RISK FACTOR ASSOCIATED WITH CEREBROVASCULAR ACCIDENTS (BRAIN STROKE): DESCRIPTIVE STUDY
DOI:
https://doi.org/10.55197/qjmhs.v4i2.129Keywords:
patients, risk factors, cerebrovascular accidents, brain strokeAbstract
Cerebrovascular accidents (CVAs), commonly referred to as strokes, represent a significant global health challenge, accounting for a substantial burden of morbidity and mortality. In addition to these well-established risk factors, emerging research points to the importance of psychological factors in stroke risk. To analyze risk factors associated with cerebrovascular accidents in a cohort of patients admitted to a tertiary care hospital over two years. This study employed a descriptive, cross-sectional design to investigate the demographic characteristics, prevalence of hypertension, diabetes, cardiovascular conditions, and associated psychological factors. Data were collected from clinical records, which provided detailed information on each patient's medical history, including pre-existing conditions, medications, and previous hospitalizations. Data were analyzed using statistical software (SPSS ) to identify associations between various risk factors and the incidence of stroke. A total of 150 patients were included in the study, comprising 85 males and 65 females. The prevalence of angina pectoris (16.5%) and myocardial infarction (7.1%) was higher than that of females, who reported 9.2% and 6.2%, respectively. The study's findings reveal notable gender disparities in health indicators, which align with existing literature and provide insights into the unique health challenges faced by males or females regarding cardiovascular health. Gender disparities are associated with a higher prevalence of cardiovascular diseases, which underscores the need for targeted interventions and further research that explores the underlying mechanisms driving gender disparity in chronic diseases. Moreover, the study highlights the importance of psychological factors and the predominant types of strokes diagnosed in the sample population.
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