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运用偏最小二乘法结构方程模型(PLS-SEM),通过精细可能性模型(ELM)和社会认知理论(SCT)因素对使用健康相关微信公众号的行为意向进行建模。

Modeling behavioral intention of using health-related WeChat official accounts through ELM and SCT factors using the PLS-SEM approach.

作者信息

Zhang Xin, Tang Qingqing, Li Shuhui

机构信息

Department of Communication, Faculty of Modern Languages and Communication, Universiti Putra Malaysia, Serdang, 43400 UPM, Selangor, Malaysia.

出版信息

Sci Rep. 2025 Jul 28;15(1):27475. doi: 10.1038/s41598-025-12138-9.

DOI:10.1038/s41598-025-12138-9
PMID:40721624
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12304147/
Abstract

Health-related WeChat Official Accounts are widely used in China. However, limited research has explored how cognitive processing and psychological beliefs influence user behavior on these platforms. Previous studies have rarely examined the cognitive and psychological mechanisms that underlie users' behavioral intention in this context. To address this gap, this study proposes a psychologically grounded dual-pathway model that integrates the Elaboration Likelihood Model (ELM) and Social Cognitive Theory (SCT) to explain how individual information processing and self-efficacy jointly shape user behavioral intention. Data were collected through an online survey (n = 434) conducted from April 11 to May 9, 2024. PLS-SEM was applied using SmartPLS 4.1. The results show that both central and peripheral processing routes significantly influence self-efficacy, which in turn mediates their effects on behavioral intention. Gender moderates the peripheral pathway, with female users more responsive to credibility cues. However, user experience did not have a significant moderating effect. This study extends the application of ELM and SCT in digital health communication by clarifying how different processing routes influence user behavior via self-efficacy. It offers practical insights for healthcare institutions, government health departments, and nonprofit organizations seeking to improve user engagement and satisfaction with WOAs.

摘要

与健康相关的微信公众号在中国被广泛使用。然而,仅有有限的研究探讨了认知加工和心理信念如何影响这些平台上的用户行为。以往的研究很少考察在这种背景下用户行为意图背后的认知和心理机制。为了填补这一空白,本研究提出了一个基于心理学的双路径模型,该模型整合了精细加工可能性模型(ELM)和社会认知理论(SCT),以解释个体信息加工和自我效能如何共同塑造用户的行为意图。数据通过2024年4月11日至5月9日进行的在线调查(n = 434)收集。使用SmartPLS 4.1应用偏最小二乘结构方程模型(PLS-SEM)。结果表明,中央和边缘加工路径均显著影响自我效能,而自我效能又在它们对行为意图的影响中起中介作用。性别调节边缘路径,女性用户对可信度线索的反应更敏感。然而,用户体验并没有显著的调节作用。本研究通过阐明不同的加工路径如何通过自我效能影响用户行为,扩展了ELM和SCT在数字健康传播中的应用。它为寻求提高用户对微信公众号的参与度和满意度的医疗机构、政府卫生部门和非营利组织提供了实用的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f3/12304147/93c6503f7a51/41598_2025_12138_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f3/12304147/a026683b8f42/41598_2025_12138_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f3/12304147/93c6503f7a51/41598_2025_12138_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f3/12304147/a026683b8f42/41598_2025_12138_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30f3/12304147/93c6503f7a51/41598_2025_12138_Fig2_HTML.jpg

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本文引用的文献

1
[Factors influencing the continued intention to use health science popularization WeChat accounts among university students in Chengdu in 2023].[2023年成都市大学生持续使用健康科普微信公众号的影响因素]
Wei Sheng Yan Jiu. 2024 Nov;53(6):975-981. doi: 10.19813/j.cnki.weishengyanjiu.2024.06.020.
2
Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM.影响女性健康微信公众号持续使用意愿的因素:UTAUT2 和 HBM 的综合模型。
Front Public Health. 2024 Jun 20;12:1348673. doi: 10.3389/fpubh.2024.1348673. eCollection 2024.
3
Strategies for Assessing Health Information Credibility Among Older Social Media Users in China: A Qualitative Study.
评估中国老年社交媒体用户健康信息可信度的策略:一项定性研究。
Health Commun. 2024 Nov;39(12):2767-2778. doi: 10.1080/10410236.2023.2288372. Epub 2023 Nov 28.
4
Factors Affecting Users' Continuous Usage in Online Health Communities: An Integrated Framework of SCT and TPB.影响用户在在线健康社区持续使用的因素:社会认知理论与计划行为理论的整合框架
Healthcare (Basel). 2023 Apr 26;11(9):1238. doi: 10.3390/healthcare11091238.
5
Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic.中国省级疾控中心微信公众号文章特征对 COVID-19 大流行期间用户参与度的影响。
J Glob Health. 2023 Apr 14;13:06005. doi: 10.7189/jogh.13.06005.
6
"I Do Not Trust Health Information Shared by My Parents": Credibility Judgement of Health (Mis)information on Social Media in China.“我不信任父母分享的健康信息”:社交媒体上健康(错误)信息在中国的可信度判断。
Health Commun. 2024 Apr;39(1):96-106. doi: 10.1080/10410236.2022.2159143. Epub 2022 Dec 22.
7
How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China.官方社交媒体如何影响中国 COVID-19 第一波疫情期间成年人中的信息疫情。
Int J Environ Res Public Health. 2022 May 31;19(11):6751. doi: 10.3390/ijerph19116751.
8
Middle-aged and elderly users' continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China.中老年用户对健康维护型微信公众号的持续使用意愿:基于中国混合模型的实证研究。
BMC Med Inform Decis Mak. 2021 Sep 3;21(1):257. doi: 10.1186/s12911-021-01625-4.
9
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Healthcare (Basel). 2021 Jun 18;9(6):751. doi: 10.3390/healthcare9060751.
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Health Information Seeking Behaviors on Social Media During the COVID-19 Pandemic Among American Social Networking Site Users: Survey Study.新冠疫情期间美国社交网站用户在社交媒体上的健康信息搜索行为:调查研究
J Med Internet Res. 2021 Jun 11;23(6):e29802. doi: 10.2196/29802.