Exploring Social Determinants of Posttraumatic Pain, Distress, Depression, and Recovery Through Cross-Sectional, Longitudinal, and Nonlinear Trends. Issue 8 (1st August 2022)
- Record Type:
- Journal Article
- Title:
- Exploring Social Determinants of Posttraumatic Pain, Distress, Depression, and Recovery Through Cross-Sectional, Longitudinal, and Nonlinear Trends. Issue 8 (1st August 2022)
- Main Title:
- Exploring Social Determinants of Posttraumatic Pain, Distress, Depression, and Recovery Through Cross-Sectional, Longitudinal, and Nonlinear Trends
- Authors:
- Walton, David M.
Elliott, James M.
Schabrun, Siobhan
Modarresi, Shirin
Seo, Wonjin
May, Curtis - Abstract:
- Abstract : Objectives: Pain, distress, and depression are predictors of posttrauma pain and recovery. We hypothesized that pretrauma characteristics of the person could predict posttrauma severity and recovery. Methods: Sex, age, body mass index, income, education level, employment status, pre-existing chronic pain or psychopathology, and recent life stressors were collected from adults with acute musculoskeletal trauma through self-report. In study 1 (cross-sectional, n=128), pain severity was captured using the Brief Pain Inventory (BPI), distress through the Traumatic Injuries Distress Scale (TIDS) and depression through the Patient Health Questionnaire-9 (PHQ-9). In study 2 (longitudinal, n=112) recovery was predicted using scores on the Satisfaction and Recovery Index (SRI) and differences within and between classes were compared with identify pre-existing predictors of posttrauma recovery. Results: Through bivariate, linear and nonlinear, and regression analyses, 8.4% (BPI) to 42.9% (PHQ-9) of variance in acute-stage predictors of chronicity was explainable through variables knowable before injury. In study 2 (longitudinal), latent growth curve analysis identified 3 meaningful SRI trajectories over 12 months. Trajectory 1 (start satisfied, stay satisfied [51%]) was identifiable by lower TIDS, BPI, and PHQ-9 scores, higher household income and less likely psychiatric comorbidity. The other 2 trajectories (start dissatisfied, stay dissatisfied [29%] versus startAbstract : Objectives: Pain, distress, and depression are predictors of posttrauma pain and recovery. We hypothesized that pretrauma characteristics of the person could predict posttrauma severity and recovery. Methods: Sex, age, body mass index, income, education level, employment status, pre-existing chronic pain or psychopathology, and recent life stressors were collected from adults with acute musculoskeletal trauma through self-report. In study 1 (cross-sectional, n=128), pain severity was captured using the Brief Pain Inventory (BPI), distress through the Traumatic Injuries Distress Scale (TIDS) and depression through the Patient Health Questionnaire-9 (PHQ-9). In study 2 (longitudinal, n=112) recovery was predicted using scores on the Satisfaction and Recovery Index (SRI) and differences within and between classes were compared with identify pre-existing predictors of posttrauma recovery. Results: Through bivariate, linear and nonlinear, and regression analyses, 8.4% (BPI) to 42.9% (PHQ-9) of variance in acute-stage predictors of chronicity was explainable through variables knowable before injury. In study 2 (longitudinal), latent growth curve analysis identified 3 meaningful SRI trajectories over 12 months. Trajectory 1 (start satisfied, stay satisfied [51%]) was identifiable by lower TIDS, BPI, and PHQ-9 scores, higher household income and less likely psychiatric comorbidity. The other 2 trajectories (start dissatisfied, stay dissatisfied [29%] versus start dissatisfied, become satisfied [20%]) were similar across most variables at baseline save for the "become satisfied" group being mean 10 years older and entering the study with a worse (lower) SRI score. Discussion: The results indicate that 3 commonly reported predictors of chronic musculoskeletal pain (BPI, TIDS, PHQ-9) could be predicted by variables not related to the injurious event itself. The 3-trajectory recovery model mirrors other prior research in the field, though 2 trajectories look very similar at baseline despite very different 12-month outcomes. Researchers are encouraged to design studies that integrate, rather than exclude, the pre-existing variables described here. … (more)
- Is Part Of:
- Clinical journal of pain. Volume 38:Issue 8(2022)
- Journal:
- Clinical journal of pain
- Issue:
- Volume 38:Issue 8(2022)
- Issue Display:
- Volume 38, Issue 8 (2022)
- Year:
- 2022
- Volume:
- 38
- Issue:
- 8
- Issue Sort Value:
- 2022-0038-0008-0000
- Page Start:
- 511
- Page End:
- 519
- Publication Date:
- 2022-08-01
- Subjects:
- social determinants -- latent growth curve analysis -- prognosis -- musculoskeletal
Pain -- Periodicals
Pain -- Treatment -- Periodicals
Analgesia -- Periodicals
616.047205 - Journal URLs:
- http://journals.lww.com/clinicalpain/pages/default.aspx ↗
http://ovidsp.tx.ovid.com/sp-3.8.1a/ovidweb.cgi?&S=KBIDFPKNAEDDLKHNNCOKIBOBIMNEAA00&Browse=Toc+Children%7cNO%7cS.sh.2.14.27%7c629%7c50 ↗
http://www.clinicalpain.com ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/AJP.0000000000001050 ↗
- Languages:
- English
- ISSNs:
- 0749-8047
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.294200
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