Background: Obesity has become a major comorbidity faced by people living with HIV (PLH). This study aimed to estimate the prevalence and correlates of overweight and obesity among PLH in Uganda. Methods: From June 2016 and February 2020, we conducted a cross-sectional analysis among PLH receiving comprehensive HIV care in a large urban clinic in Kampala, Uganda. We collected data on socio-demographic and behavioral anthropometry, and included variables such as age, marital status, occupation (farmer/other), migration history (rural to urban, urban to rural, consistently rural, consistently urban), contraceptive use history (pills, injections, implants), previous pregnancies (categorized as 0-2, 3-5, ≥6), and socioeconomic status (SES) index variable developed for Ugandan settings. Standardized weight and height assessments were performed with BMI categorization into normal, overweight and obese categories. We performed sex-stratified analysis employing multinomial logistic regression (Stata 18.0) to estimate adjusted relative risk ratios (aRRR) and 95% confidence intervals (CIs) for overweight and obesity compared to under or normal weight., focusing on correlates of overweight in males due to the limited number of obese male participants (n=15). Results: Of 1939 participants aged 18-80 years, 60.2% were female and the median age (IQR) was 43 (35-50) years for females and 47.5 (40-54) years for males. Median body mass index (BMI) was 24.27(21.09-27.99) kg/m2 for females and 21.63 (19.69-24.11) kg/m2 for males. 27.1% and 17.2% were overweight and 16.7% and 2% were obese among females and males, respectively. In adjusted analysis among females, factors positively associated with being overweight were older age (36-50 years: aRRR=1.84; 95% CI:1.26-2.68, >50 years: aRRR=2.16; 95% CI:1.34-2.46), being married (aRRR=2.00; 95% CI:1.46-2.73), middle SES (aRRR=1.47; 95% CI:1.01-2.13), upper SES (aRRR=2.05; 95% CI:1.44-2.90), and rural-to-urban migration (aRRR=1.52; 95% CI:1.05-2.22). Being a farmer was negatively associated with overweight (aRRR=0.42; 95% CI:0.22-0.77). Similar associations were observed with obesity, with ever use of contraception and having had >2pregnancies also significantly associated with increased risk of obesity. For males, being older (36-50 years: aRRR=2.09; 95% CI:1.06-4.11, >50 years: aRRR=2.04; 95% CI:1.01-4.08) and having high SES (aRRR=2.38; 95% CI:1.53-3.70) were positively associated with overweight, while being a farmer was inversely associated (aRRR=0.43; 95% CI:0.20-0.93). Conclusions: High prevalence of overweight and obesity were observed among PLH in Uganda, notably among females. Migration, SES, and reproductive factors were strongly associated with higher BMI. Identified sociodemographic risk factors can guide targeted interventions in this region.
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