• 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

新冠肺炎疫情期间中国微博用户住宅隔离的主观幸福感:机器学习分析。

Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis.

机构信息

Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.

Department of Psychology, University of Chinese Academy of Sciences, Beijing, China.

出版信息

J Med Internet Res. 2020 Dec 17;22(12):e24775. doi: 10.2196/24775.

DOI:10.2196/24775
PMID:33290247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7747794/
Abstract

BACKGROUND

During the COVID-19 pandemic, residential lockdowns were implemented in numerous cities in China to contain the rapid spread of the disease. Although these stringent regulations effectively slowed the spread of COVID-19, they may have posed challenges to the well-being of residents.

OBJECTIVE

This study aims to explore the effects of residential lockdown on the subjective well-being (SWB) of individuals in China during the COVID-19 pandemic.

METHODS

The sample consisted of 1790 Sina Weibo users who were residents of cities that imposed residential lockdowns, of which 1310 users (73.18%) were female, and 3580 users who were residents of cities that were not locked down (gender-matched with the 1790 lockdown residents). In both the lockdown and nonlockdown groups, we calculated SWB indicators during the 2 weeks before and after the enforcement date of the residential lockdown using individuals' original posts on Sina Weibo. SWB was calculated via online ecological recognition, which is based on established machine learning predictive models.

RESULTS

The interactions of time (before the residential lockdown or after the residential lockdown) × area (lockdown or nonlockdown) in the integral analysis (N=5370) showed that after the residential lockdown, compared with the nonlockdown group, the lockdown group scored lower in some negative SWB indicators, including somatization (F=13.593, P<.001) and paranoid ideation (F=14.333, P<.001). The interactions of time (before the residential lockdown or after the residential lockdown) × area (developed or underdeveloped) in the comparison of residential lockdown areas with different levels of economic development (N=1790) indicated that the SWB of residents in underdeveloped areas showed no significant change after the residential lockdown (P>.05), while that of residents in developed areas changed.

CONCLUSIONS

These findings increase our understanding of the psychological impact and cost of residential lockdown during an epidemic. The more negative changes in the SWB of residents in developed areas imply a greater need for psychological intervention under residential lockdown in such areas.

摘要

背景

在 COVID-19 大流行期间,中国许多城市实施了居民居家封锁,以遏制疾病的快速传播。尽管这些严格的规定有效地减缓了 COVID-19 的传播速度,但它们可能对居民的福祉造成了挑战。

目的

本研究旨在探讨 COVID-19 大流行期间中国居民居家封锁对其主观幸福感(SWB)的影响。

方法

样本由 1790 名在实施居家封锁的城市居住的新浪微博用户组成,其中 1310 名用户(73.18%)为女性,3580 名用户为未实施居家封锁的城市居民(与 1790 名居家封锁居民性别匹配)。在居家封锁组和非居家封锁组中,我们使用个体在新浪微博上发布的原始帖子,计算了居家封锁实施前后两周的 SWB 指标。SWB 通过在线生态识别进行计算,该方法基于已建立的机器学习预测模型。

结果

整体分析(N=5370)中时间(居家封锁前或居家封锁后)与地区(封锁或非封锁)的交互作用显示,与非封锁组相比,居家封锁后,封锁组在一些负面 SWB 指标上得分较低,包括躯体化(F=13.593,P<.001)和偏执观念(F=14.333,P<.001)。经济发展水平不同的居家封锁地区比较(N=1790)中时间(居家封锁前或居家封锁后)与地区(发达或欠发达)的交互作用表明,欠发达地区居民的 SWB 在居家封锁后没有显著变化(P>.05),而发达地区居民的 SWB 发生了变化。

结论

这些发现增加了我们对疫情期间居家封锁的心理影响和代价的理解。发达地区居民 SWB 的负面变化更大,意味着在这些地区实施居家封锁时,更需要进行心理干预。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c7d/7747794/71238d2d9d9d/jmir_v22i12e24775_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c7d/7747794/32fa5b4f25e5/jmir_v22i12e24775_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c7d/7747794/71238d2d9d9d/jmir_v22i12e24775_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c7d/7747794/32fa5b4f25e5/jmir_v22i12e24775_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c7d/7747794/71238d2d9d9d/jmir_v22i12e24775_fig2.jpg

相似文献

1
Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis.新冠肺炎疫情期间中国微博用户住宅隔离的主观幸福感:机器学习分析。
J Med Internet Res. 2020 Dec 17;22(12):e24775. doi: 10.2196/24775.
2
Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data.新冠疫情期间中国社交媒体用户表达的担忧:对新浪微博数据的内容分析
J Med Internet Res. 2020 Nov 26;22(11):e22152. doi: 10.2196/22152.
3
Developmental Trend of Subjective Well-Being of Weibo Users During COVID-19: Online Text Analysis Based on Machine Learning Method.新冠疫情期间微博用户主观幸福感的发展趋势:基于机器学习方法的网络文本分析
Front Psychol. 2022 Jan 6;12:779594. doi: 10.3389/fpsyg.2021.779594. eCollection 2021.
4
Examining the Impact of COVID-19 Lockdown in Wuhan and Lombardy: A Psycholinguistic Analysis on Weibo and Twitter.考察武汉和伦巴第 COVID-19 封锁的影响:基于微博和推特的心理语言学分析。
Int J Environ Res Public Health. 2020 Jun 24;17(12):4552. doi: 10.3390/ijerph17124552.
5
Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts.挖掘中国新冠肺炎患者的特征:基于社交媒体帖子的分析
J Med Internet Res. 2020 May 17;22(5):e19087. doi: 10.2196/19087.
6
The Emotional Anatomy of the Wuhan Lockdown: Sentiment Analysis Using Weibo Data.武汉封城的情感剖析:基于微博数据的情感分析
JMIR Form Res. 2022 Nov 14;6(11):e37698. doi: 10.2196/37698.
7
Social Media and Emotional Burnout Regulation During the COVID-19 Pandemic: Multilevel Approach.社交媒体与新冠疫情期间的情绪耗竭调节:多层次方法
J Med Internet Res. 2021 Mar 16;23(3):e27015. doi: 10.2196/27015.
8
Immediate and delayed psychological effects of province-wide lockdown and personal quarantine during the COVID-19 outbreak in China.中国 COVID-19 疫情期间全省封锁和个人隔离的即时和延迟心理影响。
Psychol Med. 2022 May;52(7):1321-1332. doi: 10.1017/S0033291720003116. Epub 2020 Aug 13.
9
A Novel Machine Learning Framework for Comparison of Viral COVID-19-Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis.一种用于比较病毒性 COVID-19 相关微博和推特帖子的新型机器学习框架:工作流程开发和内容分析。
J Med Internet Res. 2021 Jan 6;23(1):e24889. doi: 10.2196/24889.
10
Associations Between the Perceived Severity of the COVID-19 Pandemic, Cyberchondria, Depression, Anxiety, Stress, and Lockdown Experience: Cross-sectional Survey Study.新冠大流行严重程度感知、网络疑病症、抑郁、焦虑、压力与封控经历之间的关联:横断面调查研究。
JMIR Public Health Surveill. 2021 Sep 16;7(9):e31052. doi: 10.2196/31052.

引用本文的文献

1
Does wealth equate to happiness? an 11-year panel data analysis exploring socio-economic indicators and social media metrics.财富等同于幸福吗?一项探索社会经济指标和社交媒体指标的 11 年面板数据分析。
PLoS One. 2024 Apr 10;19(4):e0301206. doi: 10.1371/journal.pone.0301206. eCollection 2024.
2
Impact of the COVID-19 Pandemic on People Living With Rare Diseases and Their Families: Results of a National Survey.COVID-19 大流行对罕见病患者及其家庭的影响:一项全国性调查的结果。
JMIR Public Health Surveill. 2024 Feb 14;10:e48430. doi: 10.2196/48430.
3
Relationship between mental health literacy and professional psychological help-seeking attitudes in China: a chain mediation model.

本文引用的文献

1
Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.COVID-19 舆情的社会网络分析:人工智能的应用
J Med Internet Res. 2020 Aug 18;22(8):e22590. doi: 10.2196/22590.
2
COVID-19 pandemic: Lessons learned and future directions.COVID-19 大流行:经验教训和未来方向。
Indian J Ophthalmol. 2020 May;68(5):703-710. doi: 10.4103/ijo.IJO_843_20.
3
A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations.新冠疫情期间中国人心理困扰的全国性调查:启示与政策建议
心理健康素养与专业心理求助态度在中国的关系:链式中介模型。
BMC Psychiatry. 2023 Dec 21;23(1):956. doi: 10.1186/s12888-023-05458-5.
4
Analysis of the evolving factors of social media users' emotions and behaviors: a longitudinal study from China's COVID-19 opening policy period.社交媒体用户情绪和行为演变因素分析:来自中国 COVID-19 放开政策时期的纵向研究。
BMC Public Health. 2023 Nov 13;23(1):2230. doi: 10.1186/s12889-023-17160-y.
5
Factors driving the implementation of the 'Local New Year' policy to prevent COVID-19 in China.推动中国实施“就地过年”新冠疫情防控政策的因素。
Humanit Soc Sci Commun. 2023;10(1):260. doi: 10.1057/s41599-023-01765-0. Epub 2023 May 26.
6
Sensing Psychological Well-being Using Social Media Language: Prediction Model Development Study.使用社交媒体语言感知心理健康:预测模型开发研究。
J Med Internet Res. 2023 Jan 31;25:e41823. doi: 10.2196/41823.
7
Effects of urban parks on residents' expressed happiness before and during the COVID-19 pandemic.城市公园对新冠疫情之前及期间居民所表达的幸福感的影响。
Landsc Urban Plan. 2021 Aug;212:104118. doi: 10.1016/j.landurbplan.2021.104118. Epub 2021 Apr 13.
8
Measuring daily-life fear perception change: A computational study in the context of COVID-19.测量日常生活中恐惧感知的变化:COVID-19 背景下的计算研究。
PLoS One. 2022 Dec 22;17(12):e0278322. doi: 10.1371/journal.pone.0278322. eCollection 2022.
9
Intersecting Race and Gender Across Hardships and Mental Health During COVID-19: A Moderated-Mediation Model of Graduate Students at Two Universities.新冠疫情期间,种族与性别在困境和心理健康方面的交叉影响:两所大学研究生的调节中介模型
Race Soc Probl. 2022 Oct 25:1-19. doi: 10.1007/s12552-022-09379-y.
10
The Impact of Mortality Salience, Negative Emotions and Cultural Values on Suicidal Ideation in COVID-19: A Conditional Process Model.死亡凸显、负面情绪和文化价值观对 COVID-19 中自杀意念的影响:一个条件过程模型。
Int J Environ Res Public Health. 2022 Jul 27;19(15):9200. doi: 10.3390/ijerph19159200.
Gen Psychiatr. 2020 Mar 6;33(2):e100213. doi: 10.1136/gpsych-2020-100213. eCollection 2020.
4
Early dynamics of transmission and control of COVID-19: a mathematical modelling study.COVID-19 的传播和控制的早期动态:一项数学建模研究。
Lancet Infect Dis. 2020 May;20(5):553-558. doi: 10.1016/S1473-3099(20)30144-4. Epub 2020 Mar 11.
5
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak.旅行限制对 2019 年新型冠状病毒(COVID-19)疫情传播的影响。
Science. 2020 Apr 24;368(6489):395-400. doi: 10.1126/science.aba9757. Epub 2020 Mar 6.
6
The psychological effects of quarantining a city.封锁一座城市所带来的心理影响。
BMJ. 2020 Jan 28;368:m313. doi: 10.1136/bmj.m313.
7
Using Social Media to Explore the Consequences of Domestic Violence on Mental Health.利用社交媒体探讨家庭暴力对心理健康的影响。
J Interpers Violence. 2021 Feb;36(3-4):NP1965-1985NP. doi: 10.1177/0886260518757756. Epub 2018 Feb 14.
8
Evaluating the Validity of Simplified Chinese Version of LIWC in Detecting Psychological Expressions in Short Texts on Social Network Services.评估简体中文版LIWC在检测社交网络服务短文本中心理表达方面的有效性。
PLoS One. 2016 Jun 20;11(6):e0157947. doi: 10.1371/journal.pone.0157947. eCollection 2016.
9
Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines.脸书作为社会科学的研究工具:机遇、挑战、伦理考量及实用指南。
Am Psychol. 2015 Sep;70(6):543-56. doi: 10.1037/a0039210.
10
Development, Freedom, and Rising Happiness: A Global Perspective (1981-2007).发展、自由与幸福感提升:全球视野(1981-2007)。
Perspect Psychol Sci. 2008 Jul;3(4):264-85. doi: 10.1111/j.1745-6924.2008.00078.x.