthe associations are complex, and heterogeneous between socioeconomic groups. Specifically, the relationship between alcohol consumption per se and adverse health consequences seems to vary across SES. This observation is called the 'alcohol harm paradox'. This study aims to describe different patterns of alcohol use and potential problems. Next, the associations between subgroups characterized by different patterns of alcohol use and potential problems, and age, gender, educational level, full-time employment, occupational level and income is analysed. Methods: Employing data from the ongoing cross-sectional WIRUS-study, N = 4311 participants were included in the present study. Individual response patterns of the ten-item Alcohol Use Disorders Identification Test (AUDIT) were analysed and latent class analysis (LCA) was used to identify latent groups. Next, the associations between the classes identified in the best fitting LCA-model and sociodemographic factors were analysed and presented. Results: We identified three classes based on the response patterns on AUDIT. Class 1 was characterised by lowlevel alcohol consumption and very low probability of negative alcohol-related consequences related to their alcohol consumption. Class 2 was characterised by a higher level of consumption, but despite this, class 2 also had a relatively low probability of reporting negative alcohol-related consequences. Class 3, however, was characterised by high levels of alcohol consumption, and a high probability of reporting negative consequences of their consumption. The classes identified were systematically differentially associated with the included measures of SES, with class 3 characterised by younger age, more males and lower educational attainment. Conclusions: Our findings highlight the interconnectedness of alcohol consumption and alcohol-related consequences. Furthermore, the identified classes and SES yields further insights into to intricate relationship between various socioeconomic factors, alcohol use patterns and related negative consequences.

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“…Data for the current study was obtained from the alcohol screening component in the WIRUS project. More details and other results from the WIRUS project are published elsewhere (Aas et al, 2017; Nordaune et al, 2017; Thørrisen et al, 2018, 2019a,b; Skogen et al, 2019).…”

Section: Methodsmentioning

confidence: 99%

Effort-Reward Imbalance Is Associated With Alcohol-Related Problems. WIRUS-Screening Study

et al. 2019

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There is ample evidence of associations between a perceived stressful working environment and several health-related outcomes. To better understand potential mechanisms behind these observations some studies have focused on the relationship between effort-reward imbalance at work and alcohol consumption. So far, the findings have been inconsistent. One reason for this inconsistency might come from the focus on alcohol consumption per se, while disregarding other aspects such as adverse consequences related to the consumption of alcohol. The aim of the present study was to explore associations between perceived effort and reward, effort-reward imbalance and overcommitment, and alcohol-related problems. Using data from the alcohol screening component in the Norwegian WIRUS-project (N = 5,080), we ascertained the perceived effort, reward, effort-reward imbalance (ERI) and overcommitment using the effort-reward imbalance questionnaire. Alcohol-related problems was determined using a cut-off ≥8 on the Alcohol Use Disorder Identification Test (AUDIT). Associations were estimated using crude and adjusted logistic regression models. Covariates were age, gender and education. We found associations between different aspects of ERI and overcommitment, and alcohol-related problems. Specifically, the main analysis indicated that there was an increased odds for alcohol-related problems among those who reported high levels of ERI in conjunction with high overcommitment [adjusted OR: 1.40 (CI 95% 1.10–1.78)] compared to those with low levels of ERI and low overcommitment. Our findings suggest that ERI and overcommitment is associated with increased likelihood of alcohol-related problems. These findings indicate that individual and work-related factors should be taken into account collectively when aiming to determine the impact of psychosocial work environment on alcohol-related problems. Due to the cross-sectional nature of the present study, we are not able to determine the direction of the associations, and future studies should aim to investigate this.

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Current practices and perceived implementation barriers for working with alcohol prevention in occupational health services: the WIRUS OHS study

Cited by 14 publications

References 59 publications

Who reported having a high-strain job, low-strain job, active job and passive job? The WIRUS Screening study

Who reported having a high-strain job, low-strain job, active job and passive job? The WIRUS Screening study

Sociodemographic characteristics associated with alcohol consumption and alcohol-related consequences, a latent class analysis of The Norwegian WIRUS screening study

Effort-Reward Imbalance Is Associated With Alcohol-Related Problems. WIRUS-Screening Study

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