TY - JOUR
T1 - Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies
AU - Kengne, Andre Pascal
AU - Bentham, James
AU - Zhou, Bin
AU - Peer, Nasheeta
AU - Matsha, Tandi E.
AU - Bixby, Honor
AU - Di Cesare, Mariachiara
AU - Hajitathalian, Kaveh
AU - Lu, Yuan
AU - Taddei, Cristina
AU - Bovet, Pascal
AU - Kyobutungi, Catherine
AU - Agyemang, Charles
AU - Aounallah-Skhiri, Hajer
AU - Assah, Felix K.
AU - Barkat, Amina
AU - Ben Romdhane, Habiba
AU - Chan, Queenie
AU - Chaturvcdi, Nishi
AU - Damasceno, Albertino
AU - Delisle, Helene
AU - Delpeuch, Francis
AU - Doua, Kouamelan
AU - Egbagbe, Eruke E.
AU - El Ati, Jalila
AU - Elliott, Paul
AU - Engle-Stone, Reina
AU - Erasmus, Rajiv T.
AU - Fouad, Heba M.
AU - Gareta, Dickman
AU - Gureje, Oye
AU - Hendriks, Marleen Elisabeth
AU - Houti, Leila
AU - Ibrahim, Mohsen M.
AU - Kemper, Han C. G.
AU - Killewo, Japhet
AU - Kowlessur, Sudhir
AU - Kruger, Herculina S.
AU - Laamiri, Fatima Zahra
AU - Laid, Youcef
AU - Levitt, Naomi S.
AU - Lunet, Nuno
AU - Magliano, Dianna J.
AU - Maire, Bernard
AU - Martin-Prevel, Yves
AU - Mediene-Benchekor, Sounnia
AU - Mohamed, Mostafa K.
AU - Mondo, Charles K.
AU - Monyeki, Kotsedi Daniel
AU - Mostafa, Aya
AU - Nankap, Martin
AU - Owusu-Dabo, Ellis
AU - Rinke de Wit, Tobias F.
AU - Saidi, Olta
AU - Schultsz, Constance
AU - Schutte, Akita E.
AU - Senbanjo, Idowu O.
AU - Shaw, Jonathan E.
AU - Smeeth, Liam
AU - Sobngwi, Eugene
AU - Sossa Jérome, Charles
AU - Stronks, Karien
AU - Tanser, Frank
AU - Tchibindat, Felicite
AU - Traissac, Pierre
AU - Tshepo, Lechaba
AU - Tullu, Fikru
AU - Ukoli, Flora A. M.
AU - Viswanathan, Bharathi
AU - Wade, Alisha N.
AU - Danaei, Goodarz
AU - Stevens, Gretchen A.
AU - Riley, Leanne M.
AU - Ezzati, Majid
AU - Mbanya, Jean Claude N.
PY - 2017
Y1 - 2017
N2 - Background: The 2016 Dar Es Salaam Call to Action on Diabetes and Other non-communicable 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/m(2) (95% credible interval: 20.3-21.7) to 23.0 kg/m(2) (22.7-23.3) in men, and from 21.9 kg/m(2) (21.3-22.5) to 24.9 kg/m(2) (24.6-25.1) in women. The age-standardized 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 similar or equal to 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
AB - Background: The 2016 Dar Es Salaam Call to Action on Diabetes and Other non-communicable 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/m(2) (95% credible interval: 20.3-21.7) to 23.0 kg/m(2) (22.7-23.3) in men, and from 21.9 kg/m(2) (21.3-22.5) to 24.9 kg/m(2) (24.6-25.1) in women. The age-standardized 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 similar or equal to 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
U2 - https://doi.org/10.1093/ije/dyx078
DO - https://doi.org/10.1093/ije/dyx078
M3 - Article
C2 - 28582528
SN - 0300-5771
VL - 46
SP - 1421
EP - 1432
JO - International journal of epidemiology
JF - International journal of epidemiology
IS - 5
ER -