Evidence map›Paper›PMID 42412877›Full record

ArticlePLoS medicine2026

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.

Anthony Muchai Manyara, Suad Abdullah, Ayaan Balshaf, Tadios Manyanga, Momodou Jallow, Etheldreda I Yoliswa Madela, Hannah Wilson, Anya Burton, Farhanah Paruk, Chris Grundy and 7 more

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Anthony Muchai ManyaraGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-6276-926X
Suad AbdullahGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Ayaan BalshafGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0009-0001-6362-318X
Tadios ManyangaThe Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe.ORCID https://orcid.org/0000-0001-5036-9314
Momodou JallowMRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia.
Etheldreda I Yoliswa MadelaDepartment of Geriatrics, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.ORCID https://orcid.org/0000-0003-0043-3853
Hannah WilsonGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0003-0297-8259
Anya BurtonGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0002-4416-0538
Farhanah ParukDivision of Internal Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.ORCID https://orcid.org/0000-0002-2710-899X
Chris GrundyDepartment of Infectious Disease Epidemiology and International Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID https://orcid.org/0000-0002-7042-2394
Camille PearseMRC Lifecourse Epidemiology Centre, Human Development and Health, University of Southampton, Southampton, United Kingdom.ORCID https://orcid.org/0000-0003-3486-8353
Tafadzwa MadanhireGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0003-2449-0027
Lucy GatesMRC Lifecourse Epidemiology Centre, Human Development and Health, University of Southampton, Southampton, United Kingdom.
Bilkish CassimDepartment of Geriatrics, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa.ORCID https://orcid.org/0000-0002-0859-868X
Rashida A FerrandThe Health Research Unit Zimbabwe, Biomedical Research and Training Institute, Harare, Zimbabwe.ORCID https://orcid.org/0000-0002-7660-9176
Kate A WardMRC Unit The Gambia, London School of Hygiene and Tropical Medicine, Banjul, The Gambia.ORCID https://orcid.org/0000-0001-7034-6750
Celia L GregsonGlobal Health and Ageing Research Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom.ORCID https://orcid.org/0000-0001-6414-0529

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundHypertension 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

findingsThis 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). Diabetes complications included neuropathy, cardiovascular disease, and kidney disease. Associations between hypertension and diabetes and risk factors were assessed using study site, age, sex, educational attainment, and wealth index-adjusted Generalised Linear Mixed Effects Models. Associations between care cascade stages and HRQoL were assessed using linear models. Analysis included 5,296 adults, 53% female, and 52% age ≥60 years. Overall hypertension prevalence was 55.6% (95% confidence intervals [CI] 54.2%-56.9%); ranging from 39.6% (95% CI: 36.7-42.7) in rural The Gambia to 66.9% (64.1-69.7) in urban Zimbabwe. Overall, diabetes prevalence was 14.0% (13.1%-15.0%), ranging from 9.2% (7.6-11.0) in urban Zimbabwe to 19.4% (16.9-22.1) in rural SA. Both overweight and obesity, compared to normal weight, were associated with higher odds of hypertension (adjusted odds ratios: 1.73 (95% CI [1.47, 2.03]; p < 0.001) and 2.08 (95% CI [1.74, 2.49]; p < 0.001), respectively and diabetes (1.53 (95% CI [1.22, 1.91]; p < 0.001) and 2.12 (95% CI [1.67, 2.69); p < 0.001), respectively. The proportion with treated and controlled hypertension was 31.0% (913/2944), with 27.2% (800/2944) undiagnosed, and 26.0% (766/2944) treated but uncontrolled. Overall, 21.9% (161/735) had treated and controlled diabetes, whilst 49.7% (365/735) were undiagnosed, and 15.4% (113/735) were diagnosed and untreated. Underdiagnosis and inadequate treatment and control of both diseases were more common in men and in The Gambia. Overall, hypertension targets of 80-80-80% in diagnosis, treatment, and control were 72.8%(2144/2944), 78.3% (1679/2144), and 54.4% (913/1679), respectively. Diabetes targets of 80-80-80-60% in diagnosis, glucose control, hypertension control, and statin use were 50.8%(377/742), 65.7% (243/370), 60.4% (224/371), and 17.8% (67/377), respectively. For both disease targets, South Africa performed better than The Gambia and Zimbabwe. The overall mean±SD HRQoL utility score was 0.829 ± 0.107 (MID = 0.054). Compared to being nonhypertensive, having diagnosed and untreated hypertension was associated with a -0.07 (95%CI [-0.05, -0.08]; p < 0.001) lower HRQoL utility score. Compared to being nondiabetic, having treated and controlled diabetes was associated with lower HRQoL: -0.07 (95% CI [-0.01, -0.13]; p = 0.028) in The Gambia and -0.08 (95% CI [-0.03, -0.12]; p < 0.001) in Zimbabwe. Having ≥1 complication was associated with lower HRQoL: -0.04 (95% CI [-0.03, - 0.05]; p < 0.001). Study limitations are the cross-sectional design and reliance on single measurements of blood pressure and glucose concentrations.

conclusionsThe high prevalence of hypertension and diabetes in mid-age and older adults in rural and urban Africa necessitates urgent diagnostic, preventive, and control interventions. This can include interventions targeted at obesity, screening of all adults aged ≥40 years, prompt and optimal treatment for those diagnosed, and ongoing monitoring to limit complications.

Indexed as

Diabetes MellitusHypertensionQuality of LifeAdultAgedCross-Sectional StudiesFemaleGambiaHumansMaleMiddle AgedPrevalenceRisk FactorsSouth AfricaZimbabwe

Identifiers

PMID42412877
PMCPMC13367908

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.