Abstract

Background

Clinical assessment of depression is an important part of pre-surgical assessment among individuals with morbid obesity. However, there is no agreed-upon instrument to identify mood psychopathology in this population. We examined the reliability and criterion validity of the clinician-administered Montgomery-Asberg Depression Rating Scale (MADRS) and the utility of a short version for bariatric surgery candidates.

Methods

The sample was 374 patients with obesity, consecutively recruited from the waiting list of a bariatric surgery clinic of University Hospital, Brazil: women 80 %, mean BMI 47 kg/m2, mean age 43.0 years. The 10-item MADRS was analyzed against the SCID-I. Items that showed small relevance to sample's characteristics and contribution to data variability were removed to develop the short 5-item version of scale. We calculated the sensitivity and specificity of cutoff points of both versions MADRS, and values were plotted as a receiver operating characteristic curve.

Results

For the 10-item MADRS, the Cronbach's alpha coefficient was 0.93. When compared against SCID-I, the best cut-off threshold was 13/14, yielding sensitivity of 0.81 and specificity 0.85. Following items were removed: reduced appetite, reduced sleep, concentration difficulties, suicide thought and lassitude. The 5-item version showed an alpha coefficient of 0.94 and a best cut-off threshold of 10/11, yielding sensitivity of 0.81 and specificity 0.87. Similar overall ability to discriminate depression of almost 90 % was found for both 10-item and 5-item MADRS.

Conclusion

The MADRS is a reliable and valid instrument to assess depressive symptoms among treatment-seeking bariatric patients. Systematic application of the abbreviated version of the MADRS can be recommended for enhancing the clinical detection of depression during perioperative period.

Details

Title
Clinical utility of the Montgomery-Asberg Depression Rating Scale for the detection of depression among bariatric surgery candidates
Author
Duarte-Guerra, Leorides Severo; Gorenstein, Clarice; Paiva-Medeiros, Paula Francinelle; Santo, Marco Aurelio; Francisco Lotufo Neto; Yuan-Pang, Wang
Publication year
2016
Publication date
2016
Publisher
BioMed Central
e-ISSN
1471244X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1797618770
Copyright
Copyright BioMed Central 2016