The contribution of health behaviours to occupational class inequalities in cardiovascular disease: a longitudinal study of Finnish municipal employees
Pietilainen, O.; Vahasarja, L.; Etholen, A.; Teppo, E.; Boch, J.; Speyer, P.; Jousilahti, P.; Harkko, J.; Lallukka, T.
Show abstract
Background: Cardiovascular diseases (CVD) are more common in lower occupational classes, but the mediating role of health behaviours remains unclear. This study aimed to quantify the extent to which health behaviours mediate the association between occupational class and CVD, evaluate their relative contributions to CVD risk, and assess occupational class differences in the effects of health behaviours. Methods: Municipal employees from Helsinki, aged 40-60 at baseline, were followed from 2000-2002 (response rate 67%) to 2022. CVD events were identified from national registers, including hospitalizations, long-term sickness absence, disability pensions, and mortality. Counterfactual mediation analysis using additive survival regression was used to assess the contribution of health behaviours - excessive alcohol consumption, smoking, unhealthy diet, and insufficient physical activity - to the association of occupational class and CVD. Occupational class differences in the effects of health behaviours were assessed with Cox regression. Results: During follow-up, 50% of participants in the low occupational class and 46% in the high occupational class had a CVD event. All unhealthy behaviours except heavy alcohol use were more common in the low occupational class. Health behaviours explained approximately 40% of the excess risk of CVD when moving from high occupational class to low occupational class. Insufficient physical activity (HR 1.44, 95% CI 1.35-1.54) was the strongest predictor of CVD. Unhealthy diet was more strongly associated with CVD in the high occupational class. Conclusion: Health behaviours explained a part of occupational class inequalities in CVD, but most of the inequality remained unexplained, highlighting broader social determinants.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Shared and distinct pathways from anxiety disorder and depression to cardiovascular disease: a UK Biobank prospective cohort study 94%
- Joint association of genetic risk and accelerometer-based step count with cardiovascular disease: a UK-Biobank cohort study 93%
- Metabolomics data improve 10-year cardiovascular risk prediction with the SCORE2 algorithm for the general population without cardiovascular disease or diabetes 91%
Similar papers in this journal
- Lifetime exposure to violence and early cardiometabolic risk factors in a healthy Swedish cohort 94%
- Walking pace optimizes conventional cardiovascular disease risk prediction models among vulnerable subpopulations: a prospective cohort study 94%
- Accumulating Sedentary Time and Physical Activity from Childhood to Adolescence and Cardiac Function in Adolescence 94%
Similar papers in this journal
- Actionable absolute risk prediction of atherosclerotic cardiovascular disease: a behavior-management approach based on data from 464,547 UK Biobank participants 92%
- Longitudinal changes and key determinants of meeting WHO recommended levels of physical activity during the COVID-19 pandemic in a UK-based sample: Findings from the HEBECO Study 92%
- Circulating adiponectin mediates the association between omentin gene polymorphism and cardiometabolic health in Asian Indians 92%
Similar papers in this journal
- Carotid atherosclerosis in people of European, South Asian and African Caribbean ethnicity in the Southall and Brent Revisited study (SABRE) 91%
- Development and validation of a cardiovascular diseases risk prediction model for Chinese males (CVDMCM) 91%
- Estimation of Life’s Essential 8 Score with Incomplete Data of Individual Metrics 90%
Similar papers in this journal
- Environment-wide association study (EWAS) on cardiometabolic traits: A systematic assessment of the association of lifestyle variables on a longitudinal setting 94%
- Longitudinal associations between physical activity and other health behaviours during the COVID-19 pandemic: A fixed effects analysis 92%
- Causal attribution of smoking and BMI to the landscape of disease incidence in UK Biobank 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.