• Patient Prefer Adher · Jan 2020

    Understanding and Measuring Adaptation Level Among Community-Dwelling Patients with Metabolic Syndrome: A Cross-Sectional Survey.

    • Xiyi Wang, Jing Shao, and Zhihong Ye.
    • Department of Nursing, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, People's Republic of China.
    • Patient Prefer Adher. 2020 Jan 1; 14: 939947939-947.

    PurposeThis study aimed to translate the Roy adaptation model concept of adaptation level into measurable concepts when considering the health-related quality of life, social support, and self-efficacy of community-dwelling Chinese adults with metabolic syndrome.Patients And MethodsThis was a descriptive cross-sectional study. Data were collected from 144 adults with metabolic syndrome in the suburban area of Hangzhou, China. Correlation analysis was performed to examine the relationships between environmental stimuli (sociodemographic characteristics), adaptation level (health-related quality of life and social support), and prerequisite of behavior (self-efficacy). Regression analysis was applied to test the effect of stimuli on adaptation level and their associations with behavior.ResultsAdaptation level was potentially influenced by environmental stimuli and evaluated by the quality of life. Age and education level were related to physiological and psychological function. Besides, family income was related to physiological function. Thus, adaptation level may predict individuals' behavior towards illness management, with a percentage classification accuracy of 76.40%. The vitality and social functioning of the quality of life were identified as significant correlates of self-efficacy.ConclusionOur findings demonstrate that individuals' internal and external resources should be considered when developing nursing interventions to improve patients' adaptation level. Future research should explore whether facilitating self-efficacy among community-dwelling adults with metabolic syndrome may positively influence an individual's adaptation process in health management.© 2020 Wang et al.

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