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Investigation on knowledge, attitudes and practices about food safety and nutrition in the China during the epidemic of corona virus disease 2019

Published online by Cambridge University Press:  16 July 2020

Yingyi Luo
Affiliation:
Shanghai University of Medicine & Health Sciences, 279 Zhouzhu Road, Pudong New Area, Shanghai, People’s Republic of China
Linjun Chen
Affiliation:
Shanghai University of Medicine & Health Sciences, 279 Zhouzhu Road, Pudong New Area, Shanghai, People’s Republic of China
Fei Xu
Affiliation:
Shanghai University of Medicine & Health Sciences, 279 Zhouzhu Road, Pudong New Area, Shanghai, People’s Republic of China
Xiaoxia Gao
Affiliation:
Shanghai University of Medicine & Health Sciences, 279 Zhouzhu Road, Pudong New Area, Shanghai, People’s Republic of China
Dan Han
Affiliation:
Shanghai University of Medicine & Health Sciences, 279 Zhouzhu Road, Pudong New Area, Shanghai, People’s Republic of China
Lixin Na*
Affiliation:
Shanghai University of Medicine & Health Sciences, 279 Zhouzhu Road, Pudong New Area, Shanghai, People’s Republic of China
*
*Corresponding author: Email nalixin2003@163.com
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Abstract

Objective:

To investigate the knowledge, attitudes and practices (K-A-P) about food safety and nutrition in Chinese adults who were recruited to the online survey during the epidemic of corona virus disease 2019 (COVID-19).

Design:

Participants were recruited by an online snowball sampling method. An electronic questionnaire was sent to our colleagues, students, friends, other professionals and their referrals helped us recruit more participants. The questionnaire included socio-demographic information, the attention paid to COVID-19, K-A-P about food safety and nutrition. Multiple and logistic regression analyses were used to explore related factors of K-A-P.

Subjects:

Totally, 2272 participants aged 24·09 ± 9·14 years, from twenty-seven provinces, autonomous districts or municipalities, with 18·3 % male and 83·4 % with a medical background.

Results:

The total possible knowledge score was 8·0, the average score was 5·2 ± 1·6 and 4·2 % obtained 8·0. The total possible attitudes score was 8·0, the average score was 6·5 ± 1·4 and 36·1 % obtained 8·0. The total possible food safety practices score was 5·0, the average score was 3·7 ± 1·0 and 20·7 % obtained 5·0. During this public emergency, 79·4 % participants changed diet habits, including increasing vegetables, fruit and water intake and reducing sugary drinks and snacks. Gender, age, educational and professional background, disease history, the attention paid to COVID-19 and related knowledge were associated with K-A-P.

Conclusion:

There was room for the improvement of K-A-P in participants during this public health emergency and further strengthening education about food safety and nutrition is needed. Findings indicate that education should address biased or misleading information and promote nutritious food choices and safe food practices.

Information

Type
Research paper
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of The Nutrition Society
Figure 0

Table 1 Basic characteristics of the participants (n 2272)

Figure 1

Fig. 1 Awareness rate of nutrition knowledge among the participants (n 2772)

Figure 2

Table 2 Multiple regression analysis on associated factors of nutritional knowledge score

Figure 3

Fig. 2 Food safety and nutrition attitudes v. option rate among the participants (n 2772)

Figure 4

Table 3 Multiple regression analysis of associated factors of food safety and nutrition attitudes score

Figure 5

Table 4 Multiple regression analysis of associated factors of food safety practices score

Figure 6

Fig. 3 The top ten food categories with increased intakes by the participants and reasons provided. Left: , The top ten food categories with decreased intakes by participants. Right: , restricted food materials by COVID-19; active change to prevent COVID-19

Figure 7

Fig. 4 The top ten food categories with decreased intakes by the participants and reasons provided. Left: , The top ten food categories with increased intakes by participants. Right: , restricted food materials by COVID-19; active change to prevent COVID-19

Figure 8

Table 5 Logistic regression analysis of associated factors of food change score