Prevalence and factors associated with hyperglycemia in a rural population of Tanvè and Dékanmey in Benin in 2019

Amegan, Nicolas Hamondji; Amidou, Salimanou Ariyoh; Houéhanou, Corine; Robin, Helene; Gbaguidi, Gwladys Nadia; Fassinou, Corine Agathe Lucresse; Amoussou-Guenou, K. Daniel; Preux, Pierre‐Marie; Lacroix, Philippe; Houinato, Stephan Dismand

doi:10.1371/journal.pgph.0000471

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…We found age (≥40 years) (preD: OR 1.717, P < 0.001; type 2 diabetes: OR 3.238, P < 0.001) and family history of diabetes (preD: OR 1.147, P = 0.303; type 2 diabetes: OR 2.783, P < 0.001) as the two common nonmodifiable predictors of hyperglycemia supported by other studies in rural settings 43 , 44 . The impact of age on hyperglycemia has already been described in this article and several possible mechanisms mentioned according to evidence 37 .…”

Section: Discussionsupporting

confidence: 83%

Baseline prevalence of hyperglycemia and its predictors among community clinic users of a selected rural area of Bangladesh: A cross‐sectional study using the WHO PEN Protocol 1

Faruque,

Barua,

Rakhshanda

et al. 2023

J of Diabetes Invest

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Aims/IntroductionOur objective was to estimate the prevalence of hyperglycemia at baseline, and identify its predictors among community clinic (CC) users from a selected rural area of Bangladesh.Materials and MethodsThis cross‐sectional study partly used the baseline data of implementation research in which a total of 11,244 adults visited the CC, and their blood glucose, blood pressure and anthropometry were evaluated according to ‘Action 2’ of the World Health Organization (WHO) Package of Essential Noncommunicable Disease Interventions (PEN) protocol 1. Of these, 11,144 had complete information on demography, chronic diseases and their risk factors, which were collected during the implementation of ‘Action 1’ of WHO PEN protocol 1 at the household level. Hyperglycemia, prediabetes (PreD) and type 2 diabetes were diagnosed using the WHO criteria.ResultsUsing WHO PEN protocol 1, the estimated baseline prevalence was 12.5% for hyperglycemia, 3.4% for PreD and 9.2% for type 2 diabetes, and was more prevalent among men compared with women. PreD and type 2 diabetes had significantly higher odds ratio (OR >1) of having common risk factors as follows: age ≥40 years (PreD, P < 0.001; type 2 diabetes, P < 0.001), generalized obesity (PreD, P < 0.001; type 2 diabetes, P = 0.005) and hypertension (PreD, P < 0.000; type 2 diabetes, P < 0.001). Furthermore, participants with a family history of diabetes appeared to be a significant predictor of type 2 diabetes (P < 0.001), but not for PreD (P = 0.303).ConclusionsHyperglycemia, preD and type 2 diabetes showed a comparatively high prevalence among the CC users of the selected rural area. Obesity and hypertension are the key modifiable risk factors that should be reduced using a CC‐centered risk reduction strategy.

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Section: Discussionsupporting

confidence: 83%

Baseline prevalence of hyperglycemia and its predictors among community clinic users of a selected rural area of Bangladesh: A cross‐sectional study using the WHO PEN Protocol 1

Faruque,

Barua,

Rakhshanda

et al. 2023

J of Diabetes Invest

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High-resolution mapping of gastric slow wave uncoupling induced by glucagon

Nagahawatte,

Avci,

Cheng

2024

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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High-energy pacing inhibits slow-wave dysrhythmias in the small intestine

Nagahawatte,

Avci,

Paskaranandavadivel

et al. 2024

American Journal of Physiology-Gastrointestinal and Liver Physi

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The motility of the gastrointestinal tract is coordinated in part by rhythmic slow waves, and disrupted slow wave patterns are linked to functional motility disorders. At present, there are no treatment strategies that primarily target slow wave activity. This study assessed the use of pacing to suppress glucagon-induced slow wave dysrhythmias in the small intestine. Slow waves in the jejunum were mapped in vivo using a high-resolution surface-contact electrode array in pigs (n=7). Glucagon was intravenously administered to induce hyperglycemia. Slow wave propagation patterns were categorized into antegrade, retrograde, collision, pacemaker and uncoupled activity. Slow wave characteristics such as period, amplitude and speed were also quantified. Post-glucagon infusion, pacing was applied at 4 mA and 8 mA and the resulting slow waves were quantified spatiotemporally. Antegrade propagation was dominant throughout all stages with a prevalence of 55 ± 38% at baseline. However, glucagon infusion resulted in a substantial and significant increase in uncoupled slow waves from 10 ± 8% to 30 ± 12% (p=0.004) without significantly altering the prevalence of other slow wave patterns. Slow wave frequency, amplitude and speed remained unchanged. Pacing, particularly at 8 mA, significantly suppressed dysrhythmic slow wave patterns and achieved more effective spatial entrainment (85%) compared to 4 mA (46%, p=0.039).This study defined the effect of glucagon on jejunal slow waves and identified uncoupling as a key dysrhythmia signature. Pacing effectively entrained rhythmic activity and suppressed dysrhythmias, highlighting the potential of pacing for gastrointestinal disorders associated with slow wave abnormalities.

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Prevalence and factors associated with hyperglycemia in a rural population of Tanvè and Dékanmey in Benin in 2019

Cited by 3 publications

References 14 publications

Baseline prevalence of hyperglycemia and its predictors among community clinic users of a selected rural area of Bangladesh: A cross‐sectional study using the WHO PEN Protocol 1

Baseline prevalence of hyperglycemia and its predictors among community clinic users of a selected rural area of Bangladesh: A cross‐sectional study using the WHO PEN Protocol 1

High-resolution mapping of gastric slow wave uncoupling induced by glucagon

High-energy pacing inhibits slow-wave dysrhythmias in the small intestine

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