血糖性
2型糖尿病
代谢综合征
医学
糖尿病
自我管理
心理干预
健康素养
糖尿病管理
自我效能感
临床心理学
老年学
心理学
医疗保健
精神科
内分泌学
社会心理学
机器学习
经济
经济增长
计算机科学
作者
Meihua Ji,Dianxu Ren,Jacqueline Dunbar‐Jacob,Tiffany L. Gary-Webb,Judith A. Erlen
出处
期刊:Nursing Research
[Ovid Technologies (Wolters Kluwer)]
日期:2019-11-04
卷期号:69 (2): E9-E17
被引量:35
标识
DOI:10.1097/nnr.0000000000000401
摘要
Background Diabetes self-management and glycemic control are suboptimal among Chinese patients with Type 2 diabetes with a large proportion of patients identified with metabolic syndrome. Objectives Based on social cognitive theory, this study examines the effect of selected personal, behavioral, and environmental factors on self-management behaviors, glycemic control, metabolic syndrome and Type 2 diabetes. Methods A cross-sectional study was conducted among 207 Chinese with Type 2 diabetes living in a suburban area of Beijing, China. Regression models were applied to examine the effect of selected personal, behavioral, and environmental factors on self-management behaviors, glycemic control, and metabolic syndrome. The relationship among individual self-management behaviors, glycemic control, and metabolic syndrome was also examined. Results Self-efficacy was significantly associated with all self-management behaviors. Social support was related to overall self-management, diabetes knowledge was related to diet, and depressive symptoms was related to self-monitoring. Problem-solving and self-management behaviors related to medication adherence and diet were significant correlates of glycemic control. Health literacy and self-management behaviors related to physical activity were correlates of metabolic syndrome. Discussion Findings suggest that a multifactorial approach may be beneficial when providing care for Chinese with Type 2 diabetes. In addition, these findings provide support for developing and testing tailored interventions that address problem-solving, health literacy, and self-efficacy, among other factors, to help patients achieve optimal glycemic control and thereby reduce their risk for metabolic syndrome and related complications.
科研通智能强力驱动
Strongly Powered by AbleSci AI