Further Validation of the BDI-II Among People With Chronic Pain Originating From Musculoskeletal Disorders

Corbière, Marc; Bonneville‐Roussy, Arielle; Franche, Renée‐Louise; Coutu, Marie‐France; Choinière, Manon; Durand, Marie-José; Boulanger, Aline

doi:10.1097/ajp.0b013e3181eef903

Cited by 19 publications

(22 citation statements)

References 33 publications

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“…Different from the original version, which intended to measure negative cognitions of depression, the BDI-II does not reflect any particular theory of depression. The English version of BDI-II has been translated and validated in 17 languages so far, and it is used among countries in Europe, the Middle East, Asia, and Latin America (29-32). …”

Section: Introductionmentioning

confidence: 99%

Assessment of depression in medical patients: A systematic review of the utility of the Beck Depression Inventory-II

Wang¹,

Gorenstein²

2013

Clinics

222

144

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To perform a systematic review of the utility of the Beck Depression Inventory for detecting depression in medical settings, this article focuses on the revised version of the scale (Beck Depression Inventory-II), which was reformulated according to the DSM-IV criteria for major depression. We examined relevant investigations with the Beck Depression Inventory-II for measuring depression in medical settings to provide guidelines for practicing clinicians. Considering the inclusion and exclusion criteria seventy articles were retained. Validation studies of the Beck Depression Inventory-II, in both primary care and hospital settings, were found for clinics of cardiology, neurology, obstetrics, brain injury, nephrology, chronic pain, chronic fatigue, oncology, and infectious disease. The Beck Depression Inventory-II showed high reliability and good correlation with measures of depression and anxiety. Its threshold for detecting depression varied according to the type of patients, suggesting the need for adjusted cut-off points. The somatic and cognitive-affective dimension described the latent structure of the instrument. The Beck Depression Inventory-II can be easily adapted in most clinical conditions for detecting major depression and recommending an appropriate intervention. Although this scale represents a sound path for detecting depression in patients with medical conditions, the clinician should seek evidence for how to interpret the score before using the Beck Depression Inventory-II to make clinical decisions.

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Section: Introductionmentioning

confidence: 99%

Assessment of depression in medical patients: A systematic review of the utility of the Beck Depression Inventory-II

Wang¹,

Gorenstein²

2013

Clinics

222

144

View full text Add to dashboard Cite

show abstract

“…Nevertheless, some studies have suggested that the structure of BDI-II can be best described as three-dimensional, distributing the cognitive-affective dimension into two distinct factors. 17,20,41,56,66,98,122,136 Further analyses revealed that the BDI-II presents reasonable factorial invariance when assessing the severity of depressive symptoms; this covariance structure is equivalent across gender and ethnicity in American college students 58 and across gender in Taiwanese college students and adolescents. 60,61 Sophisticated alternative structural analysis of the BDI-II was strengthened by two investigative breakthroughs: the hierarchical model and the bifactor model.…”

Section: Content and Construct Validitymentioning

confidence: 99%

Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

Wang

Gorenstein

2013

Rev. Bras. Psiquiatr.

1,156

765

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Objective: To review the psychometric properties of the Beck Depression Inventory-II (BDI-II) as a self-report measure of depression in a variety of settings and populations. Methods: Relevant studies of the BDI-II were retrieved through a search of electronic databases, a hand search, and contact with authors. Retained studies (k = 118) were allocated into three groups: non-clinical, psychiatric/institutionalized, and medical samples. Results: The internal consistency was described as around 0.9 and the retest reliability ranged from 0.73 to 0.96. The correlation between BDI-II and the Beck Depression Inventory (BDI-I) was high and substantial overlap with measures of depression and anxiety was reported. The criterion-based validity showed good sensitivity and specificity for detecting depression in comparison to the adopted gold standard. However, the cutoff score to screen for depression varied according to the type of sample. Factor analysis showed a robust dimension of general depression composed by two constructs: cognitive-affective and somatic-vegetative. Conclusions: The BDI-II is a relevant psychometric instrument, showing high reliability, capacity to discriminate between depressed and non-depressed subjects, and improved concurrent, content, and structural validity. Based on available psychometric evidence, the BDI-II can be viewed as a costeffective questionnaire for measuring the severity of depression, with broad applicability for research and clinical practice worldwide.

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“…Several studies in adult pain samples have used factor analysis of similar measures of depression to examine the specific influence of somatic symptoms on total and subscale scores. 8,14,33,36,49 Overall, these studies have concluded that caution is needed when using traditional self-report depression measures to assess depression in the context of chronic pain due to a high level of endorsement of somatic symptoms. It is unclear whether these somatic symptoms truly reflect depression or are more closely linked to the chronic pain experience itself.…”

mentioning

confidence: 99%

Factor Structure of the Children's Depression Inventory in a Multisite Sample of Children and Adolescents With Chronic Pain

Logan

Claar

Guite

et al. 2013

The Journal of Pain

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This study examined the factor structure of the Children’s Depression Inventory (CDI) among children and adolescents with chronic pain using exploratory and confirmatory factor analysis in a large, multisite sample of treatment-seeking youth. Participants included 1043 children and adolescents (ages 8–18) with a range of chronic pain complaints who presented for initial evaluation at one of three tertiary care pediatric chronic pain clinics across the U.S. They completed the CDI and reported on pain intensity and functional disability. Factor analysis was conducted using a two-step (exploratory and confirmatory) approach. Results supported a 5-factor model for the CDI with good fit to the data. The distribution and item-total correlations of the somatic items (e.g. pain complaints, fatigue) were explored in this sample. Results indicate that the CDI is a useful tool for assessing depressive symptoms in youth with chronic pain, but some caution is warranted in interpreting the clinical significance of scores in light of the overlap of specific symptoms common to both pain and depression.

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Further Validation of the BDI-II Among People With Chronic Pain Originating From Musculoskeletal Disorders

Abstract: The importance of assessing somatic symptoms of depression in pain patients and of thoroughly examining the underlying perceived cause of symptoms, regardless of the dimension, are discussed.

Cited by 19 publications

References 33 publications

Assessment of depression in medical patients: A systematic review of the utility of the Beck Depression Inventory-II

Assessment of depression in medical patients: A systematic review of the utility of the Beck Depression Inventory-II

Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

Factor Structure of the Children's Depression Inventory in a Multisite Sample of Children and Adolescents With Chronic Pain

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