The psychometric properties of the Bangla Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5): preliminary reports from a large-scale validation study.
BMC Psychiatry
; 22(1): 280, 2022 04 20.
Article
in English
| MEDLINE | ID: covidwho-1808352
ABSTRACT
BACKGROUND:
The Posttraumatic Stress Disorder Checklist (PCL-5) is the most widely used screening tool in assessing posttraumatic stress disorder symptoms, based on the Diagnostic and Statistical Manual of Mental disorders (DSM-5) criteria. This study aimed to evaluate the psychometric properties of the newly translated Bangla PCL-5.METHODS:
A cross-sectional survey was carried out among 10,605 individuals (61.0% male; mean age 23.6 ± 5.5 [13-71 years]) during May and June 2020, several months after the onset of the COVID-19 outbreak in Bangladesh. The survey included the Bangla PCL-5 and the PHQ-9 depression scale. We used confirmatory factor analysis to test the four-factor DSM-5 model, the six-factor Anhedonia model, and the seven-factor hybrid model.RESULTS:
The Bangla PCL-5 displayed adequate internal consistency (Cronbach's alpha = 0.90). The Bangla PCL-5 score was significantly correlated with scores of the PHQ-9 depression scale, confirming strong convergent validity. Confirmatory factor analyses indicated the models had a good fit to the data, including the four-factor DSM-5 model, the six-factor Anhedonia model, and the seven-factor hybrid model. Overall, the seven-factor hybrid model exhibited the best fit to the data.CONCLUSIONS:
The Bangla PCL-5 appears to be a valid and reliable psychometric screening tool that may be employed in the prospective evaluation of posttraumatic stress disorder in Bangladesh.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Stress Disorders, Post-Traumatic
/
COVID-19
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Topics:
Long Covid
Limits:
Adolescent
/
Adult
/
Female
/
Humans
/
Male
/
Young adult
Language:
English
Journal:
BMC Psychiatry
Journal subject:
Psychiatry
Year:
2022
Document Type:
Article
Affiliation country:
S12888-022-03920-4
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