[目的/意义]通过对智能手机成瘾的相关实证研究文献进行梳理，探析其影响因素与调节变量，有助于深 入理解该行为产生的诱因、过程及后果，从而为该领域未来研究提供新的思考和启示。[方法/过程]将权重分析与 元分析结合进行综合量化分析，对国内外相关研究文献进行筛选与编码，将81个研究样本纳入分析范畴，通过异 质性、发表偏差、整体效应及调节效应检验，揭示智能手机成瘾影响因素及调节变量的作用效果。[结果/结论]智 能手机成瘾的影响因素包括人格特质因素、情感与认知因素以及习惯性使用与态度因素三类；自尊、自我控制、责 任心、领悟社会支持、宜人性和自我效能6个影响因素显著负向影响智能手机成瘾，包含错失焦虑、抑郁、焦虑和 智能手机使用频率等在内的19个影响因素与成瘾呈显著正相关；文化特征、被试群体以及用户性别等调节变量 可在一定程度上解释不同研究样本中某些影响因素与智能手机成瘾之间关系的异质性。28组变量关系中的15 个“最佳预测因素”可直接应用于指导实践，8个“潜力预测因素”还需要进一步的学术研究检验其对成瘾行为的解 释效力。研究结论可以在理论层面为该领域下一步研究提供启示，在实践层面为智能手机成瘾的预防干预及健 康引导提供有价值的参考。

[Purpose/significance] By sorting out the relevant empirical research literature on smartphone addiction and analyzing its influencing factors and regulatory variables, it is helpful to deeply understand the incentives, process? es and consequences of this behavior, so as to provide new thinking and inspiration for future research in this field. [Method/process] Weight-analysis and meta-analysis were combined to carry out a comprehensive quantitative analy? sis, through coding and selection of domestic and foreign empirical research literature on smartphone addiction, 81 re? search samples were included in the analysis category, using heterogeneity test, publication bias test, global effect test and moderating effect test, to reveal the effect of influence factors and moderating variables of smartphone addiction. [Result/conclusion] The influencing factors of smartphone addiction included three categories: personality factor, emo? tion, and cognition factor, and habitual use and attitude factor.Self-esteem, self-control, conscientiousness, perceived social support, agreeableness, and self-efficacy were significantly negatively correlated with smartphone addiction, a to? tal of 19 influencing factors such as missed anxiety, depression, anxiety, and smartphone use frequency were signifi? cantly positively correlated with smartphone addiction.Moderating variables such as cultural characteristics, subject groups and user gender can explain the heterogeneity of the relationship between some influencing factors and smart? phone addiction in different research samples to some extent. The 15 "best predictors" in the 28 groups of variable rela? tionships can be directly used to guide practice, and the 8 "potential predictors" need further academic research to test their explanatory power for addictive behavior. The conclusions of this study can provide enlightenment for the next re? search in this field at the theoretical level, and provide valuable implications for the prevention, intervention, and health guidance of smartphone addiction at the practical level.