Evidence map›Paper›PMID 41561565›Full record

ArticleBMJ public health2026

Eight-year prevalence and incidence of obesity, high blood glucose and high blood pressure in five African-origin populations: data from the Modeling the Epidemiologic Transition Study.

Larske M Soepnel, Catharina Conradie, Hayli Geffen, Candice Choo-Kang, Pascal Bovet, Bharathi Viswanathan, Kweku Bedu-Addo, Prince Oti-Boateng, Oscar Akunor Dei, Kingsley Apusiga and 9 more

Abstract read
In one paragraph

Article in BMJ public health, 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

19 authors.

Larske M SoepnelDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.ORCID https://orcid.org/0000-0002-0076-7477
Catharina ConradieDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.
Hayli GeffenDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.ORCID https://orcid.org/0009-0009-0147-464X
Candice Choo-KangPublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0001-9150-1131
Pascal BovetUniversity Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-0242-4259
Bharathi ViswanathanRepublic of Seychelles Ministry of Health, Victoria, Seychelles.
Kweku Bedu-AddoKwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Prince Oti-BoatengKwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID https://orcid.org/0009-0007-0642-4540
Oscar Akunor DeiKwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Kingsley ApusigaKwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Terrence E ForresterSolutions for Developing Countries, The University of the West Indies, Kingston, Jamaica.
Estelle V LambertHealth through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.
Dale RaeHealth through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.
Nandipha SinyanyaHealth through Physical Activity, Lifestyle and Sport Research Centre & Division of Physiological Sciences, Department of Human Biology, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.
Julia GoedeckeBiomedical Research and Innovation Platform, South African Medical Research Council, Cape Town, Western Cape, South Africa.ORCID https://orcid.org/0000-0001-6795-4771
Jack A GilbertDepartment of Pediatrics, University of California San Diego, La Jolla, California, USA.
Brian T LaydenJesse Brown Department of Veterans Affairs Medical Center, Chicago, Illinois, USA.
Amy LukePublic Health Sciences, Parkinson School of Health Sciences and Public Health, Loyola University Chicago, Chicago, Illinois, USA.
Lara R DugasDivision of Epidemiology and Biostatistics, School of Public Health, University of Cape Town Faculty of Health Sciences, Cape Town, Western Cape, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity, high blood glucose and high blood pressure are major drivers of global morbidity. Characterising temporal trends in these conditions among people of African origin can direct public health efforts. This longitudinal cohort study aimed to characterise the prevalence and incidence of obesity, high blood glucose and high blood pressure over 8 years in five African-origin middle-aged populations spanning the Human Development Index and to explore temporal between-site and within-site differences. Methods: In 2009-2011, the Modeling the Epidemiologic Transition Study (METS) enrolled adults aged 25-45 years from Ghana, South Africa, Jamaica, Seychelles and the USA (n=500 each), with follow-up in 2018-2019. Standardised measurements included anthropometrics, blood pressure and capillary (baseline)/plasma (follow-up) glucose. We calculated prevalence and raw incidence rates (IRs). Generalised estimating equations (GEE) assessed longitudinal associations between outcomes, site and timepoint, adjusting for age, sex and covariates. Results: In 855 participants with complete data, the IR per 1000 person-years was 22.0 for obesity, 4.7 for high blood glucose and 27.4 for high blood pressure. Obesity prevalence and incidence were higher among women than among men. In GEE, the adjusted risk of obesity was significantly higher at follow-up than at baseline for Ghana, Jamaica and Seychelles. The prevalence of high blood glucose more than doubled between timepoints; the IR ranged from 3.0 (South Africa) to 7.1 (USA), with no statistically significant site differences in GEE analysis. For high blood pressure, Ghana, Jamaica and Seychelles showed a greater change in risk between baseline and follow-up, compared with the USA. Conclusions: The risk of obesity, high blood glucose and high blood pressure increased among middle-aged individuals over 8 years; in Ghana, Jamaica and Seychelles, the change in obesity and high blood pressure risk was statistically significantly greater than in the USA. This highlights the importance of non-communicable disease prevention and management, irrespective of country's HDI.

Indexed as

Diabetes MellitusHealth TransitionHypertensionIncidenceObesity

Identifiers

PMID41561565
PMCPMC12815035

What Socratic holds

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LicenceCC BY-NC
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Registered trials

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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 Socratic graph.