幻觉行为与害怕错过的关系:系统回顾与元分析》。

IF 4.2 2区 心理学 Q1 PSYCHOLOGY, SOCIAL
Sameer Ansari, Ahmad Azeem, Irum Khan, Naved Iqbal
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引用次数: 0

摘要

Phubbing是一种与智能手机使用相关的普遍社交行为,指的是用户为了使用手机而忽略了与之交谈的伙伴。尽管人们一直在探讨Phubbing与 "害怕错过"(FOMO)这一概念之间的联系,但现有文献的研究结果却表现出明显的不一致性。为了填补这一空白,本研究采用了系统综述和荟萃分析的方法,仔细研究了玩手机行为与 FOMO 之间错综复杂的关系。一项全面的系统性综述涵盖了 PubMed、Scopus、Web of Science、ProQuest 和 Google Scholar 等数据库,时间跨度长达 2023 年 12 月 10 日。最终的数据集包括 27 项符合条件的研究,涵盖了来自 15 个国家 20,415 名参与者的见解。我们使用纽卡斯尔-渥太华量表对研究质量进行了严格评估,并使用 R Studio 进行了细致的统计分析。结果显示,嗜睡行为与 FOMO 有显著的正相关性(效应大小[ES] = 0.43,95% CI:0.36,0.49,I2:97.5%,τ2:0.05)。使用 "修剪和填充 "法对已发现的发表偏倚进行校正后,又纳入了 16 项研究,从而加强了研究结果的稳健性。调节分析发现,地点(p < 0.01)、收入水平(p < 0.01)、抽样方法(p < 0.01)、phubbing 量表(p < 0.01)以及 FOMO 量表和类型(p < 0.01)对估计的关系有重大影响。单变量元回归凸显了样本量的重大影响(R2 = 11.81%,p < 0.01),而多变量元回归揭示了发表年份、研究质量评分、样本量、平均年龄和女性比例对估计关系的综合影响(k = 19,R2 = 52.85%,I2 = 93.78%,p < 0.05)。此外,通过 "leave-one-out "方法进行的事后影响分析为研究提供了更多深度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association of Phubbing Behavior and Fear of Missing Out: A Systematic Review and Meta-Analysis.

Phubbing, a pervasive social behavior linked to smartphone usage, involves users neglecting their conversation partners to engage with their phones. Despite consistent exploration of its association with the concept of fear of missing out (FOMO), findings in the existing literature exhibit notable inconsistency. To address this gap, this study employs a systematic review and meta-analysis to scrutinize the intricate relationship between phubbing behavior and FOMO. A comprehensive systematic review, spanning up to December 10, 2023, encompassed databases such as PubMed, Scopus, Web of Science, ProQuest, and Google Scholar. The resulting dataset comprised 27 eligible studies, incorporating insights from 20,415 participants across 15 countries. Rigorous evaluation of study quality was executed using the Newcastle Ottawa Scale, while statistical analyses were meticulously conducted using R Studio. Revealing a robust positive association, phubbing behavior was significantly linked to FOMO (effect size[ES] = 0.43, 95% CI: 0.36, 0.49, I2: 97.5%, τ2: 0.05). Correcting for detected publication bias using the Trim and Fill method, an additional 16 studies were included, fortifying the robustness of the findings. Moderation analysis uncovered significant influences of location (p < 0.01), income level (p < 0.01), sampling method (p < 0.01), phubbing scale (p < 0.01), and FOMO scale and type (p < 0.01) on the estimated relationship. Univariate meta-regression highlighted the substantial impact of sample size (R2 = 11.81%, p < 0.01), while multivariate meta-regression illuminated the combined effects of publication year, study quality score, sample size, mean age, and female proportion on the estimated relationship (k = 19, R2 = 52.85%, I2 = 93.78%, p < 0.05). Furthermore, post hoc influential analysis, conducted through the leave-one-out method, offered additional depth to the examination.

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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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