ArticleInternational journal of environmental research and public health2020
The Recommended and Excessive Preventive Behaviors during the COVID-19 Pandemic: A Community-Based Online Survey in China.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 31 citations in OpenAlex.
- Knowledge and behaviors of prevention of COVID-19 and the related factors in the rural population referred to the health centers: a cross-sectional study.BMC nursing · 2023Article
- Protective and Overprotective Behaviors against COVID-19 Outbreak: Media Impact and Mediating Roles of Institutional Trust and Anxiety.International journal of environmental research and public health · 2023Article
- Effects of negative emotions and information perceived value on residents' risk perception during the COVID-19 pandemic: An empirical survey from China.Frontiers in public health · 2023Article
- Machine-learning approaches to identify determining factors of happiness during the COVID-19 pandemic: retrospective cohort study.BMJ open · 2022Observational
- What drives people's protective behaviors during the early stage of the COVID-19 pandemic in China.Frontiers in psychology · 2022Article
- The role of online news and social media in preventive action in times of infodemic from a social capital perspective: The case of the COVID-19 pandemic in South Korea.Telematics and informatics · 2021Article
- Analysis of efficacy of intervention strategies for COVID-19 transmission: A case study of Hong Kong.Environment international · 2021Article
- Identify and measure the degree of over-prevention behaviors in the post-COVID-19 era in China.BMC public health · 2021Article
- Preventive behaviours and family inequalities during the COVID-19 pandemic: a cross-sectional study in China.Infectious diseases of poverty · 2021Article
- Influencing Factors of Psychosocial Stress among Korean Adults during the COVID-19 Outbreak.International journal of environmental research and public health · 2021Article
- Factors Influencing Depression and Mental Distress Related to COVID-19 Among University Students in China: Online Cross-sectional Mediation Study.JMIR mental health · 2021Article
- Cross-Cultural Validation of a New Version in Spanish of Four Items of theFrontiers in psychology · 2021Article
- Disease Prevention Behavior During the COVID-19 Pandemic and the Role of Self-Esteem: An Extended Parallel Process Model.Psychology research and behavior management · 2021Article
- Knowledge, Attitude, and Preventive Practices Towards COVID-19 Among Students of Ethiopian Higher Education Institutions.Journal of multidisciplinary healthcare · 2021Article
- Trends and Factors Associated With Risk Perception, Anxiety, and Behavior From the Early Outbreak Period to the Controlled Period of COVID-19 Epidemic: Four Cross-Sectional Online Surveys in China in 2020.Frontiers in public health · 2021Article
- The relationship between government trust and preventive behaviors during the COVID-19 pandemic in China: Exploring the roles of knowledge and negative emotion.Preventive medicine · 2020Article
- Perceived psychosocial health and its sociodemographic correlates in times of the COVID-19 pandemic: a community-based online study in China.Infectious diseases of poverty · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
COVID-19 presents unprecedented challenges to the global public health response. Preventive behaviors and keeping social distance are regarded as compelling ways to prevent COVID-19. This study focused on the sociological and psychological factors associated with proper and excessive preventive behaviors of the COVID-19 outbreak in China. For the sample, we collected the data of 4788 participants who were surveyed between 4 April and 15 April 2020 from eight provinces in China. This study designed a self-filled questionnaire that included demographic information, six components of the Health Belief Model, and target preventive behaviors. Descriptive analysis, Chi-square test, logistic regression analysis, Mantel-Haenszel hierarchical analysis, and propensity score matching were employed in this study. The results showed that 54.7% of the participants had adequate basic prevention, 63.6% of the participants had adequate advanced prevention, and 5.8% of the participants practiced excessive prevention. The elder participants were less likely to engage in proper preventive behaviors. Perceived susceptibility, perceived benefits, perceived barriers, cues to action, and knowledge levels were associated with preventive behaviors. Excessive preventive behaviors in high-risk groups with suspected symptoms were associated with their extreme psychological condition, while the support from the community and family plays an important role in avoiding these behaviors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.