Household food security determinants and nutritional status of inhabitants of a peri-urban community: a case study in the Volta region of Ghana

Food shortages and malnutrition widely persist and continue to be rural peculiarities across the sub-region. A cross-sectional study was conducted in a peri-urban community of Dzodze in the Volta region to ascertain the level of food security as well as the nutritional status of the inhabitants using a random sampling technique. This community-based comparative cross-sectional study conducted from May to July 2018 adopted a multistage random sampling and selected 105 households. Sociodemographic data were collected using a structured questionnaire. Chi-square, Cramer’s-V, and Pearson’s correlations models were used to assess the association of socio-demographic, anthropometric and food frequency data while the Logit model, FSI, HCR were used to measure food security. Over half of the sample (59.6%) were in the normal range of BMI which implied good nutritional status. Remarkably, a majority of those in this normal BMI range 81 (77%) were female. Women aged 41years and above constituted a large portion of study participants (54.3%) of which many 43 (41%) were married. Just 4.8% of this group said they were both separated and cohabited with their partners non-customarily. Data on the frequency of food intake by the community revealed that, a majority of 63.4% of the respondents ate three times a day. Most of the people (77.2%, 68.7%, and 86.9%) ate breakfast, lunch, and supper, respectively, daily over a week. The fallouts from the work showed majority (71.5%) of the respondents were food secure and the remaining (about 28.5%) were food insecure. Factors such as age, gender, educational level, household size, and age were found to be significant predictors that influenced food security of the peri-urban community according to the logit model used. The smallholder households according to the computed food security index of 1.13 and normal range of BMI were identified to be indices of food security.&nbsp

Exploring the knowledge and awareness of diabetes mellitus among inhabitants of Ho municipality in Ghana: A cross-sectional study

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.  &nbsp

Household food security determinants and nutritional status of inhabitants of a peri-urban community: A case study in the Volta region of Ghana

Food shortages and malnutrition widely persist and continue to be rural peculiarities across the sub-region. A cross-sectional study was conducted in a peri-urban community of Dzodze in the Volta region to ascertain the level of food security as well as the nutritional status of the inhabitants using a random sampling technique. This community-based comparative cross-sectional study conducted from May to July 2018 adopted a multistage random sampling and selected 105 households. Socio-demographic data were collected using a structured questionnaire. Chi-square, Cramer’s-V, and Pearson’s correlations models were used to assess the association of socio-demographic, anthropometric and food frequency data while the Logit model, FSI, HCR were used to measure food security. Over half of the sample (59.6%) were in the normal range of BMI which implied good nutritional status. Remarkably, a majority of those in this normal BMI range 81 (77%) were female. Women aged 41years and above constituted a large portion of study participants (54.3%) of which many 43 (41%) were married. Just 4.8% of this group said they were both separated and cohabited with their partners non-customarily. Data on the frequency of food intake by the community revealed that, a majority of 63.4% of the respondents ate three times a day. Most of the people (77.2%, 68.7%, and 86.9%) ate breakfast, lunch, and supper, respectively, daily over a week. The fallouts from the work showed majority (71.5%) of the respondents were food secure and the remaining (about 28.5%) were food insecure. Factors such as age, gender, educational level, household size, and age were found to be significant predictors that influenced food security of the peri-urban community according to the logit model used. The smallholder households according to the computed food security index of 1.13 and normal range of BMI were identified to be indices of food security