Job-dependent prevalence of selected risk factors for cardiovascular diseases in the prevention program participants

Abstract

Background: The paper aims to assess the prevalence of CVD risk factors taking into account the job type among CVD Prevention and Early Detection Program participants and to assess the likelihood of positive changes. Materials and methods: A group of 393 Program participants was the subject of our observation twice (2006-2008, and 2009-2011). The study subjects had their arterial blood pressure measured. We also analysed the concentration of lipids and glucose before breakfast and anthropometric measurements. Moreover, we used a survey questionnaire about the socio-economic situation of the study subjects, their health behaviors and status. The obtained results were subjected to a statistical treatment, including the Chi2 independence test and logistic regression. Results: Our study confirmed an association between the job type and arterial blood pressure, lipid disorders and prevalence of diabetes. Blue-collar workers suffered more often from CVD risk factors (arterial hypertension, high total cholesterol, high triglycerides, high glucose level before breakfast, diabetes, overweight, obesity) than their white-collar colleagues. A 3-year observation showed a higher chance for positive changes in total cholesterol (OR = 2.90), triglycerides (OR = 2.91), glucose before breakfast (OR = 3.11) and body mass index (OR = 2.56) among white-collar workers. Conclusions: The assessment of the prevalence of CVD risk factors indicated a worse situation among blue-collar workers. We estimated the likelihood of positive changes three years after the launch of the prevention program. It turned out to be higher among white-collar workers. Med Pr 2013;64(3):307–315

Keywords

• risk factors
• prevention programme
• job type