Tag Archives: Regression model

DETERMINATION OF RISK FACTORS OF GASTROENTERITIS THROUGH STATISTICAL TECHNIQUE IN PUNJAB, PAKISTAN (Published)

The main aims of this study are to find out the significantly associated risk factors with Gastroenteritis and their predictive strength through a regression model. A case control study was conducted on 400 patients including 200 cases and 200 controls from April 2007 to September 2007 at emergency departments of two teaching hospitals of Lahore, Mayo Hospital and Services Hospital. Risk factors associated with Gastroenteritis were determined and the collected data was entered on SPSS version 15. Chi-square test was applied to find any association of factors at 5% level of significance. A multivariate analysis and multiple logistic regression modeling technique was performed to find the significantly associated risk factors with gastroenteritis. Out of 400 patients about 51.5% males and 48.5% females and about 43.0% cases did not married and younger. Results from multivariate analysis showed that, Patients who have household income, Parents education, attended unusual event, pound nearby home, poor drainage system, use of antibiotics, and drinking juices from an open shop (Rahri) were the significant risk factors associated with gastroenteritis with estimated risk about, 0.779, 0.551, 1.763, 1.746, 2.065, 1.633, 1.764, respectively as compared to others. Among these household income and parents education have negatively association while all others were positively associated with gastroenteritis disease. Parents education, attended unusual event, pound nearby home, poor drainage system, use of antibiotics, and drinking juices from an open shop (Rahri) were the significant risk factors associated with gastroenteritis

Keywords: Gastroenteritis, Regression model, Risk factors

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