2017
Andre Pascal Kengne; James Bentham; Bin Zhou; Nasheeta Peer; Tandi E. Matsha; Honor Bixby; Mariachiara Di Cesare; Kaveh Hajifathalian; Yuan Lu; Cristina Taddei; Pascal Bovet; Catherine Kyobutungi; Charles Agyemang; Hajer Aounallah-Skhiri; Felix K. Assah; Amina Barkat; Habiba Ben Romdhane; Queenie Chan; Nishi Chaturvedi; Albertino Damasceno; Hélène Delisle; Francis Delpeuch; Kouamelan Doua; Eruke E. Egbagbe; Jalila El Ati; Paul Elliott; Reina Engle-Stone; Rajiv T. Erasmus; Heba M. Fouad; Dickman Gareta; Oye Gureje; Marleen Elisabeth Hendriks; Leila Houti; Mohsen M. Ibrahim; Han C G Kemper; Japhet Killewo; Sudhir Kowlessur; Herculina S. Kruger; Fatima Zahra Laamiri; Youcef Laid; Naomi S. Levitt; Nuno Lunet; Dianna J. Magliano; Bernard Maire; Yves Martin-Prevel; Sounnia Mediene-Benchekor; Mostafa K. Mohamed; Charles K. Mondo; Kotsedi Daniel Monyeki; Aya Mostafa; Martin Nankap; Ellis Owusu-Dabo; Tobias F Rinke Wit; Olfa Saidi; Constance Schultsz; Aletta E. Schutte; Idowu O. Senbanjo; Jonathan E. Shaw; Liam Smeeth; Eugène Sobngwi; Charles Sossa Jérome; Karien Stronks; Frank Tanser; Félicité Tchibindat; Pierre Traissac; Lechaba Tshepo; Fikru Tullu; Flora A M Ukoli; Bharathi Viswanathan; Alisha N. Wade; Goodarz Danaei; Gretchen A. Stevens; Leanne M. Riley; Majid Ezzati; Jean Claude N. Mbanya
Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies Article de journal
Dans: International Journal of Epidemiology, vol. 46, iss. 5, p. 1421-1432, 2017, ISSN: 0300-5771.
Résumé | Liens | BibTeX | Étiquettes: Adiposity, Africa, Body mass index, Diabetes, Prevalence, Trends
@article{Kengne2017,
title = {Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies},
author = {Andre Pascal Kengne and James Bentham and Bin Zhou and Nasheeta Peer and Tandi E. Matsha and Honor Bixby and Mariachiara Di Cesare and Kaveh Hajifathalian and Yuan Lu and Cristina Taddei and Pascal Bovet and Catherine Kyobutungi and Charles Agyemang and Hajer Aounallah-Skhiri and Felix K. Assah and Amina Barkat and Habiba Ben Romdhane and Queenie Chan and Nishi Chaturvedi and Albertino Damasceno and Hélène Delisle and Francis Delpeuch and Kouamelan Doua and Eruke E. Egbagbe and Jalila El Ati and Paul Elliott and Reina Engle-Stone and Rajiv T. Erasmus and Heba M. Fouad and Dickman Gareta and Oye Gureje and Marleen Elisabeth Hendriks and Leila Houti and Mohsen M. Ibrahim and Han C G Kemper and Japhet Killewo and Sudhir Kowlessur and Herculina S. Kruger and Fatima Zahra Laamiri and Youcef Laid and Naomi S. Levitt and Nuno Lunet and Dianna J. Magliano and Bernard Maire and Yves Martin-Prevel and Sounnia Mediene-Benchekor and Mostafa K. Mohamed and Charles K. Mondo and Kotsedi Daniel Monyeki and Aya Mostafa and Martin Nankap and Ellis Owusu-Dabo and Tobias F Rinke Wit and Olfa Saidi and Constance Schultsz and Aletta E. Schutte and Idowu O. Senbanjo and Jonathan E. Shaw and Liam Smeeth and Eugène Sobngwi and Charles Sossa Jérome and Karien Stronks and Frank Tanser and Félicité Tchibindat and Pierre Traissac and Lechaba Tshepo and Fikru Tullu and Flora A M Ukoli and Bharathi Viswanathan and Alisha N. Wade and Goodarz Danaei and Gretchen A. Stevens and Leanne M. Riley and Majid Ezzati and Jean Claude N. Mbanya},
url = {https://academic.oup.com/ije/article/46/5/1421/3861188},
doi = {10.1093/ije/dyx078},
issn = {0300-5771},
year = {2017},
date = {2017-01-01},
journal = {International Journal of Epidemiology},
volume = {46},
issue = {5},
pages = {1421-1432},
abstract = {Background: The 2016 Dar Es Salaam Call to Action on Diabetes and Other noncommunicable diseases (NCDs) advocates national multi-sectoral NCD strategies and action plans based on available data and information from countries of sub-Saharan Africa and beyond. We estimated trends from 1980 to 2014 in age-standardized mean body mass index (BMI) and diabetes prevalence in these countries, in order to assess the coprogression and assist policy formulation. Methods: We pooled data from African and worldwide population-based studies which measured height, weight and biomarkers to assess diabetes status in adults aged ≥18 years. A Bayesian hierarchical model was used to estimate trends by sex for 200 countries and territories including 53 countries across five African regions (central, eastern, northern, southern and western), in mean BMI and diabetes prevalence (defined as either fasting plasma glucose of ≥ 7.0 mmol/l, history of diabetes diagnosis, or use of insulin or oral glucose control agents). Results: African data came from 245 population-based surveys (1.2 million participants) for BMI and 76 surveys (182 000 participants) for diabetes prevalence estimates. Countries with the highest number of data sources for BMI were South Africa (n=17), Nigeria (n=15) and Egypt (n=13); and for diabetes estimates, Tanzania (n=8), Tunisia (n=7), and Cameroon, Egypt and South Africa (all n=6). The age-standardized mean BMI increased from 21.0 kg/m2 (95% credible interval: 20.3-21.7) to 23.0 kg/m2 (22.7-23.3) in men, and from 21.9 kg/m2 (21.3-22.5) to 24.9 kg/m2 (24.6-25.1) in women. The agestandardized prevalence of diabetes increased from 3.4% (1.5-6.3) to 8.5% (6.5-10.8) in men, and from 4.1% (2.0-7.5) to 8.9% (6.9-11.2) in women. Estimates in northern and southern regions were mostly higher than the global average; those in central, eastern and western regions were lower than global averages. A positive association (correlation coefficient ≃ 0.9) was observed between mean BMI and diabetes prevalence in both sexes in 1980 and 2014. Conclusions: These estimates, based on limited data sources, confirm the rapidly increasing burden of diabetes in Africa. This rise is being driven, at least in part, by increasing adiposity, with regional variations in observed trends. African countries' efforts to prevent and control diabetes and obesity should integrate the setting up of reliable monitoring systems, consistent with the World Health Organization's Global Monitoring System Framework.},
keywords = {Adiposity, Africa, Body mass index, Diabetes, Prevalence, Trends},
pubstate = {published},
tppubtype = {article}
}
Background: The 2016 Dar Es Salaam Call to Action on Diabetes and Other noncommunicable diseases (NCDs) advocates national multi-sectoral NCD strategies and action plans based on available data and information from countries of sub-Saharan Africa and beyond. We estimated trends from 1980 to 2014 in age-standardized mean body mass index (BMI) and diabetes prevalence in these countries, in order to assess the coprogression and assist policy formulation. Methods: We pooled data from African and worldwide population-based studies which measured height, weight and biomarkers to assess diabetes status in adults aged ≥18 years. A Bayesian hierarchical model was used to estimate trends by sex for 200 countries and territories including 53 countries across five African regions (central, eastern, northern, southern and western), in mean BMI and diabetes prevalence (defined as either fasting plasma glucose of ≥ 7.0 mmol/l, history of diabetes diagnosis, or use of insulin or oral glucose control agents). Results: African data came from 245 population-based surveys (1.2 million participants) for BMI and 76 surveys (182 000 participants) for diabetes prevalence estimates. Countries with the highest number of data sources for BMI were South Africa (n=17), Nigeria (n=15) and Egypt (n=13); and for diabetes estimates, Tanzania (n=8), Tunisia (n=7), and Cameroon, Egypt and South Africa (all n=6). The age-standardized mean BMI increased from 21.0 kg/m2 (95% credible interval: 20.3-21.7) to 23.0 kg/m2 (22.7-23.3) in men, and from 21.9 kg/m2 (21.3-22.5) to 24.9 kg/m2 (24.6-25.1) in women. The agestandardized prevalence of diabetes increased from 3.4% (1.5-6.3) to 8.5% (6.5-10.8) in men, and from 4.1% (2.0-7.5) to 8.9% (6.9-11.2) in women. Estimates in northern and southern regions were mostly higher than the global average; those in central, eastern and western regions were lower than global averages. A positive association (correlation coefficient ≃ 0.9) was observed between mean BMI and diabetes prevalence in both sexes in 1980 and 2014. Conclusions: These estimates, based on limited data sources, confirm the rapidly increasing burden of diabetes in Africa. This rise is being driven, at least in part, by increasing adiposity, with regional variations in observed trends. African countries' efforts to prevent and control diabetes and obesity should integrate the setting up of reliable monitoring systems, consistent with the World Health Organization's Global Monitoring System Framework.