DOI: 10.25259/cjhs_19_2025 ISSN: 2756-4185

Prevalent risk factors and determinants of cardiovascular disease among staff in South-South Nigeria

Bernadine Nsa Ekpenyong, Iniobong Boniface Williams, Margaret Inemesit Akpan, Peter Alexander, Obiageli Chiezey Onwusaka, Aniekanabasi Jonathan Okon, Ekpereonne Babatunde Esu, Antor Odu Ndep

Objectives:

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, yet routine risk assessment is not standard practice in many institutions, especially in low- and middle-income countries. This study aimed to assess the prevalence and determinants of CVD risk factors among staff of Federal Universities in Nigeria’s South-South geopolitical zone.

Materials and Methods:

A cross-sectional, comparative, and analytical study was conducted among 372 academic and non-academic staff members from two universities selected through stratified random sampling. Data collection involved a semi-structured questionnaire administered through the KoboCollect app, alongside physical and biochemical assessments. Anthropometric measurements were obtained using standard procedures. Height was measured to the nearest 0.1 cm with a stadiometer, and weight to the nearest 0.1 kg using a calibrated digital scale, with participants barefoot and in light clothing. Body mass index was calculated as weight (kg) divided by height squared (m 2 ). Blood glucose and lipid profile (total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol [LDL-C], very-LDL-C, triglycerides) were analyzed using the Point of Care Accu-Chek Active and CardioChek Professional Analyzer. Data was cleaned in Microsoft Excel 2013 and analyzed using international business machines the Statistical Package for the Social Sciences version 23.0.

Results:

The mean age of participants was 51.20 ± 6.97 years. Obesity (15.1%) was the most prevalent CVD risk factor, followed by diabetes mellitus (7.5%), hypertension (4.6%), and elevated LDL-C (3.8%). Non-academic staff exhibited significantly higher rates of diabetes mellitus (χ 2 = 6.165, P = 0.046) and hypertension (χ 2 = 8.029, P = 0.018) compared to academic staff, while academic staff had a significantly higher prevalence of obesity (χ 2 = 7.365, P = 0.022). Although LDL-C was also higher among academic staff (4.8%) than non- academic staff members (2.7%), the difference was not statistically significant ( P = 0.276). Notably, 37.9% of respondents, particularly non-academic staff, demonstrated poor knowledge of CVD risk factors. Undesirable lifestyle behaviors such as smoking and excessive alcohol use (x̄ ≥ 4 bottles/month) were significantly associated with non-academic staff ( p <0.001).

Conclusion:

The major CVD risk factors identified are obesity, hypertension, diabetes, and low-density lipoprotein cholesterol. Physical inactivity, lack of awareness, smoking, and alcohol use are the identified modifiable life behaviors. This study highlights the need for institutional-level interventions, including regular screening and targeted health education. Strengthening awareness and early detection programs within Nigerian universities is essential to reducing the long-term burden of CVD and promoting a healthier workforce.

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