Latent class analysis of post-traumatic stress disorder symptoms following exposure to Hurricane Ike.

Anxiety Depression Latent class analysis Natural disaster Post-traumatic stress disorder Psychological services Quality of life

Journal

Social science & medicine (1982)
ISSN: 1873-5347
Titre abrégé: Soc Sci Med
Pays: England
ID NLM: 8303205

Informations de publication

Date de publication:
06 2023
Historique:
received: 13 11 2022
revised: 05 03 2023
accepted: 30 04 2023
medline: 29 5 2023
pubmed: 22 5 2023
entrez: 21 5 2023
Statut: ppublish

Résumé

There is substantial heterogeneity in how people react to potentially traumatic events (PTEs). Although some literature has explored this heterogeneity, there are only a few studies identifying factors associated with it within the disaster literature. The current investigation identified latent classes of post-traumatic stress disorder (PTSD) symptoms and differences between these classes after exposure to Hurricane Ike. Adults living in Galveston and Chambers County, Texas, (n = 658) completed a battery of measures during an interview conducted two to five months after Hurricane Ike. Latent class analysis (LCA) was performed to identify latent classes of PTSD symptoms. Additionally, gender, age, racial or ethnic minority status, depression severity, anxiety severity, quality of life, perceived need for services, and disaster exposure were examined to explore class differences. LCA supported a 3-class model with low (n = 407, 61.9%), moderate (n = 191, 29.0%), and high PTSD symptoms (n = 60, 9.1%). Women appeared most at-risk for a moderate-severity presentation as compared to a low-severity presentation. Further, racial or ethnic minority groups appeared most at-risk for a high-severity presentation as compared to a moderate-severity presentation. Overall, the high symptom class had the poorest well-being, the most perceived need for services, and the highest exposure to the disaster, followed by the moderate symptom class, and finally the low symptom class. PTSD symptom classes appeared to be differentiated primarily by overall severity as well as important psychological, contextual, and demographic dimensions.

Sections du résumé

BACKGROUND
There is substantial heterogeneity in how people react to potentially traumatic events (PTEs). Although some literature has explored this heterogeneity, there are only a few studies identifying factors associated with it within the disaster literature.
OBJECTIVE
The current investigation identified latent classes of post-traumatic stress disorder (PTSD) symptoms and differences between these classes after exposure to Hurricane Ike.
METHODS
Adults living in Galveston and Chambers County, Texas, (n = 658) completed a battery of measures during an interview conducted two to five months after Hurricane Ike. Latent class analysis (LCA) was performed to identify latent classes of PTSD symptoms. Additionally, gender, age, racial or ethnic minority status, depression severity, anxiety severity, quality of life, perceived need for services, and disaster exposure were examined to explore class differences.
RESULTS
LCA supported a 3-class model with low (n = 407, 61.9%), moderate (n = 191, 29.0%), and high PTSD symptoms (n = 60, 9.1%). Women appeared most at-risk for a moderate-severity presentation as compared to a low-severity presentation. Further, racial or ethnic minority groups appeared most at-risk for a high-severity presentation as compared to a moderate-severity presentation. Overall, the high symptom class had the poorest well-being, the most perceived need for services, and the highest exposure to the disaster, followed by the moderate symptom class, and finally the low symptom class.
CONCLUSIONS
PTSD symptom classes appeared to be differentiated primarily by overall severity as well as important psychological, contextual, and demographic dimensions.

Identifiants

pubmed: 37210980
pii: S0277-9536(23)00299-X
doi: 10.1016/j.socscimed.2023.115942
pmc: PMC10519432
mid: NIHMS1926343
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

115942

Subventions

Organisme : NIMH NIH HHS
ID : P60 MH082598
Pays : United States
Organisme : NIMH NIH HHS
ID : R01 MH115128
Pays : United States

Informations de copyright

Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no conflicts of interest regarding this article's authorship, research, and publication, or any financial disclosures.

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Auteurs

Drishti E Sanghvi (DE)

Teachers College, Columbia University, USA. Electronic address: ds3996@tc.columbia.edu.

Gavin N Rackoff (GN)

The Pennsylvania State University, USA. Electronic address: gnr18@psu.edu.

Michelle G Newman (MG)

The Pennsylvania State University, USA. Electronic address: mgn1@psu.edu.

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