Litcius/Paper detail

The buffering effect of social support on diabetes distress and depressive symptoms in adults with Type 1 and Type 2 diabetes

Elizabeth A. Beverly, Marilyn D. Ritholz, Krishna Dhanyamraju

2020Diabetic Medicine44 citationsDOI

Abstract

Abstract Background Social support may buffer or decrease the negative effects of diabetes distress (DD) and depressive symptoms on diabetes outcomes. We assessed the buffering role of social support in the relationship between DD and self‐care and depressive symptoms and self‐care in adults with Type 1 (T1D) and Type 2 (T2D) diabetes. Methods Participants completed the Diabetes Distress Scale for T2D or T1D, the Patient Health Questionnaire‐9, the Medical Outcomes Study Social Support Survey and the Self‐Care Inventory‐Revised. We conducted hierarchical multiple regression models using SPSS version 26.0. Results A total of 325 adults (median age = 40.5 years, 62.2% women, 86.5% White; 59.7% T2D, A1C = 59 ± 6 mmol/mol or 7.5 ± 1.6%; median duration = 11.0 years) participated. Greater social support buffered the negative effects of DD on self‐care ( R 2 Δ = 0.015, p = 0.024) as well as depressive symptoms on self‐care ( R 2 Δ = 0.024, p = 0.004) in participants with T1D and T2D. Both regression models recorded medium effect sizes ( F 2 = 0.220, F 2 = 0.234 respectively). Social support subscale analyses showed tangible support ( R 2 Δ = 0.016, p = 0.018) and affectionate support ( R 2 Δ = 0.016, p = 0.020) buffered DD and self‐care, and emotional support ( R 2 Δ = 0.015, p = 0.022), tangible support ( R 2 Δ = 0.020, p = 0.009), affectionate support ( R 2 Δ = 0.025, p = 0.004) and positive interaction support ( R 2 Δ = 0.017, p = 0.018) buffered depressive symptoms and self‐care. Conclusions Findings suggest that social support buffers the impact of DD and depressive symptoms on self‐care in adults with T1D and T2D. Additional research is needed to confirm the buffering role of social support on DD and depressive symptoms. Greater understanding of these interactions may help improve clinical care and outcomes.

Topics & Concepts

Social supportMedicineType 2 diabetesDistressMultilevel modelDiabetes mellitusDepressive symptomsClinical psychologyPsychologyEndocrinologyPsychotherapistMachine learningComputer scienceDiabetes Management and EducationChronic Disease Management StrategiesDiabetes Management and Research