Development and psychometric evaluation of nutrigenomics and personalized nutrition-related knowledge, attitude, and behavior questionnaire in dietetic students and professionals

This study aimed to develop and test the psychometric properties of a questionnaire assessing knowledge, attitudes, and behaviors (KAB) related to nutrigenomics and personalized nutrition (PN) in dietetic students and professionals in India. A literature review, six focus group discussions (n = 37), and nine in-depth interviews guided initial item generation. The face, item, and scale content validity indices were calculated and a cross-sectional sample (n = 297) examined the item difficulty (IDI), item discrimination (DI), and internal consistency. Test-retest reliability was estimated in a sub-sample (n = 64) and confirmatory factor analysis method (CFA) using model fit indices - factor loadings, Tucker Lewis Fit Index, and Root Mean Square Error of Approximation established construct validity. The IDI ranged from 0.60 to 0.72 and the mean Cronbach α was 0.82. The CFA results presented four constructs - 1) knowledge and understanding of nutrigenomics, 2) attitude, and willingness to learn nutrigenomics, 3) behaviors toward gene-based dietary advice, 4) training and confidence to practice PN. The intraclass correlation coefficients for knowledge, attitude, behavior, and training domains were 0.74, 0.83, 0.72, and 0.81. The psychometric evaluation indicated that the 45-item KAB_PN is a valid and reliable instrument to assess students' and dietitians' knowledge and perspectives toward nutrigenomics and PN.

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Journal
Scientific Reports
Published
2024-12-30
DOI
https://doi.org/10.1038/s41598-024-82080-9
Primary Topic
Nutrition, Genetics, and Disease
Type
article
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article

Development and psychometric evaluation of nutrigenomics and personalized nutrition-related knowledge, attitude, and behavior questionnaire in dietetic students and professionals

Jagmeet Madan, Janvi Nemani, Panchali Moitra, Saba Madre
Scientific Reports
Nutrition, Genetics, and Disease
article

Development and psychometric evaluation of nutrigenomics and personalized nutrition-related knowledge, attitude, and behavior questionnaire in dietetic students and professionals

Jagmeet Madan, Janvi Nemani, Panchali Moitra, Saba Madre
article en

Abstract

This study aimed to develop and test the psychometric properties of a questionnaire assessing knowledge, attitudes, and behaviors (KAB) related to nutrigenomics and personalized nutrition (PN) in dietetic students and professionals in India. A literature review, six focus group discussions (n = 37), and nine in-depth interviews guided initial item generation. The face, item, and scale content validity indices were calculated and a cross-sectional sample (n = 297) examined the item difficulty (IDI), item discrimination (DI), and internal consistency. Test-retest reliability was estimated in a sub-sample (n = 64) and confirmatory factor analysis method (CFA) using model fit indices - factor loadings, Tucker Lewis Fit Index, and Root Mean Square Error of Approximation established construct validity. The IDI ranged from 0.60 to 0.72 and the mean Cronbach α was 0.82. The CFA results presented four constructs - 1) knowledge and understanding of nutrigenomics, 2) attitude, and willingness to learn nutrigenomics, 3) behaviors toward gene-based dietary advice, 4) training and confidence to practice PN. The intraclass correlation coefficients for knowledge, attitude, behavior, and training domains were 0.74, 0.83, 0.72, and 0.81. The psychometric evaluation indicated that the 45-item KAB_PN is a valid and reliable instrument to assess students' and dietitians' knowledge and perspectives toward nutrigenomics and PN.

Scientific ReportsVol. 14(1)
Shreemati Nathibai Damodar Thackersey Women's University (IN)
Zero hunger
Openalex Percentile: Top 73%
Nutrition, Genetics, and Disease
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Development and psychometric evaluation of nutrigenomics and personalized nutrition-related knowledge, attitude, and behavior questionnaire in dietetic students and professionals — Jagmeet Madan, Janvi Nemani, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS