Assessment of an e-training tool for college students to improve accuracy and reduce effort associated with reading nutrition labels

Miller, Leonard E.; Sutter, Carolyn; Wilson, Machelle; Bergman, Jacqueline J.; Beckett, Laurel A.; Gibson, Tanja N.

doi:10.1080/07448481.2018.1484369

Cited by 4 publications

(1 citation statement)

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“…Female college students’ use of nutrition labels is influenced by their nutrition knowledge and that lack of time is a major barrier to the use of nutrition labels ( 19 ) are consistent with our findings. Thus, nutrition educational interventions should be implemented to impart nutrition-related knowledge to boost people’s use of nutrition labels ( 20 ). In our study, the use of nutrition labels and dietary supplement use were influenced by prior nutrition education and diet-related circumstances, and we predict that such behaviors among young adults would have a greater impact on their health outcomes in middle or older adulthood.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing the Eating Behaviors of Young Adults Using the 2013-2018 Korea National Health and Nutrition Examination Survey

Chae¹,

Park²

2022

ijph

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Background: There is a substantial gap in the eating behaviors between the sexes. We aimed to analyze the predictors of eating behaviors by sex in the young adult population. Methods: We used the data of the sixth and seventh Korea National Health and Nutrition Examination Survey conducted by the Korea Disease Control and Prevention Agency last 2013–2018. Data from 2,502 women and 2,101 men aged 19–29 yr were included in the analysis using frequency, percentage, x2-test, and multiple logistic regression. Results: Education (0.612, CI=0.465~0.805), economic status (2.104, CI=1.435-3.086), marital status (3.162, CI=2.356~4.243), and household structure (0.403, CI=0.208~0.782) were identified to predict the frequency of dining-out in women, while marital status (0.302, CI=0.121~0.749), economic activity (1.969, CI=1.483~2.613), and household structure (0.243, CI=0.137~0.432) predicted dining-out frequency in men. The current smoking status predicted most eating behaviors, including breakfast skipping frequency (1.864, CI=1.318~2.637), use of supplements (2.062, CI=1.439~2.953), and use of nutrition labels (1.545, 1.084~2.204) for men. Meanwhile, nutrition labeling was used less in both men (0.550, CI=0.343~0.882) and women (0.646, CI=0.473~0.882) who subjective body recognition as obesity. Conclusion: The factors that primarily predicted the frequency of dining out in young women and the behavior of breakfast skipping, use of nutrition labels, and frequency of dining-out in men can be used as foundational data for developing sex-specific intervention programs to improve eating behaviors.

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Section: Discussionmentioning

confidence: 99%

Factors Influencing the Eating Behaviors of Young Adults Using the 2013-2018 Korea National Health and Nutrition Examination Survey

Chae¹,

Park²

2022

ijph

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Nutrition label processing in the past 10 years: Contributions from eye tracking approach

Zhuang

2021

Appetite

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Digital native students using nutritional apps: are they more adherent to a Mediterranean diet model? Results from the Good APPetite Survey.

Marconi,

Carrara,

Gilberti

et al. 2024

Smart Health

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Assessment of an e-training tool for college students to improve accuracy and reduce effort associated with reading nutrition labels

Abstract: The nutrition label e-training tool presented here, whether used alone or as part of other wellness and health programs, may be an effective way to boost students' label-reading skills and healthy food choices, before they settle into grocery shopping habits.

Cited by 4 publications

References 48 publications

Factors Influencing the Eating Behaviors of Young Adults Using the 2013-2018 Korea National Health and Nutrition Examination Survey

Factors Influencing the Eating Behaviors of Young Adults Using the 2013-2018 Korea National Health and Nutrition Examination Survey

Nutrition label processing in the past 10 years: Contributions from eye tracking approach

Digital native students using nutritional apps: are they more adherent to a Mediterranean diet model? Results from the Good APPetite Survey.

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