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Kestler-Peleg M, Mahat-Shamir M, Pitcho-Prelorentzos S, Kagan M. Intolerance to uncertainty and self-efficacy as mediators between personality traits and adjustment disorder in the face of the COVID-19 pandemic. CURRENT PSYCHOLOGY 2023; 42:8504-8514. [PMID: 37193099 PMCID: PMC10105150 DOI: 10.1007/s12144-023-04465-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2023] [Indexed: 05/18/2023]
Abstract
In April 2020, early in the COVID-19 outbreak, governments restricted public gatherings and ordered social distancing. These demands led to challenging adaptations, which in some cases resulted in mental health issues, including adjustment disorder. Guided by the transactional stress model, the current study aimed to examine the relations between personality traits and adjustment disorder in crisis situations and vagueness and the role of intolerance to uncertainty and self-efficacy in these relations. During Israel's first lockdown, 673 Israeli adults completed self-reported e-version questionnaires regarding Big Five personality traits, adjustment disorder, intolerance to uncertainty, self-efficacy, and background variables. The study was designed to examine the association between personality traits and adjustment disorder and the potential mediation of intolerance to uncertainty and self-efficacy in associations. The findings revealed that intolerance to uncertainty and self-efficacy mediated the association between personality traits and adjustment disorder. The results are consistent with the transactional stress model. They shed light on the role of intolerance to uncertainty and self-efficacy as cognitive mechanisms that promote the development of adjustment disorder. Recommendations for future studies and practice are discussed.
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Affiliation(s)
| | | | | | - Maya Kagan
- School of Social Work, Ariel University, 40700 Ariel, Israel
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Kelber MS, Morgan MA, Beech EH, Smolenski DJ, Bellanti D, Galloway L, Ojha S, Otto JL, Wilson ALG, Bush N, Belsher BE. Systematic review and meta-analysis of predictors of adjustment disorders in adults. J Affect Disord 2022; 304:43-58. [PMID: 35176345 DOI: 10.1016/j.jad.2022.02.038] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 12/22/2021] [Accepted: 02/13/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND The diagnosis of adjustment disorder is common in clinical practice, yet there is lack of research on the etiology and epidemiology of adjustment disorders. The goal of this systematic review was to evaluate predictors of adjustment disorders in adults. METHODS We conducted systematic searches in MEDLINE, EMBASE, and PsycINFO. We included 70 studies that examined thirteen theoretically-derived and predefined predictors of adjustment disorders with a total of 3,449,374 participants. RESULTS We found that female gender, younger age, unemployed status, stress, physical illness and injury, low social support, and a history of mental health disorders predicted adjustment disorders. Most of these predictors differentiated individuals with adjustment disorders from individuals with no mental health disorders. Participants with adjustment disorders were more likely to have experienced accidents than were those with posttraumatic stress disorder but were less likely to have experienced assaults and abuse, neglect, and maltreatment. More research is needed to identify factors that differentiate adjustment disorders from other mental health disorders. LIMITATIONS Because very few studies adjusted for confounders (e.g., demographic variables, mental health histories, and a variety of stressors), it was not possible to identify independent associations between predictors and adjustment disorders. CONCLUSIONS We identified a number of factors that predicted adjustment disorders compared to no mental health diagnosis. The majority of studies were rated as moderate or high in risk of bias, suggesting that more rigorous research is needed to confirm the relationships we detected.
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Affiliation(s)
- Marija Spanovic Kelber
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.
| | - Maria A Morgan
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Erin H Beech
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Derek J Smolenski
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Dawn Bellanti
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Lindsay Galloway
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Suman Ojha
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Jean Lin Otto
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Abigail L Garvey Wilson
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA; Department of Epidemiology, George Washington University, Washington, DC, USA
| | - Nigel Bush
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA
| | - Bradley E Belsher
- Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA; Carl T Hayden Veterans Medical Center, Phoenix, AZ, USA
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