Evidence map›Paper›PMID 34479184›Full record

ArticleJMIR public health and surveillance2021

Adoption of Preventive Measures During the Very Early Phase of the COVID-19 Outbreak in China: National Cross-sectional Survey Study.

Joseph Lau, Yanqiu Yu, Meiqi Xin, Rui She, Sitong Luo, Lijuan Li, Suhua Wang, Le Ma, Fangbiao Tao, Jianxin Zhang and 12 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2021. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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

22 authors.

Joseph LauCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0003-2344-7107
Yanqiu YuCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-7953-6320
Meiqi XinCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-8636-4918
Rui SheCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-8948-2792
Sitong LuoCentre for Health Behaviours Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, Hong Kong.ORCID 0000-0002-7450-5613
Lijuan LiSchool of Public Health, Dali University, Dali, China.ORCID 0000-0001-5665-5872
Suhua WangGraduated School of Baotou Medical College, Baotou Medical College, Baotou, China.ORCID 0000-0002-9664-6986
Le MaSchool of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China.ORCID 0000-0001-7592-9779
Fangbiao TaoDepartment of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China.ORCID 0000-0003-4807-9670
Jianxin ZhangSchool of Public Health, Sichuan University, Chengdu, China.ORCID 0000-0002-2568-2875
Junfeng ZhaoDepartment of Psychology, School of Education, Henan University, Kaifeng, China.ORCID 0000-0002-7171-5658
Dongsheng HuDepartment of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China.ORCID 0000-0002-3247-5786
Liping LiShantou University Medical College, Shantou, China.ORCID 0000-0003-3306-779X
Guohua ZhangDepartment of Psychology, School of Psychiatry, Wenzhou Medical University, Wenzhou, China.ORCID 0000-0003-2743-3167
Jing GuDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.ORCID 0000-0001-5436-2339
Danhua LinFaculty of Psychology, Beijing Normal University, Beijing, China.ORCID 0000-0003-3755-1730
Hongmei WangSchool of Public Health, Zhejiang University School of Medicine, Hangzhou, China.ORCID 0000-0002-7565-9040
Yong CaiSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0002-5706-7906
Zhaofen WangPublic Health Department, Qinghai University Medical College, Xining, China.ORCID 0000-0001-9406-2955
Hua YouDepartment of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, China.ORCID 0000-0001-6903-5058
Guoqing HuDepartment of Epidemiology of Health Statistics, Xiangya School of Public Health, Central South University, Changsha, China.ORCID 0000-0002-5002-8015
COVID-19 University Student Research Group *See Authors' Contributions, , .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outbreak of COVID-19 in China occurred around the Chinese New Year (January 25, 2020), and infections decreased continuously afterward. General adoption of preventive measures during the Chinese New Year period was crucial in driving the decline. It is imperative to investigate preventive behaviors among Chinese university students, who could have spread COVID-19 when travelling home during the Chinese New Year break.

objectiveIn this study, we investigated levels of COVID-19-related personal measures undertaken during the 7-day Chinese New Year holidays by university students in China, and associated COVID-19-related cognitive factors.

methodsA cross-sectional anonymous web-based survey was conducted during the period from February 1 to 10, 2020. Data from 23,863 students (from 26 universities, 16 cities, 13 provincial-level regions) about personal measures (frequent face-mask wearing, frequent handwashing, frequent home staying, and an indicator that combined the 3 behaviors) were analyzed (overall response rate 70%). Multilevel multiple logistic regression analysis was performed.

resultsOnly 28.0% of respondents (6684/23,863) had left home for >4 hours, and 49.3% (11,757/23,863) had never left home during the 7-day Chinese New Year period; 79.7% (19,026/23,863) always used face-masks in public areas. The frequency of handwashing with soap was relatively low (6424/23,863, 26.9% for >5 times/day); 72.4% (17,282/23,863) had frequently undertaken ≥2 of these 3 measures. COVID-19-related cognitive factors (perceptions on modes of transmission, permanent bodily damage, efficacy of personal or governmental preventive measures, nonavailability of vaccines and treatments) were significantly associated with preventive measures. Associations with frequent face-mask wearing were stronger than those with frequent home staying.

conclusionsUniversity students had strong behavioral responses during the very early phase of the COVID-19 outbreak. Levels of personal prevention, especially frequent home staying and face-mask wearing, were high. Health promotion may modify cognitive factors. Some structural factors (eg, social distancing policy) might explain why the frequency of home staying was higher than that of handwashing. Other populations might have behaved similarly; however, such data were not available to us.

Indexed as

ChinaCommunicable Disease ControlCOVID-19Cross-Sectional StudiesDisease OutbreaksFemaleHand DisinfectionHumansMaleMasksPhysical DistancingStudentsSurveys and QuestionnairesUniversitiesbehaviorChinacognitioncontrolCOVID-19cross-sectionalface maskhand hygienehealth behaviorinfectious diseaseinterpersonal contactspreventionprotectionpublic healthsurvey

Identifiers

PMID34479184
PMCPMC8500352

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Registered trials

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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.