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Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey

BACKGROUND: Diabetes Mellitus is one of the four major non-communicable diseases causing about 4 million deaths in 2017. By 2040, low income countries are projected to experience 92% increase in mortality due to diabetes. Undiagnosed diabetes poses a public health concern with costly public health i...

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Autores principales: Mohamed, Shukri F, Mwangi, Martin, Mutua, Martin K, Kibachio, Joseph, Hussein, Abubakar, Ndegwa, Zachary, Owondo, Scholastica, Asiki, Gershim, Kyobutungi, Catherine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218998/
https://www.ncbi.nlm.nih.gov/pubmed/30400865
http://dx.doi.org/10.1186/s12889-018-6053-x
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author Mohamed, Shukri F
Mwangi, Martin
Mutua, Martin K
Kibachio, Joseph
Hussein, Abubakar
Ndegwa, Zachary
Owondo, Scholastica
Asiki, Gershim
Kyobutungi, Catherine
author_facet Mohamed, Shukri F
Mwangi, Martin
Mutua, Martin K
Kibachio, Joseph
Hussein, Abubakar
Ndegwa, Zachary
Owondo, Scholastica
Asiki, Gershim
Kyobutungi, Catherine
author_sort Mohamed, Shukri F
collection PubMed
description BACKGROUND: Diabetes Mellitus is one of the four major non-communicable diseases causing about 4 million deaths in 2017. By 2040, low income countries are projected to experience 92% increase in mortality due to diabetes. Undiagnosed diabetes poses a public health concern with costly public health implications especially in Africa. It is therefore crucial to examine the burden and risk factors for diabetes at national level to inform policy and national programs. METHODS: Data from the 2015 Kenya national STEPs survey of adults aged 18–69 years were used. Pre-diabetes was defined as impaired fasting blood glucose level (6.1 mmol/l to < 7 mmol/l) while diabetes was defined as impaired fasting blood glucose level ≥ 7 mmol/l. Descriptive statistics were used to determine the prevalence of pre-diabetes and diabetes and logistic regression was used to identify associated factors. RESULTS: Complete data for 4069 respondents (51% females), with 46% aged 18–29 and 61% in rural areas were analyzed. The age-standardized prevalence for pre-diabetes and diabetes were 3.1% (95% CI: 2.2, 4.0) and 2.4% (1.8, 3.0) respectively. Only 43.7% were aware of their glycemic condition, one in five of those who had diabetes had received treatment, and only 7% of those diagnosed with diabetes had their blood glucose under control. Primary education ((both incomplete (0.21, 95%CI 0.10–0.47) and complete (0.40, 95%CI 0.23–0.71)) were associated with lower odds of pre-diabetes. Older age (60–69 years, AOR; 5.6, 95%CI 2.1–15.1) and raised blood pressure (2.8, 95% CI 1.5–5.0) were associated diabetes while overweight/obesity among women was associated with diabetes. CONCLUSION: The overall diabetes prevalence in Kenya is consistent with what has been reported in other sub-Saharan African countries. Of concern is the higher prevalence of pre-diabetes and undiagnosed diabetes that can progress to complications in the absence of interventions and the low diabetes awareness and control. This is the first nationally representative study to identify important groups at risk of pre-diabetes and diabetes that can be targeted for screening, health promotion and treatment.
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spelling pubmed-62189982018-11-16 Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey Mohamed, Shukri F Mwangi, Martin Mutua, Martin K Kibachio, Joseph Hussein, Abubakar Ndegwa, Zachary Owondo, Scholastica Asiki, Gershim Kyobutungi, Catherine BMC Public Health Research BACKGROUND: Diabetes Mellitus is one of the four major non-communicable diseases causing about 4 million deaths in 2017. By 2040, low income countries are projected to experience 92% increase in mortality due to diabetes. Undiagnosed diabetes poses a public health concern with costly public health implications especially in Africa. It is therefore crucial to examine the burden and risk factors for diabetes at national level to inform policy and national programs. METHODS: Data from the 2015 Kenya national STEPs survey of adults aged 18–69 years were used. Pre-diabetes was defined as impaired fasting blood glucose level (6.1 mmol/l to < 7 mmol/l) while diabetes was defined as impaired fasting blood glucose level ≥ 7 mmol/l. Descriptive statistics were used to determine the prevalence of pre-diabetes and diabetes and logistic regression was used to identify associated factors. RESULTS: Complete data for 4069 respondents (51% females), with 46% aged 18–29 and 61% in rural areas were analyzed. The age-standardized prevalence for pre-diabetes and diabetes were 3.1% (95% CI: 2.2, 4.0) and 2.4% (1.8, 3.0) respectively. Only 43.7% were aware of their glycemic condition, one in five of those who had diabetes had received treatment, and only 7% of those diagnosed with diabetes had their blood glucose under control. Primary education ((both incomplete (0.21, 95%CI 0.10–0.47) and complete (0.40, 95%CI 0.23–0.71)) were associated with lower odds of pre-diabetes. Older age (60–69 years, AOR; 5.6, 95%CI 2.1–15.1) and raised blood pressure (2.8, 95% CI 1.5–5.0) were associated diabetes while overweight/obesity among women was associated with diabetes. CONCLUSION: The overall diabetes prevalence in Kenya is consistent with what has been reported in other sub-Saharan African countries. Of concern is the higher prevalence of pre-diabetes and undiagnosed diabetes that can progress to complications in the absence of interventions and the low diabetes awareness and control. This is the first nationally representative study to identify important groups at risk of pre-diabetes and diabetes that can be targeted for screening, health promotion and treatment. BioMed Central 2018-11-07 /pmc/articles/PMC6218998/ /pubmed/30400865 http://dx.doi.org/10.1186/s12889-018-6053-x Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Mohamed, Shukri F
Mwangi, Martin
Mutua, Martin K
Kibachio, Joseph
Hussein, Abubakar
Ndegwa, Zachary
Owondo, Scholastica
Asiki, Gershim
Kyobutungi, Catherine
Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey
title Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey
title_full Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey
title_fullStr Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey
title_full_unstemmed Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey
title_short Prevalence and factors associated with pre-diabetes and diabetes mellitus in Kenya: results from a national survey
title_sort prevalence and factors associated with pre-diabetes and diabetes mellitus in kenya: results from a national survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6218998/
https://www.ncbi.nlm.nih.gov/pubmed/30400865
http://dx.doi.org/10.1186/s12889-018-6053-x
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