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Incident type 2 diabetes and its risk factors in men and women aged 40–60 years from four sub-Saharan African countries: results from the AWI-Gen study

Incident type 2 diabetes and its risk factors in men and women aged 40–60 years from four sub-Saharan African countries: results from the AWI-Gen study
Incident type 2 diabetes and its risk factors in men and women aged 40–60 years from four sub-Saharan African countries: results from the AWI-Gen study
Background: the incidence of type 2 diabetes in sub-Saharan Africa is expected to increase, but few longitudinal studies have characterised its risk factors. This study aimed to determine the incidence of type 2 diabetes over 33 481 person-years and identify its principal risk factors in middle-aged adults (ie, those aged 40-60 years) from four sub-Saharan African countries.

Methods: longitudinal data were available from 6553 participants aged 40-60 years at baseline from study centres in South Africa, Kenya, Ghana, and Burkina Faso. Sociodemographic, behavioural, clinical, and biochemical data were collected at baseline and after an interval of 5-6 years. The prevalence of type 2 diabetes was determined at each timepoint and diabetes incidence was calculated. A two-stage individual participant data meta-analysis was used to identify baseline risk factors for incident diabetes.

Findings: the overall incidence of type 2 diabetes was 14·6 (95% CI 13·4-16·0) cases per 1000 person-years. The incidence was highest in South Africa with 21·8 (19·5-24·4) cases per 1000 person-years, and lowest in west Africa with 5·5 (4·4-6·9) cases per 1000 person-years. Baseline glucose (adjusted odds ratio 1·37; 95% CI 1·16-1·42), being male (1·32; 1·12-1·54), family history of type 2 diabetes (1·22; 1·01-1·46), unemployment (1·19; 1·03-1·37), hypertension (1·21; 1·01-1·45), BMI (1·03; 1·02-1·04), and waist circumference (1·02; 1·01-1·03), were associated with a higher risk of incident type 2 diabetes, while adequate baseline physical activity (0·87; 0·76-1·00) was associated with lower risk.

Interpretation: the high incidence of type 2 diabetes in this middle-aged sub-Saharan Africa population is influenced by several modifiable risk factors that should inform interventions to mitigate the disease burden.

Funding: National Institutes of Health, Department of Science and Innovation (South Africa), and the South African Medical Research Council.
2214-109X
e459-e466
Chikwati, Raylton P.
6e06dbe6-d28b-4697-8517-79be30152d3a
Crowther, Nigel John
74cec403-62e5-4393-9faf-6fb824e27f7c
Ramsay, Michèle
75c868d6-bac7-4db2-b611-d498ab0d12fc
Micklesfield, Lisa K.
e73dd95b-ce79-4dc4-b0be-a8935eb069c8
Norris, Shane A.
1d346f1b-6d5f-4bca-ac87-7589851b75a4
Seakamela, Kagiso P.
a5157430-91f2-4433-97c5-d34b4fc587b5
Nonterah, Engelbert A.
63e27d74-7d7b-4fd5-bbbf-41e4a6e02ddf
Agongo, Godfred
0d335cba-7025-45bb-bb5b-86c09c2ee944
Mohamed, Shukri F.
5cd7ea31-1f82-485a-bfb8-c43cebf7caff
Kisiangani, Isaac
32b2b57d-16f0-4529-9273-df082705bf98
Boua, Palwendé R.
3134b898-f460-497d-b0a1-4a7adb7f9347
Wade, Alisha N.
7d929a5e-114b-4499-bde4-b1047a611f26
AWI-Gen and the H3Africa Consortium
Chikwati, Raylton P.
6e06dbe6-d28b-4697-8517-79be30152d3a
Crowther, Nigel John
74cec403-62e5-4393-9faf-6fb824e27f7c
Ramsay, Michèle
75c868d6-bac7-4db2-b611-d498ab0d12fc
Micklesfield, Lisa K.
e73dd95b-ce79-4dc4-b0be-a8935eb069c8
Norris, Shane A.
1d346f1b-6d5f-4bca-ac87-7589851b75a4
Seakamela, Kagiso P.
a5157430-91f2-4433-97c5-d34b4fc587b5
Nonterah, Engelbert A.
63e27d74-7d7b-4fd5-bbbf-41e4a6e02ddf
Agongo, Godfred
0d335cba-7025-45bb-bb5b-86c09c2ee944
Mohamed, Shukri F.
5cd7ea31-1f82-485a-bfb8-c43cebf7caff
Kisiangani, Isaac
32b2b57d-16f0-4529-9273-df082705bf98
Boua, Palwendé R.
3134b898-f460-497d-b0a1-4a7adb7f9347
Wade, Alisha N.
7d929a5e-114b-4499-bde4-b1047a611f26

Chikwati, Raylton P., Crowther, Nigel John, Ramsay, Michèle, Micklesfield, Lisa K., Norris, Shane A., Seakamela, Kagiso P., Nonterah, Engelbert A., Agongo, Godfred, Mohamed, Shukri F., Kisiangani, Isaac, Boua, Palwendé R. and Wade, Alisha N. , AWI-Gen and the H3Africa Consortium (2025) Incident type 2 diabetes and its risk factors in men and women aged 40–60 years from four sub-Saharan African countries: results from the AWI-Gen study. The Lancet Global Health, 13 (3), e459-e466. (doi:10.1016/S2214-109X(24)00520-5).

Record type: Article

Abstract

Background: the incidence of type 2 diabetes in sub-Saharan Africa is expected to increase, but few longitudinal studies have characterised its risk factors. This study aimed to determine the incidence of type 2 diabetes over 33 481 person-years and identify its principal risk factors in middle-aged adults (ie, those aged 40-60 years) from four sub-Saharan African countries.

Methods: longitudinal data were available from 6553 participants aged 40-60 years at baseline from study centres in South Africa, Kenya, Ghana, and Burkina Faso. Sociodemographic, behavioural, clinical, and biochemical data were collected at baseline and after an interval of 5-6 years. The prevalence of type 2 diabetes was determined at each timepoint and diabetes incidence was calculated. A two-stage individual participant data meta-analysis was used to identify baseline risk factors for incident diabetes.

Findings: the overall incidence of type 2 diabetes was 14·6 (95% CI 13·4-16·0) cases per 1000 person-years. The incidence was highest in South Africa with 21·8 (19·5-24·4) cases per 1000 person-years, and lowest in west Africa with 5·5 (4·4-6·9) cases per 1000 person-years. Baseline glucose (adjusted odds ratio 1·37; 95% CI 1·16-1·42), being male (1·32; 1·12-1·54), family history of type 2 diabetes (1·22; 1·01-1·46), unemployment (1·19; 1·03-1·37), hypertension (1·21; 1·01-1·45), BMI (1·03; 1·02-1·04), and waist circumference (1·02; 1·01-1·03), were associated with a higher risk of incident type 2 diabetes, while adequate baseline physical activity (0·87; 0·76-1·00) was associated with lower risk.

Interpretation: the high incidence of type 2 diabetes in this middle-aged sub-Saharan Africa population is influenced by several modifiable risk factors that should inform interventions to mitigate the disease burden.

Funding: National Institutes of Health, Department of Science and Innovation (South Africa), and the South African Medical Research Council.

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e-pub ahead of print date: 26 February 2025
Published date: 26 February 2025

Identifiers

Local EPrints ID: 505019
URI: http://eprints.soton.ac.uk/id/eprint/505019
ISSN: 2214-109X
PURE UUID: 72966b4e-ca12-4cde-9675-99ab5dec21c4
ORCID for Shane A. Norris: ORCID iD orcid.org/0000-0001-7124-3788

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Date deposited: 24 Sep 2025 16:32
Last modified: 25 Sep 2025 02:01

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Contributors

Author: Raylton P. Chikwati
Author: Nigel John Crowther
Author: Michèle Ramsay
Author: Lisa K. Micklesfield
Author: Shane A. Norris ORCID iD
Author: Kagiso P. Seakamela
Author: Engelbert A. Nonterah
Author: Godfred Agongo
Author: Shukri F. Mohamed
Author: Isaac Kisiangani
Author: Palwendé R. Boua
Author: Alisha N. Wade
Corporate Author: AWI-Gen and the H3Africa Consortium

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