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[Job-dependent prevalence of selected risk factors for cardiovascular diseases in the prevention program
Marek Bryla1, Aleksandra Maciak-Andrzejewska, Irena Maniecka-Bryla
1Uniwersytet Medyczny w Lodzi, Medical University of Lodz, Lodz, Poland. marek.bryla@umed.lodz.pl
Insights
Blue-collar workers face higher cardiovascular disease (CVD) risks. White-collar workers showed greater positive changes in cholesterol, triglycerides, glucose, and BMI after a 3-year prevention program.
Area of Science:
- Cardiology
- Occupational Health
- Preventive Medicine
Context:
- Cardiovascular disease (CVD) risk factors vary significantly across different occupational groups.
- Understanding these disparities is crucial for targeted prevention strategies.
- A CVD Prevention and Early Detection Program provided a cohort for assessing occupational impact on health.
Purpose:
- To evaluate the prevalence of CVD risk factors based on job type within a prevention program cohort.
- To determine the likelihood of positive health changes over three years in relation to occupation.
Summary:
- A 3-year study of 393 participants analyzed blood pressure, lipids, glucose, and anthropometrics.
- Blue-collar workers exhibited higher rates of hypertension, dyslipidemia, diabetes, and obesity compared to white-collar workers.
- White-collar workers demonstrated a significantly higher probability of positive changes in total cholesterol, triglycerides, glucose levels, and body mass index.
Impact:
- Job type is a significant determinant of CVD risk factor prevalence and response to prevention programs.
- Findings highlight the need for occupation-specific interventions to mitigate CVD risks.
- This research informs public health policy and clinical practice for effective CVD prevention across diverse workforces.
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.
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