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. 2018 Jan;101(1):124-131.
doi: 10.1016/j.pec.2017.06.036. Epub 2017 Jul 8.

Emotion regulation contributes to the development of diabetes distress among adults with type 1 diabetes

Lawrence Fisher  1 , Danielle Hessler  2 , William Polonsky  3 , Lisa Strycker  4 , Susan Guzman  5 , Vicky Bowyer  6 , Ian Blumer  7 , Umesh Masharani  8
Affiliations

Emotion regulation contributes to the development of diabetes distress among adults with type 1 diabetes

Lawrence Fisher et al. Patient Educ Couns. 2018 Jan.

Abstract

Objective: To demonstrate how maladaptive emotion regulation (ER) can lead to diabetes distress (DD), with subsequent effects on management and metabolic outcomes among adults with type 1 diabetes.

Methods: Data are based on pre-intervention assessment for a random controlled trial to reduce DD. Patients were recruited in California, Oregon, Arizona and Ontario, Canada. After screening and consent, patients completed an online assessment and released their most recent laboratory HbA1C. Structural equation modeling was used to define an ER measurement model and test for significant pathways.

Results: Three ER mechanisms combined into a single construct: emotion processing, non-judgment of emotions, non-reactivity to emotions. Models indicated a significant pathway from ER and cognitions to DD to disease management to metabolic control.

Conclusions: As hypothesized, the three ER mechanisms formed a single, coherent ER construct. Patients with poor ER reported high DD; and high DD was linked to poor diabetes management and poor metabolic control.

Practice implications: Identifying both the level of DD and the ER mechanisms that lead to high DD should be explored in clinical settings. Helping T1Ds to become more aware, less judgmental and less reactive behaviorally to what they feel about diabetes and its management may reduce DD.

Keywords: Diabetes; Diabetes distress; Emotion management.

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Figures

Figure 1
Figure 1
An emotion regulation – diabetes distress framework.
Figure 2
Figure 2
Pathways of interest in the theoretical model.
Figure 3
Figure 3
The full model with correlation and standardized regression coefficients. Shading indicates the significant indirect effect.
See this image and copyright information in PMC

References

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