CitationUnderwood, Sarah; E; & Huang, Jin (2016). Insights into potential biomarkers of resilience in adolescents. 2016 Add Health Users Conference. Bethesda, MD.
AbstractResilience has become increasingly important in social work literature. It has been linked to improved outcomes after exposure to biological illness and stressful familial events. Despite the growing importance of the construct, little data exist, specifically sources of resilience in individuals, and researchers have failed to identify specific mechanisms of resilience consistently. A single measure of resilience was created by assessing resilient behaviors at all waves of data collection in the public use dataset of Add Health. By assessing longitudinal health markers commonly associated with resilience, resilient individuals were identified. Following the identification of resilient individuals, logistic regression was used to identify predictors of experiencing resilience. Demographic characteristics were found to be significant predictors of resilient behavior, with minority status positively predicting resilience and gender negatively predicting resilience. Age was also found to be a positive risk factor. Results suggest that there is a racial distinction to those individuals deemed resilient. Much of this can potentially be explained by social phenomena; C-Reactive protein levels and subclinical symptoms suggest that there is a biological function to resilience. By increasing our understanding of the relationship between inflammation and resilient outcomes, we can create better operationalizations of resilience.
Reference TypeConference proceeding
Book Title2016 Add Health Users Conference