Evidence map›Paper›PMID 39796577›Full record

ArticleNutrients2024

COVID-19 Implications on School Dietary Behavior in Chinese College Students: Based on the Longitudinal Assessment of Dietary Records from Intelligent Ordering System.

Shaojie Liu, Hong Peng, Dantong Gu, Mengyun Luo, Haihong Qian, Yingnan Jia

Abstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shaojie LiuSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, 130 Dong'an Road, Shanghai 200032, China.ORCID 0000-0002-8140-1185
Hong PengSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, 130 Dong'an Road, Shanghai 200032, China.
Dantong GuInstitute of Otolaryngology, Clinical Research Center, Eye and ENT Hospital, Fudan University, Shanghai 200031, China.
Mengyun LuoPrevention Research Collaboration, Sydney School of Public Health, The University of Sydney, Sydney, NSW 2006, Australia.
Haihong QianHealth Communication Institute, Fudan University, Shanghai 200032, China.
Yingnan JiaSchool of Public Health, Key Lab of Public Health Safety of the Ministry of Education, Fudan University, 130 Dong'an Road, Shanghai 200032, China.ORCID 0000-0001-9211-4061

Funding

the 6th Round Three-Year Initiative Plan for Strengthening Public Health System Construction in Shanghai GWVI-6
6 · The paper itself

Abstract

objectivesThe coronavirus disease 2019 (COVID-19) pandemic has changed the dietary behavior of college students; however, the persistence of the changes in dietary behavior remains uncertain. This study aims to explore the changes in school food consumption and dietary quality of college students during three distinct COVID-19 periods: pre-epidemic (stage T1), epidemic (stage T2), and post-COVID-19 epidemic (stage T3).

methodsThe persistent 6-year data, involving 3,484,081 dietary records from January 2018 to December 2023, for college students were acquired from the "Intelligent Ordering System (IOS)". School food consumption and total energy intake of each college student per day were evaluated by information on three meals in the IOS combined with the corresponding food database of each dish. The school dietary quality of college students was evaluated by the Chinese Healthy Eating Index (CHEI).

resultsIn total, 459 college students were included in the T1 period, 530 in the T2 period, and 1316 in the T3 period. At stages T2 and T3, the energy, protein, and fat intakes of college students were higher than those at stage T1 (

conclusionsThis study provides compelling evidence of the significantly negative impact of the COVID-19 pandemic on school food consumption and dietary quality among Chinese college students. However, the duration of this effect may be limited. There was a certain degree of improvement in the food consumption and school diet quality of college students in China following the conclusion of the epidemic.

Indexed as

COVID-19DietFeeding BehaviorStudentsAdolescentChinaDiet, HealthyDiet RecordsEnergy IntakeFemaleHumansLongitudinal StudiesMalePandemicsSARS-CoV-2Schoolscollege studentscoronavirus disease 2019dietary behaviorintelligent ordering system

Identifiers

PMID39796577
PMCPMC11722794

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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.