Evidence map›Paper›PMID 35081539›Full record

ArticleObesity facts2022

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

Shujuan Yang, Hui Chen, Jialong Wu, Bing Guo, Junmin Zhou, Changzheng Yuan, Peng Jia

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Article in Obesity facts, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shujuan YangWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Hui ChenCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Jialong WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Bing GuoWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Junmin ZhouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Changzheng YuanThe Children's Hospital and School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Peng JiaSchool of Resource and Environmental Sciences, Wuhan University, Wuhan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLimited 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.

methodsThe 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).

resultsWe 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.

conclusionThe 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.

Indexed as

COVID-19AdolescentChinaCommunicable Disease ControlFemaleHumansLife StyleMaleRetrospective StudiesCOVID-19Food orderingLockdownObesityYouth

Identifiers

PMID35081539
PMCPMC9021656

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.