Prevalence and Risk Factors of Type 1 Diabetes Mellitus in Children: A Tertiary Care Experience

Faiqa Shafaq; Benash Sarwar; Humaira Fayyaz; Sarooj Gul

doi:10.70749/ijbr.v3i6.1573

Authors

Faiqa Shafaq ICU, Shifa International Hospital, Islamabad, Pakistan.
Benash Sarwar Consultant Dietitian and Community Nutritionist, Institute of Home Sciences / Pak Korea Nutrition Center (PKNC), University of Agriculture, Faisalabad, Punjab, Pakistan.
Humaira Fayyaz Department of Paediatric Unit, DHQ Teaching Hospital, Haripur, KP, Pakistan.
Sarooj Gul Department of Pediatric, B Ward, Hayatabad Medical Complex, Peshawar, KP, Pakistan.

DOI:

https://doi.org/10.70749/ijbr.v3i6.1573

Keywords:

Type 1 Diabetes Mellitus, Children, Prevalence, Risk Factors, Tertiary Care

Abstract

Background: Type 1 Diabetes Mellitus (T1DM) is emerging as public hot wicket mainly among children and the growth rate is highest in low and middle income countries like Pakistan. T1DM is characterized by autoimmune destruction of pancreatic beta cells and requires lifelong insulin therapy and close management. Data on its prevalence and risk factors associated with the infection in Pakistani children, however, are limited. Objective: The purpose of this study was to find out the prevalence and principal risk factors in T1DM among the children presenting to a tertiary hospital at Faisalabad, Pakistan. Methods: Cross sectional study was carried out using attached hospital Allied Hospital Faisalabad over a six months period (July–December 2024). A total of 384 1–18 years old children were screened. Structured questionnaires and chart reviews were used to collect data on demographics, clinical presentation and potential risk factors. Significant associations were identified by multivariate logistic regression analysis. Results: A total of 384 children was diagnosed, including 42 (10.9%) T1DM children. The female predominance (57.1%) and the mean age of 10.2 ± 3.6 years were observed. On the whole, most cases were from urban areas (73.8%), while the majority presented with a family history of the disease (64.3%). 38.1% were found to present with diabetic ketoacidosis. Family history of diabetes (OR: 3.76, p = 0.002), early exposure to cow’s milk (OR: 2.58, p = 0.031) and urban residence (OR: 2.94, p = 0.022) were the statistically significant risk factors for diabetes. Conclusion: This study reveals that T1DM is highly prevalent in children and early diagnosis and public health intervention are needed. Risk factors that can be modified include family history, urban living and early dietary exposures.

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References

Kandemir, N., Vuralli, D., Ozon, A., Gonc, N., Ardicli, D., Jalilova, L., Gulcek, O. N., & Alikasifoglu, A. (2024). Epidemiology of type 1 diabetes mellitus in children and adolescents: A 50‐year, single‐center experience. Journal of Diabetes, 16(5).

https://doi.org/10.1111/1753-0407.13562

Ogrotis, I., Koufakis, T., & Kotsa, K. (2023). Changes in the Global Epidemiology of Type 1 Diabetes in an Evolving Landscape of Environmental Factors: Causes, Challenges, and Opportunities. Medicina, 59(4), 668.

https://doi.org/10.3390/medicina59040668

Vanderniet, J. A., Jenkins, A. J., & Donaghue, K. C. (2022). Epidemiology of Type 1 Diabetes. Current Cardiology Reports, 24(10), 1455–1465.

https://doi.org/10.1007/s11886-022-01762-w

Roche, E. F., McKenna, A. M., O’Regan, M., Ryder, K. J., Fitzgerald, H. M., & Hoey, H. M. (2023). The incidence of type 1 diabetes in children under 15 years of age is rising again—a nationwide study. European journal of pediatrics, 182(10), 4615-4623.

https://doi.org/10.1007/s00431-023-05125-7

Therrell, B. L., Padilla, C. D., Gustavo, Khneisser, I., Peter, Knight-Madden, J., Malherbe, H. L., & Kase, M. (2024). Current Status of Newborn Bloodspot Screening Worldwide 2024: A Comprehensive Review of Recent Activities (2020–2023). International Journal of Neonatal Screening, 10(2), 38–38.

https://doi.org/10.3390/ijns10020038

Gruessner, R. W. (2023). Economic and Insurance Issues. In Transplantation of the Pancreas (pp. 1087-1098). Cham: Springer International Publishing.

Zorena, K., Michalska, M., Kurpas, M., Jaskulak, M., Murawska, A., & Rostami, S. (2022). Environmental Factors and the Risk of Developing Type 1 Diabetes—Old Disease and New Data. Biology, 11(4), 608.

https://doi.org/10.3390/biology11040608

Stene, L. C., Norris, J. M., & Rewers, M. J. (2023). Risk factors for type 1 diabetes. Diabetes in America [Internet].

Al-Worafi, Y. M. (2024). Type 1 Diabetes Management in Developing Countries. In Handbook of Medical and Health Sciences in Developing Countries: Education, Practice, and Research (pp. 1-46). Cham: Springer International Publishing.

Ansbro, É., Issa, R., Willis, R., Blanchet, K., Perel, P., & Roberts, B. (2022). Chronic NCD care in crises: A qualitative study of global experts’ perspectives on models of care for hypertension and diabetes in humanitarian settings. Journal of Migration and Health, 5, 100094.

https://doi.org/10.1016/j.jmh.2022.100094

Al-Worafi, Y. M. (2023). Epidemiology and Burden of Neurological Diseases in Developing Countries. In Handbook of Medical and Health Sciences in Developing Countries: Education, Practice, and Research (pp. 1-27). Cham: Springer International Publishing.

Al-Worafi, Y. M. (2024). Common Geriatrics Diseases and Conditions in Developing Countries. In Handbook of Medical and Health Sciences in Developing Countries: Education, Practice, and Research (pp. 1-27). Cham: Springer International Publishing.

Foss, K. S., O’Daniel, J. M., Berg, J. S., Powell, S. N., Cadigan, R. J., Kuczynski, K. J., Milko, L. V., Saylor, K. W., Roberts, M., Weck, K., & Henderson, G. E. (2022). The Rise of Population Genomic Screening: Characteristics of Current Programs and the Need for Evidence Regarding Optimal Implementation. Journal of Personalized Medicine, 12(5), 692.

https://doi.org/10.3390/jpm12050692

Waqas, A., Koukab, A., Meraj, H., Dua, T., Chowdhary, N., Fatima, B., & Rahman, A. (2022). Screening programs for common maternal mental health disorders among perinatal women: Report of the systematic review of evidence. BMC Psychiatry, 22(1).

https://doi.org/10.1186/s12888-022-03694-9

Putri, L. D., Girsang, E., Lister, I. N. E., Kung, H. T., Kadir, E. A., & Rosa, S. L. (2024). Public health implications for effective community interventions based on hospital patient data analysis using deep learning technology in indonesia. Information, 15(1), 41.

https://doi.org/10.3390/info15010041