ArticleAIDS (London, England)2019
Growth curve modelling to determine distinct BMI trajectory groups in HIV-positive adults on antiretroviral therapy in South Africa.
Article in AIDS (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Symptoms and Comorbidities Differ Based on Race and Weight Status in Persons with HIV in the Northern United States: a Cross-Sectional Study.Journal of racial and ethnic health disparities · 2023Trial
- Body mass index and cervical cancer screening among women aged 15-69 years in Eswatini: evidence from a population-based survey.BMC public health · 2023Article
- Article
- Prevalence and predictors of uncontrolled hypertension, diabetes, and obesity among adults with HIV in northern Tanzania.Global public health · 2022Observational
- High baseline body mass index predicts recovery of CD4+ T lymphocytes for HIV/AIDS patients receiving long-term antiviral therapy.PloS one · 2022Article
- Integrase Strand Transfer Inhibitors Play the Main Role in Greater Weight Gain Among Men With Acute and Early HIV Infection.Open forum infectious diseases · 2021Article
- COVID-19 and Vulnerable Populations in Sub-Saharan Africa.Advances in experimental medicine and biology · 2021Review
- Sociodemographic and Clinical Predictors of Weight Gain During the First Year of Antiretroviral Therapy among Adults Living With HIV in Urban Tanzania.Journal of the International Association of Providers of AIDS CareArticle
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11 authors.
Funding
Abstract
objectiveObesity is a major long-term concern in HIV-positive patients due to the pathogenic link between obesity and noncommunicable chronic diseases (NCDs). We aim to characterize changes in BMI over time on antiretroviral therapy (ART) and investigate the association between weight gain and survival in South Africa. DESIGN AND
methodsA prospective cohort study among HIV-positive adults on first-line ART between April 2004 and 2015 in Johannesburg, South Africa. We used latent-class growth modelling (adjusted for age, sex and CD4 cell count) to identify groups of individuals with similar patterns of change in BMI over time.
resultsEleven thousand, two hundred and sixty-three patients were included. The best fit model involved two linear and two quadratic trajectories. Thirty-five percent of patients were categorized into group one (mean BMI at ART initiation, 20.4 kg/m; mean BMI after 8 years of follow-up, 20.9 kg/m), 38% into group two (24.5-26.2 kg/m), 21% into group three (29.5-32.6 kg/m) and 6% into group four (36.5-40.0 kg/m). Over the 8 years of follow-up, 6% of our cohort went down in BMI standard category, while 45% went up. The largest increase occurred in the first 12 months on ART. In years 2 through 8, we saw a more gradual increase in BMI.
conclusionThe largest gain in BMI in HIV patients occurred in the first year on ART. During follow-up, over 50% of our population changed BMI categories putting them at an increased risk for NCDs. Consistent counselling on nutritional and lifestyle changes could help improve ART patients' long-term health outcomes.
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