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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]

Abstract Objectives Malnutrition is a persistent health concern throughout the world. Globally, Indigenous peoples experience poorer health outcomes compared to their non-Indigenous neighbours. Despite this, malnutrition among Indigenous populations is poorly understood. This analysis estimated the prevalence, and modeled possible determinants of, moderate acute malnutrition (MAM) and severe acute malnutrition (SAM) for Indigenous Batwa and non-Indigenous Bakiga of Kanungu District in Southwestern Uganda. We then characterize possible mechanisms driving differences in malnutrition. Methods Retrospective cross-sectional surveys were administered to 10 Batwa communities and 10 matched Bakiga Local Councils during April of 2014 (n = 1167). Individuals were classified as MAM and SAM based on middle upper-arm circumference (MUAC) for their age-sex strata. Mixed-effects regression models quantified the variation in malnutrition occurrence, considering individual, household, and community-ethnicity level effects. Models controlled for age, sex, number of dependents, education, and relative wealth. Results Malnutrition is high among Batwa children and adults, with nearly half of Batwa adults (45.34%, 95% CI 34.82 to 55.86 for males; 45.86%, 95% CI 37.39 to 54.33 for females) and nearly a quarter of Batwa children (20.31%, 95% CI 13.07 to 26.93 for males; 25.81%, 95% CI 17.56 to 32.84 for females) meeting MAM criteria. SAM prevalence is lower than MAM prevalence, with SAM highest among adult Batwa males (11.60%, 95% CI 4.83 to 18.37) and adult Batwa females (3.00%, 95% CI 0.10 to 5.90). SAM prevalence among children was higher for Batwa males (7.03%, 95% CI 1.36 to 12.70) compared to Bakiga males (0.57%, 95% CI 0 to 1.69). Models that incorporated community ethnicity explained the greatest variance (>60%) in MUAC values. Conclusion This research demonstrates a malnutrition inequality between the Indigenous Batwa and non-Indigenous Bakiga of Kanungu District, Uganda, with model results suggesting further investigation into the role of ethnicity as an upstream social determinant of health. Highlights • Malnutrition disparities exist among Indigenous and non-Indigenous groups in Uganda. • Distinct malnutrition factors appear at individual, household, and community levels. • Ethnic distinction within communities may act as an upstream determinant of health. [ABSTRACT FROM AUTHOR]