Daniel Szoke, Erin Walker, Nicole Christ, Dale Smith, Philip Held
{"title":"Posttraumatic cognition change trajectories in veterans with PTSD who completed an intensive Cognitive Processing Therapy treatment program.","authors":"Daniel Szoke, Erin Walker, Nicole Christ, Dale Smith, Philip Held","doi":"10.1080/16506073.2024.2329246","DOIUrl":null,"url":null,"abstract":"<p><p>Negative posttraumatic cognitions (NPCs) have been linked to symptoms of PTSD and are an important target of cognitive behavioral treatments for PTSD, including Cognitive Processing Therapy (CPT). Yet to be explored are the different change trajectories of NPCs during CPT. Knowledge of such change trajectories could elucidate common NPC change processes within CPT and their relationship to PTSD symptom severity. We examined NPC change trajectories in a group of 443 veterans who completed a 2-week intensive CPT program. We identified four NPC trajectory groups termed <i>start high end high, start high end moderate, start moderate end low</i>, and <i>start low end low</i>. Most of the groups showed an increase in NPCs at the midpoint of treatment before ultimately decreasing. As predicted, baseline PTSD symptom severity predicted change trajectory group membership. Also, NPC change trajectories were associated with PTSD severity at the end of treatment such that individuals in smaller NPC change groups had higher PTSD symptoms at the end of treatment, and vice versa. Clinicians can use this knowledge to make predictions of a particular client's NPC change trajectory and set expectations for what progress in treatment may look like, including normalizing increases in NPCs from the start of treatment.</p>","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/16506073.2024.2329246","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/13 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Negative posttraumatic cognitions (NPCs) have been linked to symptoms of PTSD and are an important target of cognitive behavioral treatments for PTSD, including Cognitive Processing Therapy (CPT). Yet to be explored are the different change trajectories of NPCs during CPT. Knowledge of such change trajectories could elucidate common NPC change processes within CPT and their relationship to PTSD symptom severity. We examined NPC change trajectories in a group of 443 veterans who completed a 2-week intensive CPT program. We identified four NPC trajectory groups termed start high end high, start high end moderate, start moderate end low, and start low end low. Most of the groups showed an increase in NPCs at the midpoint of treatment before ultimately decreasing. As predicted, baseline PTSD symptom severity predicted change trajectory group membership. Also, NPC change trajectories were associated with PTSD severity at the end of treatment such that individuals in smaller NPC change groups had higher PTSD symptoms at the end of treatment, and vice versa. Clinicians can use this knowledge to make predictions of a particular client's NPC change trajectory and set expectations for what progress in treatment may look like, including normalizing increases in NPCs from the start of treatment.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.