Translation and application of an obesity behavior change technique training in a Spanish nursing undergraduate setting.
| Autor: | Neipp MC; Department of Health Psychology. University Miguel Hernández. Elche. Spain. neipp@umh.es., Martínez-González MC, Chisholm A, Peters S, Hart J |
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| Jazyk: | angličtina |
| Zdroj: | Anales del sistema sanitario de Navarra [An Sist Sanit Navar] 2021 Apr 28; Vol. 44 (1), pp. 51-59. Date of Electronic Publication: 2021 Apr 28. |
| DOI: | 10.23938/ASSN.0938 |
| Abstrakt: | Background: The TEnT PEGS framework is a behavior change communication toolkit which has been shown to be useful in increasing health professional trainees' skills and knowledge about obesity-related behavior change techniques. There is no version of the behavioral change intervention toolkit in Spanish. Therefore, the objectives of this study were 1) to translate the TEnT PEGS framework into Spanish and apply it to a Spanish nursing student population; 2) To analyze whether training with the Spanish toolkit (DEPREMIO) had a positive impact on students' skills in encouraging obesi-ty-related behavioral change. Methods: First year nursing students (n=95) attended two face-to-face (2 hours per session) obesity management training sessions. A specifically designed pre-post test was carried out. Data were collected using an ad-hoc questionnaire of fourteen items, ten of them evaluated the student's knowledge and attitude about behavior change techniques, and four evaluated the student's perception of their skills in developing different strategies. Results: Training significantly increased most students' knowledge and attitudes with a 0.05 level of significance and effect sizes were between 0.36 and 0.77. It also increased students' skills, although not to any significant extent. Conclusion: The DEPREMIO toolkit helped nursing students to acquire more knowledge, attitudes and skills in obesity management. It therefore seems that this adaptation is an acceptable and feasible training tool for the Spanish nursing student population. |
| Databáze: | MEDLINE |
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