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. 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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.
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.