Impact of National Lockdown Measures on the Association Between Social Media Use and Sleep Disturbance During COVID-19: A Meta-Analysis of 21 Nations.

IF 4.2 2区 心理学 Q1 PSYCHOLOGY, SOCIAL Cyberpsychology, behavior and social networking Pub Date : 2024-08-01 Epub Date: 2024-06-25 DOI:10.1089/cyber.2023.0571
Cecilia Cheng, Sihui Chen, Si Chen
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Abstract

During the COVID-19 pandemic, the extensive lockdown measures implemented for disease mitigation triggered a surge in round-the-clock social media use, giving rise to widespread concerns regarding its impact on sleep health. This meta-analysis examined the association between social media use and sleep disturbance during the pandemic, along with potential moderators. The dataset included 43 independent samples comprising 68,247 residents of 21 countries across 7 world regions. The three-level mixed-effects meta-analysis revealed a weak, positive overall effect size (r = 0.1296, 95% confidence interval: 0.0764-0.1828, k = 90). The magnitude of the effect size varied by the type of social media use: compulsive use exhibited a moderately strong effect size, whereas information-focused use showed marginal significance. The effect size was more pronounced in countries imposing stricter (vs. less strict) lockdown measures. Lockdown status also moderated this association, with a marginally significant effect size observed during lockdowns but a significant effect size after lockdowns. For demographics, samples involving emerging adults demonstrated moderately strong effect sizes, whereas those involving the general population had modest effect sizes. Notably, the interaction between the type of social media use and lockdown status was significant. Specifically, the positive association with information-focused use was significant only during lockdowns, whereas that with general use was significant after, but not during, lockdowns. However, compulsive use showed a moderately strong effect size both during and after lockdowns. These findings underscored the importance of considering multiple factors-such as the type of social media use, context, and demographics-when studying social media use and sleep health.

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国家封锁措施对 COVID-19 期间社交媒体使用与睡眠障碍之间关系的影响:21 个国家的 Meta 分析。
在 COVID-19 大流行期间,为缓解疫情而实施的广泛封锁措施引发了全天候社交媒体使用的激增,引起了人们对社交媒体对睡眠健康影响的广泛关注。这项荟萃分析研究了大流行期间社交媒体使用与睡眠障碍之间的关系以及潜在的调节因素。数据集包括 43 个独立样本,由全球 7 个地区 21 个国家的 68,247 名居民组成。三级混合效应荟萃分析显示,总体效应大小为微弱的正效应(r = 0.1296,95% 置信区间:0.0764-0.1828,k = 90)。使用社交媒体的类型不同,效应大小也不同:强迫性使用的效应大小中等,而信息型使用的效应大小很小。在实施更严格(相对于不太严格)封锁措施的国家,效应大小更为明显。封锁状态也会调节这种关联,在封锁期间观察到的效应大小略微显著,而在封锁之后观察到的效应大小则非常显著。在人口统计学方面,涉及新兴成人的样本显示出中等程度的效应大小,而涉及普通人群的样本则显示出中等程度的效应大小。值得注意的是,社交媒体使用类型与封锁状态之间的交互作用非常显著。具体地说,只有在封锁期间,信息导向型使用的正相关性才显著,而一般使用的正相关性在封锁之后显著,但在封锁期间并不显著。然而,强迫性使用在封锁期间和封锁之后都有中等程度的影响。这些发现强调了在研究社交媒体使用和睡眠健康时考虑多种因素的重要性,如社交媒体使用的类型、环境和人口统计学。
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来源期刊
CiteScore
9.60
自引率
3.00%
发文量
123
期刊介绍: Cyberpsychology, Behavior, and Social Networking is a leading peer-reviewed journal that is recognized for its authoritative research on the social, behavioral, and psychological impacts of contemporary social networking practices. The journal covers a wide range of platforms, including Twitter, Facebook, internet gaming, and e-commerce, and examines how these digital environments shape human interaction and societal norms. For over two decades, this journal has been a pioneering voice in the exploration of social networking and virtual reality, establishing itself as an indispensable resource for professionals and academics in the field. It is particularly celebrated for its swift dissemination of findings through rapid communication articles, alongside comprehensive, in-depth studies that delve into the multifaceted effects of interactive technologies on both individual behavior and broader societal trends. The journal's scope encompasses the full spectrum of impacts—highlighting not only the potential benefits but also the challenges that arise as a result of these technologies. By providing a platform for rigorous research and critical discussions, it fosters a deeper understanding of the complex interplay between technology and human behavior.
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