4 research outputs found
Nutritional status, feeding practices and state of other related indicators at onset of a multi-model community nutrition intervention program in Mpigi District, Uganda.
Introduction: In Uganda, malnutrition level has persistently remained
high among the under-fives and this has led NGOs like World Vision,
Uganda into finding innovative ways for intervention. This paper
presents an assessment of nutrition status and values of related
indicators at onset of a community intervention program in four
sub-counties of Mpigi district in Central Uganda. Methods: This was a
cross-sectional study to provide baseline information for a nutrition
intervention. The study units were index children aged 6-59 months from
818 households. Face to face interviews were conducted using
semi-structured questionnaires. Values of key indicators were computed
and compared between designated control and intervention areas.
Results: Stunting level was 32% while wasting was 3% and underweight at
10%. Most of the index children (78%) started breastfeeding within the
first hour of birth. Nearly a third of the households visited had a
kitchen garden and this did not differ by intervention status.
Conclusion: Like at regional level, nutrition status and feeding
practices in the study area were poor. The values of these indicators
did not significantly change by designated intervention status. Much
effort was needed to realize a difference in nutrition and feeding
practices in designated intervention areas
Association of dietary intake and BMI among newly diagnosed type 2 diabetes patients attending diabetic clinics in Kampala
BACKGROUND: Dietary intake is a known determinant of body mass index (BMI) among different populations and is therefore a useful component for BMI control. To our knowledge, no study has investigated the usual dietary intake and its association with BMI in type 2 diabetes patients among the Ugandan population. This study aimed to analyse the usual dietary intake of newly diagnosed type 2 diabetes patients and determine the association between the different dietary nutrients and BMI. METHODS: We conducted a cross sectional study among 200 newly diagnosed type 2 diabetes patients in two major diabetic clinics of Kampala district. Sociodemographic, lifestyle, clinical measurements and dietary intake data were collected using a pretested structured questionnaire and a 24-h dietary recall respectively. Patients were divided according to quintile of nutrient intake. The association between dietary intake and BMI was investigated using multiple linear regression. RESULTS: The average energy intake was 1960.2 ± 594.6 kilocalories/day. Carbohydrate, protein and fat contributed 73, 12.6 and 14.4% of the daily energy consumption respectively. We observed an inverse association between protein intake and BMI. Slopes (95% C.I) of average BMI for patients in the respective quintiles were: 0.0, -2.1 (-4.2, -0.06), -4.4 (-6.9, -1.9), -5.6 (-8.2, -3.0), and -7.3 (-10.6, -4.0); p trend <0.001. In contrast, the findings showed a positive association between carbohydrate intake and BMI. Slopes (95% C.I) of average BMI for patients in the respective quintiles were: 0.0, 3.0 (0.6, 5.4), 3.5 (0.5, 6.4), 5.2 (1.9, 8.6) and 9.7 (5.3, 14.1); p trend <0.001 after adjusting for sociodemographic, clinical and dietary intake variables. We found no significant association between the dietary intake of fibre, fat, saturated fat, polyunsaturated fat and monounsaturated fat with BMI in the final adjusted model. CONCLUSION: Higher intake of carbohydrate was associated with higher BMI while higher intake of protein was associated with lower BMI
Identifying Predictors for Minimum Dietary Diversity and Minimum Meal Frequency in Children Aged 6–23 Months in Uganda
Adequate complementary foods contribute to good health and growth in young children. However, many countries are still off-track in achieving critical complementary feeding indicators, such as minimum meal frequency (MMF), minimum dietary diversity (MDD) and minimum acceptable diet (MAD). In this study, we used the 2016 Ugandan Demographic Health Survey (UDHS) data to assess child feeding practices in young children aged 6–23 months. We assess and describe complementary feeding indicators (MMF, MDD and MAD) for Uganda, considering geographic variation. We construct multivariable logistic regression models—stratified by age—to evaluate four theorized predictors of MMF and MDD: health status, vaccination status, household wealth and female empowerment. Our findings show an improvement of complementary feeding practice indicators in Uganda compared to the past, although the MAD threshold was reached by only 22% of children. Children who did not achieve 1 or more complementary feeding indicators are primarily based in the northern regions of Uganda. Cereals and roots were the foods most consumed daily by young children (80%), while eggs were rarely eaten. Consistent with our hypotheses, we found that health status, vaccination status and wealth were significantly positively associated with MDD and MMF, while female empowerment was not. Improving nutrition in infant and young children is a priority. Urgent nutritional policies and acceptable interventions are needed to guarantee nutritious and age-appropriate complementary foods to each Ugandan child in the first years of life