Literature DB >> 35081539

Impacts of COVID-19 Lockdown on Food Ordering Patterns among Youths in China: The COVID-19 Impact on Lifestyle Change Survey.

Shujuan Yang1,2, Hui Chen3,4, Jialong Wu1, Bing Guo1, Junmin Zhou1, Changzheng Yuan4, Peng Jia5,2.   

Abstract

INTRODUCTION: Limited studies have focused on how the COVID-19 outbreak and thereby lockdown had affected the youth's food ordering patterns, which was associated with their dietary behaviors and could have longer term impacts on their later-life health status if the trend persists. This study aimed to evaluate changes in food ordering patterns among youths in China after the COVID-19 outbreak.
METHODS: The data were obtained from a national retrospective survey (COINLICS) conducted in early May 2020 via social media platforms in China among more than 10,000 youth participants at 3 educational levels. Participants reported their basic sociodemographic characteristics, weight status, and lifestyles including food ordering patterns. We described and compared their weight status and food ordering patterns before COVID-19 (January) and under lockdown (February).
RESULTS: We observed significant changes in youths' weight status and food ordering patterns under lockdown. A significant increase was observed in the prevalence of overweight/obesity (13.5%-17.0%) and obesity (8.7-10.8%), which varied by sex and educational level. Overall, the average weekly frequency of food ordering among the Chinese students had declined, with the largest decrease seen among graduate students, followed by undergraduate and high/vocational school students. Regardless of types of food, the percentage of participating youths who started ordering under lockdown was all lower than that of youths who stopped ordering. Among those who had still ordered foods under lockdown, a larger percentage of female than male high/vocational school students ordered barbecue/grill and cakes/pastries; no significant differences were found across the educational levels.
CONCLUSION: The participating youths' food ordering patterns had significantly changed during the COVID-19 lockdown, with heterogeneities observed to different extents between sexes and across educational levels. Our findings would inform policy makers and health professionals of these changes in time, for better policy making and public health practice.
© 2022 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  COVID-19; Food ordering; Lockdown; Obesity; Youth

Mesh:

Year:  2022        PMID: 35081539      PMCID: PMC9021656          DOI: 10.1159/000520160

Source DB:  PubMed          Journal:  Obes Facts        ISSN: 1662-4025            Impact factor:   4.807


  27 in total

1.  Takeaway food consumption and cardio-metabolic risk factors in young adults.

Authors:  K J Smith; L Blizzard; S A McNaughton; S L Gall; T Dwyer; A J Venn
Journal:  Eur J Clin Nutr       Date:  2011-12-07       Impact factor: 4.016

2.  Dietary patterns and self-reported associations of diet with symptoms of inflammatory bowel disease.

Authors:  Aaron B Cohen; Dale Lee; Millie D Long; Michael D Kappelman; Christopher F Martin; Robert S Sandler; James D Lewis
Journal:  Dig Dis Sci       Date:  2012-08-26       Impact factor: 3.199

3.  Frequency of takeaway food consumption and its association with major food group consumption, anthropometric measures and blood pressure during adolescence.

Authors:  Bamini Gopinath; Victoria M Flood; George Burlutsky; Jimmy C Y Louie; Louise A Baur; Paul Mitchell
Journal:  Br J Nutr       Date:  2016-06       Impact factor: 3.718

4.  Food Delivery Service During Social Distancing: Proactively Preventing or Potentially Spreading Coronavirus Disease-2019?

Authors:  Trang H D Nguyen; Danh C Vu
Journal:  Disaster Med Public Health Prep       Date:  2020-05-05       Impact factor: 1.385

5.  Association between Take-Out Food Consumption and Obesity among Chinese University Students: A Cross-Sectional Study.

Authors:  Yuhe Jiang; Junbo Wang; Shaowei Wu; Nan Li; Yiming Wang; Jiarui Liu; Xinran Xu; Zonghan He; Yawen Cheng; Xueqing Zeng; Bingwei Wang; Chenyu Zhang; Miao Zhao; Zhijie Su; Bingbing Guo; Wenzhong Yang; Ruimao Zheng
Journal:  Int J Environ Res Public Health       Date:  2019-03-25       Impact factor: 3.390

6.  How will country-based mitigation measures influence the course of the COVID-19 epidemic?

Authors:  Roy M Anderson; Hans Heesterbeek; Don Klinkenberg; T Déirdre Hollingsworth
Journal:  Lancet       Date:  2020-03-09       Impact factor: 79.321

7.  COVID-19: How the Quarantine could lead to the Depreobesity.

Authors:  Mohamed Mediouni; Riadh Madiouni; Karolina Elżbieta Kaczor-Urbanowicz
Journal:  Obes Med       Date:  2020-05-15

8.  Eating behavior and food purchases during the COVID-19 lockdown: A cross-sectional study among adults in the Netherlands.

Authors:  Maartje P Poelman; Marleen Gillebaart; Caroline Schlinkert; S Coosje Dijkstra; Elianne Derksen; Frederike Mensink; Roel C J Hermans; Pleun Aardening; Denise de Ridder; Emely de Vet
Journal:  Appetite       Date:  2020-10-14       Impact factor: 3.868

9.  The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.

Authors:  Matteo Chinazzi; Jessica T Davis; Marco Ajelli; Corrado Gioannini; Maria Litvinova; Stefano Merler; Ana Pastore Y Piontti; Kunpeng Mu; Luca Rossi; Kaiyuan Sun; Cécile Viboud; Xinyue Xiong; Hongjie Yu; M Elizabeth Halloran; Ira M Longini; Alessandro Vespignani
Journal:  Science       Date:  2020-03-06       Impact factor: 47.728

10.  Online alcohol delivery is associated with heavier drinking during the first New Zealand COVID-19 pandemic restrictions.

Authors:  Taisia Huckle; Karl Parker; Jose S Romeo; Sally Casswell
Journal:  Drug Alcohol Rev       Date:  2020-11-30
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