| Literature DB >> 32440591 |
Chantelle S Lloyd1,2,3, Ruth A Lanius2,4, Matthew F Brown5, Richard J Neufeld2,4,5, Paul A Frewen2,4,5, Margaret C McKinnon3,6,7.
Abstract
BACKGROUND: Peri-traumatic tonic immobility has been associated with the development and course of post-traumatic stress disorder. Despite serving as an adaptive late-stage defense response, tonic immobility that continues in response to post-traumatic reminders may lead to reduced functioning and a diminished sense of well-being. At present, no validated self-report measures assess post-traumatic tonic immobility responses specifically.Entities:
Keywords: Post-traumatic stress disorder; Scale for Tonic immobility Occurring Post-trauma; assessment; defense cascade model; freezing; scale development; tonic immobility
Year: 2019 PMID: 32440591 PMCID: PMC7219877 DOI: 10.1177/2470547018822492
Source DB: PubMed Journal: Chronic Stress (Thousand Oaks) ISSN: 2470-5470
Demographic and psychological characteristics.
| Characteristic | % ( |
|---|---|
| Gender | |
| Female | 54.8 (253) |
| Male | 44.8 (207) |
| Choose not to say | 0.4 (2) |
| Ethnicity | |
| Caucasian | 63.9 (295) |
| African American / Canadian | 8.4 (39) |
| Latin American / Canadian | 7.1 (33) |
| Asian American / Canadian | 7.1 (33) |
| Native American / Canadian | 3.9 (18) |
| Mixed race | 3.9 (18) |
| Other | 4.1 (19) |
| Choose not to say | 1.5 (7) |
| Marital status | |
| Single | 43.9 (203) |
| Common-law or married | 48.0 (222) |
| Divorced | 6.5 (30) |
| Other | 1.1 (5) |
| Choose not to say | 0.4 (2) |
| Education | |
| < High school | 0.9 (4) |
| High school | 12.8 (59) |
| Some post-secondary | 25.8 (119) |
| University degree | 31.2 (144) |
| College diploma | 16.2 (75) |
| Graduate or professional school | 12.6 (58) |
| Other | 0.6 (3) |
| Employment | |
| Part-time or full-time | 69.7 (322) |
| Self-employed | 12.6 (58) |
| Unemployed | 8.2 (38) |
| Not able to work | 1.9 (9) |
| Student | 5.8 (27) |
| Other | 1.7 (8) |
| Psychiatric diagnosis | |
| Yes, currently | 16.2 (75) |
| Yes, in the past but not currently | 10.6 (49) |
| Never | 69.7 (322) |
| Choose not to say | 3.5 (16) |
Figure 1.Hierarchical factor structure and standardized factor loadings of the four-factor CFA model 2.
Tested models and associated fit indices of the STOP with CFA (n = 372).
| Model | χ2( | BIC | RMSEA [CI] | CFI | TLI | SRMR |
|---|---|---|---|---|---|---|
|
| ||||||
| 1. Base four-factor | 1299.55 (430), | 36075.85 | .074 [.069, .078] | .89 | .88 | .06 |
| 2. Base four-factor – allow Correlated residual items:
| 1101.99 (400), | 34788.56 | .069 [.064, .074] | .91 | .90 | .06 |
Note: BIC: Bayesian Information Criterion; RMSEA: root mean square error of approximation; CI: 95% confidence interval; CFI: comparative fit index; TLI: Tucker-Lewis index; SRMR: standard root mean square residual. The traditional “gold standard” RMSEA threshold of 0.05 or less (Hu & Bentler, 1999) has been identified as often too stringent, affecting the generalizability of the model (Marsh, Hau, & Wen, 2004). Therefore, acceptable model fit was evaluated by adopting the following standards: RMSEA < .08, SRMR < .08, TLI > .85, and CFI > .85.
Descriptive statistics for STOP subscales and correlations with symptom measures.
|
|
| α |
|
|
|
|
|
| |
|---|---|---|---|---|---|---|---|---|---|
| Global Post-traumatic Tonic Immobility Response | 52.74 | 28.30 | .96 | .50** | .56** | .53** | .42** | .39** | .14* |
|
| 2.11 | 1.01 | .92 | .38** | .43** | .41** | .32** | .36** | .10 |
|
| 1.29 | 1.09 | .93 | .47** | .60** | .53** | .46** | .32** | .04 |
|
| 2.08 | 1.22 | .90 | .44** | .42** | .45** | .36** | .44** | .27** |
|
| 1.68 | 1.43 | .93 | .44** | .45** | .45** | .31** | .32** | .23** |
| Cronbach’s α | – | – | – | .97 | .97 | .98 | .97 | .85 | .90 |
Note: rPCL: PTSD Checklist – 20 item version; rTRASC: 10 items designed to measure trauma-related altered states of consciousness (TRASC); rPCL + : PTSD Checklist – 20 item version + 10 TRASC items.
p < .01. **p < .0001.