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慢性疼痛中的脑雾:社交媒体帖子话语分析的方案。

Brain fog in chronic pain: Protocol for a discourse analysis of social media postings.

机构信息

Rehabilitation Sciences, McMaster University, Hamilton, Ontario, Canada.

出版信息

PLoS One. 2024 May 8;19(5):e0302443. doi: 10.1371/journal.pone.0302443. eCollection 2024.

DOI:10.1371/journal.pone.0302443
PMID:38718019
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11078377/
Abstract

Brain fog is a phenomenon that is frequently reported by persons with chronic pain. Difficulties with cognition including memory impairments, attentional issues, and cloudiness are commonly described. The current medical literature demonstrates a similar cloudiness: there is no clear taxonomy or nomenclature, no well-validated evaluations and a dearth of effective interventions. To focus our understanding of this complex phenomenon, we will perform a discourse analysis to explore how brain fog is described in public posts on social media. Discursive methodology will generate insights regarding the societal understanding and meanings attributed to brain fog, by sampling perspectives of persons with lived experience, currently underrepresented in the medical literature. It is anticipated that the results of the proposed study will 1) help healthcare professionals better understand the experience of chronic pain-related brain fog and 2) generate hypotheses for future research. To conclude, by incorporating innovative and contemporary methods, this proposed discourse analysis of social media sources will generate nuanced insights, bridging the gap between researchers, health care providers, and persons with lived experience.

摘要

脑雾是慢性疼痛患者经常报告的一种现象。常描述认知困难,包括记忆障碍、注意力问题和思维模糊。目前的医学文献也存在类似的模糊性:没有明确的分类或命名法,没有经过充分验证的评估方法,也缺乏有效的干预措施。为了深入了解这种复杂现象,我们将进行话语分析,以探讨脑雾在社交媒体上的公开帖子中是如何描述的。话语方法将通过抽样具有生活体验的人的观点来产生关于脑雾的社会理解和归因意义的见解,而这些人在医学文献中目前代表性不足。预计拟议研究的结果将 1)帮助医疗保健专业人员更好地理解与慢性疼痛相关的脑雾的体验,2)为未来的研究提出假设。总之,通过采用创新和现代方法,对社交媒体来源的这种话语分析将产生细微的见解,弥合研究人员、医疗保健提供者和具有生活体验的人之间的差距。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cff5/11078377/46917ad8dcd6/pone.0302443.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cff5/11078377/46917ad8dcd6/pone.0302443.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cff5/11078377/46917ad8dcd6/pone.0302443.g001.jpg

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本文引用的文献

1
Understanding the Experience and Impacts of Brain Fog in Chronic Pain: A Scoping Review.了解慢性疼痛中脑雾的体验与影响:一项范围综述
Can J Pain. 2023 Jul 10;7(1):2217865. doi: 10.1080/24740527.2023.2217865. eCollection 2023.
2
Socially Constructing Healthy Eating: A Foucauldian Discourse Analysis of Healthy Eating Information and Advice.社会建构健康饮食:健康饮食信息和建议的福柯式话语分析。
Qual Health Res. 2021 Sep;31(11):2135-2146. doi: 10.1177/10497323211023436. Epub 2021 Jun 24.
3
Long-COVID syndrome-associated brain fog and chemofog: Luteolin to the rescue.
长新冠综合征相关的脑雾和化疗后认知障碍:木樨草素来救援。
Biofactors. 2021 Mar;47(2):232-241. doi: 10.1002/biof.1726. Epub 2021 Apr 12.
4
Selective Neuronal Mitochondrial Targeting in SARS-CoV-2 Infection Affects Cognitive Processes to Induce 'Brain Fog' and Results in Behavioral Changes that Favor Viral Survival.新冠病毒感染中的选择性神经元线粒体靶向作用影响认知过程,导致“脑雾”,并导致有利于病毒存活的行为变化。
Med Sci Monit. 2021 Jan 25;27:e930886. doi: 10.12659/MSM.930886.
5
Redefining value: a discourse analysis on value-based health care.重新定义价值:基于价值的医疗保健的话语分析。
BMC Health Serv Res. 2020 Sep 14;20(1):862. doi: 10.1186/s12913-020-05614-7.
6
Misinformation sharing and social media fatigue during COVID-19: An affordance and cognitive load perspective.新冠疫情期间的错误信息传播与社交媒体疲劳:基于可供性和认知负荷的视角
Technol Forecast Soc Change. 2020 Oct;159:120201. doi: 10.1016/j.techfore.2020.120201. Epub 2020 Jul 12.
7
Home-care nurses' distinctive work: A discourse analysis of what takes precedence in changing healthcare services.家庭护理护士的独特工作:对优先改变医疗保健服务的话语分析。
Nurs Inq. 2021 Jan;28(1):e12375. doi: 10.1111/nin.12375. Epub 2020 Jul 29.
8
A Call for a Public Health Agenda for Social Media Research.呼吁制定社交媒体研究的公共卫生议程。
J Med Internet Res. 2019 Dec 19;21(12):e16661. doi: 10.2196/16661.
9
Digital Trespass: Ethical and Terms-of-Use Violations by Researchers Accessing Data From an Online Patient Community.数字侵权:研究人员从在线患者社区获取数据时的伦理及使用条款违规行为
J Med Internet Res. 2019 Feb 21;21(2):e11985. doi: 10.2196/11985.
10
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