Systematic review and meta-analysis of predictors of adjustment disorders in adults.


Journal

Journal of affective disorders
ISSN: 1573-2517
Titre abrégé: J Affect Disord
Pays: Netherlands
ID NLM: 7906073

Informations de publication

Date de publication:
01 05 2022
Historique:
received: 05 08 2021
revised: 22 12 2021
accepted: 13 02 2022
pubmed: 18 2 2022
medline: 21 4 2022
entrez: 17 2 2022
Statut: ppublish

Résumé

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. 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. 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. 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. 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.

Sections du résumé

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.

Identifiants

pubmed: 35176345
pii: S0165-0327(22)00184-7
doi: 10.1016/j.jad.2022.02.038
pii:
doi:

Types de publication

Journal Article Meta-Analysis Review Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

43-58

Informations de copyright

Published by Elsevier B.V.

Auteurs

Marija Spanovic Kelber (MS)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA. Electronic address: marija.s.kelber.civ@mail.mil.

Maria A Morgan (MA)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Erin H Beech (EH)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Derek J Smolenski (DJ)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Dawn Bellanti (D)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Lindsay Galloway (L)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Suman Ojha (S)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Jean Lin Otto (JL)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Abigail L Garvey Wilson (ALG)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA; Department of Epidemiology, George Washington University, Washington, DC, USA.

Nigel Bush (N)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA.

Bradley E Belsher (BE)

Psychological Health Center of Excellence, Defense Health Agency, Falls Church, VA, USA; Carl T Hayden Veterans Medical Center, Phoenix, AZ, USA.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH