Preliminary Evaluation of a Scenario-based Nutrition Literacy Online Programme for College Students: a Pilot Study

Overview

Journal Public Health Nutr

Publisher Cambridge University Press

Date 2023 Nov 6

PMID 37927137

Authors

I-Ju Lai

Li-Chun Chang

Chia-Kuei Lee

Li-Ling Liao

Affiliations

Soon will be listed here.

Abstract

Objective: This study aimed to develop and evaluate a scenario-based nutrition literacy (NL) online programme for Taiwanese college students.

Design: A randomised pilot trial design was used in this study.

Setting: The study was conducted at a university in Taiwan. The intervention consisted of a five-unit web-based NL programme including videos of real-life scenario-based stories, situational analysis teaching and after-unit quizzes. Theme-related website information and smartphone apps (both iOS and Android systems) were offered for reference in every unit. The NL measure consisted of a self-rated scale, a scenario-based test and a healthy eating behaviour survey. Paired sample t-tests and ANCOVA were performed to test the effects on NL and healthy eating behaviour.

Participants: Participants were ninety-eight students, with a retention rate of 98 %. The ratio of men to women was 0·2:1. Most students were freshmen (48 %).

Results: Compared with the control group, the experimental group showed significant post-intervention improvements in the NL and healthy eating behaviours after controlling for pretest scores.

Conclusions: This pilot study offers preliminary evidence of the potential positive effects of implementing a scenario-based NL online programme for college students. It offers a possibly novel strategy to enhance health-promoting behaviours in Taiwanese universities. Further research with larger sample sizes and more rigorous designs is warranted to confirm and build upon these initial findings.

Citing Articles

Dietary Knowledge, Attitude, Practice Survey and Nutritional Knowledge-Based Intervention: A Cross-Sectional and Randomized Controlled Trial Study among College Undergraduates in China.

Wu J, Yu W, Xu Z, Chen Y, Li J, Sun Q Nutrients. 2024; 16(14.

PMID: 39064808 PMC: 11279395. DOI: 10.3390/nu16142365.

Assessing the Quality of ChatGPT's Dietary Advice for College Students from Dietitians' Perspectives.

Liao L, Chang L, Lai I Nutrients. 2024; 16(12).

PMID: 38931294 PMC: 11206595. DOI: 10.3390/nu16121939.

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