Hypertension and diabetes prevalence, associated factors, care cascade, and quality of life in older adults: A cross-sectional population-based study in The Gambia, South Africa, and Zimbabwe

07 Jul 20265 min read0 viewsJournal Feed

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by Anthony Muchai Manyara, Suad Abdullah, Ayaan Balshaf, Tadios Manyanga, Momodou Jallow, Etheldreda I. Yoliswa Madela, Hannah Wilson, Anya Burton, Farhanah Paruk, Chris Grundy, Camille Pearse, Tafadzwa Madanhire, Lucy Gates, Bilkish Cassim, Rashida A. Ferrand, Kate A.
Ward, Celia L. Gregson Background Hypertension and diabetes prevalence are increasing across Africa. We investigated the prevalence, associated factors, achievement of stages within the care cascade (diagnosis, treatment, control), and health-related quality of life (HRQoL) in three countries in Africa.
Methods and findings This cross-sectional study recruited adults aged ≥40 years in five settings: rural ( n = 1,052) and urban ( n = 1,218) The Gambia, rural ( n = 948) and urban ( n = 968) South Africa (SA), and urban ( n = 1,110) Zimbabwe between 2022 and 2024. Data were collected using researcher-administered questionnaires and assessments. Hypertension and diabetes were defined using self-reported diagnosis, medication use, and blood pressure and glucose measurements.
HRQoL was assessed using EuroQol-5 Dimension 5 Level questionnaire, with a minimally important difference (MID) defined as half a standard deviation (SD).

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Hypertension and diabetes prevalence, associated factors, care cascade, and quality of life in older adults: A cross-sectional population-based study in The Gambia, South Africa, and Zimbabwe

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Hypertension and diabetes prevalence, associated factors, care cascade, and quality of life in older adults: A cross-sectional population-based study in The Gambia, South Africa, and Zimbabwe

GIST (Key Takeaways)

Clinical Editorial

Source Reference

Related by Condition/Drug

Genetic and sociodemographic factors associated with trajectories of physical and mental health multimorbidity in a South Asian cohort in the UK: A multistate modelling analysis

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