Literature DB >> 30264898

Physical symptom complaints, cognitive emotion regulation strategies, self-compassion and diabetes distress among adults with Type 2 diabetes.

N S Kane1,2, C J Hoogendoorn1, M L Tanenbaum3, J S Gonzalez1,4,5.   

Abstract

AIMS: Diabetes-related distress is common among adults with Type 2 diabetes and is consistently associated with poorer self-management and treatment outcomes. However, little is known about the psychological factors that may contribute to or protect against diabetes distress. This study examined illness burden, and positive and negative ways of thinking and relating to oneself in times of stress, as independent correlates of diabetes distress, cross sectionally and longitudinally.
METHOD: A total of 120 adults treated for Type 2 diabetes reported their physical symptom complaints, cognitive emotion regulation, self-compassion and diabetes distress at baseline; 110 completed a 3-month follow-up assessment of diabetes distress. Pearson correlations and multivariable linear regression tested baseline and longitudinal relationships.
RESULTS: Baseline diabetes distress was associated with greater use of negative cognitive emotion regulation strategies (r = 0.43, P < 0.01), greater tendency towards self-criticism, self-judgement and over-identification (r = 0.37, P < 0.01), and greater physical symptom burden (r = 0.50, P < 0.01). Baseline physical symptoms and negative cognitive emotion regulation were independently associated with baseline diabetes distress. Baseline physical symptoms and negative aspects of self-compassion significantly predicted diabetes distress over 3 months. Positive aspects of cognitive emotion regulation and self-compassion were not independently associated with diabetes distress cross sectionally or longitudinally.
CONCLUSION: Greater symptom burden along with the use of negative cognitive emotion regulation and negative aspects of self-compassion were independently associated with diabetes distress. If these relations are explained by causal influence, these modifiable factors could be fruitful targets for intervention research.
© 2018 Diabetes UK.

Entities:  

Mesh:

Year:  2018        PMID: 30264898      PMCID: PMC7313242          DOI: 10.1111/dme.13830

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


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