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微信促进健康:是什么促使老年人参与健康信息活动。

WeChatting for Health: What Motivates Older Adult Engagement with Health Information.

作者信息

Zhang Xiaoxiao, Xu Xiaoge, Cheng Jiang

机构信息

School of International Communication, Faculty of Humanities and Science, The University of Nottingham, Ningbo 315100, China.

The Institute of Mobile Studies, The University of Nottingham, Ningbo 315100, China.

出版信息

Healthcare (Basel). 2021 Jun 18;9(6):751. doi: 10.3390/healthcare9060751.

Abstract

Although WeChat has become increasingly popular among Chinese elderly people as a tool to engage with health information, little research has examined their motivations for health purposes and their engagement with health information on the site. By applying the two-stage Use and gratification (U&G) approach, we first conducted in-depth interviews ( = 20) to explore older adults' distinctive motives. Based on the 22 motives found in the qualitative research, we developed a questionnaire for an online survey ( = 690) to further investigate how these motives affect older adults' engagement with health information on WeChat. As the result, six motive typologies were identified: information needs, social support, surveillance, social interaction, self-agency building, and technological convenience. Together, these six types of motivations jointly account for 59.9% of the variance in older adults' engagement with health information (M = 2.71, SD = 0.79, adjusted = 0.59, < 0.001). Social support and information needs were significant predictors, suggesting that the older WeChat users' active engagement is driven by personal instrumental gratification. This study examines the explanation power of U&G theory in a health context, as well as provides the practical implication for leveraging mobile social media to improve older people's healthcare management.

摘要

尽管微信作为获取健康信息的工具在中国老年人中越来越受欢迎,但很少有研究探讨他们出于健康目的使用微信的动机以及他们与微信上健康信息的互动情况。通过应用两阶段的使用与满足(U&G)方法,我们首先进行了深度访谈(n = 20)以探究老年人独特的动机。基于定性研究中发现的22种动机,我们编制了一份用于在线调查的问卷(n = 690),以进一步研究这些动机如何影响老年人与微信上健康信息的互动。结果,识别出六种动机类型:信息需求、社会支持、监督、社交互动、自我能动性构建和技术便利性。这六种动机类型共同解释了老年人与健康信息互动差异的59.9%(M = 2.71,SD = 0.79,调整后R² = 0.59,p < 0.oooo1)。社会支持和信息需求是显著的预测因素,表明老年微信用户的积极参与是由个人工具性满足所驱动的。本研究检验了U&G理论在健康背景下的解释力,并为利用移动社交媒体改善老年人的医疗管理提供了实际意义。

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本文引用的文献

2
Current status of official WeChat accounts for public health education.
J Public Health (Oxf). 2021 Sep 22;43(3):618-624. doi: 10.1093/pubmed/fdz163.
3
Information-Sharing Behavior on WeChat Moments: The Role of Anonymity, Familiarity, and Intrinsic Motivation.
Front Psychol. 2019 Nov 14;10:2540. doi: 10.3389/fpsyg.2019.02540. eCollection 2019.
4
Exploring Health Information Sharing Behavior Among Chinese Older Adults: A Social Support Perspective.
Health Commun. 2019 Dec;34(14):1824-1832. doi: 10.1080/10410236.2018.1536950. Epub 2018 Oct 26.
5
WeChatting for Health: An Examination of the Relationship between Motivations and Active Engagement.
Health Commun. 2019 Dec;34(14):1764-1774. doi: 10.1080/10410236.2018.1536942. Epub 2018 Oct 25.
6
How the public uses social media wechat to obtain health information in china: a survey study.
BMC Med Inform Decis Mak. 2017 Jul 5;17(Suppl 2):66. doi: 10.1186/s12911-017-0470-0.
7
Please Like Me: Facebook and Public Health Communication.
PLoS One. 2016 Sep 15;11(9):e0162765. doi: 10.1371/journal.pone.0162765. eCollection 2016.
9
Facebook as a platform for health information and communication: a case study of a diabetes group.
J Med Syst. 2013 Jun;37(3):9942. doi: 10.1007/s10916-013-9942-7. Epub 2013 Apr 16.

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