Matrix Science Medica (MSM)

This paper presents an analytical study of the characteristics of participants in a health study that aimed tounderstand the relationship between several demographic and health factors. Data were collected on gender,age, and health conditions such as hypertension, diabetes, history of stroke, smoking, and chest infections. Acomprehensive analytical methodology was used that included distributing participants based on thesefactors, where the results showed a difference in gender (61.8% males and 38.2% females) and aconcentration in older age groups. Logistic regression analysis was also applied to identify factors influencingthe likelihood of developing certain health conditions, which revealed negative effects for chest infections,smoking, blood pressure, and diabetes, while gender (male) had a positive effect. The paper highlights theimportance of understanding these complex relationships, calling for further research to examine the effectsof these factors on public health.