Chen Yalei, Zhang Wenhai, Xu Xinhua, Wei Weihua
School of Mathematics and Physics, Yancheng Institute of Technology, Yancheng, Jiangsu, China.
Mental Health Center, Yancheng Institute of Technology, Yancheng, Jiangsu, China.
Medicine (Baltimore). 2025 Aug 8;104(32):e43689. doi: 10.1097/MD.0000000000043689.
Numerous studies have examined the relationship between mobile phone addiction (MPA) and subjective well-being (SWB). However, different studies have produced different conclusions, and the moderating effect on this relationship remains unclear. In this study, a 3-level meta-analysis was used for the first time to elucidate the relationship between MPA and SWB and explore the moderating variables that affect this relationship between the 2 variables.
This study performed a 3-level meta-analysis to evaluate the strength of the relationship between MPA and SWB through a quantitative synthesis of eligible studies published until October 2024.
Through a systematic literature search, 57 studies, 181 effect sizes, and 92,269 participants were obtained. The results revealed significant negative correlations between MPA and 3 SWB components: SWB (r = -0.298, P < .001), life satisfaction (LS) (r = -0.223, P < .001), and positive emotions (PE) (r = -0.115, P < .001), whereas a significant positive correlation was observed with negative emotions (NE) (r = 0.354, P < .001).Tests of the moderating effects indicated that the relationship between MPA and SWB was moderated by region (F(2, 59) = 5.187, P = .008), MPA measurement tool (F(2, 59) = 3.451, P = .038),SWB measurement tool (F(3, 58) = 8.540, P < .001), and NE measurement tool (F(2, 21) = 8.788, P = .002).
The findings showed that MPA in Chinese students was negatively correlated with SWB, LS, and PE, and positively correlated with NE. Moderator analysis also revealed the significance of the region, MPA measurement tool, SWB measurement tool, and NE measurement tool as moderating variables. This study contributes to an in-depth understanding of the relationship between MPA and SWB among Chinese students, which is of practical significance for Chinese students to conduct MPA intervention and improve their SWB.
众多研究探讨了手机成瘾(MPA)与主观幸福感(SWB)之间的关系。然而,不同研究得出了不同结论,且该关系的调节效应仍不明确。本研究首次采用三级荟萃分析来阐明MPA与SWB之间的关系,并探究影响这两个变量之间关系的调节变量。
本研究进行了三级荟萃分析,通过对截至2024年10月发表的符合条件的研究进行定量综合,以评估MPA与SWB之间关系的强度。
通过系统的文献检索,获得了57项研究、181个效应量和92269名参与者。结果显示,MPA与SWB的三个组成部分之间存在显著负相关:SWB(r = -0.298,P <.001)、生活满意度(LS)(r = -0.223,P <.001)和积极情绪(PE)(r = -0.115,P <.001),而与消极情绪(NE)存在显著正相关(r = 0.354,P <.001)。调节效应检验表明,MPA与SWB之间的关系受到地区(F(2, 59) = 5.187,P =.008)、MPA测量工具(F(2, 59) = 3.451,P =.038)、SWB测量工具(F(3, 58) = 8.540,P <.001)和NE测量工具(F(2, 21) = 8.788,P =.002)的调节。
研究结果表明,中国学生的MPA与SWB、LS和PE呈负相关,与NE呈正相关。调节分析还揭示了地区、MPA测量工具、SWB测量工具和NE测量工具作为调节变量的重要性。本研究有助于深入了解中国学生中MPA与SWB之间的关系,对中国学生进行MPA干预和提高其SWB具有实际意义。