The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus
Abstract The present study aimed to determine the predictive power of the diabetic markers and metabolic syndrome factors in School-aged children for developing Type 2 DM. In this cross-sectional study, 1288 students aged 12–13 were recruited from public schools in the capital city of Sana’a. Anthro...
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2025-01-01
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| author | Walid Saeed Molham AL-Habori Riyadh Saif-Ali |
| author_facet | Walid Saeed Molham AL-Habori Riyadh Saif-Ali |
| author_sort | Walid Saeed |
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| description | Abstract The present study aimed to determine the predictive power of the diabetic markers and metabolic syndrome factors in School-aged children for developing Type 2 DM. In this cross-sectional study, 1288 students aged 12–13 were recruited from public schools in the capital city of Sana’a. Anthropometric measurements and blood pressure were recorded and body mass index (BMI) was calculated. Fasting venous blood (5 ml) was collected for biochemical analysis including FBG, HbA1c, insulin, and lipid profile. Insulin resistance (HOMA-IR) and β-cell function (HOMA-β) were calculated. Our results showed that neither insulin, HOMA-IR nor HOMA-β individually were good predictors for Type 2 DM as assessed by the ROC curve with AUC < 0.75. However, the ROC curve of combined HOMA-IR and HOMA-β (Model 1) gave a superior AUC of 0.998 (p = 2.7 × 10−9) and predicted 140 (10.9%) children to develop Type 2 DM. This model picked up all impaired fasting glucose (IFG), 74% of metabolic glucose, and 71% of metabolic syndrome (MetS) groups. On the other hand, the ROC curve for metabolic syndrome (Model 2) gave an AUC of 0.751 (p = 0.003) and predicted a higher number of 416 (32.3%) children to develop prediabetes and Type 2 DM. This model picked up 75% of IFG, 71% of MetS, 82% of those having two factors of MetS, and 72% of obesity groups. Moreover, the 53 children common between the two models include 75% of IFG and 43% of MetS groups. Therefore, the combined HOMA-IR and HOMA-β model in children proved to be a good predictor for Type 2 DM development, whereas the MetS model predicts the development of prediabetes and Type 2 DM. |
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| institution | Kabale University |
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| language | English |
| publishDate | 2025-01-01 |
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| spelling | doaj-art-e1a3162d75b34776a048a0243248a4a32025-01-05T12:20:07ZengNature PortfolioScientific Reports2045-23222025-01-0115111010.1038/s41598-024-84349-5The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitusWalid Saeed0Molham AL-Habori1Riyadh Saif-Ali2Department of Biochemistry and Molecular Biology, Faculty of Medicine and Health Sciences, University of Sana’aDepartment of Biochemistry and Molecular Biology, Faculty of Medicine and Health Sciences, University of Sana’aDepartment of Biochemistry and Molecular Biology, Faculty of Medicine and Health Sciences, University of Sana’aAbstract The present study aimed to determine the predictive power of the diabetic markers and metabolic syndrome factors in School-aged children for developing Type 2 DM. In this cross-sectional study, 1288 students aged 12–13 were recruited from public schools in the capital city of Sana’a. Anthropometric measurements and blood pressure were recorded and body mass index (BMI) was calculated. Fasting venous blood (5 ml) was collected for biochemical analysis including FBG, HbA1c, insulin, and lipid profile. Insulin resistance (HOMA-IR) and β-cell function (HOMA-β) were calculated. Our results showed that neither insulin, HOMA-IR nor HOMA-β individually were good predictors for Type 2 DM as assessed by the ROC curve with AUC < 0.75. However, the ROC curve of combined HOMA-IR and HOMA-β (Model 1) gave a superior AUC of 0.998 (p = 2.7 × 10−9) and predicted 140 (10.9%) children to develop Type 2 DM. This model picked up all impaired fasting glucose (IFG), 74% of metabolic glucose, and 71% of metabolic syndrome (MetS) groups. On the other hand, the ROC curve for metabolic syndrome (Model 2) gave an AUC of 0.751 (p = 0.003) and predicted a higher number of 416 (32.3%) children to develop prediabetes and Type 2 DM. This model picked up 75% of IFG, 71% of MetS, 82% of those having two factors of MetS, and 72% of obesity groups. Moreover, the 53 children common between the two models include 75% of IFG and 43% of MetS groups. Therefore, the combined HOMA-IR and HOMA-β model in children proved to be a good predictor for Type 2 DM development, whereas the MetS model predicts the development of prediabetes and Type 2 DM.https://doi.org/10.1038/s41598-024-84349-5Type 2 DMPrediabetesMetabolic syndromeInsulin resistanceΒ-cell functionSchool-aged children |
| spellingShingle | Walid Saeed Molham AL-Habori Riyadh Saif-Ali The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus Scientific Reports Type 2 DM Prediabetes Metabolic syndrome Insulin resistance Β-cell function School-aged children |
| title | The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus |
| title_full | The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus |
| title_fullStr | The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus |
| title_full_unstemmed | The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus |
| title_short | The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus |
| title_sort | predictive value of combined insulin resistance and β cell secretion in yemeni school aged children for type 2 diabetes mellitus |
| topic | Type 2 DM Prediabetes Metabolic syndrome Insulin resistance Β-cell function School-aged children |
| url | https://doi.org/10.1038/s41598-024-84349-5 |
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