Self-management behavior in patients with type 2 diabetes: A cross-sectional survey in western urban China

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Abstract

Purpose: To investigate the current status of diabetic self-management behavior and the factors influencing this behavior in Chengdu, a typical city in western China. Methods: We performed stratified sampling in 6 urban districts of Chengdu. We used questionnaires concerning selfmanagement knowledge, self-management beliefs, self-management efficacy, social support, and self-management behavior to investigate patients with T2DM from August to November 2011. All of the data were analyzed using the SPSS 17.0 statistical package. Results: We enrolled a total of 364 patients in the present study. The median score of self-management behavior was 111.00, the interquartile range was 100.00-119.00, and the index score was 77.77. Self-management was described as "good" in 46%, "fair" in 45%, and "poor" in 6% of patients. A multiple-factor analysis identified age (OR, 0.43; 95% CI, 0.20- 0.91; P = 0.026), education in "foot care" (OR, 0.42; 95% CI, 0.18-0.99; P = 0.048), self-management knowledge (OR, 0.86; 95% CI, 0.80-0.92; P,0.001), self-management belief (OR, 0.92; 95% CI, 0.87-0.97; P = 0.002), self-efficacy (OR, 0.93; 95% CI, 0.90- 0.96; P,0.001), and social support (OR, 0.62; 95% CI, 0.41-0.94; P = 0.023) as positive factors. Negative factors included diabetes duration (5-9 years: OR, 14.82; 95% CI, 1.64-133.73; P = 0.016; and ≥;10 years: OR, 10.28; 95% CI, 1.06-99.79; P = 0.045) and hospitalization experience (OR, 2.96; 95% CI, 1.64-5.36; P<0.001). Conclusion: We observed good self-management behavior in patients with T2DM in Chengdu. When self-management education is provided, age, education, knowledge, belief, self-efficacy, and social support should be considered to offer more appropriate intervention and to improve patients' behavior.©2014 Huang et al.

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Huang, M., Zhao, R., Li, S., & Jiang, X. (2014). Self-management behavior in patients with type 2 diabetes: A cross-sectional survey in western urban China. PLoS ONE, 9(4). https://doi.org/10.1371/journal.pone.0095138

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