Modifiable Behavioral Risk Factors Associated with Biological Risk Factors in Subjects at Risk of Type 2 Diabetes in Benin: PREDIBE Study

Metonnou, Clemence Germaine; Azandjèmé, Colette; Issiako, Bio Nigan; Sossa, Charles; Sopoh, Ghislain Emmanuel; Paraïso, Moussiliou Noël; Aguèh, Victoire

doi:10.4236/ojepi.2020.104034

Cited by 2 publications

(1 citation statement)

References 31 publications

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“…This result is close to that found by Bennasar-Veny et al among prediabetic Spanish workers, 4.6% of whom became diabetic at the one year follow-up [33]. Several modifiable behavioral risk factors were found to be associated with modifiable biological risk factors [34]. Many studies have shown results of progression to diabetes among the control group subjects.…”

Section: Data Quality and Validitysupporting

confidence: 89%

Effects of a Community-Based Intervention on the Lifestyle and Health of People at Risk of Type 2 Diabetes in Benin

Metonnou¹,

Azandjèmé²,

Sossa³

et al. 2022

FNS

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Introduction: Worldwide, the prevalence of type 2 diabetes (T2D) is increasing at an epidemic rate. The objective of this study was to measure the effects on lifestyle intervention in subjects at risk of T2D in a West African country. Methods: This study involved Beninese adults at risk of T2D randomly selected from 2 groups of villages: control villages and villages exposed to nutrition education, cooking demonstrations and physical activity sessions. Anthropometric, clinical, and biological measurements were taken in both groups at the beginning and end of the intervention, which lasted 12 months. The paired sample t-test was used to assess the effect of the intervention on the lifestyle of people at risk of T2D. Results: After 12 months of exposure to nutrition education, cooking demonstrations and physical activity sessions in the intervention villages, the mean body mass index, waist circumference, body fat percentage, blood glucose, triglycerides, total cholesterol and amount of alcohol consumed per week had significantly decreased. Conversely, the mean intensity of physical activity and food consumption score had significantly increased. In the control group, 5.6% of the people at risk developed to diabetes. The relative risk was RR = 0.20 [0.14 -0.56]. Conclusion: The intervention significantly improved metabolic indicators, intensity of leisure activity and dietary score. We suggest larger studies to better assess the effect of community-based interventions on the lifestyle and health of people at risk of T2D in Africa.

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Section: Data Quality and Validitysupporting

confidence: 89%