分析2016年至2021年Facebook上关于心脏病和心脏健康的公众对话:应用潜在狄利克雷分配主题模型的回顾性观察研究

Q2 Medicine JMIR Cardio Pub Date : 2022-11-22 DOI:10.2196/40764
Haoning Xue, Jingwen Zhang, Kenji Sagae, Brian Nishimine, Yoshimi Fukuoka
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引用次数: 1

摘要

背景:心脏病仍然是美国男性和女性死亡的主要原因。COVID-19大流行进一步导致各种长期心血管并发症的增加。目的:本研究分析了Facebook上与心脏病和心脏健康相关的公共对话的主题和情绪。此外,它还深入分析了具有重要实际意义的两个子主题:妇女心脏健康和2019冠状病毒病大流行期间的心脏健康。方法:我们收集了2016年6月至2021年6月期间与心脏病和健康相关的34,885篇帖子和51,835条评论,这些评论来自公共Facebook页面和群组。我们使用潜在的Dirichlet分配主题建模来提取讨论主题,以阐明公众对心脏病和心脏健康的兴趣和关注。我们还使用了语言调查和字数统计(Pennebaker集团公司)来确定公众对心脏健康的看法。结果:我们观察到Facebook上与心脏健康相关的讨论有所增加。文章和评论分别从2016年的3102篇和3632篇增加到2021年的8550篇(增长176%)和14617篇(增长302%)。总体而言,35.37%(12,340/34,885)的职位是在2020年1月COVID-19大流行开始后创建的。共有39.21%(13677 / 34885)的职位是由非营利卫生组织提供的。我们在帖子中确定了6个主题(心脏健康促进、个人经历、降低风险教育、女性心脏健康促进、教育信息和医生现场讨论)。我们在评论中确定了6个主题(个人经历,幸存者故事,降低风险,宗教,医学问题,以及对医生和心脏健康信息的欣赏)。在大流行期间(2020年1月至2021年6月),降低风险是帖子和评论中的一个主要主题。关于替代疗法和宣传内容的未经证实的信息也很普遍。在所有帖子中,14.91%(5200/34,885)是专门关于妇女心脏健康的,主要集中在当地活动宣传和妇女心脏病的独特症状上。结论:我们的研究结果追踪了公众在一个著名的社交媒体平台Facebook上关于心脏病和心脏健康的持续讨论。公众对心脏健康的讨论和信息共享随着时间的推移而增加,特别是自COVID-19大流行开始以来。各级卫生组织在Facebook上积极推广心脏健康信息,吸引了大量用户。Facebook为更有针对性的心脏健康干预提供了机会,可以接触到不同的人群。
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Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling.

Background: Heart disease continues to be the leading cause of death in men and women in the United States. The COVID-19 pandemic has further led to increases in various long-term cardiovascular complications.

Objective: This study analyzed public conversations related to heart disease and heart health on Facebook in terms of their thematic topics and sentiments. In addition, it provided in-depth analyses of 2 subtopics with important practical implications: heart health for women and heart health during the COVID-19 pandemic.

Methods: We collected 34,885 posts and 51,835 comments spanning from June 2016 to June 2021 that were related to heart disease and health from public Facebook pages and groups. We used latent Dirichlet allocation topic modeling to extract discussion topics illuminating the public's interests and concerns regarding heart disease and heart health. We also used Linguistic Inquiry and Word Count (Pennebaker Conglomerates, Inc) to identify public sentiments regarding heart health.

Results: We observed an increase in discussions related to heart health on Facebook. Posts and comments increased from 3102 and 3632 in 2016 to 8550 (176% increase) and 14,617 (302% increase) in 2021, respectively. Overall, 35.37% (12,340/34,885) of the posts were created after January 2020, the start of the COVID-19 pandemic. In total, 39.21% (13,677/34,885) of the posts were by nonprofit health organizations. We identified 6 topics in the posts (heart health promotion, personal experiences, risk-reduction education, heart health promotion for women, educational information, and physicians' live discussion sessions). We identified 6 topics in the comments (personal experiences, survivor stories, risk reduction, religion, medical questions, and appreciation of physicians and information on heart health). During the pandemic (from January 2020 to June 2021), risk reduction was a major topic in both posts and comments. Unverified information on alternative treatments and promotional content was also prevalent. Among all posts, 14.91% (5200/34,885) were specifically about heart health for women centering on local event promotion and distinctive symptoms of heart diseases for women.

Conclusions: Our results tracked the public's ongoing discussions on heart disease and heart health on one prominent social media platform, Facebook. The public's discussions and information sharing on heart health increased over time, especially since the start of the COVID-19 pandemic. Various levels of health organizations on Facebook actively promoted heart health information and engaged a large number of users. Facebook presents opportunities for more targeted heart health interventions that can reach and engage diverse populations.

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来源期刊
JMIR Cardio
JMIR Cardio Computer Science-Computer Science Applications
CiteScore
3.50
自引率
0.00%
发文量
25
审稿时长
12 weeks
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