Adjustment disorders as a stress-related disorder: a longitudinal study of the associations among stress, resources, and mental health

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Adjustment disorders as a stress-related disorder: a longitudinal study of the associations among stress, resources, and mental health. / Kocalevent, Rüya-Daniela; Mierke, Annett; Danzer, Gerhard; Klapp, Burghard F.

in: PLOS ONE, Jahrgang 9, Nr. 5, 01.01.2014, S. e97303.

Publikationen: SCORING: Beitrag in Fachzeitschrift/ZeitungSCORING: ZeitschriftenaufsatzForschungBegutachtung

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@article{7f6f8d03f947401ca5c9f589b5a43c60,
title = "Adjustment disorders as a stress-related disorder: a longitudinal study of the associations among stress, resources, and mental health",
abstract = "OBJECTIVE: Adjustment disorders are re-conceptualized in the DSM-5 as a stress-related disorder; however, besides the impact of an identifiable stressor, the specification of a stress concept, remains unclear. This study is the first to examine an existing stress-model from the general population, in patients diagnosed with adjustment disorders, using a longitudinal design.METHODS: The study sample consisted of 108 patients consecutively admitted for adjustment disorders. Associations of stress perception, emotional distress, resources, and mental health were measured at three time points: the outpatients' presentation, admission for inpatient treatment, and discharge from the hospital. To evaluate a longitudinal stress model of ADs, we examined whether stress at admission predicted mental health at each of the three time points using multiple linear regressions and structural equation modeling. A series of repeated-measures one-way analyses of variance (rANOVAs) was performed to assess change over time.RESULTS: Significant within-participant changes from baseline were observed between hospital admission and discharge with regard to mental health, stress perception, and emotional distress (p<0.001). Stress perception explained nearly half of the total variance (44%) of mental health at baseline; the adjusted R2 increased (0.48), taking emotional distress (i.e., depressive symptoms) into account. The best predictor of mental health at discharge was the level of emotional distress (i.e., anxiety level) at baseline (β= -0.23, R2corr=0.56, p<0.001). With a CFI of 0.86 and an NFI of 0.86, the fit indices did not allow for acceptance of the stress-model (Cmin/df=15.26; RMSEA=0.21).CONCLUSIONS: Stress perception is an important predictor in adjustment disorders, and mental health-related treatment goals are dependent on and significantly impacted by stress perception and emotional distress.",
keywords = "Adjustment Disorders, Affective Symptoms, Analysis of Variance, Germany, Humans, Linear Models, Longitudinal Studies, Mental Health, Questionnaires, Stress, Psychological, Time Factors",
author = "R{\"u}ya-Daniela Kocalevent and Annett Mierke and Gerhard Danzer and Klapp, {Burghard F}",
year = "2014",
month = jan,
day = "1",
doi = "10.1371/journal.pone.0097303",
language = "English",
volume = "9",
pages = "e97303",
journal = "PLOS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "5",

}

RIS

TY - JOUR

T1 - Adjustment disorders as a stress-related disorder: a longitudinal study of the associations among stress, resources, and mental health

AU - Kocalevent, Rüya-Daniela

AU - Mierke, Annett

AU - Danzer, Gerhard

AU - Klapp, Burghard F

PY - 2014/1/1

Y1 - 2014/1/1

N2 - OBJECTIVE: Adjustment disorders are re-conceptualized in the DSM-5 as a stress-related disorder; however, besides the impact of an identifiable stressor, the specification of a stress concept, remains unclear. This study is the first to examine an existing stress-model from the general population, in patients diagnosed with adjustment disorders, using a longitudinal design.METHODS: The study sample consisted of 108 patients consecutively admitted for adjustment disorders. Associations of stress perception, emotional distress, resources, and mental health were measured at three time points: the outpatients' presentation, admission for inpatient treatment, and discharge from the hospital. To evaluate a longitudinal stress model of ADs, we examined whether stress at admission predicted mental health at each of the three time points using multiple linear regressions and structural equation modeling. A series of repeated-measures one-way analyses of variance (rANOVAs) was performed to assess change over time.RESULTS: Significant within-participant changes from baseline were observed between hospital admission and discharge with regard to mental health, stress perception, and emotional distress (p<0.001). Stress perception explained nearly half of the total variance (44%) of mental health at baseline; the adjusted R2 increased (0.48), taking emotional distress (i.e., depressive symptoms) into account. The best predictor of mental health at discharge was the level of emotional distress (i.e., anxiety level) at baseline (β= -0.23, R2corr=0.56, p<0.001). With a CFI of 0.86 and an NFI of 0.86, the fit indices did not allow for acceptance of the stress-model (Cmin/df=15.26; RMSEA=0.21).CONCLUSIONS: Stress perception is an important predictor in adjustment disorders, and mental health-related treatment goals are dependent on and significantly impacted by stress perception and emotional distress.

AB - OBJECTIVE: Adjustment disorders are re-conceptualized in the DSM-5 as a stress-related disorder; however, besides the impact of an identifiable stressor, the specification of a stress concept, remains unclear. This study is the first to examine an existing stress-model from the general population, in patients diagnosed with adjustment disorders, using a longitudinal design.METHODS: The study sample consisted of 108 patients consecutively admitted for adjustment disorders. Associations of stress perception, emotional distress, resources, and mental health were measured at three time points: the outpatients' presentation, admission for inpatient treatment, and discharge from the hospital. To evaluate a longitudinal stress model of ADs, we examined whether stress at admission predicted mental health at each of the three time points using multiple linear regressions and structural equation modeling. A series of repeated-measures one-way analyses of variance (rANOVAs) was performed to assess change over time.RESULTS: Significant within-participant changes from baseline were observed between hospital admission and discharge with regard to mental health, stress perception, and emotional distress (p<0.001). Stress perception explained nearly half of the total variance (44%) of mental health at baseline; the adjusted R2 increased (0.48), taking emotional distress (i.e., depressive symptoms) into account. The best predictor of mental health at discharge was the level of emotional distress (i.e., anxiety level) at baseline (β= -0.23, R2corr=0.56, p<0.001). With a CFI of 0.86 and an NFI of 0.86, the fit indices did not allow for acceptance of the stress-model (Cmin/df=15.26; RMSEA=0.21).CONCLUSIONS: Stress perception is an important predictor in adjustment disorders, and mental health-related treatment goals are dependent on and significantly impacted by stress perception and emotional distress.

KW - Adjustment Disorders

KW - Affective Symptoms

KW - Analysis of Variance

KW - Germany

KW - Humans

KW - Linear Models

KW - Longitudinal Studies

KW - Mental Health

KW - Questionnaires

KW - Stress, Psychological

KW - Time Factors

U2 - 10.1371/journal.pone.0097303

DO - 10.1371/journal.pone.0097303

M3 - SCORING: Journal article

C2 - 24825165

VL - 9

SP - e97303

JO - PLOS ONE

JF - PLOS ONE

SN - 1932-6203

IS - 5

ER -