Predictors of Poor Glycemic Control among Patients with Type 2 Diabetes in Southern Afghanistan: A Multicenter Cross-sectional Study

Poor glycemic control is associated with an increased risk of diabetes-related complications, attributable to a wide range of factors. The aim of this study was to determine the prevalence and predictors of poor glycemic control among patients with type 2 diabetes in southern Afghanistan. We conducted a cross-sectional study among diabetes patients randomly recruited from four hospitals in southern Afghanistan during their follow-up visits between August and October 2024. Out of 406 patients, 74.9% (95% confidence interval [CI]: 70.3%-79.1%) had poor glycemic control. Physical inactivity (adjusted odds ratio [AOR] =1.89, 95% CI: 1.04-3.41), irregular monitoring of blood glucose levels (AOR = 8.80, 95% CI: 4.49-17.2), nonadherence to antidiabetic medications (AOR = 2.69, 95% CI: 1.41-5.13), and presence of depression symptoms (AOR = 2.20, 95% CI: 1.25-3.86) were significant predictors of poor glycemic control. The findings highlight an urgent need for targeted health policies and clinical interventions to address the high prevalence of poor glycemic control in Afghanistan.

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Journal
Indian Journal of Public Health
Published
2025-09-20
DOI
https://doi.org/10.4103/ijph.ijph_141_25
Primary Topic
Diabetes, Cardiovascular Risks, and Lipoproteins
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article
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article

Predictors of Poor Glycemic Control among Patients with Type 2 Diabetes in Southern Afghanistan: A Multicenter Cross-sectional Study

Muhammad Haroon Stanikzai, Omid Dadras, Najibullah Fazli, Vinod Kumar
Indian Journal of Public Health
Diabetes, Cardiovascular Risks, and Lipoproteins
article

Predictors of Poor Glycemic Control among Patients with Type 2 Diabetes in Southern Afghanistan: A Multicenter Cross-sectional Study

Muhammad Haroon Stanikzai, Omid Dadras, Najibullah Fazli, Vinod Kumar
article en

Abstract

Poor glycemic control is associated with an increased risk of diabetes-related complications, attributable to a wide range of factors. The aim of this study was to determine the prevalence and predictors of poor glycemic control among patients with type 2 diabetes in southern Afghanistan. We conducted a cross-sectional study among diabetes patients randomly recruited from four hospitals in southern Afghanistan during their follow-up visits between August and October 2024. Out of 406 patients, 74.9% (95% confidence interval [CI]: 70.3%-79.1%) had poor glycemic control. Physical inactivity (adjusted odds ratio [AOR] =1.89, 95% CI: 1.04-3.41), irregular monitoring of blood glucose levels (AOR = 8.80, 95% CI: 4.49-17.2), nonadherence to antidiabetic medications (AOR = 2.69, 95% CI: 1.41-5.13), and presence of depression symptoms (AOR = 2.20, 95% CI: 1.25-3.86) were significant predictors of poor glycemic control. The findings highlight an urgent need for targeted health policies and clinical interventions to address the high prevalence of poor glycemic control in Afghanistan.

Indian Journal of Public HealthVol. 69(4)
IIHMR University (IN), Turku Centre for Computer Science (FI), Kandahar University (AF), Turku Centre for Biotechnology (FI)
Openalex Percentile: Top 65%
Diabetes, Cardiovascular Risks, and Lipoproteins
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