Prevalence and Determinants of Undernutrition among People Living With HIV at Ngarama Hospital, Rwanda
Joselyne Gitego1, Rosemary Okova1, Michael Habtu1
1School of Health Sciences, Mount Kenya University, Kigali Campus, Rwanda.
Insights
Undernutrition affects 22% of people living with HIV (PLWHA). Younger age, lower social category, gastrointestinal issues, and lack of dietary counseling predict undernutrition in this population.
Area of Science:
- Public Health
- Nutrition Science
- Infectious Disease Epidemiology
Background:
- Undernutrition poses significant health challenges, particularly in developing nations.
- It adversely affects individuals living with HIV (PLWHA), complicating their health outcomes.
Purpose of the Study:
- To ascertain the prevalence of undernutrition among PLWHA.
- To identify key determinants associated with undernutrition in this demographic.
Main Methods:
- A cross-sectional study was conducted involving 267 PLWHA at Ngarama District Hospital.
- Data collection utilized questionnaires and anthropometric measurements, followed by descriptive and inferential statistical analyses.
Main Results:
- The prevalence of undernutrition was found to be 22.0%.
- Key predictors identified through multivariable analysis included younger age groups (21-30 and 31-40 years), lower social category, gastrointestinal discomfort, and absence of dietary counseling.
Conclusions:
- A high prevalence of undernutrition exists among PLWHA.
- Public health initiatives should focus on dietary diversity, utilizing local foods, and providing counseling to mitigate undernutrition in PLWHA.
Background:
Undernutrition is one of the important health problems in developing countries, which has undesirable health effect among people living with HIV (PLWHA).
Objectives:
To determine prevalence and determinants of undernutrition among PLWHA in Ngarama District Hospital.
Methods:
Cross sectional study was conducted among 267 PLWHA who were selected systematically as they came for care. Questionnaire and anthropometric measurements were used to collect data. Descriptive and inferential statistics were performed.
Result:
The prevalence of undernutrition was 22.0%. After controlling all the possible confounders using multivariable analysis, the following variables were predictors of undernutrition: respondents' age 21 to 30 (AOR = 17.24; 95% CI = 5.55 - 53.56; p < 0.001) and 31 to 40 (AOR = 19.15; 95%CI = 5.97 - 61.40; p <0.001) compared to those aged 41 years and above, social category one (AOR = 3.54; 95%CI = 1.18 - 10.59; p = 0.024); experienced gastrointestinal discomfort (AOR = 19.87; 95%CI = 5.09 - 77.55; p <0.001) and not received dietary counseling (AOR = 7.45; 95%CI = 2.83 - 19.62; p <0.001).
Conclusion:
The prevalence of undernutrition among PLWHA was high. Therefore, the Ministry of Health and other stakeholders should campaign, counsel and assist with provision of dietary diversity using locally available foods.
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