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
Sameer Ansari, Naved Iqbal, Resham Asif, Mohammad Hashim, Saif R Farooqi, Zainab Alimoradi
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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。
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.

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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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