Effectiveness of Displaying Traffic Light Food Labels on the Front of Food Packages in Japanese University Students: A Randomized Controlled Trial

Author:

Wakui NobuyukiORCID,Matsuoka Raini,Togawa Chikako,Ichikawa Kotoha,Kagi Hinako,Watanabe Mai,Ikarashi Nobutomo,Yamamura Miho,Shirozu Shunsuke,Machida Yoshiaki

Abstract

Nutrition labeling on the front of food packages has been implemented worldwide to help improve public health awareness. In this randomized double-blind controlled trial, we used a Google Forms questionnaire to evaluate the effectiveness of nutrition labeling on food packages in university students. The questionnaire, ultimately completed by 247 students, included 15 dietary images from which they were asked to choose what they wanted to eat for breakfast, lunch, and dinner the following day. For the interventional (traffic light food [TLF]) group only, TLF labels were displayed on dietary images. This group had a significantly higher proportion of people conscious of healthy eating during all meals than the control group, and the effect of TLF labeling on choosing meals was the highest for lunch. In addition to the indicated nutritional components, the TLF group had a significantly higher proportion of people who were conscious of the ones of protein and dietary fiber that were not indicated on the label. The use of TLF labels resulted in an increase in the proportion of people choosing a healthy diet as well as being conscious of their nutritional components. Therefore, the use of TLF labels may help promote healthy dietary choices in Japan.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference37 articles.

1. NCD Risk Factor Collaboration (NCD-RisC) (2016). Trends in adult body-mass index in 200 countries from 1975 to 2014: A pooled analysis of 1698 population-based measurement studies with 19·2 million participants. Lancet, 387, 1377–1396.

2. World Health Organization (2022, October 15). Controlling the Global Obesity Epidemic, Available online: https://www.who.int/activities/controlling-the-global-obesity-epidemic.

3. Imperial College London (2022, October 15). World’s Obese Population Hits 640 Million, According to Largest Ever Study. Available online: https://www.imperial.ac.uk/news/171536/worlds-obese-population-hits-640-million.

4. Pasco, J.A., Brennan, S.L., and Kotowicz, M.A. (2013). Morbid obesity in women on the rise: An observational, population-based study. BMC Public Health, 13.

5. Japan Preventive Association of Lifestyle Related Disease (2022, October 15). News. Available online: http://www.seikatsusyukanbyo.com/calendar/2016/009081.php.

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