Original Article
The preference for Front-of-Pack Labeling and its association with the understanding of Nutrition Facts Panel among residents aged 18 to 70: results of a survey in 6 provinces of China
Hu Yiluan, Yan Ruijie, Jiang Yan, Zhang Jingwen, Ye Lihong, Xiang Lin, Cui Jia, Tang Yuxiang, Gao Chao, Xiao Li, Yang Yuexin, Zhang Juan
Published 2022-07-06
Cite as Chin J Prev Med, 2022, 56(7): 952-959. DOI: 10.3760/cma.j.cn112150-20211102-01013
Abstract
ObjectiveTo investigate the preference for Front-of-Pack Labeling (FOP) and its association with the understanding of the Nutrition Facts Panel among Chinese residents.
MethodsA multi-stage sampling strategy was adopted to select 3 002 people aged between 18 and 70 years old from the eastern region of China (Beijing, Jiangsu Province, Guangdong Province), the northeast region (Heilongjiang Province), the central region (Henan Province) and the western region (Sichuan Province) from July 2020 to March 2021. Socio-demographic characteristics of participants and their understanding of the Nutrition Facts Panel and preference for FOP were collected. The χ² test was conducted to compare the preference for FOP in different groups of population, and multivariate logistic regression was used to analyze the association between the preference for FOP and the understanding of the Nutrition Facts Panel.
ResultsThe mean age of 3 002 participants was (42.3±13.4) years, of which 1 914 (63.8%) were females and 69.3% could not understand the Nutrition Facts Panel. About 2 458 respondents (81.9%) suggested that FOP could be promoted. The top three nutrients that should be labeled were sugar (68.4%), salt (68.2%) and total fat (62.4%). The number of participants who believed that the Multiple Traffic Lights (MTL) could be easier to help consumers to quickly choose healthy food, attract attention and provide the most needed information was 1 064 (35.4%), 1 026 (34.2%) and 1 140 (38.0%), respectively. The multivariate logistic regression analysis showed that, compared with the Guideline Daily Amount (GDA) system, participants who could not understand the Nutrition Facts Panel preferred (1) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could quickly help you choose food more easily?"[OR (95%CI): 2.21 (1.62-3.02), 1.64 (1.22-2.22), 1.79 (1.31-2.45), respectively]; (2) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could attract your attention the most?"[OR (95%CI): 2.62 (1.92-3.59), 1.96 (1.45-2.66), 2.25 (1.66-3.04), respectively]; and (3) Nutri-Score, Warning labels, and Health logos: Smart Choice in terms of"Which format of FOP could provide you with the most needed information?"[OR (95%CI): 2.33 (1.70-3.21), 2.21 (1.66-2.95), 2.01 (1.50-2.71), respectively].
ConclusionThe residents from six provinces in China have a supportive attitude towards FOP. The interpretive FOP with color information, specific nutrient information and summary indicator can be launched. The nutrition information of sugar, salt and total fat could be prioritized to be labeled on the FOP.
Key words:
Nutrition labelling; Nutritional ingredient; Front-of-pack labeling
Contributor Information
Hu Yiluan
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &
Peking Union Medical College, Beijing 100730, China
Yan Ruijie
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &
Peking Union Medical College, Beijing 100730, China
Jiang Yan
Chinese Nutrition Society, Beijing 100022, China
Zhang Jingwen
Shijiazhuang Municipal Bureau of Statistics, Shijiazhuang 050011, China
Ye Lihong
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &
Peking Union Medical College, Beijing 100730, China
Xiang Lin
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &
Peking Union Medical College, Beijing 100730, China
Cui Jia
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &
Peking Union Medical College, Beijing 100730, China
Tang Yuxiang
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &
Peking Union Medical College, Beijing 100730, China
Gao Chao
National Institute for Nutrition and Health Chinese Center for Disease Control and Prevention, Beijing 100050, China
Xiao Li
Chinese Center for Health Education, Beijing 100020, China
Yang Yuexin
National Institute for Nutrition and Health Chinese Center for Disease Control and Prevention, Beijing 100050, China
Zhang Juan
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences &
Peking Union Medical College, Beijing 100730, China