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We assess whether the household is an apt scale of analysis to examine food insecurity of Indigenous Batwa of Kanungu District, Uganda. Our objectives were: 1) estimate the prevalence and range of food insecurity, 2) estimate the variation in food insecurity associated with household and community factors. The survey was administered 6 times at 3-month intervals (Jan 2013-April 2014). Multilevel modeling was used to determine household and community associations with food insecurity. The Batwa were highly food insecure (97%). Variation in food insecurity that is explained by household and community factors was low. Food insecurity analyses should be considered scale-dependent. [ABSTRACT FROM AUTHOR]

The Batwa (Twa), an Indigenous People of southwest Uganda, were evicted from their ancestral forest lands in 1991 due to establishment of the Bwindi Impenetrable Forest. This land dispossession forced Batwa to transition from a semi-nomadic, hunting-gathering livelihood to an agricultural livelihood; eliminated access to Indigenous food, medicines, and shelter; and shifted their healthcare options. Therefore, this exploratory study investigated why Batwa choose Indigenous or biomedical treatment, or no treatment, when experiencing acute gastrointestinal illness. Ten gender-stratified focus groups were conducted in five Batwa settlements in Kanungu District, Uganda (n = 63 participants), alongside eleven semi-structured interviews (2014). Qualitative data were analysed thematically, using a constant comparative method. Batwa emphasised that health-seeking behaviour for acute gastrointestinal illness was diverse: some Batwa used only Indigenous or biomedical healthcare, while others preferred a combination, or no healthcare. Physical and economic access to care, and also perceived efficacy and quality of care, influenced their healthcare decisions. This study provides insight into the Kanungu District Batwa's perceptions of biomedical and Indigenous healthcare, and barriers they experience to accessing either. This study is intended to inform public health interventions to reduce their burden of acute gastrointestinal illness and ensure adequate healthcare, biomedical or Indigenous, for Batwa. [ABSTRACT FROM AUTHOR]

Background: There is concern in the international community regarding the influence of climate change on weather variables and seasonality that, in part, determine the rates of malaria. This study examined the role of sociodemographic variables in modifying the association between temperature and malaria in Kanungu District (Southwest Uganda). Methods: Hospital admissions data from Bwindi Community Hospital were combined with meteorological satellite data from 2011 to 2014. Descriptive statistics were used to describe the distribution of malaria admissions by age, sex, and ethnicity (i.e. Bakiga and Indigenous Batwa). To examine how sociodemographic variables modified the association between temperature and malaria admissions, this study used negative binomial regression stratified by age, sex, and ethnicity, and negative binomial regression models that examined interactions between temperature and age, sex, and ethnicity. Results: Malaria admission incidence was 1.99 times greater among Batwa than Bakiga in hot temperature quartiles compared to cooler temperature quartiles, and that 6–12 year old children had a higher magnitude of association of malaria admissions with temperature compared to the reference category of 0–5 years old (IRR = 2.07 (1.40, 3.07)). Discussion: Results indicate that socio-demographic variables may modify the association between temperature and malaria. In some cases, such as age, the weather-malaria association in sub-populations with the highest incidence of malaria in standard models differed from those most sensitive to temperature as found in these stratified models. Conclusion: The effect modification approach used herein can be used to improve understanding of how changes in weather resulting from climate change might shift social gradients in health. [ABSTRACT FROM AUTHOR]

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.

Objective: To assess the extent of pregnancy loss (i.e., miscarriage and/or stillbirth) and examine its association with socio-demographic characteristics among Bakiga and Indigenous Batwa women in Kanungu District, southwest Uganda., Methods: As part of a larger community-based, participatory project, a retrospective survey of maternal health histories was conducted in ten Batwa and ten Bakiga communities (n = 555 participants) collecting data on self-reported pregnancy loss (i.e., miscarriage and stillbirth) and socio-demographic characteristics. Socio-demographic associations with pregnancy loss (i.e., total miscarriages and stillbirths) were examined using multivariable Poisson and negative binomial regression., Results: Batwa women experienced pregnancy loss more commonly than Bakiga women did (149.8/1000 vs. 96.3/1000 pregnancies). In the final adjusted model for Batwa women, being in the middle (RR 1.92; CI: 1.21-3.07) and highest (RR 1.79; CI: 1.14-2.82) wealth tertiles (compared to lowest wealth tertile) and living in Community X (RR 4.33; CI 2.27-8.28) (compared to all other communities) were associated with increased pregnancy loss. For Bakiga women, the proportion of pregnancy loss was higher for those who reported drinking alcohol during pregnancy (RR: 1.54; CI: 1.04-2.13) and being food insecure (RR 1.39; CI: 1.02-1.91)., Conclusion: The proportion of, and the socio-demographic associations with, pregnancy loss differed for Bakiga and Indigenous Batwa women. These differences underscore the importance of collecting Indigenous health data to understand not only the extent of, but also the varied contextual circumstances that are associated with pregnancy loss. This nuanced and stratified information is critical for planning meaningful health programming to reduce pregnancy loss for Indigenous women., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Comprehensive food lists and databases are a critical input for programs aiming to alleviate undernutrition. However, standard methods for developing them may produce databases that are irrelevant for marginalised groups where nutritional needs are highest. Our study provides a method for identifying critical contextual information required to build relevant food lists for Indigenous populations. For our study, we used mixed-methods study design with a community-based approach. Between July and October 2019, we interviewed 74 participants among Batwa and Bakiga communities in south-western Uganda. We conducted focus groups discussions (FGDs), individual dietary surveys and markets and shops assessment. Locally validated information on foods consumed among Indigenous populations can provide results that differ from foods listed in the national food composition tables; in fact, the construction of food lists is influenced by multiple factors such as food culture and meaning of food, environmental changes, dietary transition, and social context. Without using a community-based approach to understanding socio-environmental contexts, we would have missed 33 commonly consumed recipes and foods, and we would not have known the variety of ingredients' quantity in each recipe, and traditional foraged foods. The food culture, food systems and nutrition of Indigenous and vulnerable communities are unique, and need to be considered when developing food lists.