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No association found between cardiovascular mortality, and job demands and decision latitude: experience from the
Mojgan Padyab1, Yulia Blomstedt2, Margareta Norberg2
1Center for Population Studies, Aging and Living Conditions Programme, Umeå University, SE-901 87, Umeå, Sweden.
Insights
Job demands and decision latitude did not predict cardiovascular disease (CVD) mortality in Northern Sweden. Conventional risk factors, particularly education, were stronger predictors of CVD mortality.
Area of Science:
- Occupational Health
- Cardiovascular Epidemiology
- Public Health
Background:
- Job strain, characterized by high demands and low decision latitude, is a potential contributor to cardiovascular disease (CVD).
- Understanding the interplay between occupational factors and conventional risk factors for CVD mortality is crucial for public health interventions.
Purpose of the Study:
- To investigate the association between job demands, decision latitude, and CVD mortality in a Northern Swedish cohort.
- To assess the modifying effect of conventional risk factors on the job strain-CVD mortality relationship.
Main Methods:
- Prospective cohort study using data from the Västerbotten Intervention Programme (Northern Sweden).
- Karasek's demand/control model defined baseline job characteristics.
- Cox proportional hazard modeling and Relative Excess Risk due to Interaction (RERI) were employed for statistical analysis.
Main Results:
- No significant association was found between job demands/decision latitude and CVD mortality.
- Conventional risk factors, especially education, emerged as stronger predictors of CVD mortality.
- Education differentials showed a significant association with CVD mortality, highlighting socioeconomic gradients.
Conclusions:
- Job strain was not a significant predictor of CVD mortality in this cohort.
- Education level is a critical socioeconomic factor influencing CVD mortality.
- Further research is needed to identify risk factors that can reduce the socioeconomic gradient in CVD mortality.
Abstract:
The current prospective study with the longest follow-up period in Northern Sweden aims to investigate the association between job demands and decision latitude and cardiovascular disease (CVD) mortality. Further, we aim to assess the effect of conventional risk factors (i.e., body mass index, alcohol consumption, physical activity, marital status, education and smoking) on the association between job demands and decision latitude and CVD mortality. The data originated from the Linnaeus database, available at the Center for Population Studies, Umeå University, Sweden. A cohort of men and women aged 40, 50 and 60 years were recruited from the Västerbotten Intervention Programme. Deaths due to stroke and myocardial infarction at the end of the follow up are considered the outcome. Baseline job characteristics were defined by the Swedish version of the Karasek demand/control model. Statistical methods include proportional Cox hazard modeling and Relative Excess Risk due to Interaction (RERI) to assess interactions. The findings from this study did not support the association between job demands and decision latitude and CVD mortality. Instead, conventional risk factors were found stronger predictors, most evidently education differentials were associated with CVD mortality. We know from previous research that the greater the attenuation of the gradient after adjustment for a given risk factor, the greater the potential to reduce educational inequality via interventions that target this factor. Based on the present findings of the experience in Västerbotten, further research is needed to identify other risk factors besides job strain and its components that would reduce the socioeconomic gradient in CVD mortality.
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