• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新冠疫情期间脸书和照片墙平台上与肥胖相关的言论:比较纵向评估

Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation.

作者信息

Pollack Catherine, Gilbert-Diamond Diane, Onega Tracy, Vosoughi Soroush, O'Malley A James, Emond Jennifer A

机构信息

Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.

Department of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH, United States.

出版信息

JMIR Infodemiology. 2023 May 16;3:e40005. doi: 10.2196/40005.

DOI:10.2196/40005
PMID:37191990
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10203886/
Abstract

BACKGROUND

COVID-19 severity is amplified among individuals with obesity, which may have influenced mainstream media coverage of the disease by both improving understanding of the condition and increasing weight-related stigma.

OBJECTIVE

We aimed to measure obesity-related conversations on Facebook and Instagram around key dates during the first year of the COVID-19 pandemic.

METHODS

Public Facebook and Instagram posts were extracted for 29-day windows in 2020 around January 28 (the first US COVID-19 case), March 11 (when COVID-19 was declared a global pandemic), May 19 (when obesity and COVID-19 were linked in mainstream media), and October 2 (when former US president Trump contracted COVID-19 and obesity was mentioned most frequently in the mainstream media). Trends in daily posts and corresponding interactions were evaluated using interrupted time series. The 10 most frequent obesity-related topics on each platform were also examined.

RESULTS

On Facebook, there was a temporary increase in 2020 in obesity-related posts and interactions on May 19 (posts +405, 95% CI 166 to 645; interactions +294,930, 95% CI 125,986 to 463,874) and October 2 (posts +639, 95% CI 359 to 883; interactions +182,814, 95% CI 160,524 to 205,105). On Instagram, there were temporary increases in 2020 only in interactions on May 19 (+226,017, 95% CI 107,323 to 344,708) and October 2 (+156,974, 95% CI 89,757 to 224,192). Similar trends were not observed in controls. Five of the most frequent topics overlapped (COVID-19, bariatric surgery, weight loss stories, pediatric obesity, and sleep); additional topics specific to each platform included diet fads, food groups, and clickbait.

CONCLUSIONS

Social media conversations surged in response to obesity-related public health news. Conversations contained both clinical and commercial content of possibly dubious accuracy. Our findings support the idea that major public health announcements may coincide with the spread of health-related content (truthful or otherwise) on social media.

摘要

背景

肥胖个体感染新冠病毒后的病情更为严重,这可能通过增进对该疾病的了解以及加剧与体重相关的污名化,影响了主流媒体对该疾病的报道。

目的

我们旨在衡量新冠疫情第一年关键日期前后脸书和照片墙(Instagram)上与肥胖相关的讨论。

方法

提取了2020年围绕1月28日(美国首例新冠病例)、3月11日(新冠被宣布为全球大流行)、5月19日(肥胖与新冠在主流媒体中被联系起来)和10月2日(美国前总统特朗普感染新冠,肥胖在主流媒体中被提及最频繁)这几个时间点的29天窗口内的脸书和照片墙公开帖子。使用中断时间序列评估每日帖子及相应互动的趋势。还研究了每个平台上最常出现的10个与肥胖相关的话题。

结果

在脸书上,2020年5月19日与肥胖相关的帖子和互动出现了暂时增加(帖子增加405条,95%置信区间为166至645条;互动增加294,930次,95%置信区间为125,986至463,874次),10月2日也出现了类似情况(帖子增加639条,95%置信区间为359至883条;互动增加182,814次,95%置信区间为160,524至205,105次)。在照片墙上,2020年仅在5月19日的互动(增加226,017次,95%置信区间为107,323至344,708次)和10月2日(增加156,974次,95%置信区间为89,757至224,192次)出现了暂时增加。在对照组中未观察到类似趋势。最常出现的五个话题有重叠(新冠、减肥手术、减肥故事、儿童肥胖和睡眠);每个平台特有的其他话题包括饮食潮流、食物类别和标题党。

结论

社交媒体上的讨论因与肥胖相关的公共卫生新闻而激增。讨论内容包含准确性可能存疑的临床和商业信息。我们的研究结果支持这样一种观点,即重大公共卫生公告可能与健康相关内容(无论真假)在社交媒体上的传播同时发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/83c4111e9350/infodemiology_v3i1e40005_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/b4bbebcd05fe/infodemiology_v3i1e40005_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/82725531c709/infodemiology_v3i1e40005_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/c8ae55be53b5/infodemiology_v3i1e40005_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/83c4111e9350/infodemiology_v3i1e40005_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/b4bbebcd05fe/infodemiology_v3i1e40005_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/82725531c709/infodemiology_v3i1e40005_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/c8ae55be53b5/infodemiology_v3i1e40005_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/616a/11378693/83c4111e9350/infodemiology_v3i1e40005_fig4.jpg

相似文献

1
Obesity-Related Discourse on Facebook and Instagram Throughout the COVID-19 Pandemic: Comparative Longitudinal Evaluation.新冠疫情期间脸书和照片墙平台上与肥胖相关的言论:比较纵向评估
JMIR Infodemiology. 2023 May 16;3:e40005. doi: 10.2196/40005.
2
Evaluation of a Social Media Campaign in Saskatchewan to Promote Healthy Eating During the COVID-19 Pandemic: Social Media Analysis and Qualitative Interview Study.萨斯喀彻温省一项在新冠疫情期间促进健康饮食的社交媒体活动评估:社交媒体分析与定性访谈研究
J Med Internet Res. 2021 Jul 21;23(7):e27448. doi: 10.2196/27448.
3
Examining the Influence on Perceptions of Endometriosis via Analysis of Social Media Posts: Cross-sectional Study.通过社交媒体帖子分析探讨对子宫内膜异位症认知的影响:横断面研究
JMIR Form Res. 2022 Mar 18;6(3):e31135. doi: 10.2196/31135.
4
What People "Like": Analysis of Social Media Strategies Used by Food Industry Brands, Lifestyle Brands, and Health Promotion Organizations on Facebook and Instagram.人们“喜欢”的内容:对食品行业品牌、生活方式品牌以及健康促进组织在脸书和照片墙上使用的社交媒体策略的分析
J Med Internet Res. 2018 Jun 14;20(6):e10227. doi: 10.2196/10227.
5
Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study.社交媒体在糖尿病管理中的应用:基于 Facebook、Twitter 和 Instagram 的用户参与因素观察性研究
J Med Internet Res. 2020 Sep 29;22(9):e21204. doi: 10.2196/21204.
6
Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling.2016年至2021年脸书上关于心脏病和心脏健康的公众对话分析:应用潜在狄利克雷分配主题模型的回顾性观察研究
JMIR Cardio. 2022 Nov 22;6(2):e40764. doi: 10.2196/40764.
7
Evaluation of Social Media Utilization by Academic Plastic Surgery Programs during the COVID-19 Pandemic.评估 COVID-19 大流行期间学术整形外科学科利用社交媒体的情况。
Plast Reconstr Surg. 2021 Nov 1;148(5):825e-836e. doi: 10.1097/PRS.0000000000008482.
8
Platform Effects on Public Health Communication: A Comparative and National Study of Message Design and Audience Engagement Across Twitter and Facebook.平台对公共卫生传播的影响:一项关于推特和脸书上信息设计与受众参与度的比较性全国研究。
JMIR Infodemiology. 2022 Dec 20;2(2):e40198. doi: 10.2196/40198. eCollection 2022 Jul-Dec.
9
Discussion of Weight Loss Surgery in Instagram Posts: Successive Sampling Study.Instagram帖子中关于减肥手术的讨论:连续抽样研究
JMIR Perioper Med. 2021 Nov 1;4(2):e29390. doi: 10.2196/29390.
10
Pre-exposure Prophylaxis (PrEP) Information on Instagram: Content Analysis.Instagram 上的暴露前预防(PrEP)信息:内容分析。
JMIR Public Health Surveill. 2021 Jul 27;7(7):e23876. doi: 10.2196/23876.

引用本文的文献

1
Weight stigma and fat phobia in Poland - attitudes towards people living with obesity and the level of knowledge about obesity among the social media internet respondents and medical professionals.波兰的体重羞辱和肥胖恐惧症——社交媒体互联网受访者及医学专业人员对肥胖者的态度和对肥胖的认知水平
Front Nutr. 2023 Oct 9;10:1287783. doi: 10.3389/fnut.2023.1287783. eCollection 2023.

本文引用的文献

1
Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration.研究主题建模技术以提取意大利长新冠叙述中有意义的见解。
BioTech (Basel). 2022 Sep 3;11(3):41. doi: 10.3390/biotech11030041.
2
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts.LDA、NMF、Top2Vec和BERTopic用于揭秘推特帖子的主题建模比较
Front Sociol. 2022 May 6;7:886498. doi: 10.3389/fsoc.2022.886498. eCollection 2022.
3
Consumer perceptions of telehealth for mental health or substance abuse: a Twitter-based topic modeling analysis.
消费者对心理健康或药物滥用远程医疗的认知:基于推特的主题建模分析
JAMIA Open. 2022 Apr 27;5(2):ooac028. doi: 10.1093/jamiaopen/ooac028. eCollection 2022 Jul.
4
Public Understanding of Childhood Obesity: Qualitative Analysis of News Articles and Comments on Facebook.公众对儿童肥胖的理解:新闻文章及脸书评论的定性分析
Health Commun. 2023 May;38(5):967-980. doi: 10.1080/10410236.2021.1985859. Epub 2021 Oct 3.
5
#quarantine15: A content analysis of Instagram posts during COVID-19.#隔离 15 天:COVID-19 期间 Instagram 帖子的内容分析。
Body Image. 2021 Sep;38:148-156. doi: 10.1016/j.bodyim.2021.04.002. Epub 2021 Apr 8.
6
Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions.使用自回归求和移动平均 (ARIMA) 模型的中断时间序列分析:评估大规模卫生干预措施的指南。
BMC Med Res Methodol. 2021 Mar 22;21(1):58. doi: 10.1186/s12874-021-01235-8.
7
Body Mass Index and Risk for COVID-19-Related Hospitalization, Intensive Care Unit Admission, Invasive Mechanical Ventilation, and Death - United States, March-December 2020.体重指数与 2020 年 3 月至 12 月期间 COVID-19 相关住院、重症监护病房收治、有创机械通气和死亡风险的关系-美国。
MMWR Morb Mortal Wkly Rep. 2021 Mar 12;70(10):355-361. doi: 10.15585/mmwr.mm7010e4.
8
Adolescent Exposure to Weight Loss Imagery on Instagram: A Content Analysis of "Top" Images.青少年在照片墙(Instagram)上接触减肥意象的情况:对“热门”图片的内容分析
Child Obes. 2021 Jun;17(4):241-248. doi: 10.1089/chi.2020.0351. Epub 2021 Mar 10.
9
Stigmatizing Media Portrayal of Obesity During the Coronavirus (COVID-19) Pandemic.新冠疫情期间媒体对肥胖的污名化描述
Front Psychol. 2020 Sep 3;11:2124. doi: 10.3389/fpsyg.2020.02124. eCollection 2020.
10
Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City Area.在纽约市地区,5700 名因 COVID-19 住院的患者的特征、合并症和结局。
JAMA. 2020 May 26;323(20):2052-2059. doi: 10.1001/jama.2020.6775.