ArticlePatient preference and adherence2020
Understanding and Measuring Adaptation Level Among Community-Dwelling Patients with Metabolic Syndrome: A Cross-Sectional Survey.
Article in Patient preference and adherence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Understanding adaptive tasks in cardiac rehabilitation among patients with acute myocardial infarction: a qualitative study.Annals of medicine · 2024Article
- Caregiver Burden and Its Associated Factors Among Family Caregivers of Hospitalized Patients with Neurocritical Disease: A Cross-Sectional Study.Journal of multidisciplinary healthcare · 2024Article
- Influence of perceived stress on health-promoting behaviors in patients with metabolic syndrome: the multiple mediating roles of adaptability and social support.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2022Article
- Theory-guided interventions for Chinese patients to adapt to heart failure: A quasi-experimental study.International journal of nursing sciences · 2020Article
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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