REGRESSION ANALYSIS ON THE IMPACT OF SMOKING, LEVEL OF EXERCISE, AND WEIGHT ON HEALTH
ABSTRACT
This research investigates the impact of smoking, level of exercise, and weight on health outcomes. The research employs a cross-sectional research design to investigate the associations between smoking, level of exercise, weight, and health outcomes among adults residing in Uyo Local Government Area, Akwa Ibom State, Nigeria. The study population comprises 360 adults, with a sample size of 124 determined using Taro Yamane’s sample size determination formula. Data collection involves a self-administered questionnaire covering demographic information, smoking habits, physical activity levels, weight, height, and health status. Convenience sampling is utilized at various locations within each of the four clans in Uyo LGA, facilitated by trained research assistants. Statistical Package for Social Sciences (SPSS) is employed for data analysis, including regression analysis to determine the relationships between independent variables (smoking, lack of regular exercise, weight) and the dependent variable (health outcome).The analysis reveals significant associations between these lifestyle factors and health outcomes, highlighting the need for targeted interventions to mitigate their adverse effects. Findings indicate a moderate positive correlation between smoking and health outcomes, emphasizing the importance of smoking cessation interventions. Similarly, a significant positive relationship is observed between lack of regular exercise and health outcomes, underscoring the importance of promoting physical activity. Additionally, the analysis reveals a moderate positive correlation between weight and health-related quality of life, emphasizing the need for interventions to promote healthy weight management.
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