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本文引用的文献

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N Engl J Med. 2022 Jun 30;386(26):2531-2532. doi: 10.1056/NEJMc2204560. Epub 2022 Jun 15.
2
Exposure Effects or Confirmation Bias? Examining Reciprocal Dynamics of Misinformation, Misperceptions, and Attitudes Toward COVID-19 Vaccines.暴露效应还是确认偏差?检验新冠病毒疫苗错误信息、误解和态度的相互作用。
Health Commun. 2023 Oct;38(10):2210-2220. doi: 10.1080/10410236.2022.2059802. Epub 2022 Apr 12.
3
Vaccine misinformation types and properties in Russian troll tweets.俄罗斯网络水军发布的疫苗虚假信息的类型和特征。
Vaccine. 2022 Feb 7;40(6):953-960. doi: 10.1016/j.vaccine.2021.12.040. Epub 2022 Jan 13.
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Interventions to Mitigate COVID-19 Misinformation: A Systematic Review and Meta-Analysis.缓解 COVID-19 错误信息的干预措施:系统评价和荟萃分析。
J Health Commun. 2021 Dec 2;26(12):846-857. doi: 10.1080/10810730.2021.2021460. Epub 2022 Jan 9.
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Acceptance of a Covid-19 vaccine is associated with ability to detect fake news and health literacy.对新冠疫苗的接受程度与发现假新闻的能力和健康素养有关。
J Public Health (Oxf). 2021 Dec 10;43(4):695-702. doi: 10.1093/pubmed/fdab028.
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Social media and vaccine hesitancy.社交媒体与疫苗犹豫
BMJ Glob Health. 2020 Oct;5(10). doi: 10.1136/bmjgh-2020-004206. Epub 2020 Oct 23.
7
Where We Go From Here: Health Misinformation on Social Media.我们从何而来:社交媒体上的健康错误信息。
Am J Public Health. 2020 Oct;110(S3):S273-S275. doi: 10.2105/AJPH.2020.305905.
8
Evaluating the Impact of Attempts to Correct Health Misinformation on Social Media: A Meta-Analysis.评估社交媒体纠正健康错误信息尝试的影响:一项荟萃分析。
Health Commun. 2021 Nov;36(13):1776-1784. doi: 10.1080/10410236.2020.1794553. Epub 2020 Aug 6.
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Social media and vaccine hesitancy: new updates for the era of COVID-19 and globalized infectious diseases.社交媒体与疫苗犹豫:COVID-19 与全球化传染病时代的新动向。
Hum Vaccin Immunother. 2020 Nov 1;16(11):2586-2593. doi: 10.1080/21645515.2020.1780846. Epub 2020 Jul 21.
10
How Do Older Adults Recruited Using MTurk Differ From Those in a National Probability Sample?使用 MTurk 招募的老年人与全国概率样本中的老年人有何不同?
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了解替代健康社交媒体群组中的成员身份及其与新冠病毒和流感疫苗接种的关联:基于网络的横断面调查

Understanding Membership in Alternative Health Social Media Groups and Its Association with COVID-19 and Influenza Vaccination: Web-Based Cross-Sectional Survey.

作者信息

Na Kilhoe, Zimdars Melissa, Cullinan Megan E

机构信息

Department of Communication and Media, Merrimack College, North Andover, MA, United States.

Department of Communication Studies, University of Montana, Missoula, MT, United States.

出版信息

JMIR Form Res. 2024 Dec 5;8:e54092. doi: 10.2196/54092.

DOI:10.2196/54092
PMID:39636665
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11659688/
Abstract

BACKGROUND

Social media platforms have become home to numerous alternative health groups where people share health information and scientifically unproven treatments. Individuals share not only health information but also health misinformation in alternative health groups on social media. Yet, little research has been carried out to understand members of these groups. This study aims to better understand various characteristics of members in alternative health groups and the association between membership and attitudes toward vaccination and COVID-19 and influenza vaccination-related behaviors.

OBJECTIVE

This study aims to test hypotheses about different potential characteristics of members in alternative health groups and the association between membership and attitudes toward vaccination and vaccine-related behaviors.

METHODS

A web-based cross-sectional survey (N=1050) was conducted. Participants were recruited from 19 alternative health social media groups and Amazon's Mechanical Turk. A total of 596 participants were members of alternative health groups and 454 were nonmembers of alternative health groups. Logistic regressions were performed to test the hypotheses about the relationship between membership and the variables of interest.

RESULTS

Logistic regression revealed that there is a positive association between alternative health social media group membership and 3 personal characteristics: sharing trait (B=.83, SE=.11; P<.01; odds ratio [OR] 2.30, 95% CI 1.85-2.86), fear of negative evaluations (B=.19, SE=.06; P<.001, OR 1.21, 95% CI 1.06-1.37), and conspiratorial mentality (B=.33, SE=.08; P<.01; OR 1.40, 95% CI 1.18-1.65). Also, the results indicate that there is a negative association between membership and 2 characteristics: health literacy (B=-1.09, SE=.17; P<.001; OR .33, 95% CI 0.23-0.47) and attitudes toward vaccination (B=- 2.33, SE=.09; P=.02; OR 0.79, 95% CI 0.65-0.95). However, there is no association between membership and health consciousness (B=.12, SE=.10; P=.24; OR 1.13, 95% CI 0.92-1.38). Finally, membership is negatively associated with COVID-19 vaccination status (B=-.84, SE=.17; P<.001; OR 48, 95% CI 0.32-0.62), and influenza vaccination practice (B=-1.14, SE=.17; P<.001; OR .31, 95% CI 0.22-0.45).

CONCLUSIONS

Our findings indicate that people joining alternative health social media groups differ from nonmembers in different aspects, such as sharing, fear of negative evaluations, conspiratorial mentality, and health literacy. They also suggest that there is a significant relationship between membership and vaccination. By more thoroughly exploring the demographic, or by better understanding the people for whom interventions are designed, this study is expected to help researchers to more strategically and effectively develop and implement interventions.

摘要

背景

社交媒体平台已成为众多替代健康群体的聚集地,人们在这些群体中分享健康信息和未经科学证实的治疗方法。在社交媒体上的替代健康群体中,个人不仅分享健康信息,还分享健康错误信息。然而,针对这些群体成员的研究却很少。本研究旨在更好地了解替代健康群体成员的各种特征,以及群体成员身份与对疫苗接种的态度、与新冠病毒和流感疫苗接种相关行为之间的关联。

目的

本研究旨在验证关于替代健康群体成员不同潜在特征,以及群体成员身份与对疫苗接种的态度和疫苗相关行为之间关联的假设。

方法

开展了一项基于网络的横断面调查(N = 1050)。参与者从19个替代健康社交媒体群组和亚马逊的Mechanical Turk招募。共有596名参与者是替代健康群体的成员,454名是非替代健康群体的成员。进行逻辑回归以检验关于群体成员身份与感兴趣变量之间关系的假设。

结果

逻辑回归显示,替代健康社交媒体群组成员身份与3个人特征之间存在正相关:分享特质(B = 0.83,标准误 = 0.11;P <.01;优势比[OR] 2.30,95%置信区间1.85 - 2.86)、对负面评价的恐惧(B = 0.19,标准误 = 0.06;P <.001,OR 1.21,95%置信区间1.06 - 1.37)以及阴谋心态(B = 0.33,标准误 = 0.08;P <.01;OR 1.40,95%置信区间1.18 - 1.65)。此外,结果表明群体成员身份与2个特征之间存在负相关:健康素养(B = -1.09,标准误 = 0.17;P <.001;OR 0.33,95%置信区间0.23 - 0.47)和对疫苗接种的态度(B = -2.33,标准误 = 0.09;P = 0.02;OR 0.79,95%置信区间0.65 - 0.95)。然而,群体成员身份与健康意识之间没有关联(B = 0.12,标准误 = 0.10;P = 0.24;OR 1.13,95%置信区间0.92 - 1.38)。最后,群体成员身份与新冠病毒疫苗接种状况呈负相关(B = -0.84,标准误 = 0.17;P <.001;OR 0.48,95%置信区间0.32 - 0.62),与流感疫苗接种行为也呈负相关(B = -1.14,标准误 = 0.17;P <.001;OR 0.31,95%置信区间0.22 - 0.45)。

结论

我们的研究结果表明,加入替代健康社交媒体群组的人与非成员在不同方面存在差异,如分享、对负面评价的恐惧、阴谋心态和健康素养。研究结果还表明,群体成员身份与疫苗接种之间存在显著关系。通过更全面地探索人口统计学特征,或更好地了解干预措施所针对的人群,本研究有望帮助研究人员更具策略性和有效地制定和实施干预措施。