Evidence map›Paper›PMID 30400865›Full record

ArticleBMC public health2018

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

Shukri F Mohamed, Martin Mwangi, Martin K Mutua, Joseph Kibachio, Abubakar Hussein, Zachary Ndegwa, Scholastica Owondo, Gershim Asiki, Catherine Kyobutungi

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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76citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Antihyperglycemic and antioxidant potential ofAnnals of medicine and surgery (2012) · 2026
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  13. Prevalence of prediabetes and associated risk factors among peri-urban dwelling adults in Blantyre, Malawi.Malawi medical journal : the journal of Medical Association of Malawi · 2025
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16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shukri F MohamedHealth and Systems for Health Unit, African Population and Health Research Center (APHRC), Nairobi, Kenya. smohamed@aphrc.org.
Martin MwangiField Epidemiology and Laboratory Training Programme, Ministry of Health, Nairobi, Kenya.
Martin K MutuaHealth and Systems for Health Unit, African Population and Health Research Center (APHRC), Nairobi, Kenya.
Joseph KibachioNCD unit, Ministry of Health, Nairobi, Kenya.
Abubakar HusseinField Epidemiology and Laboratory Training Programme, Ministry of Health, Nairobi, Kenya.
Zachary NdegwaNCD unit, Ministry of Health, Nairobi, Kenya.
Scholastica OwondoNCD unit, Ministry of Health, Nairobi, Kenya.
Gershim AsikiHealth and Systems for Health Unit, African Population and Health Research Center (APHRC), Nairobi, Kenya.
Catherine KyobutungiHealth and Systems for Health Unit, African Population and Health Research Center (APHRC), Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes 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.

methodsData 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.

resultsComplete 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.

conclusionThe 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.

Indexed as

AdolescentAdultAgedDiabetes MellitusFemaleHumansKenyaMaleMiddle AgedPrediabetic StatePrevalenceRisk FactorsSurveys and QuestionnairesYoung AdultAwarenessBlood glucoseControlDiabetesKenyaNon-communicable diseasePre-diabetesTreatment

Identifiers

PMID30400865
PMCPMC6218998

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.