Logistic Regression Model For Life Style Of Retired Civil Servants In Kano State Nigeria

This study tries to find the causes of stresses and the lifestyle status of the retired civil servants after retirement in Kano State. And for this study the method of stratified sampling was used to select the samples for the study. And the sample of size 153 was selected and they were administered by a questionnaire but finally only 141 were retrieved from the selected respondents. And it has been found thatthe results of binary logistic regression analysis of significant studied factors for better lifestyle of retired civil servants in Kano state. 14 Independent categorical variables are included in the model to find the significant ones among them. We consider the two categories of better lifestyle as yes for better lifestyle code 1 and no for not having better lifestyle code 0. Different socio-demographic and economic characteristics are included as independent variables in the binary logistic regression model. Finally the two independent variables Highest position held while in service and the Nature of retirements were found statistically significant for better lifestyle of the retired civil servants in Kano States at p0.01 and p 0.05 respectively.Odds for experiencing a better lifestyle after retirements for Senior employees is 1.88 times higher better lifestyle compare to the reference Category ie Managerial employees Category .And also the Odds of having a better lifestyle for the Junior employee Category is 0.124 lower than the Reference Category Managerial Category . Odds for experiencing better lifestyle for those who retired after reaching a statutory age of retirement is 0.67 times higher than those in the reference category ie Those who retired Voluntarily. And the Odds for having Better lifestyle for those who did Compulsory retirement is also 0.293 lower than those who retired Voluntarily. That means reaching high position in service brings a better life style after retirement for the civil servants in Kano State.