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The DSM-IV definition of severity of major depression: inter-relationship and validity
V Lux1, S H Aggen, K S Kendler
1Department of Psychology, Free University Berlin, Germany.
Background:
Severity is an important characteristic of major depression (MD) and an 'episode specifier' in DSM-IV classifying depressive episodes as 'mild', 'moderate' or 'severe'. These severity subtypes rely on three different measures of severity: number of criteria symptoms, severity of the symptoms and degree of functional disability. No prior empirical study has evaluated the coherence and validity of the DSM-IV definition of severity of MD.
Method:
In a sample of 1015 (518 males, 497 females) Caucasian twins from a population-based registry who met criteria for MD in the year prior to interview, factor analysis and logistic regression were conducted to examine the inter-relationships of the three severity measures and their associations with a wide range of potential validators including demographic factors, risk for future episodes, risk of MD in the co-twin, characteristics of the depressive episode, the pattern of co-morbidity, and personality traits.
Results:
Correlations between the three severity measures were significant but moderate. Factor analysis indicated the existence of a general severity factor, but the factor was not highly coherent. The three severity measures showed differential predictive ability for most of the validators.
Conclusions:
Severity of MD as defined by the DSM-IV is a multifaceted and heterogeneous construct. The three proposed severity measures reflect partly overlapping but partly independent domains with differential validity as assessed by a wide range of clinical characteristics. Clinicians should probably use a combination of severity measures as proposed in DSM-IV rather than privileging one.
Insights
Major depression severity is multifaceted. The three DSM-IV measures (symptom count, severity, disability) are moderately related but have distinct clinical validity, suggesting combined use for accurate assessment.
Area of Science:
- Psychiatry
- Clinical Psychology
- Epidemiology
Background:
- The Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) classifies major depression (MD) episodes as mild, moderate, or severe.
- DSM-IV severity relies on three measures: number of symptoms, symptom severity, and functional disability.
- Empirical validation of the coherence and validity of these DSM-IV severity measures was lacking.
Purpose of the Study:
- To evaluate the inter-relationships and validity of the three DSM-IV severity measures for major depression.
- To examine the association of these measures with various clinical and demographic factors.
Main Methods:
- A population-based sample of 1015 Caucasian twins meeting DSM-IV criteria for MD was analyzed.
- Factor analysis and logistic regression were used to assess the three severity measures.
- Validators included demographic factors, future episode risk, co-twin MD risk, episode characteristics, comorbidity, and personality traits.
Main Results:
- The three severity measures showed significant but moderate correlations.
- Factor analysis suggested a general severity factor, but it lacked high coherence.
- Each severity measure demonstrated differential predictive validity across various validators.
Conclusions:
- Major depression severity, per DSM-IV, is a complex and heterogeneous construct.
- The three DSM-IV severity measures capture partly overlapping and partly independent domains.
- Clinicians should consider using a combination of these severity measures for comprehensive assessment.
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