Cardiovascular diseases (CVDs) are listed as one of the main causes of mortality and morbidity by the World Health Organization. The World Heart Federation lists overweight/obesity, blood lipid profile, and blood pressure as some of the modifiable risk factors to developing CVDs. This study sought to determine the prevalence of some of these modifiable risk factors among University of Ghana students. One hundred and twenty students were sampled for the study. Lipid profile parameters such as high‐density lipoprotein (HDL), total cholesterol (TC), and total triglycerides (TG) were measured using the Vitros 5‐IFS chemistry analyzer (NY, USA). The Friedewald's equation was used to determine low‐density lipoprotein (LDL) levels. Anthropometric indices such as height and weight were measured following standard protocols. Body mass index (BMI) was calculated in kg/m2 using the height and weight measurements. The students were then categorized into underweight, normal, overweight, and obese according to their BMI. Blood pressure measurements were also taken. The mean age of the students was 30.04 ± 7.99 years. A total of 4.2%, 30%, and 67.5% had TG, TC, and LDL, respectively, above normal recommended ranges. Low HDL levels were observed in 32.5% of the students. About 45% had high systolic blood pressure and 32.5% with high diastolic blood pressure. In all, the risk factors studied contributed to about 95% of the variance in explaining the risk of developing CVDs. The study concludes that the cardiovascular risk factors assessed are prevalent among the students and therefore steps must be taken to address the increase in prevalence.

Background Obesity is a risk factor for different chronic conditions. Over the years, obesity has become a pandemic and it is therefore important that effective diagnostic tools are developed. Obesity is a measure of adiposity and it has become increasingly evident that anthropometric measures such as body mass index (BMI) used to estimate adiposity are inadequate. This study therefore examined the ability of different anthropometric measurements to diagnose obesity within a cross-section of Ghanaian women. Methods We obtained anthropometric measurements and used that to generate derived measures of adiposity such as body adiposity index (BAI) and conicity index. Furthermore we also measured adiposity using a bioimpedance analyser. Associations between these measurements and percentage body fat (%BF) were drawn in order to determine the suitability of the various measures to predict obesity. The prevalence of obesity was determined using both %BF and BMI. Results BMI, Waist and hip circumference and visceral fat (VF) were positively correlated with % BF whereas skeletal muscle mass was negatively correlated. Prevalence of obesity was 16% and 31.6% using BMI and %BF respectively. Receiver operating characteristic (ROC) analysis showed that these differences in prevalence was due to BMI based misclassification of persons who have obesity as overweight. Similar, shortfalls were observed for the other anthropometric measurements using ROC. Conclusions No single measure investigated could adequately predict obesity as an accumulation of fat using current established cut-off points within our study population. Large scale epidemiological studies are therefore needed to define appropriate population based cut-off points if anthropometric measurements are to be employed in diagnosing obesity within a particular population.

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28Background: Obesity is increasingly becoming a pandemic considering the many risks it pose to other

One of the fast-growing major non-communicable diseases (NCD) that poses a danger to global public health is Diabetes mellitus (DM). Trends in the incidence of DM indicate a disproportionate increase in developing countries due to current rapid demographic transitions from traditional to more westernized and urbanized lifestyles. Knowledge of DM is vital for curbing or control. The objectives of this study were to evaluate the level of knowledge and awareness of DM among the Ho municipality general population, identify areas of deficiency for targeted health education efforts, and identify respondent characteristics that may be associated with knowledge of diabetes. A survey involving 132 respondents (age over 18 years) was conducted in the Ho municipality of the Volta region of Ghana. A 42-item pre-tested questionnaire was administered to participants to evaluate general and specific knowledge and awareness of DM. The Pairwise Multiple Comparison and Fisher’s Exact tests were used to test the hypotheses and associations between the respondents’ knowledge level and groups respectively. Of the 132 respondents, 22% were in the age range of 40-46 years; 72.7% were female. Mean over all diabetes knowledge composite score was poor: 32.99% (CI; 27.5, 38.5). Respondents performed best in the symptoms section: mean score was 36.247% (CI; 29.0, 43.4); and worst in the section on complications: mean score was 30.909% (CI; 23.6, 38.2). In multiple linear regression analyses, education level, older age, own self having diabetes, and having a family member/relative/friend with diabetes were significantly associated with knowledge of diabetes. Knowledge of diabetes among the inhabitants of Ho municipality respondents was interpreted as being inadequate 32.99% (CI; 27.5, 38.5). Some deficient portions and factors associated with knowledge of diabetes were identified. Relevant information for targeted health education programs in Ghana and beyond may be considered as one of such benefits of these findings.