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Predicting Health Behaviors using Posttraumatic Stress Disorder Symptom Clusters
Department: Psychology
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Paper000
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Pocatello
Unknown to Unknown
Emme Tucker
Idaho State University
Thesis
No
2/4/2025
digital
City: Pocatello
Master
Background: There is a dearth in the literature surrounding PTSD symptom clusters (i.e., intrusions, avoidance, negative alterations in cognitions and mood, and alterations in arousal and reactivity) as predictors of health correlates. The present study, a secondary data analysis, examined PTSD symptomology as a predictor of five different health correlates (alcohol use, drug use, maladaptive eating behavior, gambling, and sleep difficulty) and the four PTSD symptom clusters as a predictor of these health behaviors. Method: Participants were 1,350 college students aged 18-53 (M = 19.99, SD = 4.31). The present analysis examined PSTD symptom severity and symptom clusters as a predictor of the five health correlates through a series of univariate linear regression analyses and a multivariate multiple linear regression analysis. Results: PTSD severity was found to be a significant predictor of alcohol use (AUDIT-C), drug use (CAGE-AID), maladaptive eating behavior (EDE-QS), and sleep difficulty (ASSQ-SDS), but not gambling behavior (PGSI). Negative alterations in cognitions and mood was also significantly predictive of drug use and eating behavior. Alterations in arousal and reactivity was significantly predictive of drug use, eating behavior, and sleep difficulty. Conclusion: Negative alterations in cognitions and mood and alterations in arousal and reactivity (i.e., PTSD symptom clusters D and E) may be mechanisms related to the experiences of these mental and behavioral health correlates. Future research could address additional factors that may influence these health correlates. Keywords: posttraumatic stress disorder, sleep difficulty, eating behavior, substance use, gambling.

Predicting Health Behaviors using Posttraumatic Stress Disorder Symptom Clusters

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