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Journal ArticleDOI

Mixed anxiety–depression in a 1 year follow-up study: shift to other diagnoses or remission?

TL;DR: While depressive disorders and anxiety disorders showed relatively high stability, MAD cannot be seen as a stable diagnosis: most of MAD patients remit; many of them shift to other diagnoses than depression or anxiety.
About: This article is published in Journal of Affective Disorders.The article was published on 2004-04-01 and is currently open access. It has received 47 citations till now. The article focuses on the topics: Anxiety disorder & Anxiety.

Summary (2 min read)

1. Introduction

  • A substantial number of patients suffer from depressive and anxiety symptoms without meeting official criteria of either ICD-10 or DSM-IV depressive and/or anxiety disorders (Zinbarg et al., 1994; Stein et al., 1995; see Katon and Roy-Byrne, 1991; Wittchen and Essau, 1993; Boulenger et al., 1997 for reviews).
  • To provide a clinical definition for those patients the ICD-10 (WHO, 1992) introduced the concept of mixed anxiety–depression disorder (MAD).
  • The status of the ICD-10-MAD diagnosis — in relation to depressive and anxiety disorders — needs further research.
  • Data were collected within the scope of the World Health Organization (WHO) Collaborative Study on ‘Psychological Problems in General Health Care’, which is a cross-sectional and prospectivelongitudinal international study (Sartorius et al., 1993; Üstün and Sartorius, 1995).

2. Methods

  • From the sample of the WHO Collaborative Study1 patients meeting ICD-10 criteria for a depressive episode, dysthymia, agoraphobia, panic disorder, generalised anxiety disorder (GAD), comorbid depressive and anxiety disorder, and MAD at the baseline assessment were identified and reassessed after 12 months.
  • Patients older than 65 years were excluded.
  • ICD-10 diagnoses were obtained using the Composite International Diagnostic Interview- Primary Health Care Version (CIDI-PHC), a modification of the Composite International Diagnostic Interview (CIDI; Division of Mental Health, 1990).
  • The interviewer–observer reliability coefficient (across different centres) of the CIDI-PHC was 0.92 overall, ranging between 0.81 to 1.0 on the item level.
  • Single comparisons within the whole contingency table were carried out (Jesdinsky, 1968).

3.1. Sample characteristics

  • A total of 1856 patients were identified to meet ICD- 10 criteria for a depressive episode, dysthymia, agoraphobia, panic disorder, GAD, comorbid anxiety and depressive disorder, and MAD at the baseline diagnostic assessment.
  • A total of 673 (36.3%) did not participate in the follow-up examination because they had moved and were not found anymore, because of refusal or because of death.
  • The study sample of the baseline assessment is described in Table 1.

3.2. Twelve month outcome

  • MAD, depressive episodes, dysthymia, agoraphobia, panic disorder only, GAD, and comorbid depressive and anxiety disorder showed a substantial improvement (average remission rate: 41.9%).
  • 7% of all patients had exactly the same ICD- 10-diagnosis at both assessments with MAD showing the lowest rate of stable diagnoses (1.2%).
  • The majority of MAD patients remitted or shifted to other (non-depressive and non-anxiety) diagnoses (see Table 2).
  • There were no differences regarding follow-up depression rates between patients with a depressive disorder and comorbid patients [χ2 = 0.01, df =1, not significant (n.s.)] and no significant differences regarding follow-up anxiety rates between patients with an anxiety disorder and comorbid patients at baseline (χ2 = 0.9065, df =1, n.s.).

4. Discussion

  • The data presented herein did not show temporal stability of MAD as compared to depressive and anxiety disorders.
  • The authors results are in contrast to the findings of Usall and Marquez (1999) who concluded that MAD is a stable diagnosis.
  • These authors applied DSM-IV research criteria so that their results cannot be directly compared with their findings.

4.1. Implications

  • ICD-10 MAD criteria are relatively vague compared to DSM-IV research criteria (APA, 1994) clearly specifying symptoms necessary for the MAD diagnosis.
  • For such a revision several possibilities are conceivable: Preskorn and Fast (1993) argue against a MAD diagnosis and are in favour of a careful psychiatric assessment resulting in either depression or anxiety diagnoses.
  • Either way, the present study shows that an assiduous psychiatric assessment incorporating longitudinal information (i.e., medical history and follow-up assessments) is indispensable.
  • Of course, the question arises whether the ICD-10 classification lives up to rather minor disorders frequently seen in primary care and whether an appropriate ICD-10 diagnosis suffices.
  • Especially in minor disorders, where psychotherapeutical approaches play an important role, the formulation of an individual disease model and an according treatment is much more determining.

4.2. Limitations

  • Depressive and anxiety disorders might be more severe disorders than MAD, therefore, more easily remitting.
  • Nevertheless, the remission rates for the other disorders were also quite high.
  • Moreover, GAD which also can be seen as relatively mild psychiatric condition shows a high degree of chronicity (Mancuso et al., 1993; Schweizer, 1995; Woodman et al., 1999).
  • In older patients with longer illness histories a MAD diagnosis might not be so easily corrected.
  • Other limitations are lacking information regarding treatment and remissions and relapses during the follow-up.

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Citations
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Journal ArticleDOI
TL;DR: The SELFPASS item pool showed good psychometric properties in terms of reliability, construct, and criterion validity and is an appropriate source for daily mood tracking in future e-mental health apps among patients with depression.
Abstract: Background: e-Mental health apps targeting depression have gained increased attention in mental health care. Daily self-assessment is an essential part of e-mental health apps. The Self-administered Psycho-TherApy-SystemS (SELFPASS) app is a self-management app to manage depressive and comorbid anxiety symptoms of patients with a depression diagnosis. A self-developed item pool with 40 depression items and 12 anxiety items is included to provide symptom-specific suggestions for interventions. However, the psychometric properties of the item pool have not yet been evaluated. Objective: The aim of this study is to investigate the validity and reliability of the SELFPASS item pool. Methods: A weblink with the SELFPASS item pool and validated mood assessment scales was distributed to healthy subjects and patients who had received a diagnosis of a depressive disorder within the last year. Two scores were derived from the SELFPASS item pool: SELFPASS depression (SP-D) and SELFPASS anxiety (SP-A). Reliability was examined using Cronbach α. Construct validity was assessed through Pearson correlations with the Patient Health Questionnaire-9 (PHQ-9), the General Anxiety Disorder Scale-7 (GAD-7), and the WHO-5-Wellbeing-Scale (WHO-5). Logistic regression analysis was performed as an indicator for concurrent criterion validity of SP-D and SP-A. Factor analysis was performed to provide information about the underlying factor structure of the item pool. Item-scale correlations were calculated in order to determine item quality. Results: A total of 284 participants were included, with 192 (67.6%) healthy subjects and 92 (32.4%) patients. Cronbach α was set to .94 for SP-D and α=.88 for SP-A. We found significant positive correlations between SP-D and PHQ-9 scores (r=0.87; P<.001) and between SP-A and GAD-7 scores (r=0.80; P<.001), and negative correlations between SP-D and WHO-5 scores (r=–0.80; P<.001) and between SP-A and WHO-5 scores (r=–0.69; P<.001). Increasing scores of SP-D and SP-A led to increased odds of belonging to the patient group (SP-D: odds ratio 1.03, 95% CI 1.01-1.05; P<.001; SP-A: 1.05, 1.05-1.01; P=.01). The item pool yielded 2 factors: one that consisted of mood-related items and another with somatic-related items. Conclusions: The SELFPASS item pool showed good psychometric properties in terms of reliability, construct, and criterion validity. The item pool is an appropriate source for daily mood tracking in future e-mental health apps among patients with depression. Our study provides general recommendations for future developments as well as recommendations within the item pool.

4 citations

Journal ArticleDOI
TL;DR: In this article, a comparative characterization of depressed patients depending on the presence of comorbid anxiety and depression was performed using the Hamilton Depression and Anxiety Scales (HSAScales), which is used by the Clinic of neuroses named after the IP Pavlov Clinic of Neuroses.
Abstract: Objective The study was the comparative characterization of depressed patients depending on the presence of comorbid anxiety Material and methods Thirty patients of the Clinic of neuroses named after acad IP Pavlov Clinic of Neuroses Comparison groups included 15 patients with comorbid anxiety and depressive disorders and 15 patients with depressive disorder without comorbid anxiety The groups were comparable by sex and age Clinical-catamnestic, clinical-therapeutic, and clinical-scale methods, including the Hamilton Depression and Anxiety Scales, were used during the study Results The structure of clinically diagnosed comorbid anxiety and depressive disorders was shown to be characterized by high representation of somato-vegetative symptoms and higher level of depression in comparison to depressive disorder without comorbid anxiety According to psychometric assessment results, the level of anxiety did not differ in comparison groups, while clinically, according to ICD-10 criteria, anxiety was not diagnosed, indicating a discrepancy between clinical and scale assessments of anxiety and depressive disorders and greater accuracy of clinical and scale assessment of the condition The effectiveness of combined treatment, including psychotropic therapy and psychotherapy, was lower in patients with comorbidity of anxiety and depression according to parameters of the degree of reduction of psychopathological symptoms, duration of treatment, and quality of remission The structure of incomplete remission was similar in patients with comorbid anxiety and depressive disorders and depression Conclusion The obtained data suggest the expediency of continuous systematization of affective disorders and the need to improve the diagnostic criteria of comorbid anxiety and depressive disorders on the basis of combined clinical and scale assessment

4 citations

Book ChapterDOI
01 Jan 2005
TL;DR: In this paper, the Unterscheidung in zwei verschiedene Kategorien psychiatrischer Erkrankungen sinnvoll und gerechtfertigt erscheint.
Abstract: Die derzeit gultige Fassung des psychiatrischen Klassifikationssystems der WHO (ICD-10) teilt die Angsterkrankungen grob in phobische Storungen und sonstige Angststorungen ein, im DSM-IV wird auch die posttraumatische Belastungsstorung zu den Angsterkrankungen gezahlt. Trotz haufiger Komorbiditat zeigen sich deutliche Unterschiede zwischen Angsterkrankung und depressiver Erkrankung, z. B. bezuglich der Risikofaktoren und der Reaktion auf bestimmte therapeutische Masnahmen, sodass die Unterscheidung in zwei verschiedene Kategorien psychiatrischer Erkrankungen sinnvoll und gerechtfertigt erscheint. Insgesamt scheint sich die Komorbiditat von Depression und Angsterkrankung prognostisch ungunstig auf den Verlauf der depressiven Erkrankung sowie negativ auf die Compliance der Betroffenen auszuwirken, was ebenfalls ein wichtiger Grund fur Therapieresistenz sein kann.

4 citations

Journal ArticleDOI
TL;DR: In this paper, a pre-clinical animal study was performed on 42 BALB/c mice and the mRNA expression of GLO-1 was analyzed by real-time RT-PCR.
Abstract: The most common form of psycho-social dysfunction is anxiety with depression being related closely without any age bar. They are present with combined state of sadness, confusion, stress, fear etc. Glyoxalase system contains enzyme named glyoxalase 1 (GLO1).It is a metabolic pathway which detoxifies alpha-oxo-aldehydes, particularly methylglyoxal (MG). Methylglyoxal is mainly made by the breakdown of the glycolytic intermediates, glyceraldehyde-3-phosphates and dihydroxyacetone phosphate. Glyoxylase-1 expression is also related with anxiety behavior. A casual role or GLO-1 in anxiety behavior by using viral vectors for over expression in the anterior cingulate cortex was found and it was found that local GLO-1 over expression increased anxiety behavior. The present study deals with the molecular mechanism of protective activity of eugenol against anxiolytic disorder. A pre-clinical animal study was performed on 42 BALB/c mice. Animals were given stress through conventional restrain model. The mRNA expression of GLO-1 was analyzed by real time RT-PCR. Moreover, the GLO-1 protein expression was also examined by immunohistochemistry in whole brain and mean density was calculated. The mRNA and protein expressions were found to be increased in animals given anxiety as compared to the normal control. Whereas, the expressions were decreased in the animals treated with eugenol and its liposome-based nanocarriers in a dose dependent manner. However, the results were better in animals treated with nanocarriers as compared to the compound alone. It is concluded that the eugenol and its liposome-based nanocarriers exert anxiolytic activity by down-regulating GLO-1 protein expression in mice.

2 citations

Journal ArticleDOI
TL;DR: MADD is a useful diagnosis of a transitional or residual form of comorbid DD and AD in some specific population groups and a diagnosis of personality disorder can sustain long-term diagnosis of MADD.
Abstract: Objective. The aim of our study was to observe the outcome of MADD in comparison with depressive (DD) and anxiety (AD) disorders. Method. Patients treated with 12 weeks of group psychodynamic psychotherapy in a psychiatric day care ward were examined using SCAN 2.1 at admission and 1 year after admission. Treatment was indicated on the basis of diagnosis of ICD-10 – F4–F6. A total of 139 patients were included, 110 (79.1%) of whom were examined at the follow-up point. Results. The prevalence of MADD increased from 22.7% at the baseline to 33.6% at the end. The outcome of MADD was statistically different from the outcome of DD (χ2=18.4, P=0.0025), but not different from the outcome of comorbid DD and AD (χ2=1.8, P=0.84), nor generalized anxiety disorder (χ2=8.1, P=0.15), nor other AD (χ2=5.3, P=0.38). Conclusion. MADD is a useful diagnosis of a transitional or residual form of comorbid DD and AD in some specific population groups. A diagnosis of personality disorder can sustain long-term diagnosis ...

2 citations


Cites background from "Mixed anxiety–depression in a 1 yea..."

  • ...From 85 patients with MADD in a large cohort of 1183 subjects with anxiety and mood disorders, at the end 42 had fully recovered and only one patient still had MADD [13]....

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  • ...Another problem of reliability studies emerge from changeability of MADD [13]....

    [...]

References
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11 Jun 2013

113,134 citations

Journal ArticleDOI
TL;DR: In this article, a tripartite structure consisting of general distress, physiological hyperarousal (specific anxiety), and anhedonia (specific depression), and a diagnosis of mixed anxiety-depression was proposed.
Abstract: We review psychometric and other evidence relevant to mixed anxiety-depression. Properties of anxiety and depression measures, including the convergent and discriminant validity of self- and clinical ratings, and interrater reliability, are examined in patient and normal samples. Results suggest that anxiety and depression can be reliably and validly assessed; moreover, although these disorders share a substantial component of general affective distress, they can be differentiated on the basis of factors specific to each syndrome. We also review evidence for these specific factors, examining the influence of context and scale content on ratings, factor analytic studies, and the role of low positive affect in depression. With these data, we argue for a tripartite structure consisting of general distress, physiological hyperarousal (specific anxiety), and anhedonia (specific depression), and we propose a diagnosis of mixed anxiety-depression.

3,465 citations

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01 Jan 1995
TL;DR: Partial table of contents: The Background and Rationale of the WHO Collaborative Sudy on 'Psychological Problems in General Health Care' (T. ?st?n & N. Sartiorius), form and Frequency of Mental Disorders Across Centres (D. Goldberg & Y. Lecrubier). Index.
Abstract: Partial table of contents: The Background and Rationale of the WHO Collaborative Sudy on 'Psychological Problems in General Health Care' (T. ?st?n & N. Sartiorius). Methods of the WHO Collaborative Study on 'Psychological Problems in General Health Care' (M. Von Korff & T. ?st?n). Results from the Athens Centre (V. Mavreas, et al.). Results from the Mainz Centre (R. Herr, et al.). Results from the Shanghai Centre (H. Yan, et al.). Form and Frequency of Mental Disorders Across Centres (D. Goldberg & Y. Lecrubier). Index.

848 citations


"Mixed anxiety–depression in a 1 yea..." refers methods in this paper

  • ...Data were collected within the scope of the World Health Organization (WHO) Collaborative Study on ‘Psychological Problems in General Health Care’, which is a cross-sectional and prospectivelongitudinal international study (Sartorius et al., 1993; Üstün and Sartorius, 1995)....

    [...]

Journal ArticleDOI
TL;DR: Using a two-stage case identification process, patients from a rural primary care practice were assessed for psychiatric disorders over a 15-month period, finding that suggests restricted usefulness of specialty-based categories for the range of clinical presentations in primary care.
Abstract: • Using a two-stage case identification process, patients from a rural primary care practice were assessed for psychiatric disorders (Research Diagnostic Criteria [RDC] categories) over a 15-month period. The prevalence of all psychiatric disorders was 26.5%; 10.0% were specific RDC depressive disorders, and 5.3% were disorders without depression, usually anxiety related. Another 11.2% of patients were thought to have a disorder with significant depressive symptomatology that could not be classified into a specific depressive disorder category, a finding that suggests restricted usefulness of specialty-based categories for the range of clinical presentations in primary care. The relationship of demographic variables to specific disorders was examined; there were age, sex, and marital status differences in the rates for certain disorders, although these findings need replication using large patient samples. The prevalence findings emphasize the need for research on outcome and treatment response for depression presentations in primary care.

513 citations


"Mixed anxiety–depression in a 1 yea..." refers background in this paper

  • ...These patients are frequent in primary care (Barrett et al., 1988; Wittchen and Essau, 1993; Barlow and Campbell, 2000)....

    [...]

Frequently Asked Questions (1)
Q1. What are the contributions mentioned in the paper "Mixed anxiety–depression in a 1 year follow-up study: shift to other diagnoses or remission?" ?

In 1992, the ICD-10 introduced the concept of mixed anxiety–depression disorder ( MAD ). However, a study examining the stability of this ICD-10-diagnosis is lacking. Limitations: Detailed information regarding treatment and disorders during the follow-up interval was lacking.