Screening for depression in patients with hepatitis C using the Beck Depression Inventory-II: do somatic symptoms compromise validity?

Patterson, Alexander L.; Morasco, Benjamin J.; Fuller, Bret E.; Indest, David W.; Loftis, Jennifer M.; Hauser, Péter

doi:10.1016/j.genhosppsych.2011.04.005

Cited by 48 publications

(47 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A similar two-dimensional structure was obtained in nonclinical samples using a different language version of the BDI-II, 27,31,55 in psychiatric samples, 8,33,55,62,65,82,88,91 and in medical patients. 96,114,116,124 The between-factor correlation coefficients in the two-dimensional structure of the BDI-II were generally high (. 0.50, range 0.49-0.87) and could account for a large amount of common data variance.…”

Section: Content and Construct Validitymentioning

confidence: 99%

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

Wang

Gorenstein

2013

Rev. Bras. Psiquiatr.

1,149

765

View full text Add to dashboard Cite

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.

show abstract

Section: Content and Construct Validitymentioning

confidence: 99%

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

Wang

Gorenstein

2013

Rev. Bras. Psiquiatr.

1,149

765

View full text Add to dashboard Cite

show abstract

“…A conservative cut-off score of ≥17 indicates clinically significant depressive symptoms [37]. Prior research with veterans with HCV suggests that depressive symptoms, as measured by the BDI-II, cluster in two domains for patients with HCV: cognitive-affective and somatic symptoms of depression [38]. Cognitive-affective symptoms include sadness, pessimism, past failure beliefs, guilty feelings, punishment feelings, self-dislike, self-criticality, suicidal thoughts, crying, agitation, and worthlessness.…”

Section: Methodsmentioning

confidence: 99%

Pain-related anxiety mediates the relationship between depressive symptoms and pain interference in veterans with hepatitis C

Adams

Lovejoy

Turk

et al. 2015

General Hospital Psychiatry

Self Cite

View full text Add to dashboard Cite

Objective Depression and chronic pain are common in persons chronically infected with the hepatitis C virus (HCV), although little is known about the rate of co-occurrence or mechanisms by which they are associated. We evaluated whether pain-related anxiety mediates the relationship between depressive symptoms and pain-related physical functioning in patients with HCV. Methods Patients with HCV (n=175) completed self-report measures assessing demographic characteristics, pain-related function, and mental health. Path analyses examined direct effects of cognitive-affective and somatic symptoms of depression on pain interference and indirect effects of these relationships via four subscales of the Pain Anxiety Symptoms Scale-20. Results Cognitive-affective and somatic symptoms of depression were positively and significantly related to pain interference. Pain-related anxiety mediated the relationship between both cognitive-affective and somatic symptoms of depression, and this mediation was predominantly accounted for by the escape-avoidance component of pain-related anxiety. Conclusions Findings indicate a potential mediating role of pain-related anxiety, particularly escape-avoidance anxiety, on the relationship between depression and pain interference in patients with HCV. These findings suggest that escape-avoidance anxiety may be a particularly germane target for treatment in patients with HCV and chronic pain, particularly when depression, with characteristic features of withdrawal and inhibition, is a comorbid condition.

show abstract

“…For example, Chilcot, et al (2011) andPatterson, et al (2011) each use less than half of the original items. Given that the BDI-II is a commercial instrument unlikely to change its item content to match factor analytic work (particularly if that work is not in the majority) it may be more useful to explore structures that are more practically relevant by using the entire (or close to the entire) instrument, and focusing on structures that provide information relevant to clinicians.…”

Section: Bdi-iimentioning

confidence: 99%

“…Particularly with instruments like the BDI-II that are in constant use for screening and patient care, it may be meaningful to focus on instrument structures that are focused on such issues, especially given the very small differences in fit for most models. For example, though Patterson, et al (2011) reduced the items in the model to get better fit, the model has only a .02…”

Section: Bdi-iimentioning

confidence: 99%

The Beck Depression Inventory 2nd Edition (BDI-II): A cross sample structural analysis

Strunk¹

2017

Preprint

View full text Add to dashboard Cite

A common concern about the BDI-II among researchers in the area of depression has long been the single-factor scoring scheme. Methods exist for making cross sample comparisons of latent structure but tend to rely on estimation methods that can be imprecise and unnecessarily complex. This study presents a computationally more efficient method for reproducing a population matrix and uses this method to evaluate competing factor solutions of the BDI-II published in the literature. The results of this study suggest our alternative method can reproduce a population matrix and when used to test various factor solutions of the BDI-II, there is a lack of evidence to suggest any one superior structure. However, the source of measurement error within some models may help to inform the diagnostic utility of the BDI-II.

show abstract

Screening for depression in patients with hepatitis C using the Beck Depression Inventory-II: do somatic symptoms compromise validity?

Abstract: When screening for depression in HCV patients, questions targeting cognitive and affective symptoms of depression may provide a more valid measurement of depression than questions targeting somatic symptoms of depression, particularly for patients with more advanced liver disease.

Cited by 48 publications

References 44 publications

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

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

Pain-related anxiety mediates the relationship between depressive symptoms and pain interference in veterans with hepatitis C

The Beck Depression Inventory 2nd Edition (BDI-II): A cross sample structural analysis

Contact Info

Product

Resources

About