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Determinants of Nutrition Facts Table Use by Chinese Consumers for Nutritional Value Comparisons

Author

Listed:
  • Zeying Huang

    (Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

  • Haijun Li

    (School of Information &Intelligence Engineering, University of Sanya, Sanya 572022, China)

  • Jiazhang Huang

    (Institute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100081, China)

Abstract

The nutrition facts table is a nutrition labeling tool designed to inform consumers of food nutritional contents and enable them to make healthier choices by comparing the nutritional values of similar foods. However, its adoption level is considerably low in China. This study employed the Chi-squared Automatic Interaction Detection (CHAID) algorithm to explore the factors associated with respondents’ adoption of nutrition facts table to compare the nutritional values of similar foods. Data were gathered through a nationally representative online survey of 1500 samples. Results suggested that consumers’ comprehension of the nutrition facts table was a direct explanatory factor for its use. The usage was also indirectly explained by people’s nutrition knowledge, the usage of nutrition facts table by their relatives and friends, and their focus on a healthy diet. Therefore, to increase the use of nutrition facts table by Chinese consumers, the first consideration should be given to enhancing consumers’ comprehension of the labeling

Suggested Citation

  • Zeying Huang & Haijun Li & Jiazhang Huang, 2022. "Determinants of Nutrition Facts Table Use by Chinese Consumers for Nutritional Value Comparisons," IJERPH, MDPI, vol. 19(2), pages 1-11, January.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:2:p:673-:d:719932
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    References listed on IDEAS

    as
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    2. Kaplan, Giora & Baron-Epel, Orna, 2003. "What lies behind the subjective evaluation of health status?," Social Science & Medicine, Elsevier, vol. 56(8), pages 1669-1676, April.
    3. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
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