Cargando…
Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data
BACKGROUND: The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate d...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560068/ https://www.ncbi.nlm.nih.gov/pubmed/37734801 http://dx.doi.org/10.1016/S2214-109X(23)00348-0 |
_version_ | 1785117650389565440 |
---|---|
author | Rahim, Nicholas Errol Flood, David Marcus, Maja E Theilmann, Michaela Aung, Taing N Agoudavi, Kokou Aryal, Krishna Kumar Bahendeka, Silver Bicaba, Brice Bovet, Pascal Diallo, Alpha Oumar Farzadfar, Farshad Guwatudde, David Houehanou, Corine Houinato, Dismand Hwalla, Nahla Jorgensen, Jutta Kagaruki, Gibson Bernard Mayige, Mary Wong-McClure, Roy Larijani, Bagher Moghaddam, Sahar Saeedi Mwalim, Omar Mwangi, Kibachio Joseph Sarkar, Sudipa Sibai, Abla M Sturua, Lela Wesseh, Chea Geldsetzer, Pascal Atun, Rifat Vollmer, Sebastian Bärnighausen, Till Davies, Justine Ali, Mohammed K Seiglie, Jacqueline A Manne-Goehler, Jennifer |
author_facet | Rahim, Nicholas Errol Flood, David Marcus, Maja E Theilmann, Michaela Aung, Taing N Agoudavi, Kokou Aryal, Krishna Kumar Bahendeka, Silver Bicaba, Brice Bovet, Pascal Diallo, Alpha Oumar Farzadfar, Farshad Guwatudde, David Houehanou, Corine Houinato, Dismand Hwalla, Nahla Jorgensen, Jutta Kagaruki, Gibson Bernard Mayige, Mary Wong-McClure, Roy Larijani, Bagher Moghaddam, Sahar Saeedi Mwalim, Omar Mwangi, Kibachio Joseph Sarkar, Sudipa Sibai, Abla M Sturua, Lela Wesseh, Chea Geldsetzer, Pascal Atun, Rifat Vollmer, Sebastian Bärnighausen, Till Davies, Justine Ali, Mohammed K Seiglie, Jacqueline A Manne-Goehler, Jennifer |
author_sort | Rahim, Nicholas Errol |
collection | PubMed |
description | BACKGROUND: The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate diabetes prevention activities, and explore sociodemographic variation in these activities across LMICs. METHODS: We performed a pooled, cross-sectional analysis of individual-level data from nationally representative, population-based surveys conducted in 44 LMICs between October, 2009, and May, 2019. Our sample included all participants older than 25 years who did not have diabetes and were not pregnant. We defined the population at high risk of diabetes on the basis of either the presence of impaired fasting glucose (or prediabetes in countries with a haemoglobin A(1c) available) or overweight or obesity, consistent with the WHO Package of Essential Noncommunicable Disease Guidelines for type 2 diabetes management. We estimated the proportion of survey participants that were at high risk of developing diabetes based on this definition. We also estimated the proportion of the population at high risk that reported each of four fundamental diabetes prevention activities: physical activity counselling, weight loss counselling, dietary counselling, and blood glucose screening, overall and stratified by World Bank income group. Finally, we used multivariable Poisson regression models to evaluate associations between sociodemographic characteristics and these activities. FINDINGS: The final pooled sample included 145 739 adults (86 269 [59·2%] of whom were female and 59 468 [40·4%] of whom were male) across 44 LMICs, of whom 59 308 (40·6% [95% CI 38·5–42·8]) were considered at high risk of diabetes (20·6% [19·8–21·5] in low-income countries, 38·0% [37·2–38·9] in lower-middle-income countries, and 57·5% [54·3–60·6] in upper-middle-income countries). Overall, the reach of diabetes prevention activities was low at 40·0% (38·6–41·4) for physical activity counselling, 37·1% (35·9–38·4) for weight loss counselling, 42·7% (41·6–43·7) for dietary counselling, and 37·1% (34·7–39·6) for blood glucose screening. Diabetes prevention varied widely by national-level wealth: 68·1% (64·6–71·4) of people at high risk of diabetes in low-income countries reported none of these activities, whereas 49·0% (47·4–50·7) at high risk in upper-middle-income countries reported at least three activities. Educational attainment was associated with diabetes prevention, with estimated increases in the predicted probability of receipt ranging between 6·5 (3·6–9·4) percentage points for dietary fruit and vegetable counselling and 21·3 (19·5–23·2) percentage points for blood glucose screening, among people with some secondary schooling compared with people with no formal education. INTERPRETATION: A large proportion of individuals across LMICs are at high risk of diabetes but less than half reported receiving fundamental prevention activities overall, with the lowest receipt of these activities among people in low-income countries and with no formal education. These findings offer foundational evidence to inform future global targets for diabetes prevention and to strengthen policies and programmes to prevent continued increases in diabetes worldwide. FUNDING: Harvard T H Chan School of Public Health McLennan Fund: Dean’s Challenge Grant Program and the EU’s Research and Innovation programme Horizon 2020. |
format | Online Article Text |
id | pubmed-10560068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
record_format | MEDLINE/PubMed |
spelling | pubmed-105600682023-10-07 Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data Rahim, Nicholas Errol Flood, David Marcus, Maja E Theilmann, Michaela Aung, Taing N Agoudavi, Kokou Aryal, Krishna Kumar Bahendeka, Silver Bicaba, Brice Bovet, Pascal Diallo, Alpha Oumar Farzadfar, Farshad Guwatudde, David Houehanou, Corine Houinato, Dismand Hwalla, Nahla Jorgensen, Jutta Kagaruki, Gibson Bernard Mayige, Mary Wong-McClure, Roy Larijani, Bagher Moghaddam, Sahar Saeedi Mwalim, Omar Mwangi, Kibachio Joseph Sarkar, Sudipa Sibai, Abla M Sturua, Lela Wesseh, Chea Geldsetzer, Pascal Atun, Rifat Vollmer, Sebastian Bärnighausen, Till Davies, Justine Ali, Mohammed K Seiglie, Jacqueline A Manne-Goehler, Jennifer Lancet Glob Health Article BACKGROUND: The global burden of diabetes is rising rapidly, yet there is little evidence on individual-level diabetes prevention activities undertaken by health systems in low-income and middle-income countries (LMICs). Here we describe the population at high risk of developing diabetes, estimate diabetes prevention activities, and explore sociodemographic variation in these activities across LMICs. METHODS: We performed a pooled, cross-sectional analysis of individual-level data from nationally representative, population-based surveys conducted in 44 LMICs between October, 2009, and May, 2019. Our sample included all participants older than 25 years who did not have diabetes and were not pregnant. We defined the population at high risk of diabetes on the basis of either the presence of impaired fasting glucose (or prediabetes in countries with a haemoglobin A(1c) available) or overweight or obesity, consistent with the WHO Package of Essential Noncommunicable Disease Guidelines for type 2 diabetes management. We estimated the proportion of survey participants that were at high risk of developing diabetes based on this definition. We also estimated the proportion of the population at high risk that reported each of four fundamental diabetes prevention activities: physical activity counselling, weight loss counselling, dietary counselling, and blood glucose screening, overall and stratified by World Bank income group. Finally, we used multivariable Poisson regression models to evaluate associations between sociodemographic characteristics and these activities. FINDINGS: The final pooled sample included 145 739 adults (86 269 [59·2%] of whom were female and 59 468 [40·4%] of whom were male) across 44 LMICs, of whom 59 308 (40·6% [95% CI 38·5–42·8]) were considered at high risk of diabetes (20·6% [19·8–21·5] in low-income countries, 38·0% [37·2–38·9] in lower-middle-income countries, and 57·5% [54·3–60·6] in upper-middle-income countries). Overall, the reach of diabetes prevention activities was low at 40·0% (38·6–41·4) for physical activity counselling, 37·1% (35·9–38·4) for weight loss counselling, 42·7% (41·6–43·7) for dietary counselling, and 37·1% (34·7–39·6) for blood glucose screening. Diabetes prevention varied widely by national-level wealth: 68·1% (64·6–71·4) of people at high risk of diabetes in low-income countries reported none of these activities, whereas 49·0% (47·4–50·7) at high risk in upper-middle-income countries reported at least three activities. Educational attainment was associated with diabetes prevention, with estimated increases in the predicted probability of receipt ranging between 6·5 (3·6–9·4) percentage points for dietary fruit and vegetable counselling and 21·3 (19·5–23·2) percentage points for blood glucose screening, among people with some secondary schooling compared with people with no formal education. INTERPRETATION: A large proportion of individuals across LMICs are at high risk of diabetes but less than half reported receiving fundamental prevention activities overall, with the lowest receipt of these activities among people in low-income countries and with no formal education. These findings offer foundational evidence to inform future global targets for diabetes prevention and to strengthen policies and programmes to prevent continued increases in diabetes worldwide. FUNDING: Harvard T H Chan School of Public Health McLennan Fund: Dean’s Challenge Grant Program and the EU’s Research and Innovation programme Horizon 2020. 2023-10 /pmc/articles/PMC10560068/ /pubmed/37734801 http://dx.doi.org/10.1016/S2214-109X(23)00348-0 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article under the CC BY-NC-ND 4.0 license. |
spellingShingle | Article Rahim, Nicholas Errol Flood, David Marcus, Maja E Theilmann, Michaela Aung, Taing N Agoudavi, Kokou Aryal, Krishna Kumar Bahendeka, Silver Bicaba, Brice Bovet, Pascal Diallo, Alpha Oumar Farzadfar, Farshad Guwatudde, David Houehanou, Corine Houinato, Dismand Hwalla, Nahla Jorgensen, Jutta Kagaruki, Gibson Bernard Mayige, Mary Wong-McClure, Roy Larijani, Bagher Moghaddam, Sahar Saeedi Mwalim, Omar Mwangi, Kibachio Joseph Sarkar, Sudipa Sibai, Abla M Sturua, Lela Wesseh, Chea Geldsetzer, Pascal Atun, Rifat Vollmer, Sebastian Bärnighausen, Till Davies, Justine Ali, Mohammed K Seiglie, Jacqueline A Manne-Goehler, Jennifer Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data |
title | Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data |
title_full | Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data |
title_fullStr | Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data |
title_full_unstemmed | Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data |
title_short | Diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data |
title_sort | diabetes risk and provision of diabetes prevention activities in 44 low-income and middle-income countries: a cross-sectional analysis of nationally representative, individual-level survey data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560068/ https://www.ncbi.nlm.nih.gov/pubmed/37734801 http://dx.doi.org/10.1016/S2214-109X(23)00348-0 |
work_keys_str_mv | AT rahimnicholaserrol diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT flooddavid diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT marcusmajae diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT theilmannmichaela diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT aungtaingn diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT agoudavikokou diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT aryalkrishnakumar diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT bahendekasilver diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT bicababrice diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT bovetpascal diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT dialloalphaoumar diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT farzadfarfarshad diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT guwatuddedavid diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT houehanoucorine diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT houinatodismand diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT hwallanahla diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT jorgensenjutta diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT kagarukigibsonbernard diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT mayigemary diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT wongmcclureroy diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT larijanibagher diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT moghaddamsaharsaeedi diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT mwalimomar diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT mwangikibachiojoseph diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT sarkarsudipa diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT sibaiablam diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT sturualela diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT wessehchea diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT geldsetzerpascal diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT atunrifat diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT vollmersebastian diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT barnighausentill diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT daviesjustine diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT alimohammedk diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT seigliejacquelinea diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata AT mannegoehlerjennifer diabetesriskandprovisionofdiabetespreventionactivitiesin44lowincomeandmiddleincomecountriesacrosssectionalanalysisofnationallyrepresentativeindividuallevelsurveydata |