Healthy behaviors as mediating factors in promoting health during times of stress Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/tx31qn01z

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  • The purpose of this study was to explore the relationship between stress, health, and health behaviors. The population for the study was made up of 231 full-time employees from Eastern Montana College. The subjects completed the Social Readjustment Rating Scale (SRRS), the Seriousness of Illness Scale (SIRS), the La Crosse Wellness Inventory (LWI), and a demographic questionnaire. The SPSSx statistical package was used to analyze the data. Research question 1 asked if it was possible to predict high or low illness on the basis of health behaviors, level of stress, and demographic characteristics of subjects. The stepwise procedure of discriminant analysis identified SRRS score, rest and relaxation score, longevity score, ethnicity, age, gender, level of education, and personal habits score as capable of predicting group membership. These eight discriminators combined to form a Wilks' Lambda of .8618 which was highly significant at a 0.0004 level. The second research question asked if it was possible to determine which health behaviors would predict high or low illness among high stress subjects. Stepwise discriminant analysis identified rest and relaxation, personal habits, and fitness scores as predictors of illness classification. This produced a significance level of 0.1991 which was not significant. Research question 3 asked if it was possible to predict the magnitude of health on the basis of stress level, health behaviors, and demographic variables. Multiple regression analysis identified rest and relaxation scores and SRRS scores as predictors of magnitude of health. A significant t of 0.0000 was produced indicating a linear relationship of these variables to illness scores. The fourth research question asked if health behaviors alone could predict the magnitude of health of high stress subjects. Multiple regression analysis produced the rest and relaxation score as the only variable capable of predicting magnitude of health. The t produced by the analysis was 0.0073 which was less than the 0.05 level of significance indicating a linear relationship between the two variables.
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