社交媒体的使用与幸福感:系统回顾与元分析》。

IF 4.2 2区 心理学 Q1 PSYCHOLOGY, SOCIAL Cyberpsychology, behavior and social networking Pub Date : 2024-10-01 Epub Date: 2024-08-27 DOI:10.1089/cyber.2024.0001
Sameer Ansari, Naved Iqbal, Resham Asif, Mohammad Hashim, Saif R Farooqi, Zainab Alimoradi
{"title":"社交媒体的使用与幸福感:系统回顾与元分析》。","authors":"Sameer Ansari, Naved Iqbal, Resham Asif, Mohammad Hashim, Saif R Farooqi, Zainab Alimoradi","doi":"10.1089/cyber.2024.0001","DOIUrl":null,"url":null,"abstract":"<p><p>Prior research has investigated the link between social media use (SMU) and negative well-being. However, the connection with positive well-being has not been extensively studied, leading to a situation where there are inconsistent and inconclusive findings. This study fills this gap by examining the correlation between excessive and problematic SMU and subjective as well as psychological well-being (PWB). We conducted a systematic search across databases such as PubMed, Scopus, and Web of Science, and gray literature sources such as Research Gate and ProQuest, yielding 51 relevant studies for meta-analysis, encompassing a sample size of 680,506 individuals. Employing the Newcastle-Ottawa Scale, we assessed study quality, whereas statistical analysis was executed using R Studio. Excessive SMU showed no significant association with subjective (<i>ES</i> = 0.003, 95% confidence interval [<i>95% CI</i>]: -0.08, 0.09; <i>p</i> = 0.94, <i>I</i><sup>2</sup> = 95.8%, <i>k</i> =16) and PWB (<i>ES</i> = 0.16, <i>95% CI</i>: -0.15, 0.45; <i>p</i> = 0.26, <i>I</i><sup>2</sup> = 98%, <i>k</i> = 7). Conversely, problematic SMU showed a negative correlation with subjective (<i>ES = -0.14</i>, <i>95% CI</i>: -0.20, -0.09; <i>p</i> = 0.00, <i>I</i><sup>2</sup> = 93.3%, <i>k</i> = 25) and PWB (<i>ES = -0.19</i>, <i>95% CI</i>: -0.31, -0.06; <i>p</i> = 0.01, <i>I</i><sup>2</sup> = 95%, <i>k</i> = 5), with two outliers removed. No publication bias was detected. Subgroup analysis highlighted effects of \"sampling method\" (<i>p</i> < 0.05), \"study quality\" (<i>p</i> < 0.05), \"developmental status\" (<i>p</i> < 0.05), \"forms of social media\" (<i>p</i> < 0.05), and \"type of population\" (<i>p</i> < 0.01) on the estimated pooled effect sizes. Although univariate meta-regression showed the effects of \"% of Internet users\" (<i>p</i> < 0.05) and \"male%\" (<i>p</i> < 0.05), and multivariate meta-regression showed the combined effect of moderators only on the relationship between problematic SMU and subjective well-being.</p>","PeriodicalId":10872,"journal":{"name":"Cyberpsychology, behavior and social networking","volume":" ","pages":"704-719"},"PeriodicalIF":4.2000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social Media Use and Well-Being: A Systematic Review and Meta-Analysis.\",\"authors\":\"Sameer Ansari, Naved Iqbal, Resham Asif, Mohammad Hashim, Saif R Farooqi, Zainab Alimoradi\",\"doi\":\"10.1089/cyber.2024.0001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Prior research has investigated the link between social media use (SMU) and negative well-being. However, the connection with positive well-being has not been extensively studied, leading to a situation where there are inconsistent and inconclusive findings. This study fills this gap by examining the correlation between excessive and problematic SMU and subjective as well as psychological well-being (PWB). We conducted a systematic search across databases such as PubMed, Scopus, and Web of Science, and gray literature sources such as Research Gate and ProQuest, yielding 51 relevant studies for meta-analysis, encompassing a sample size of 680,506 individuals. Employing the Newcastle-Ottawa Scale, we assessed study quality, whereas statistical analysis was executed using R Studio. Excessive SMU showed no significant association with subjective (<i>ES</i> = 0.003, 95% confidence interval [<i>95% CI</i>]: -0.08, 0.09; <i>p</i> = 0.94, <i>I</i><sup>2</sup> = 95.8%, <i>k</i> =16) and PWB (<i>ES</i> = 0.16, <i>95% CI</i>: -0.15, 0.45; <i>p</i> = 0.26, <i>I</i><sup>2</sup> = 98%, <i>k</i> = 7). Conversely, problematic SMU showed a negative correlation with subjective (<i>ES = -0.14</i>, <i>95% CI</i>: -0.20, -0.09; <i>p</i> = 0.00, <i>I</i><sup>2</sup> = 93.3%, <i>k</i> = 25) and PWB (<i>ES = -0.19</i>, <i>95% CI</i>: -0.31, -0.06; <i>p</i> = 0.01, <i>I</i><sup>2</sup> = 95%, <i>k</i> = 5), with two outliers removed. No publication bias was detected. Subgroup analysis highlighted effects of \\\"sampling method\\\" (<i>p</i> < 0.05), \\\"study quality\\\" (<i>p</i> < 0.05), \\\"developmental status\\\" (<i>p</i> < 0.05), \\\"forms of social media\\\" (<i>p</i> < 0.05), and \\\"type of population\\\" (<i>p</i> < 0.01) on the estimated pooled effect sizes. Although univariate meta-regression showed the effects of \\\"% of Internet users\\\" (<i>p</i> < 0.05) and \\\"male%\\\" (<i>p</i> < 0.05), and multivariate meta-regression showed the combined effect of moderators only on the relationship between problematic SMU and subjective well-being.</p>\",\"PeriodicalId\":10872,\"journal\":{\"name\":\"Cyberpsychology, behavior and social networking\",\"volume\":\" \",\"pages\":\"704-719\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2024-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cyberpsychology, behavior and social networking\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1089/cyber.2024.0001\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/8/27 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, SOCIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cyberpsychology, behavior and social networking","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1089/cyber.2024.0001","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/27 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY, SOCIAL","Score":null,"Total":0}
引用次数: 0

摘要

先前的研究已经调查了社交媒体使用(SMU)与消极幸福感之间的联系。然而,与积极幸福感之间的联系尚未得到广泛研究,导致研究结果不一致且没有定论。本研究通过研究过度和有问题的 SMU 与主观和心理幸福感(PWB)之间的相关性,填补了这一空白。我们在PubMed、Scopus和Web of Science等数据库以及Research Gate和ProQuest等灰色文献来源中进行了系统检索,得出了51项可用于荟萃分析的相关研究,样本量达680,506人。我们采用纽卡斯尔-渥太华量表评估研究质量,并使用 R Studio 进行统计分析。过度的 SMU 与主观(ES = 0.003,95% 置信区间 [95%CI]:-0.08,0.09;p = 0.94,I2 = 95.8%,k = 16)和脉搏波速度(ES = 0.16,95% CI:-0.15,0.45;p = 0.26,I2 = 98%,k = 7)无明显关联。相反,有问题的 SMU 与主观性(ES = -0.14,95% CI:-0.20,-0.09;p = 0.00,I2 = 93.3%,k = 25)和 PWB(ES = -0.19,95% CI:-0.31,-0.06;p = 0.01,I2 = 95%,k = 5)呈负相关,其中两个异常值被剔除。未发现发表偏倚。亚组分析强调了 "抽样方法"(p < 0.05)、"研究质量"(p < 0.05)、"发展状况"(p < 0.05)、"社交媒体形式"(p < 0.05)和 "人群类型"(p < 0.01)对估计效应大小的影响。尽管单变量元回归显示了 "网民百分比"(p < 0.05)和 "男性百分比"(p < 0.05)的影响,多变量元回归显示了调节因素对问题 SMU 与主观幸福感之间关系的综合影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Social Media Use and Well-Being: A Systematic Review and Meta-Analysis.

Prior research has investigated the link between social media use (SMU) and negative well-being. However, the connection with positive well-being has not been extensively studied, leading to a situation where there are inconsistent and inconclusive findings. This study fills this gap by examining the correlation between excessive and problematic SMU and subjective as well as psychological well-being (PWB). We conducted a systematic search across databases such as PubMed, Scopus, and Web of Science, and gray literature sources such as Research Gate and ProQuest, yielding 51 relevant studies for meta-analysis, encompassing a sample size of 680,506 individuals. Employing the Newcastle-Ottawa Scale, we assessed study quality, whereas statistical analysis was executed using R Studio. Excessive SMU showed no significant association with subjective (ES = 0.003, 95% confidence interval [95% CI]: -0.08, 0.09; p = 0.94, I2 = 95.8%, k =16) and PWB (ES = 0.16, 95% CI: -0.15, 0.45; p = 0.26, I2 = 98%, k = 7). Conversely, problematic SMU showed a negative correlation with subjective (ES = -0.14, 95% CI: -0.20, -0.09; p = 0.00, I2 = 93.3%, k = 25) and PWB (ES = -0.19, 95% CI: -0.31, -0.06; p = 0.01, I2 = 95%, k = 5), with two outliers removed. No publication bias was detected. Subgroup analysis highlighted effects of "sampling method" (p < 0.05), "study quality" (p < 0.05), "developmental status" (p < 0.05), "forms of social media" (p < 0.05), and "type of population" (p < 0.01) on the estimated pooled effect sizes. Although univariate meta-regression showed the effects of "% of Internet users" (p < 0.05) and "male%" (p < 0.05), and multivariate meta-regression showed the combined effect of moderators only on the relationship between problematic SMU and subjective well-being.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
期刊最新文献
Not All Interventions are Made Equal: Harnessing Design and Messaging to Nudge Bystander Intervention. Associations Between Searching and Sending Cyberhate: The Moderating Role of the Need of Online Popularity and Toxic Online Disinhibition. Homelessness in Virtual Reality: Experiencing Social Exclusion Improves Attitudes and Behaviors Toward Unhoused People. Who Am I Inside the Screen? Construction of Virtual Identity in Multiplayer Online Videogames and Its Psychological Functions. Humanity's Evolving Conversations: AI as Confidant, Coach, and Companion.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1