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Confirmatory factor analysis of the Beck Depression Inventory–II in patients with advanced cancer: A theory-driven approach

Published online by Cambridge University Press:  24 August 2017

Kristen G. Tobias ,
Jonathan Lehrfeld ,
Barry Rosenfeld ,
Hayley Pessin  and
William Breitbart
Kristen G. Tobias*
Affiliation:
Department of Psychology, Fordham University, Bronx, New York
Jonathan Lehrfeld
Affiliation:
Department of Psychology, Fordham University, Bronx, New York
Barry Rosenfeld
Affiliation:
Department of Psychology, Fordham University, Bronx, New York
Hayley Pessin
Affiliation:
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
William Breitbart
Affiliation:
Department of Psychiatry and Behavioral Sciences, Memorial Sloan Kettering Cancer Center, New York, New York
*
Address correspondence and reprint requests to: Kristen G. Tobias, Fordham University, 441 East Fordham Road, Bronx, New York 10458. E-mail: [email protected].
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Abstract

Objective:

The diagnosis and treatment of depression are complicated by the presence of a serious medical illness, such as cancer. The role of inflammation in the pathophysiology of depression remains unknown; however, the symptom cluster of sickness behavior is more clearly related to inflammation. Symptom clusters may provide the specificity needed to improve treatment outcomes. The purpose of this study is to use confirmatory factor analysis to examine the construct of sickness behavior in patients with advanced cancer using the Beck Depression Inventory–II (BDI–II).

Method:

Patients (N = 167) were recruited from chemotherapy clinics and the Department of Psychiatry at Memorial Sloan Kettering Cancer Center. Symptoms were a priori delineated using the factor labels sickness behavior and negative affectivity (two-factor model), and affective, cognitive, and sickness behavior (three-factor model). These data were also fit for a more traditional model using affective, cognitive, and somatic factors.

Results:

The mean total BDI–II score was 14.74 (SD = 8.52; range = 1–46). Fit statistics for all models were good, but the novel three-factor model with sickness behavior provided the best fit: χ2(186) = 273.624; p < 0.001; root-mean-square error of approximation = 0.053; comparative fit index = 0.949.

Significance of results:

Both the two- and three-factor models provide support for the unique construct of sickness behavior in patients with advanced cancer. High factor correlations with the BDI–II and other measures of distress were observed, which raises questions about theoretically distinct, but related, constructs.

Keywords

CancerDepressionSickness behaviorSymptom clustersBeck Depression Inventory–II
Type
Original Articles
Information
Palliative & Supportive Care , Volume 15 , Issue 6 , December 2017 , pp. 704 - 709
Copyright
Copyright © Cambridge University Press 2017 

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