ArticleJournal of education and health promotion2023
Adolescents diabetes awareness test (ADAT): Tool development and psychometrics evaluation research.
Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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5 authors.
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Abstract
backgroundDuring the last two decades, several reports have indicated an increase in the number of type-2 diabetes among adolescents. Therefore, an assessment of adolescents' awareness of this disease deserves serious consideration. This study aims at designing a psychometric tool for assessing adolescents' awareness of type-2 diabetes. METHODS AND MATERIAL: In this methodological research, 770 students attending 10 middle schools (five girls "schools and five boys" schools) from Tehran participated in the study. The questionnaire was designed by examining the relevant literature and the existing questionnaires, as well as considering the research team's comments, and the initial pool of items with 57 questions was designed. Face validity, content validity, and construct validity were calculated to determine the validity of the instrument. Reliability was measured via internal consistency coefficient (ICC) and internal consistency reliability was measured with Cronbach Alpha. SPSS 16 was used for data analysis.
resultsThe questionnaire was initially designed with 57 items. Based on the results of CVR and CVI, five questions were removed. The average CVR and CVI were 0.75 and 0.82, respectively. Following exploratory factor analysis, the 30 questions in the questionnaire were categorized into five dimensions: public awareness, symptoms, behavioral risk factors, long-term effects, and medium-term effects. The internal reliability was calculated for the whole questionnaire-ICC = 0.87 with a Cronbach alpha coefficient of 0.80.
conclusionsThe resulting questionnaire on adolescents' awareness of type-2 diabetes, with 30 questions in five dimensions, can be employed by researchers for its high factor loading in factor analysis and its standard psychometric properties.
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