Dimensional and hierarchical models of depression using the Beck Depression Inventory-II in an Arab college student sample

Al-Turkait, Fawziyah A.; Ohaeri, Jude U.

doi:10.1186/1471-244x-10-60

Cited by 41 publications

(38 citation statements)

References 64 publications

(131 reference statements)

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“…21,58,67,73,87,101,105 Although still scant, the bifactor model (G) was able to identify a non-hierarchical general depression in addition to the traditional two-dimensional structure. 18,34,64,81,84,96,121 These investigations shared the view that much of the variance of the BDI-II items can be accounted for by a hierarchical higher order or a parallel dimension of depression, where much of the common variance can be explained by a general construct. Practitioners should be careful when interpreting subscale scores, which might be greatly related to the heterogeneous characteristics of depressive conditions.…”

Section: Content and Construct Validitymentioning

confidence: 67%

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

Wang

Gorenstein

2013

Rev. Bras. Psiquiatr.

1,115

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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Section: Content and Construct Validitymentioning

confidence: 67%

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

Wang

Gorenstein

2013

Rev. Bras. Psiquiatr.

1,115

765

View full text Add to dashboard Cite

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“…Concurrent validity was evaluated using -Khalek, 1998;Al-Musawi, 2001;Al-Turkait and Ohaeri, 2010) and the CES-D (Ghubash et al, 2000;Kazarian and Taher, 2010) were not selected because they have been validated in college students and community samples, not in clinical populations.…”

Section: Discussionmentioning

confidence: 99%

Translation and validation of the Cardiac Depression Scale to Arabic

Papasavvas

Al-Amin

Ghabrash

et al. 2016

Asian Journal of Psychiatry

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Background: The Cardiac Depression Scale (CDS) has been designed to measure depressive symptoms in patients with heart disease. There is no Arabic version of the CDS. We translated and validated the CDS in an Arabic sample of patients with heart disease. Methods: Forward and back translation of the CDS was followed by assessment of cultural relevance and content validity. The Arabic version of the CDS (A-CDS) and the Arabic version of the Hospital Anxiety and Depression Scale (A-HADS) were then administered to 260 Arab in-patients with heart disease from 18 Arabic countries. Construct validity was assessed using exploratory factor analysis with polychoric correlations. Internal consistency was assessed using ordinal reliability alpha and item-to-factor polychoric correlations. Concurrent validity was assessed using Pearson's correlation coefficient between the A-CDS and the depression subscale of the A-HADS (A-HADS-D).Results: Cultural relevance and content validity of the A-CDS were satisfactory. Exploratory factor analysis revealed three robust factors, without cross-loadings, that formed a single dimension. Internal consistency was high (ordinal reliability alpha for the total scale and the three factors were .94, .91, .86, and .87, respectively; item-to-factor correlations ranged from .77 to .91). Concurrent validity was high (r = .72). The A-CDS demonstrated a closer to normal distribution of scores than the A-HADS-D. Limitations: Sensitivity and specificity of the A-CDS were not objectively assessed. Conclusions: The A-CDS appears to be a valid and reliable instrument to measure depressive symptoms in a representative sample of Arab in-patients with heart disease.Keywords: Arabic; Cardiac Depression Scale; cultural relevance; depression; heart disease; scale validation Highlights• We translated and validated the Cardiac Depression Scale to Arabic.• Cultural relevance and content validity were satisfactory.• A stable, parsimonious, and meaningful three-factor model was created.• Internal consistency and concurrent validity were high.• The translated scale appears to be a valid and reliable instrument.

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“…It should be kept in mind that the diagnostic reliability represents an upper limit on the psychometric performance of a screening test. Studies have also suggested the possibility that the instrument’s factors might actually measure specific depression symptoms of a more general, higher order depression factor [49, 50], which could be explored through use of bifactor or second-order factor model. Further research is needed to replicate and extend our findings in different patient groups and clinical settings.…”

Section: Discussionmentioning

confidence: 99%

Factor structure and clinical utility of the Beck Depression Inventory in patients with binge eating disorder and obesity

Udo

McKee

Grilo

2015

General Hospital Psychiatry

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Objective The Beck Depression Inventory (BDI) is often used to assess depression symptoms, but its factor structure and clinical utility have not been evaluated in patients with binge eating disorder (BED) and obesity. Methods 882 treatment-seeking obese patients with BED were administered structured interviews (SCID-I/P) and completed self-report questionnaires. Results Exploratory and confirmatory factor analyses supported a brief 16-item BDI version with a three-factor structure (affective, attitudinal, and somatic). Both 21- and 16-item versions showed excellent internal consistency (both α=0.89) and had significant correlation patterns with different aspects of eating disorder psychopathology; three factors showed significant but variable associations with eating disorder psychopathology. Area under the curves (AUC) for both BDI versions were significant in predicting major depressive disorder (MDD; AUC=0.773 [16-item], 73.5% sensitivity/70.2% specificity, AUC=0.769 [21-item], 79.5% sensitivity/64.1% specificity) and mood disorders (AUC=0.763 [16-item], 67.1% sensitivity/71.5% specificity, AUC=0.769 [21-item], 84.2% sensitivity/55.7% specificity). 21-item BDI (cut-off score ≥16) showed higher negative predictive values (94.0% vs. 93.0% [MDD]; 92.4% vs. 88.3% [mood disorders]) than brief 16-item BDI (cut-off score ≥13). Conclusions Both BDI versions demonstrated moderate performance as a screening instrument for MDD/mood disorders in obese patients with BED. Advantages and disadvantages for both versions are discussed. A three-factor structure has potential to inform the conceptualization of depression features.

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Dimensional and hierarchical models of depression using the Beck Depression Inventory-II in an Arab college student sample

Cited by 41 publications

References 64 publications

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

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

Translation and validation of the Cardiac Depression Scale to Arabic

Factor structure and clinical utility of the Beck Depression Inventory in patients with binge eating disorder and obesity

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