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- Title
Psychometric Properties of the Turkish Version of the Diabetes Self-Management Instrument.
- Authors
Deniz, Kaya Meral; Yasemin, Kutlu Fatma; Banu, Boyuk
- Abstract
Background: Diabetes Self-management Instrument, differently from other scales, evaluates medical practices, healthy nutrition, healthy weight loss, and the status of regular exercise as well as the patient's physical, social, and psychological status. It is thought that researching the psychometric properties of the scale in a different cultural environment will provide evidence regarding cultural characteristics in diabetes self-management. Objectives: In this study, psychometric properties of the Turkish version of the Diabetes Self-management Instrument were assessed. Methodology: The study sample consisted of 175 diagnosed type 2 diabetes people living in the Marmara region of Turkey. In order to obtain of data, a questionnaire was designed containing demographic questions and Diabetes Self-management Instrument. The psychometric properties of the scale were studied through a methodological, descriptive and correlational design. Results: Reviewing the internal consistency of the Diabetes Self-Management scale produced a reliability value of α = 0.950. The RMSEA fit measurement was 0.086 and exhibits acceptable fit. While RFI, another fit measurement, exhibited good fit, the NFI, NNFI, CFI, IFI, and SRMR measurements exhibit acceptable fit. Based on this, the adaptation of the good fit and acceptable fit by the fit measurements and the adaptation of acceptable fit by the correction chi-share value demonstrate that our data has acceptable fit and that our model is statistically meaningful and valid. Conclusions: In this study, we concluded that the Turkish version of the Diabetes Self-management Instrument is a suitable instrument for measuring self-management in the Turkish population.
- Subjects
TURKEY; DIABETES prevention; META-analysis; STATISTICAL reliability; RESEARCH methodology; PSYCHOMETRICS; QUESTIONNAIRES; CHI-squared test; FACTOR analysis; STATISTICAL correlation; HEALTH self-care
- Publication
International Journal of Caring Sciences, 2021, Vol 14, Issue 1, p244
- ISSN
1791-5201
- Publication type
Article