
Analysis of factors influencing the prevalence of type 2 diabetes mellitus
- 1 Capital Medical University
* Author to whom correspondence should be addressed.
Abstract
With the growth of the global economy and lifestyle changes, Type 2 Diabetes Mellitus (T2DM) has become a major global health challenge. It reduces patients' quality of life and leads to severe complications, increasing medical costs and psychological stress for patients and their families. Understanding the factors driving T2DM prevalence is essential for effective prevention and control. This study investigated the factors affecting the prevalence of T2DM using a comprehensive dataset from Kaggle, which contains health data from 1879 patients. The study used t-test, chi-square test, and logistic regression to analyze variables such as lifestyle, medical history, clinical measures, and symptoms. Significant factors associated with T2DM included family history, hypertension (HTN), smoking, urinary frequency, excessive thirst, unexplained weight loss, fasting blood sugar (FBS), and HbA1c levels. These factors have an impact on the prevalence of diabetes and are important in reducing the incidence of T2DM and associated complications if early intervention and personalized prevention strategies are adopted.
Keywords
diabetes risk factors, Logistic Regression, Type 2 Diabetes Mellitus (T2DM).
[1]. World Health Organization (WHO) 2017 Global Report on Diabetes (Geneva: WHO) Available online: http://www.who.int/diabetes/global-report/en/ (accessed on 22 September 2018).
[2]. Mathers C D and Loncar D 2006 Projections of global mortality and burden of disease from 2002 to 2030 PLoS Med. 3 e442
[3]. World Health Organization and International Diabetes Federation 2006 Definition and Diagnosis of Diabetes Mellitus and Intermediate Hyperglycaemia: Report of a WHO/IDF Consultation (Geneva: WHO)
[4]. Bellou V, Belbasis L, Tzoulaki I and Evangelou E 2018 Risk factors for type 2 diabetes mellitus: an exposure-wide umbrella review of meta-analyses PloS One 13 e0194127
[5]. Zeru M A, Tesfa E, Mitiku A A, Seyoum A and Bokoro T A 2021 Prevalence and risk factors of type-2 diabetes mellitus in Ethiopia: systematic review and meta-analysis Sci. Rep. 11 21733
[6]. Ismail L, Materwala H and Al Kaabi J 2021 Association of risk factors with type 2 diabetes: A systematic review Comput. Struct. Biotechnol. J. 19 1759
[7]. Kyrou I, Tsigos C, Mavrogianni C, Cardon G, Van Stappen V, Latomme J et al. 2020 Sociodemographic and lifestyle-related risk factors for identifying vulnerable groups for type 2 diabetes: a narrative review with emphasis on data from Europe BMC Endocr. Disord. 20 1
[8]. Diab M, Barhoosh H A, Daoudi B, AlMukdad S I, Zaghloul N H, Ashour M et al. 2019 Prevention and screening recommendations in type 2 diabetes: review and critical appraisal of clinical practice guidelines Prim. Care Diabetes 13 197
[9]. Lascar N, Brown J, Pattison H, Barnett A H, Bailey C J and Bellary S 2018 Type 2 diabetes in adolescents and young adults. Lancet Diabetes Endocrinol. 6 69
[10]. Yildiz M, Esenboğa K and Oktay A A 2020 Hypertension and diabetes mellitus: highlights of a complex relationship Curr. Opin. Cardiol. 35 397
[11]. Durlach V, Vergès B, Al-Salameh A, Bahougne T, Benzerouk F, Berlin I et al. 2022 Smoking and diabetes interplay: a comprehensive review and joint statement Diabetes Metab. 48 101370
[12]. Reed Z E, Sallis H M, Richmond R C, Attwood A S, Lawlor D A and Munafo M R 2024 Do smoking and alcohol behaviours influence risk of type 2 diabetes? A Mendelian randomisation study medRxiv 2024-07
[13]. Dwivedi M and Pandey A R 2020 Diabetes mellitus and its treatment: an overview J. Adv. Pharmacol. 1 48
[14]. Gregory N S 2023 Excessive thirst, hunger, and urination in diabetes Introduction to Clinical Pharmacology: From Symptoms to Treatment (New York: Elsevier) p 304
[15]. Selvi N M K, Nandhini S, Sakthivadivel V, Lokesh S, Srinivasan A R and Sumathi S 2021 Association of triglyceride–glucose index (TyG index) with hbA1c and insulin resistance in type 2 diabetes mellitus Maedica 16 375
Cite this article
Gao,K. (2024). Analysis of factors influencing the prevalence of type 2 diabetes mellitus. Theoretical and Natural Science,50,110-117.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of ICBioMed 2024 Workshop: Workshop on Intelligent Medical Data Analysis for Precision Medicine
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