Digital detoxification is a conscious disconnection from all smartphone activities for a certain period of time, which has been undertaken as effective by researchers to improve well-being, but studies found inconsistent results, with a primary focus on negative well-being, thus necessitating a need to focus on the positive aspect. As a result, the current study conducted a systematic review and meta-analysis to assess digital detoxification and its influence on users subjective and psychological well-being (PWB). A comprehensive search (up to November 19, 2023) across databases such as PubMed, Scopus, Web of Science, Pro-Quest, and Google Search yielded a total of 26 eligible studies (18 for meta-analysis) comprising 8,147 participants (Mage = 25.20 years). The Studies' quality was assessed using Cochrane's updated Risk of Bias Tool, and statistical analysis was performed in R Studio. Digital detoxification was found to be effective in improving subjective well-being (SWB) (Standardized mean difference [SMD] = 0.21, 95% CI: 0.06, 0.34; p < 0.01, I2 = 73.6%, n = 14 papers), as well as PWB (SMD = 0.27, 95% CI: 0.09, 0.46; p < 0.05; I2 = 0.0%, n = 4 papers). Notably, we detected no publication bias but addressed funnel plot asymmetry using Trim & Fill. Moderation analysis revealed the impact of internet coverage, developmental status, location, intervention effectiveness, and risk of bias on the estimated effect size for SWB. Meta-regression highlighted the significant influence of mean age, and although no potential outliers were identified, influential plots are provided for transparency. Our findings consolidate the efficacy of digital detoxification, emphasizing the need for nuanced consideration of study factors. This study contributes to the ongoing discourse on digital well-being, offering valuable insights for researchers, practitioners, and policymakers.

中文翻译：

---

通过社交媒体用户的数字排毒改善幸福感：系统评价和荟萃分析。


数字排毒是在一段时间内有意识地断开与所有智能手机活动的联系，研究人员认为这是改善幸福感的有效方法，但研究发现结果不一致，主要关注消极的幸福感，因此需要关注积极的方面。因此，目前的研究进行了系统评价和荟萃分析，以评估数字排毒及其对用户主观和心理健康 （PWB） 的影响。在 PubMed、Scopus、Web of Science、Pro-Quest 和 Google Search 等数据库中进行全面搜索（截至 2023 年 11 月 19 日），共产生 26 项符合条件的研究（18 项用于荟萃分析），涉及 8,147 名参与者（Mage = 25.20 岁）。使用 Cochrane 更新的偏倚风险工具评估研究的质量，并在 R Studio 中进行统计分析。发现数字排毒可有效改善主观幸福感 （SWB） （标准化平均差 [SMD] = 0.21,95% CI：0.06,0.34;p < 0.01，I2 = 73.6%，n = 14 篇论文）以及 PWB（SMD = 0.27,95% CI：0.09,0.46;p < 0.05;I2 = 0.0%，n = 4 篇论文）。值得注意的是，我们没有检测到发表偏倚，但使用Trim & Fill解决了漏斗图的不对称性。适度分析揭示了互联网覆盖率、发育状况、位置、干预效果和偏倚风险对 SWB 估计效应大小的影响。Meta 回归强调了平均年龄的显着影响，虽然没有发现潜在的异常值，但提供了有影响力的图表以提高透明度。我们的研究结果巩固了数字排毒的功效，强调需要细致入微地考虑研究因素。 这项研究有助于正在进行的关于数字健康的讨论，为研究人员、从业者和政策制定者提供有价值的见解。