Evidence map›Paper›PMID 38347928›Full record

ArticleFrontiers in public health2024

Level and factors of support for the Living with the Virus policy in a Chinese adult general population: a mediation analysis via positive and negative attitudes toward the policy.

Joseph T F Lau, Joyce Hoi-Yuk Ng, Robin Goodwin, Tarandeep S Kang, Vivian W I Fong, Mason M C Lau, Yanqiu Yu

Abstract read
In one paragraph

Article in Frontiers in public health, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Joseph T F LauPublic Mental Health Center, School of Mental Health, Wenzhou Medical University, Wenzhou, China.
Joyce Hoi-Yuk NgCenter for Health Behaviors Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Robin GoodwinDepartment of Psychology, University of Warwick, Coventry, United Kingdom.
Tarandeep S KangDepartment of Psychology, University of Warwick, Coventry, United Kingdom.
Vivian W I FongCenter for Health Behaviors Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Mason M C LauCenter for Health Behaviors Research, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong SAR, China.
Yanqiu YuDepartment of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study investigated the public's support for the Living with the Virus (LWV) policy, its associated factors, and related mediations at a time when more countries were considering adopting the LWV policy amid the COVID-19 pandemic. Methods: A random, population-based telephone survey was conducted among 500 Chinese adults in Hong Kong during March/April 2022. Results: 39.6% of the participants were supportive/strongly supportive of the LWV policy. Perceived efficacy of the control measures was negatively associated with the support and was partially mediated via the perception that the policy would greatly improve the economy/daily life of the policy. Perceived physical harms of the Omicron variant was negatively associated with the support and was fully mediated via perceived negative impacts of the policy. 26.2%/54.6% believed that the policy would improve the economy/daily life greatly; about 40% perceived negative impacts on deaths and the medical system due to the policy. COVID-19 ever infection did not significantly moderate the studied associations. Conclusion: The public was split regarding the support for the LWV policy and whether it would cause better economy/daily life, unnecessary deaths, and the collapse of the medical system. Health communication is needed in shifting toward the LWV policy.

Indexed as

Attitude to HealthCOVID-19Health PolicyAdultEast Asian PeopleHong KongHumansMediation AnalysisPandemicscognitionCOVID-19Living with the Viruspolicy supportpublic attitude

Identifiers

PMID38347928
PMCPMC10860402

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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.