Abstract

This research examines the complex relationship between obesity and the risk of cardiovascular disease (CVD). Using a comprehensive dataset, we conducted a one-sample t-test to determine the significance of 17 variables related to obesity. The results showed that all variables, including demographic, lifestyle, and behavioral factors, significantly deviated from zero, indicating their importance in obesity studies. An ordinal logistic regression analysis was conducted to explore the predictors of obesity classification. The analysis revealed complex interactions among various factors. The study highlights the multifactorial nature of obesity and its impact on cardiovascular disease (CVD), providing insights for healthcare policies and future research directions. It particularly emphasizes the need to understand the role of less significant factors and the influence of cultural, environmental, and socioeconomic contexts on obesity. The implications of this research are significant for both the medical field and public health policy. The findings emphasize the intricate interplay of multiple factors in obesity and its correlation with the risk of cardiovascular disease. This comprehension could lead to more effective and targeted interventions, preventive measures, and policy formulations. For future research, it opens avenues to explore the role of less significant factors and to understand the impact of cultural, environmental, and socio-economic contexts on obesity. This study highlights the necessity of a comprehensive strategy to tackle the worldwide issue of obesity and its related health hazards.

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