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- Ayoola, A, et al.
(författare)
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Overweight and obesity in south central Uganda: A population-based study
- 2022
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Ingår i: PLOS global public health. - : Public Library of Science (PLoS). - 2767-3375. ; 2:11, s. e0001051-
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Tidskriftsartikel (refereegranskat)abstract
- Obesity is a rapidly growing global health challenge, but there are few population-level studies from non-urban settings in sub-Saharan Africa. We evaluated the prevalence of overweight (body mass index (BMI)>25 kg/m2), obesity (BMI>30 kg/m2), and associated factors using data from May 2018 to November 2020 from the Rakai Community Cohort Study, a population-based cohort of residents aged 15 to 49 living in forty-one fishing, trading, and agrarian communities in South Central Uganda. Modified Poisson regression was used to estimate adjusted prevalence risk ratios (PRR) and 95% confidence intervals (CI) in 18,079 participants. The overall mean BMI was 22.9 kg/m2. Mean BMI was 21.5 kg/m2 and 24.1 kg/m2 for males and females, respectively. The prevalence of overweight and obesity were 22.8% and 6.2%, respectively. Females had a higher probability of overweight/obesity (PRR: 4.11, CI: 2.98–5.68) than males. For female participants, increasing age, higher socioeconomic status, residing in a trading or fishing community (PRR: 1.25, CI 1.16–1.35 and PRR: 1.17, CI 1.10–1.25, respectively), being currently or previously married (PRR: 1.22, CI 1.07–1.40 and PRR: 1.16, CI 1.01–1.34, respectively), working in a bar/restaurant (PRR: 1.29, CI 1.17–1.45), trading/shopkeeping (PRR: 1.38, CI 1.29–1.48), and reporting alcohol use in the last year (PRR: 1.21, CI 1.10–1.33) were risk factors for overweight/obese. For male participants, increasing age, higher socioeconomic status, being currently married (PRR: 1.94, CI 1.50–2.50), residing in a fishing community (PRR: 1.68, CI 1.40–2.02), working in a bar/restaurant (PRR: 2.20, CI 1.10–4.40), trading/shopkeeping (PRR: 1.75, CI 1.45–2.11), or fishing (PRR: 1.32, CI 1.03–1.69) increased the probability of overweight/obesity. Non-Muslim participants, male smokers, and HIV-positive females had a lower probability of overweight/obese. The prevalence of overweight/obesity in non-urban Ugandans is substantial. Targeted interventions to high-risk subgroups in this population are needed.
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- Enriquez, R., et al.
(författare)
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Prevalence and risk factors of metabolic dysfunction-associated steatotic liver disease in south Central Uganda : A cross-sectional survey
- 2024
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Ingår i: Alimentary Pharmacology and Therapeutics. - : John Wiley & Sons. - 0269-2813 .- 1365-2036.
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Tidskriftsartikel (refereegranskat)abstract
- Background: Despite numerous risk factors and serious consequences, little is known about metabolic dysfunction-associated steatotic liver disease (MASLD) at population level in Africa. Aim: The aim of the study was to estimate the prevalence and risk factors of MASLD in people living with and without HIV in Uganda. Methods: We collected data from 37 communities in South Central Uganda between May 2016 and May 2018. We estimated MASLD prevalence using the fatty liver index and advanced liver fibrosis using the dynamic aspartate-to-alanine aminotransferase ratio. We collected additional data on sociodemographics, HIV and cardiovascular disease (CVD) risk factors. We used multivariable logistic regression to determine the association between HIV, CVD risk factors and MASLD. Results: We included 759 people with HIV and 704 HIV-negative participants aged 35–49. MASLD prevalence was 14% in women and 8% in men; advanced liver fibrosis prevalence was estimated to be <1%. MASLD prevalence was more common in women (15% vs. 13%) and men (9% vs. 6%) with HIV. Being female (odds ratio [OR] = 2.1; 95% confidence interval [CI] = 1.4–3.3) was associated with a higher odds of MASLD after adjustment for confounders; HIV infection was borderline associated with MASLD (OR = 1.4; 95% CI: 1.0–2.0). Conclusions: In a relatively young cohort in Uganda, 14% of women and 8% of men had MASLD. There was an indication of an association between HIV and MASLD in multivariable analysis. These data are the first to describe the population-level burden of MASLD in sub-Saharan Africa using data from a population-based cohort.
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