The validity of the symptom checklist depression and anxiety subscales: A general population study in Sweden (original) (raw)
Related papers
Psychiatry Research, 2009
The Mental Health Inventory (MHI)-5 is an attractive, brief screening questionnaire for depression and anxiety disorders. It has been suggested that the three questions on depression (MHI-d) may be as good as the full MHI-5 in assessing depressive disorders. We examined the validity of the MHI-d and the MHI-a (the remaining two items on anxiety) in a large population-based sample of 7076 adults in the Netherlands. We also examined the validity of the MHI in assessing specific anxiety disorders. The presence of depressive and anxiety disorders in the past month was assessed with the Composite International Diagnostic Interview (CIDI), computerized version 1.1. ROC analyses indicated no significant difference between the MHI-5 (area under the curve of 0.93) and the MHI-d (area under the curve of 0.91) in detecting major depression and dysthymia. There was no difference either between the MHI-5 (area under the curve of 0.73) and the MHI-a (area under the curve 0.73) in detecting anxiety disorders. Both the MHI-5 and the MHI-a also seem to be adequate as a screener for some anxiety disorders (generalized anxiety disorder; panic disorder; obsessivecompulsive disorder), but not others, especially phobias (agoraphobia; social phobia; simple phobia).
Journal of Affective Disorders, 2010
Background: The 4-item Patient Health Questionnaire-4 (PHQ-4) is an ultra-brief self-report questionnaire that consists of a 2-item depression scale (PHQ-2) and a 2-item anxiety scale (GAD-2). Given that PHQ-4, PHQ-2, and GAD-2 have not been validated in the general population, this study aimed to investigate their reliability and validity in a large general population sample and to generate normative data. Methods: A nationally representative face-to-face household survey was conducted in Germany in 2006. The survey questionnaire consisted of the PHQ-4, other self-report instruments, and demographic characteristics. Results: Of the 5030 participants (response rate = 72.9%), 53.6% were female and mean (SD) age was 48.4 (18.0) years. The sociodemographic characteristics of the study sample closely match those of the total populations in Germany as well as those in the United States. Confirmatory factor analyses showed very good fit indices for a two-factor solution (RMSEA .027; 90% CI .023-.032). All models tested were structurally invariant between different age and gender groups. Construct validity of the PHQ-4, PHQ-2, and GAD-2 was supported by intercorrelations with other self-report scales and with demographic risk factors for depression and anxiety. PHQ-2 and GAD-2 scores of 3 corresponded to percentile ranks of 93.4% and 95.2%, respectively, whereas PHQ-2 and GAD-2 scores of 5 corresponded to percentile ranks of 99.0% and 99.2%, respectively. Limitation: A criterion standard diagnostic interview for depression and anxiety was not included. Conclusions: Results from this study support the reliability and validity of the PHQ-4, PHQ-2, and GAD-2 as ultra-brief measures of depression and anxiety in the general population. The normative data provided in this study can be used to compare a subject's scale score with those determined from a general population reference group.
Distinguishing between depression and anxiety: A proposal for an extension of the tripartite model
European Psychiatry, 2010
The aim of the current study was to develop scales that assess symptoms of depression and anxiety and can adequately differentiate between depression and anxiety disorders, and also can distinguish within anxiety disorders. As point of departure, we used the tripartite model of Clark and Watson that discerns three dimensions: negative affect, positive affect and physiological hyperarousal. Methods: Analyses were performed on the data of 1449 patients, who completed the Mood and Anxiety Symptoms Questionnaire (MASQ) and the Brief Symptom Inventory (BSI). From this, 1434 patients were assessed with a standardized diagnostic interview. Results: A model with five dimensions was found: depressed mood, lack of positive affect, somatic arousal, phobic fear and hostility. The scales appear capable to differentiate between patients with a mood and with an anxiety disorder. Within the anxiety disorders, somatic arousal was specific for patients with panic disorder. Phobic fear was associated with panic disorder, simple phobia and social anxiety disorder, but not with generalized anxiety disorder. Conclusions: We present a five-factor model as an extension of the tripartite model. Through the addition of phobic fear, anxiety is better represented than in the tripartite model. The new scales are capable to accurately differentiate between depression and anxiety disorders, as well as between several anxiety disorders. #
Differentiating anxiety and depression: the State-Trait Anxiety-Depression Inventory
Cognition & Emotion, 2016
The differentiation of trait anxiety and depression in nonclinical and clinical populations is addressed. Following the tripartite model, it is assumed that anxiety and depression share a large portion of negative affectivity (NA), but differ with respect to bodily hyperarousal (specific to anxiety) and anhedonia (lack of positive affect; specific to depression). In contrast to the tripartite model, NA is subdivided into worry (characteristic for anxiety) and dysthymia (characteristic for depression), which leads to a four-variable model of anxiety and depression encompassing emotionality, worry, dysthymia, and anhedonia. Item-level confirmatory factor analyses and latent class cluster analysis based on a large nationwide representative German sample (N = 3150) substantiate the construct validity of the model. Further evidence concerning convergent and discriminant validity with respect to related constructs is obtained in two smaller nonclinical and clinical samples. Factors influencing the association between components of anxiety and depression are discussed.
Clinical Utility of the Inventory of Depression and Anxiety Symptoms (IDAS)
Assessment, 2018
Depressive and anxiety disorders are severe and disabling conditions that result in substantial cost and global societal burden. Accurate and efficient identification is thus vital to proper diagnosis and treatment of these disorders. The Inventory of Depression and Anxiety Symptoms (IDAS) is a reliable and well-validated measure that provides dimensional assessment of both mood and anxiety disorder symptoms. The current study examined the clinical utility of the IDAS by establishing diagnostic cutoff scores and severity ranges using a large mixed sample ( N = 5,750). Results indicated that the IDAS scales are good to excellent predictors of their associated Structured Clinical Interview for DSM-IV diagnoses. These findings were replicated using Diagnostic and Statistical Manual of Mental Disorders-Fifth edition (DSM-5) criteria assessed via the Mini-International Neuropsychiatric Interview. We provide three cutoff scores for each scale that can be used differentially depending on t...
Development and Validation of the Inventory of Depression and Anxiety Symptoms (IDAS
Psychological Assessment, 2007
The authors describe a new self-report instrument, the Inventory of Depression and Anxiety Symptoms (IDAS), which was designed to assess specific symptom dimensions of major depression and related anxiety disorders. They created the IDAS by conducting principal factor analyses in 3 large samples (college students, psychiatric patients, community adults); the authors also examined the robustness of its psychometric properties in 5 additional samples (high school students, college students, young adults, postpartum women, psychiatric patients) who were not involved in the scale development process. The IDAS contains 10 specific symptom scales: Suicidality, Lassitude, Insomnia, Appetite Loss, Appetite Gain, Ill Temper, Well-Being, Panic, Social Anxiety, and Traumatic Intrusions. It also includes 2 broader scales: General Depression (which contains items overlapping with several other IDAS scales) and Dysphoria (which does not). The scales (a) are internally consistent, (b) capture the target dimensions well, and (c) define a single underlying factor. They show strong short-term stability and display excellent convergent validity and good discriminant validity in relation to other self-report and interviewbased measures of depression and anxiety.
Behaviour Research and Therapy, 2007
Aim: The tripartite model conceptualizes symptoms of depression and anxiety in three groups: low positive affect and anhedonia, which is specific to depression, somatic arousal, which is unique to anxiety, and nonspecific general distress. The Mood and Anxiety Symptoms Questionnaire (MASQ) was developed to measure these symptom domains. This study reports on the psychometric properties of the Dutch translation of the MASQ. Method: The questionnaire was completed by a population-based sample and by patients with anxiety and/or mood disorders. Scores of these respondent groups were compared to assess the discriminant validity of the MASQ and evaluate the appropriateness of the tripartite model. Results: The psychometric properties of the translated MASQ were highly satisfactory. In accordance with the model, we found the MASQ to comprise three main scales, which discriminate well between subgroups of patients with mood and anxiety disorders. Discussion: Overall, like the English version the Dutch translation of the instrument appears to be a reliable and valid measure of symptoms of depression and anxiety, conceptualized as comprising three groups of symptoms. The Dutch MASQ is better able to distinguish unique aspects of mood and anxiety disorders than other self-report instruments. r
Journal of Abnormal …, 1995
- proposed a tripartite model that groups symptoms of depression and anxiety into 3 subtypes: symptoms of general distress that are largely nonspecific, manifestations of somatic tension and arousal that are relatively unique to anxiety, and symptoms of anhedonia and low Positive Affect that are specific to depression. This model was tested in 5 samples (3 student, 1 adult, and 1 patient sample) using the Mood and Anxiety Symptom Questionnaire (MASQ; D. Watson & L. A. Clark, 1991), which was designed to assess the hypothesized symptom groups, together with other symptom and cognition measures. Consistent with the tripartite model, the MASQ Anxious Arousal and Anhedonic Depression scales both differentiated anxiety and depression well and also showed excellent convergent validity. Thus, differentiation of these constructs can be improved by focusing on symptoms that are relatively unique to each.
Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples
British Journal of Clinical Psychology, 2007
The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in two studies using large clinical samples (N = 437 and N = 241). In Study 1, the three scales comprising the DASS were shown to have excellent internal consistency and temporal stability. An exploratory factor analysis (principal components extraction with varimax rotation) yielded a solution that was highly consistent with the factor structure previously found in nonclinical samples. Between-groups comparisons indicated that the DASS distinguished various anxiety and mood disorder groups in the predicted direction. In Study 2, the conceptual and empirical latent structure of the DASS was upheld by findings from confirmatory factor analysis. Correlations between the DASS and other questionnaire and clinical rating measures of anxiety, depression, and negative affect demonstrated the convergent and discriminant validity of the scales. In addition to supporting the psychometric properties of the DASS in clinical anxiety and mood disorders samples, the results are discussed in the context of current conceptualizations of the distinctive and overlapping features of anxiety and depression.