Effect of Disclosure on Receiving Spousal Support in Korean Immigrants With Type 2 Diabetes
Sarah Choi1, Joy Toyama2, Mary-Lynn Brecht1
1UCLA School of Nursing, University of California at Los Angeles, Los Angeles, California.
Purpose:
The purpose of this study was to investigate factors associated with receiving diabetes spousal support in a sample of Korean immigrants with type 2 diabetes (T2DM) and to test whether disclosure (culture-specific factor) is a significant predictor of spousal support receipt in this group.
Methods:
A cross-sectional survey was conducted with a convenience sample of 136 US community-dwelling Korean immigrants with T2DM ages 46 to 89 years old. Potential predictors were sociodemographic factors (age, gender, education, years in US), personal characteristics (quality of marriage and depression), diabetes severity (duration of diabetes, A1C, insulin use), diabetes self-management, diabetes worries/concerns (psychological factor), and disclosure of worries (cultural factor). The study used validated survey instruments including Diabetes Care Profile for spousal support received, Summary of Diabetes Self-Care Activities, Problem Area in Diabetes, and Diabetes Distress Disclosure Index. Descriptive statistics, correlations, and hierarchical multivariable linear regression models were conducted.
Results:
Six predictors (education level, years spent in the US, glucose control status, diabetes self-management level, diabetes worries/concerns, and disclosure of diabetes worries) were significantly related to receiving spousal support. At least some college education, less time in the US, better glucose control (lower A1C), poor self-management, more diabetes worries, and more disclosure of diabetes worries/distress were associated with receiving higher level of spousal support. Disclosure was the strongest predictor.
Conclusion:
Receiving spousal support for diabetes self-management among Korean immigrants is influenced by 6 factors identified in this study. Disclosing diabetes worries (cultural factor) is most impactful.
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