1Department of Computer Science Engineering, Karunya Institute of Technology, Coimbatore, TamilNadu, India
2*Department of Biotechnology, Bishop Heber College, Trichy, TamilNadu, India
3Department of Biotechnology, Bishop Heber College, Trichy, TamilNadu, India
4Department of Microbiology, Educare Institute of Dental Sciences, Kerala, India
Obesity is a multifactorial disorder characterized by excessive accumulation of body fat and is recognized as a significant risk factor for various chronic diseases. It is commonly assessed using the Body Mass Index (BMI), a standard measure that classifies individuals based on their weight relative to height. To statistically analyse key contributing factors associated with obesity and propose evidence-based strategies for its prevention and management. BMI of ≥30 was used as the diagnostic criterion for obesity, in accordance with the World Health Organization (WHO) guidelines. The study employed a statistical approach to analyse a dataset comprising anthropometric, dietary, and lifestyle variables influencing obesity. The analysis revealed that obesity is strongly associated with increased risks of developing diabetes, cardiovascular disease (CVD), and certain cancers. Factors such as poor dietary habits, physical inactivity, family history, and age were significant contributors. This study emphasizes the importance of identifying and statistically validating the multifactorial causes of obesity. Understanding these risk factors is essential for implementing effective public health strategies and individualized management plans to mitigate the global burden of obesity. These findings highlight the importance of early risk identification and support the development of data-driven public health interventions and personalized prevention strategies aimed at reducing the growing global burden of obesity and its associated diseases.
Keywords: Obesity, BMI, Statistical analysis, Diabetes, Cardiovascular disease, Risk factors, Public health.
How to cite this article: Navaraj MM, U D, David S, Ranjan J, Soundararajan S, Navaraj SB. The Statistical Link between Obesity, Diabetes, and Cardiovascular Risk: A Quantitative Analysis. Int J Drug Deliv Technol. 2026;16(15s): 348-358. DOI: 10.25258/ijddt.16.15s.41
Source of support: Nil.
Conflict of interest: None