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Citation

Naudé, Allison R.; Machlin, Laura S.; Furlong, Sarah; & Sheridan, Margaret A. (2022). Threat Responsivity Predicts Posttraumatic Stress Disorder Hyperarousal Symptoms in Children after Hurricane Florence. Cognitive, Affective, & Behavioral Neuroscience, 22(4), 690-702. PMCID: PMC8926419

Abstract

Following a traumatic event, posttraumatic stress disorder (PTSD) symptoms are common. Considerable research has identified a relationship between physiological responses during fear learning and PTSD. Adults with PTSD display atypical physiological responses, such as increased skin conductance responses (SCR) to threatening cues during fear learning (Orr et al., 2000). However, little research has examined these responses in childhood when fear learning first emerges. We hypothesized that greater threat responsivity in early acquisition during fear conditioning before Hurricane Florence would predict PTSD symptoms in a sample of young children following the hurricane. The final sample included 58 children in North Carolina who completed fear learning before Hurricane Florence-a potentially traumatic event. After the hurricane, we assessed severity of hurricane impact and PTSD symptoms. We found that threat responsivity as measured by differential SCR during fear learning before the hurricane predicted PTSD hyperarousal symptoms and that hurricane impact predicted PTSD symptoms following the disaster. This exploratory work suggests that prospective associations between threat responsivity and PTSD symptoms observed in adulthood may be replicated in early childhood. Results are discussed in the context of the current COVID-19 crisis.

URL

http://dx.doi.org/10.3758/s13415-022-00984-3

Reference Type

Journal Article

Year Published

2022

Journal Title

Cognitive, Affective, & Behavioral Neuroscience

Author(s)

Naudé, Allison R.
Machlin, Laura S.
Furlong, Sarah
Sheridan, Margaret A.

Article Type

Regular

PMCID

PMC8926419

Continent/Country

United States of America

State

North Carolina

ORCiD

Sheridan - 0000-0002-8909-7501