Sweet as Sugar-How Shared Social Identities Help Patients in Coping with Diabetes Mellitus.
Svenja B FrenzelAntonia J KaluzaNina M JunkerRolf van DickPublished in: International journal of environmental research and public health (2022)
Social identification is health-beneficial as social groups provide social support (i.e., the social cure effect). We study this social cure effect in diabetes patients by focusing on two relevant sources of social support, namely medical practitioners (MP) and fellow patients. As both groups have diabetes-specific knowledge, we predict that sharing an identity with them provides access to specific support, which, in turn, optimizes individuals' diabetes management and reduces diabetes-related stress. We further predict that identifying with their MP or fellow patients will be more strongly related to perceived social support among individuals with lower diabetes-specific resilience because they pay more attention to supportive cues. We tested this moderated mediation model in a two-wave study with n = 200 diabetes patients. Identification with the MP related to more support, which, in turn, was related to better diabetes management and less diabetes-specific stress. Identification with fellow patients related to more support; however, social support was unrelated to diabetes management and stress. Resilience only moderated the relationship between MP identification and support, as people with lower resilience levels reported more support from their MP. This study shows the importance of social identification with the MP and other diabetes patients, especially for people with lower resilience levels.
Keyphrases
- social support
- end stage renal disease
- type diabetes
- depressive symptoms
- ejection fraction
- cardiovascular disease
- newly diagnosed
- healthcare
- chronic kidney disease
- mental health
- glycemic control
- peritoneal dialysis
- prognostic factors
- primary care
- metabolic syndrome
- physical activity
- social media
- insulin resistance
- patient reported
- drinking water
- sensitive detection
- living cells