Socioeconomic inequalities of cardiovascular risk factors among manufacturing employees in the Republic of Ireland: a cross-sectional study

Objectives: To explore socioeconomic differences in four cardiovascular disease risk factors (overweight/obesity, smoking, hypertension, height) among manufacturing employees in the Republic of Ireland (ROI). Methods: Cross-sectional analysis of 850 manufacturing employees aged 18–64 years. Education and job position served as socioeconomic indicators. Group-specific differences in prevalence were assessed with the Chi-squared test. Multivariate regression models were explored if education and job position were independent predictors of the CVD risk factors. Cochran–Armitage test for trend was used to assess the presence of a social gradient. Results: A social gradient was found across educational levels for smoking and height. Employees with the highest education were less likely to smoke compared to the least educated employees (OR 0.2, [95% CI 0.1–0.4]; p b 0.001). Lower educational attainment was associated with a reduction in mean height. Non-linear differences were found in both educational level and job position for obesity/overweight. Managers were more than twice as likely to be overweight or obese relative to those employees in the lowest job position (OR 2.4 [95% CI 1.3–4.6]; p = 0.008). Conclusion: Socioeconomic inequalities in height, smoking and overweight/obesity were highlighted within a sub-section of the working population in ROI.

Age, job characteristics and coronary health

Background: Workplace demographics are changing in many European countries with a higher proportion of older workers in employment. Research has shown that there is an association between job strain and cardiovascular disease, but this relationship is unclear for the older worker. Aims: To investigate the association between job strain and a coronary event comparing younger and older male workers. Methods: Cases with a first-time coronary event were recruited from four coronary/intensive care units (1999-2001). Matched controls were recruited from the case's general practitioner surgery. Physical measurements were taken and self-administered questionnaires completed with questions on job characteristics, job demands and control. Unconditional logistic regression was carried out adjusting for classical cardiovascular risk factors. Results: There were 227 cases and 277 matched controls. Age stratified analyses showed a clear difference between younger (= 50 years) workers with regard to the exposure of job strain (job demands and control) and the association between these factors and cardiovascular disease. Older workers who had a coronary event were four times as likely to have high job strain [OR = 4.09 (1.29-13.02)] and more likely to report low job control [ OR = 0.83 (0.72-0.95)]. Conclusions: Job control emerged as a potential protective factor for heart disease and this evidence was stronger in the older male worker. Nevertheless, they were significantly more likely to have job strain. These results suggest that older workers may be more susceptible to job strain.