Evidence map›Paper›PMID 39696309›Full record

ArticleBMC endocrine disorders2024

Prevalence of diabetes and its associated factors in Cape Verde: an analysis of the 2020 WHO STEPS survey on non-communicable diseases risk factors.

Joshua Okyere, Castro Ayebeng, Kwamena Sekyi Dickson

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Article in BMC endocrine disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Joshua OkyereDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana. joshuaokyere54@gmail.com.
Castro AyebengDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.
Kwamena Sekyi DicksonDepartment of Population and Health, University of Cape Coast, Cape Coast, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus (T2DM) represents a significant global health challenge, with its prevalence steadily rising across diverse populations. Understanding the factors associated with T2DM is crucial for effective prevention and management strategies. In Cape Verde, an archipelago nation off the coast of West Africa, the burden of T2DM is of particular concern, yet comprehensive studies investigating its determinants in this context remain sparse. This study aims to narrow the knowledge gap by assessing the prevalence of prediabetes, T2DM and its associated factors among the adult Cape Verdean population.

methodsData from the WHO STEPs survey were used. We analyzed data from 1,936 adults aged 18-69 years. The outcome variable was diabetes status computed using the fasting blood glucose (mg/dl). The data was weighted before the analysis to account for sampling biases. Multinomial logistic regression models were computed in STATA version 18.

resultsThe overall prevalence of prediabetes and T2DM was 7.8% (95% CI: 6.1-9.9) and 3.9% (95% CI: 3.1-4.9), respectively. Increasing age was associated with a higher odd of prediabetes and T2DM with the highest odds observed among older adults [(prediabetes: AORs = 3.20, 95%CI: 1.88-5.54) and T2DM: AOR = 3.51, 95%CI: 1.71-7.18)]. Additionally, high total cholesterol levels were linked to increased odds of T2DM (AOR = 2.48, 95%CI: 1.64-3.76). Individuals who consumed less than four servings of vegetables daily had higher odds of T2DM (AOR = 1.74, 95%CI: 1.12-2.71) while being overweight/obese was associated with higher odds of prediabetes (AOR = 1.57, 95%CI: 1.10-2.23). Urban residents had higher odds of T2DM than rural residents (AOR = 1.92, 95%CI: 1.23-3.00). Also, higher educational attainment was associated with lower odds of T2DM only (AOR = 0.33, 95%CI: 0.12-0.88) but not statistically significant for prediabetes.

conclusionBased on the findings, we conclude that ageing, overweight/obesity, vegetable consumption and total cholesterol level are important predictors of pre-diabetes and T2DM in Cape Verde. As such, weight management and cholesterol management should be integral parts of T2DM prevention strategies. Additionally, clinicians and diabetes societies in Cape Verde must make the promotion of vegetable consumption a key component of their health advice and advocacy. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAdolescentAdultAgedCabo VerdeCross-Sectional StudiesFemaleHumansMaleMiddle AgedNoncommunicable DiseasesPrevalenceRisk FactorsSurveys and QuestionnairesWorld Health OrganizationChronic diseasesDiabetesEpidemiologyPublic healthRisk factors

Identifiers

PMID39696309
PMCPMC11654418

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LicenceCC BY-NC-ND
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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 Socratic graph.