1 / 1

Anxiety Symptoms and Pain Catastrophizing in a Pediatric Chronic Pain Sample

Anxiety Symptoms and Pain Catastrophizing in a Pediatric Chronic Pain Sample Susan T. Heinze¹, M.S., Kim Anderson Khan² , ³, Psy.D ., Renee Ladwig 3 , APRN, LMFT, Keri R. Hainsworth², Ph.D., W. Hobart Davies¹, Ph.D., & Steven J. Weisman² , ³, M.D.

Download Presentation

Anxiety Symptoms and Pain Catastrophizing in a Pediatric Chronic Pain Sample

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Anxiety Symptoms and Pain Catastrophizing in a Pediatric Chronic Pain Sample Susan T. Heinze¹, M.S., Kim Anderson Khan², ³, Psy.D., Renee Ladwig3, APRN, LMFT,Keri R. Hainsworth², Ph.D., W. Hobart Davies¹, Ph.D.,& Steven J. Weisman², ³, M.D. ¹University of Wisconsin-Milwaukee, ²Medical College of Wisconsin, & ³Children’s Hospital of Wisconsin PURPOSE/BACKGROUND RESULTS: Correlations between Psychosocial Factors TABLE 3: Regression Analysis of Anxiety and PC Predicting Highest Pain Intensity • Anxiety Symptoms and PC • Subscale scores of the SCARED were significantly related to one another (r range = .33-.68, all p < .001). • Subscale scores of the PCS were significantly related to one another (r range = .70-.78, all p < .001). • Correlations between the total and subscale scores of the PCS and the SCARED were significant (r range = .29 - .62, all p < .001). • Psychosocial Factors and Pain Intensity • Total anxiety symptoms and several subscales were positively related to the usual, highest, and lowest pain intensity reported by youth. All PC scores (total and subscales) were related to increasing ratings of usual, highest, and lowest pain intensity (See Table 2). • Anxiety symptoms and pain catastrophizing (PC) are elevated in children with chronic pain (Tsao et al., 2009; Vervoort et al., 2010). • These symptoms are also related to decreased quality of life (Tsao et al., 2007; Vervoort et al., 2010). • Anxiety and PC may indicate an underlying construct of sensitivity to chronic pain; however, these constructs are rarely examined together. STUDY GOALS TABLE 4: Regression Analysis of Anxiety and PC Predicting Lowest Pain Intensity • The goal of this study is to examine the relationships between anxiety symptoms, PC, and chronic pain characteristics. MEASURES TABLE 2: Correlations between Anxiety and PC with Pain Intensity • Youth ages 8-18 (see Table 1) completed measures before beginning treatment at a multidisciplinary pain clinic. • Self report of pain intensity, frequency, and duration • Screen for Child Anxiety Related Disorders (SCARED) • Generalized anxiety, Panic disorder, Separation anxiety, Social anxiety, and School avoidance • Pain Catastrophizing Scale for Children (PCS-C) • Rumination, Magnification, and Helplessness CONCLUSION • Anxiety symptoms and PC are related to the pain experience in youth with chronic pain. Additionally, anxiety and PC are closely related constructs themselves. • Total PC score is a stronger predictor of highest and lowest pain intensity than total anxiety. Pain catastrophizing is a symptom more specific to the pain experience than broad anxiety symptoms. However, anxiety is important to evaluate in children with chronic pain as it is related to pain symptoms and pain catastrophizing, and these symptoms are in turn related to poorer functioning. • Clinically, pain catastrophizing is important as it may increase pain perception, affect one’s ability to cope with chronic pain, and may be an aspect of underlying anxiety warranting treatment in this population. TABLE 1: Participant Characteristics * p < .05, ** p < .01 RESULTS: Regression Predicting Pain Intensity • Total anxiety was a significant predictor of highest and lowest pain intensity (See Tables 3 and 4). Entering PC into the model explained a significant amount of variance in pain intensity over anxiety symptoms alone. For more information, please contact: Susan T. Heinze, stheinze@uwm.edu

More Related