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Pesqui. bras. odontopediatria clín. integr ; 16(1): 411-424, jan.-dez. 2016. tab
Article in English | LILACS, BBO | ID: biblio-912892

ABSTRACT

Objective: To perform cross-cultural adaptation of the Dental Environment Stress (DES), to test its construct validity and reliability, and to identify the sources of stress among Brazilian dental students. Material and Methods: The DES was transculturally adapted to Portuguese using translation/back-translation, review by an expert bilingual committee and consensus building. The first version was tested in a sample of 42 dental students to check the understanding level of the alternatives. The final version was applied to all the students enrolled in a Brazilian Public Dental School. Construct validity was assessed through factor analysis, performed by principal components analysis and Varimax rotation and reliability by internal Cronbach's alpha coefficient (95% CI). Wilcoxon rank sum was conducted to test for gender and Kruskall-Wallis for year comparison. Multivariate analysis relied on ordinal logistic regression modeling. Results: Factor analysis revealed five factors that possessed eigenvalues greater than 1.5 and together explained 46.88% of the total variance. Internal consistency of each factor was adequate, with Cronbach's alpha ranging from 0.65 to 0.84. 'Examinations and grades' (82.80%) was the highest scored item. Females presented higher rates, as well as second's and fifth's years students. The entering students were generally concerned with factors related to "Academic Performance", whereas clinical year students with "Insecurity Concerning their Professional Future". Conclusion: The Portuguese version of the DES presented good results, thus it could be a valid instrument to assess the factors of perceived stress in Lusophone countries, subsidizing the development of strategies to minimize the stress and optimize school performance.


Subject(s)
Humans , Male , Female , Adult , Brazil , Dental Stress Analysis , Students, Dental , Translating , Multivariate Analysis , Statistics, Nonparametric , Surveys and Questionnaires
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