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利用综合社会认知模型识别 COVID-19 大流行期间 QR 码签到合规行为的决定因素。

Using an integrated social cognition model to identify the determinants of QR code check-in compliance behaviors in the COVID-19 pandemic.

机构信息

Griffith University, Australia.

University of Jyväskylä, Finland.

出版信息

J Health Psychol. 2024 May;29(6):495-509. doi: 10.1177/13591053231209880. Epub 2023 Nov 8.

DOI:10.1177/13591053231209880
PMID:37937451
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11075410/
Abstract

In Australia, checking in while entering venues was a legal requirement during the COVID-19 pandemic to track potential infection sites. This two-wave correlational study used an integrated theory of planned behavior model including moral norms, anticipated regret, and habit to predict check-in compliance in a sample of 181 Victorians (Mean Age = 41.88, 56.4% female) and 162 Queenslanders (Mean Age = 43.26, 47.5% female). Habit and intention predicted behavior, while perceived behavioral control did not. Intention was predicted by baseline habit, attitude, subjective norm, and moral norm in the Victorian sample, while only baseline habit and moral norm predicted intention in the Queensland sample. This study has potential implications for reviewing previous strategies and for future pandemic preparedness, both by identifying the drivers of infection control compliance, and through the discussion of how differences in effects between states may be linked to each state's experience of the pandemic (e.g. infection rates, lockdown length).

摘要

在澳大利亚,新冠疫情期间,进入场馆时登记是一项法律要求,以追踪潜在的感染地点。本项两波相关研究使用计划行为理论整合模型,包括道德规范、预期后悔和习惯,以预测维多利亚州 181 名(平均年龄=41.88,56.4%为女性)和昆士兰州 162 名(平均年龄=43.26,47.5%为女性)参与者的登记合规性。习惯和意图预测行为,而感知行为控制则不预测行为。在维多利亚州样本中,意图由基线习惯、态度、主观规范和道德规范预测,而在昆士兰州样本中,仅基线习惯和道德规范预测意图。本研究对审查先前的策略和未来的大流行准备具有潜在意义,既可以确定感染控制合规性的驱动因素,也可以讨论各州之间的影响差异如何与各州的大流行经历(例如感染率、封锁时间)相关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fe4/11075410/2173b6cc0ef2/10.1177_13591053231209880-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fe4/11075410/2173b6cc0ef2/10.1177_13591053231209880-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fe4/11075410/2173b6cc0ef2/10.1177_13591053231209880-fig1.jpg

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