Diabetes Burden and Diabetes Distress: the Buffering Effect of Social Support

Baek, Rachel N.; Tanenbaum, Molly L.; Gonzalez, Jeffrey S.

doi:10.1007/s12160-013-9585-4

Cited by 139 publications

(128 citation statements)

References 65 publications

(67 reference statements)

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“…Baseline characteristics of the larger sample were described by Baek et al (30), and values for baseline variables included in this analysis were not significantly different between those who are included in the current analysis and those who were lost to follow-up. As seen in Table 1, participants were, on average, ethnically diverse, older adults; 51.9% reported at least one diabetes-related complication and 38.5% were prescribed insulin.…”

Section: Resultsmentioning

confidence: 88%

Tangled Up in Blue: Unraveling the Links Between Emotional Distress and Treatment Adherence in Type 2 Diabetes

et al. 2016

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OBJECTIVEWe conducted comprehensive assessments of emotional distress to examine relations with diabetes medication adherence over time.RESEARCH DESIGN AND METHODSEthnically and socioeconomically diverse adults treated for type 2 diabetes completed validated self-reports (SRs) for diabetes distress and depression, were administered semistructured depression interviews, and provided blood samples for A1C. Medication adherence among 104 participants was electronically monitored (EM) over the subsequent 3 months; validated SRs of medication adherence were also obtained. Hierarchical linear regression evaluated independent effects of diabetes distress and depression on adherence.RESULTSMean ± SD 3-month medication adherence was 76.1% ± 25.7% for EM and 83.7% ± 21.9% for SR. Higher levels of SR (P < 0.001) and interview-based (P < 0.05) depressive symptom severity (P < 0.05) and diabetes-related distress (P < 0.01) showed a significant bivariate association with EM and SR nonadherence. Regression models showed baseline diabetes distress was a significant independent predictor of EM (β = −0.29; P = 0.001) and SR adherence (β = −0.24; P < 0.02) at follow-up. SR depression was an independent predictor of EM and SR adherence and reduced the effects of diabetes distress to nonsignificance. Subsequent models indicated this effect was driven by somatic rather than cognitive-affective symptoms of depression. Results were consistent but weaker for interview-based depressive symptoms.CONCLUSIONSFindings support diabetes-related distress and depression symptom severity as risk factors for type 2 diabetes medication nonadherence. Somatic symptoms captured by depression measures, but not cognitive-affective symptoms, independently predict nonadherence and should be further investigated as a potential link between emotional distress and nonadherence.

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Section: Resultsmentioning

confidence: 88%

Tangled Up in Blue: Unraveling the Links Between Emotional Distress and Treatment Adherence in Type 2 Diabetes

et al. 2016

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“…self-care, problem-solving, interpersonal relationships), each of which may be associated with a certain amount of emotional distress that can vary over time within and between individuals/sub-groups of people with diabetes. For example, sources and severity of distress can differ between those with type 1 and type 2 diabetes, and those managing type 2 diabetes with different treatment regimens (Baek, Tanenbaum, & Gonzalez, 2014;Tanenbaum, Kane, Kenowitz, & Gonzalez, 2016). These definitions offer insights into the conceptualization of DD and hence inform its operationalization.…”

Section: Accepted Manuscriptmentioning

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

116

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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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“…Regarding satisfaction with social support for disease management, the amount of satisfaction one perceives depends on the relationship between the giver and the receiver of the support provided (Nicklett, Heisler, Spencer, & Rosland, 2013). Results suggest that the more support satisfaction a person with diabetes experiences, the more likely this support will protect against diabetes burden (Baek, Tanenbaum, & Gonzalez, 2014). …”

Section: Introductionmentioning

confidence: 99%

Associations of Social Support and Self-Efficacy With Quality of Life in Older Adults With Diabetes

Bowen¹,

Clay²,

Lee³

et al. 2015

J Gerontol Nurs

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Older adults are disproportionately affected by diabetes, which is associated with increased prevalence of cardiovascular disease, decreased quality of life (QOL), and increased healthcare costs. The purpose of this study was to assess the relationships between social support, self-efficacy, and QOL in a sample of 187 older African Americans (AA) and Caucasians with diabetes. Greater satisfaction with social support related to diabetes, but not the amount of support received, was significantly correlated with QOL. In addition, persons with higher self-efficacy in managing diabetes had better QOL. In a covariate-adjusted regression model, self-efficacy remained a significant predictor of QOL. Findings suggest the potential importance of incorporating the self-efficacy concept within diabetes management and treatment in order to empower older adults living with diabetes to adhere to care. Further research is needed to determine whether improving self-efficacy among vulnerable older adult populations may positively influence QOL.

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Diabetes Burden and Diabetes Distress: the Buffering Effect of Social Support

Cited by 139 publications

References 65 publications

Tangled Up in Blue: Unraveling the Links Between Emotional Distress and Treatment Adherence in Type 2 Diabetes

Tangled Up in Blue: Unraveling the Links Between Emotional Distress and Treatment Adherence in Type 2 Diabetes

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

Associations of Social Support and Self-Efficacy With Quality of Life in Older Adults With Diabetes

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