Disentangling Clinical Depression from Diabetes-Specific Distress: Making Sense of the Mess We’ve Made

Esbitt, Sabrina; Tanenbaum, Molly L.; Gonzalez, Jeffrey S.

doi:10.1007/978-0-85729-751-8_2

Cited by 26 publications

(34 citation statements)

References 63 publications

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“…Several definitions (Aikens, 2012;Esbitt et al, 2013;Fisher, Gonzalez, et al, 2014;Polonsky, 2000;Polonsky et al, 1995;Schmitt, Reimer, Kulzer, Haak, Gahr, et al, 2015;Welch, Jacobson, & Polonsky, 1997) have been applied over the past 20 years, ranging from a brief early description (e.g. "Breadth of emotional responses to diabetes" (p755) (Polonsky et al, 1995) to more recent detailed explanations (e.g.…”

Section: Methodsmentioning

confidence: 99%

“…Similarly, measures assessing other constructs (e.g. the ATT-39, which assesses diabetes attitudes and beliefs) have been reported as measures of DD (Esbitt, Tanenbaum, & Gonzalez, 2013;Snoek, Bremmer, & Hermanns, 2015). Beyond operationalizing DD with the PAID or the DDS, a common understanding of how to conceptualize DD and differentiate it from other commonly assessed constructs has not yet emerged in the literature.…”

Section: Introductionmentioning

confidence: 99%

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What is diabetes distress and how can we measure it? A narrative review and conceptual model

Dennick

Sturt

Speight

2017

Journal of Diabetes and its Complications

128

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BackgroundDiabetes distress is the negative emotional impact of living with diabetes. It has tangible clinical importance, being associated with sub-optimal self-care and glycemic control. Diabetes distress has been operationalized in various ways and several measures exist. Measurement clarity is needed for both scientific and clinical reasons. ObjectivesTo clarify the conceptualization and operationalization of diabetes distress, identify and distinguish relevant measures, and evaluate their appropriateness for this purpose. ResultsThree measure were identified: Problem Areas in Diabetes (PAID) scale, Diabetes Distress Scale (DDS); Type I Diabetes Distress Scale (T1-DDS), Diabetes-specific Quality of Life Scale-Revised (DSQoLs-R) 'Burden and Restrictions -Daily Hassles' sub-scale, Well-being Questionnaire 28 (W-BQ 28) 'Diabetes Well-being' sub-scale, and Illness Perceptions Questionnaire -Revised (IPQ-R) 'Emotional Representations' sub-scale. Across these measures a broad spectrum of diabetes distress is captured, including distress associated with treatment regimen, food/eating, future/complications, hypoglycemia, social/interpersonal relationships, and healthcare professionals. No single measure appears fully comprehensive. Limited detail is reported of the qualitative work informing scale design, raising concerns about content validity. ConclusionsAcross the available measures diabetes distress is seemingly comprehensively assessed and measures should be considered in terms of their focus and scope to ensure the foci of interventions are appropriately targeted.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

What is diabetes distress and how can we measure it? A narrative review and conceptual model

Dennick

Sturt

Speight

2017

Journal of Diabetes and its Complications

128

View full text Add to dashboard Cite

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“…Esbitt et al (2) explain that DD is "predicated on a variety of medical, contextual and individual factors, not on the presence of a psychiatric condition" (p35).…”

Section: Definition Of Diabetes Distressmentioning

confidence: 99%

“…In scoping the literature we identified 11 studies which have reported proportions of type 1 populations with elevated DD (2,21,38,47,(54)(55)(56)(57)(58)(59)(60). These proportions range from 8% (57) to 65% (2). Nearly half of these studies (combined population of 875 participants) reported proportions of participants with elevated DD of between 17-31% (38, 47, 58, 60, 61).…”

Section: Regimen Distress and Diabetes Endpointsmentioning

confidence: 99%

The Detection and Management of Diabetes Distress in People With Type 1 Diabetes

et al. 2015

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Diabetes distress (DD) represents a significant clinical burden in which levels of DD are related to both HbA1c and some self-management behaviours. DD is related to, but different from, depression.Differences in DD experienced in people with type 1 and type 2 have been observed. Commonly measured by the Problem Areas in Diabetes Scale and the Diabetes Distress Scale, rates of elevated DD in research study participants range 20-30%. Risk factors for elevated DD in type 1 are a longer duration of diabetes, severe hypoglycaemia, younger age and being female. A systematic review of intervention studies assessing DD identified eight RCTs and nine pre-post design studies. Only three studies targeted DD with the intervention. Intervention types were diabetes self-management education (DSME); psychologically informed self-management and; devices. DSME pre-post studies, namely the DAFNE programme (Dose Adjustment For Normal Eating), produced more consistent improvements in DD and HbA1c at follow up. Psychologically informed self-management were more heterogeneous but several RCTs were effective in reducing DD. Group interventions offered the greatest benefits across intervention designs.

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“…Reviews of behavioral health interventions in diabetes management suggest that interventions that address diabetes self-management concurrently with depression may have a greater impact on glycemic outcomes than those that focus on depression (Markowitz, Gonzalez, Wilkinson, & Safren, 2011; Plack, Herpertz, & Petrack, 2010). Thus, addressing the personal and psychological burden of living with T1DM may be an important part of overall diabetes management (Esbitt, Tanenbaum, & Gonzalez, 2013). …”

mentioning

confidence: 99%

“Knowing That You’re Not the Only One”: Perspectives on Group-Based Cognitive-Behavioral Therapy for Adherence and Depression (CBT-AD) in Adults With Type 1 Diabetes

Esbitt

Batchelder

Tanenbaum

et al. 2015

Cognitive and Behavioral Practice

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Depression and illness-specific distress are more common among adults with Type 1 diabetes (T1DM) than the general population and have been associated with poorer control of blood glucose and increased risk for serious diabetes-related complications. Treatment nonadherence has also been associated with depressive symptoms and diabetes-related distress, and has repeatedly been suggested as an important modifiable behavioral pathway linking depression and diabetes outcomes. The present study reports on the feasibility and acceptability of a pilot intervention using group-based cognitive-behavioral therapy to improve treatment adherence among adults with T1DM and elevated levels of diabetes-related distress or depressive symptoms. We describe the components of the intervention and utilize qualitative data along with descriptive outcome data. Our findings suggest that participation in the group was acceptable and associated with reductions in depressive symptoms and diabetes-specific distress. Challenges to feasibility and future directions are discussed.

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Disentangling Clinical Depression from Diabetes-Specific Distress: Making Sense of the Mess We’ve Made

Cited by 26 publications

References 63 publications

What is diabetes distress and how can we measure it? A narrative review and conceptual model

What is diabetes distress and how can we measure it? A narrative review and conceptual model

The Detection and Management of Diabetes Distress in People With Type 1 Diabetes

“Knowing That You’re Not the Only One”: Perspectives on Group-Based Cognitive-Behavioral Therapy for Adherence and Depression (CBT-AD) in Adults With Type 1 Diabetes

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