Cognitive and anxiety symptoms in screening for clinical depression in diabetes A systematic examination of diagnostic performances of the HADS and BDI-SF

Sultan, Serge; Luminet, Olivier; Hartemann, A.

doi:10.1016/j.jad.2009.09.022

Cited by 36 publications

(41 citation statements)

References 23 publications

(21 reference statements)

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“…Various screening instruments exclude somatic symptoms, which typically overlap with the side effects of physical illness. In accordance with this, research suggests that affective and cognitive symptoms are optimal for identifying depression in this population (Sultan et al 2010), as they lower the rate of false negatives. Studies in cancer care support this idea (Reuter et al 2004; Warmenhoven et al 2012).…”

Section: Introductionmentioning

confidence: 66%

“…Each item refers to one cognitive or affective symptom (Self-Dislike, sense of Failure, Guilt, Negative Body Image, Pessimism, Suicidal Ideation, Sadness, and Dissatisfaction with Life), and was selected for medical settings (Beck and Beck 1972; Sultan et al 2010). For each item, the responder chooses one of four statements of varying intensity (0–3), according to his/her present state.…”

Section: Methodsmentioning

confidence: 99%

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Oncologists’ perception of depressive symptoms in patients with advanced cancer: accuracy and relational correlates

et al. 2015

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BackgroundHealth care providers often inaccurately perceive depression in cancer patients. The principal aim of this study was to examine oncologist-patient agreement on specific depressive symptoms, and to identify potential predictors of accurate detection.Methods201 adult advanced cancer patients (recruited across four French oncology units) and their oncologists (N = 28) reported depressive symptoms with eight core symptoms from the BDI-SF. Various indices of agreement, as well as logistic regression analyses were employed to analyse data.ResultsFor individual symptoms, medians for sensitivity and specificity were 33% and 71%, respectively. Sensitivity was lowest for suicidal ideation, self-dislike, guilt, and sense of failure, while specificity was lowest for negative body image, pessimism, and sadness. Indices independent of base rate indicated poor general agreement (median DOR = 1.80; median ICC = .30). This was especially true for symptoms that are more difficult to recognise such as sense of failure, self-dislike and guilt. Depression was detected with a sensitivity of 52% and a specificity of 69%. Distress was detected with a sensitivity of 64% and a specificity of 65%. Logistic regressions identified compassionate care, quality of relationship, and oncologist self-efficacy as predictors of patient-physician agreement, mainly on the less recognisable symptoms.ConclusionsThe results suggest that oncologists have difficulty accurately detecting depressive symptoms. Low levels of accuracy are problematic, considering that oncologists act as an important liaison to psychosocial services. This underlines the importance of using validated screening tests. Simple training focused on psychoeducation and relational skills would also allow for better detection of key depressive symptoms that are difficult to perceive.

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Section: Introductionmentioning

confidence: 66%

Section: Methodsmentioning

confidence: 99%

Oncologists’ perception of depressive symptoms in patients with advanced cancer: accuracy and relational correlates

et al. 2015

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“…The results are summed, giving a possible range of 0 to 39. As suggested by research in medical settings, we computed a cognitive and affective symptom score excluding for physical symptoms to evaluate core depressive symptoms in cancer (BDIcog) (Sultan, Luminet, & Hartemann, 2010). BDIcog score range to 0 to 24.…”

Section: Methodsmentioning

confidence: 99%

How Social Sharing and Social Support Explain Distress in Breast Cancer After Surgery: The Role of Alexithymia

Boinon

Sultan

Rosberger

et al. 2012

Journal of Psychosocial Oncology

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Perceived social support has shown to be key to adjustment along the cancer trajectory, but results remain contradictory about the disclosure of the experience of the illness (social sharing) and may reflect the importance of patients characteristics. The authors explored the associations between social sharing, perceived social support, and emotional adjustment in nonmetastatic breast cancer patients and how alexithymia may impact these associations. One hundred and thirteen women with breast cancer from a cancer care center in Villejuif (France) were assessed after breast surgery. Participants completed measures of depression, negative affect, and alexithymia together with a self-description of social sharing of their disease experience and perceived social support. Higher depression and negative affect were related to a high level of emotional sharing, a low satisfaction with confidant's reactions, and a high perceived negative support. In comparison with low-alexithymia patients, those with high alexithymia showed positive associations between negative emotional outcomes and (1) negative social support and (2) emotional sharing. These results suggest that the relationships between social sharing/support and emotional outcomes depend also on individual characteristics, such as alexithymia. Assessing perceived social support and alexithymia in cancer patients is useful to identify who might benefit from social sharing. Interventions could focus on helping the social network and environment to adjust to the socioemotional characteristics of breast cancer patients along the cancer trajectory.

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“…Studies differentiating cognitive-affective and somatic-affective depressive symptoms in diabetes are rare (e.g. [19], [20]). To our knowledge, no study to date has investigated the associations of somatic-affective and cognitive-affective symptoms to diabetes in a large population based study.…”

Section: Introductionmentioning

confidence: 99%

Associations between Depression and Diabetes in the Community: Do Symptom Dimensions Matter? Results from the Gutenberg Health Study

et al. 2014

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ObjectivesWhile a bidirectional relationship between diabetes and depression has been established, there is little knowledge if the associations are due to somatic-affective or cognitive-affective dimensions of depression.Research Design and MethodsIn a population-based, representative survey of 15.010 participants we therefore studied the associations of the two dimensions of depression with diabetes and health care utilization among depressed and diabetic participants. Depression was assessed by the Patient Health Questionnaire PHQ-9.ResultsWe found a linear and consistent association between the intensity of depression and the presence of diabetes increasing from 6.9% in no or minimal depression to 7.6% in mild, 9% in moderate and 10.5% in severe depression. There was a strong positive association between somatic-affective symptoms but not with cognitive-affective symptoms and diabetes. Depression and diabetes were both independently related to somatic health care utilisation.ConclusionsDiabetes and depression are associated, and the association is primarily driven by the somatic-affective component of depression. The main limitation of our study pertains to the cross-sectional data acquisition. Further longitudinal work on the relationship of obesity and diabetes should differentiate the somatic and the cognitive symptoms of depression.

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Cognitive and anxiety symptoms in screening for clinical depression in diabetes A systematic examination of diagnostic performances of the HADS and BDI-SF

Cited by 36 publications

References 23 publications

Oncologists’ perception of depressive symptoms in patients with advanced cancer: accuracy and relational correlates

Oncologists’ perception of depressive symptoms in patients with advanced cancer: accuracy and relational correlates

How Social Sharing and Social Support Explain Distress in Breast Cancer After Surgery: The Role of Alexithymia

Associations between Depression and Diabetes in the Community: Do Symptom Dimensions Matter? Results from the Gutenberg Health Study

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