Development and Validation of a Diabetes Questionnaire for Middle School Students. 2023

Pari Mokhtari, and Kristine C Jordan, and Andrew Wilson, and Brittany Sisco-Tylor, and Julie M Metos
Department of Nutrition and Integrative Physiology, College of Health, University of Utah, Salt Lake City, Utah. Electronic address: pari.mokhtari@utah.edu.

To develop and validate a questionnaire to assess diabetes knowledge, attitudes, beliefs, and intent to change among middle school students. A cross-sectional validation analysis. Students in 3 urban middle schools in Utah participated in this study. The 25-item questionnaire was validated in independent samples of 277 and 304 students in the seventh and eighth grades. The questionnaire includes the following variables: diabetes knowledge, attitudes, beliefs, and intent to change dietary and physical activity behaviors. Rigorous statistical approaches, including Cronbach's α (goodness of fit) calculation, test-retest reliability, and exploratory and confirmatory factor analyses, were employed to examine the reliability and construct validity. The Cronbach's α coefficients were 0.7 for both subscales demonstrating acceptable internal consistency. All factor loadings were > 0.4, revealing close relations between factors and items. The confirmatory factor analysis model fit was 0.9 for the comparative fit index and Tucker-Lewis Index, indicating a reasonable model-data fit. This study demonstrated the validity of a diabetes questionnaire for middle school students. Future work is needed to validate its use in a diabetes prevention program, given the growing need for diabetes education among young adolescents.

UI MeSH Term Description Entries
D011594 Psychometrics Assessment of psychological variables by the application of mathematical procedures. Psychometric
D011795 Surveys and Questionnaires Collections of data obtained from voluntary subjects. The information usually takes the form of answers to questions, or suggestions. Community Survey,Nonrespondent,Questionnaire,Questionnaires,Respondent,Survey,Survey Method,Survey Methods,Surveys,Baseline Survey,Community Surveys,Methodology, Survey,Nonrespondents,Questionnaire Design,Randomized Response Technique,Repeated Rounds of Survey,Respondents,Survey Methodology,Baseline Surveys,Design, Questionnaire,Designs, Questionnaire,Methods, Survey,Questionnaire Designs,Questionnaires and Surveys,Randomized Response Techniques,Response Technique, Randomized,Response Techniques, Randomized,Survey, Baseline,Survey, Community,Surveys, Baseline,Surveys, Community,Techniques, Randomized Response
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003920 Diabetes Mellitus A heterogeneous group of disorders characterized by HYPERGLYCEMIA and GLUCOSE INTOLERANCE.
D005163 Factor Analysis, Statistical A set of statistical methods for analyzing the correlations among several variables in order to estimate the number of fundamental dimensions that underlie the observed data and to describe and measure those dimensions. It is used frequently in the development of scoring systems for rating scales and questionnaires. Analysis, Factor,Analysis, Statistical Factor,Factor Analysis,Statistical Factor Analysis,Analyses, Factor,Analyses, Statistical Factor,Factor Analyses,Factor Analyses, Statistical,Statistical Factor Analyses
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000293 Adolescent A person 13 to 18 years of age. Adolescence,Youth,Adolescents,Adolescents, Female,Adolescents, Male,Teenagers,Teens,Adolescent, Female,Adolescent, Male,Female Adolescent,Female Adolescents,Male Adolescent,Male Adolescents,Teen,Teenager,Youths
D013334 Students Individuals enrolled in a school or formal educational program. School Enrollment,Enrollment, School,Enrollments, School,School Enrollments,Student
D015203 Reproducibility of Results The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results. Reliability and Validity,Reliability of Result,Reproducibility Of Result,Reproducibility of Finding,Validity of Result,Validity of Results,Face Validity,Reliability (Epidemiology),Reliability of Results,Reproducibility of Findings,Test-Retest Reliability,Validity (Epidemiology),Finding Reproducibilities,Finding Reproducibility,Of Result, Reproducibility,Of Results, Reproducibility,Reliabilities, Test-Retest,Reliability, Test-Retest,Result Reliabilities,Result Reliability,Result Validities,Result Validity,Result, Reproducibility Of,Results, Reproducibility Of,Test Retest Reliability,Validity and Reliability,Validity, Face

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