ABSTRACT
The purpose of this article is to introduce and describe a statistical model that researchers can use to evaluate underlying mechanisms of behavioral onset and other event occurrence outcomes. Specifically, the article develops a framework for estimating mediation effects with outcomes measured in discrete-time epochs by integrating the statistical mediation model with discrete-time survival analysis. The methodology has the potential to help strengthen health research by targeting prevention and intervention work more effectively as well as by improving our understanding of discretized periods of risk. The model is applied to an existing longitudinal data set to demonstrate its use, and programming code is provided to facilitate its implementation.
Subject(s)
Behavioral Research , Models, Statistical , Outcome Assessment, Health Care , Behavioral Research/methods , Behavioral Research/statistics & numerical data , Humans , Multilevel Analysis , Research Design , Survival AnalysisABSTRACT
This study examined the influence of aspects of the post-Hurricane Katrina recovery environment (i.e., discrimination, social support) and coping behaviors on children's posttraumatic stress reactions (symptoms of posttraumatic stress disorder [PTSD], anxiety, and depression). Data corresponding to 46 youth (M = 11.43 years; 39% girls; 33% African American, 67% European American) revealed that greater helpfulness from extrafamilial sources of social support predicted lower levels of child-rated symptoms of PTSD, anxiety, and depression. A positive predictive relation was found between helpfulness from professional support sources and PTSD, perhaps suggesting that parents whose children were experiencing higher PTSD symptom levels sought professional support and reported it to be helpful. Youths' avoidant coping behaviors predicted both PTSD and anxiety symptoms. Discrimination, active coping, and familial support did not predict any of the posttraumatic stress reactions assessed in this study.
