Suppr超能文献

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.

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/7747794/32fa5b4f25e5/jmir_v22i12e24775_fig1.jpg

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