Li Shunyu, Xu Mengmeng, Zhang Yuxuan, Wang Xiaotong
Center for Higher Education Developmet Research in Xinjiang, Xinjiang Normal University, Urumqi, Xinjiang Uygur Autonomous Region, China.
Department of Social and Behavioural Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Front Psychol. 2023 Jan 16;13:1084424. doi: 10.3389/fpsyg.2022.1084424. eCollection 2022.
In recent years, the relationship between academic burnout (AB) and problematic mobile phone use (PMPU) has become the hot issue of scholars, and a lot of related research has been carried out, but the results are different. Most studies showed that there was a significant positive correlation between AB and PMPU. However, some studies showed that the relationship between AB and PMPU was not significant. While this study aimed at exploring the relationship between AB and PMPU, as well as the influence of some moderating factors (region, age, gender, publication year, the measurement instrument) on them.
According to the searching process for studies of PRISMA, we searched the related studies on AB and PMPU in Mainland China from January 2012 to November 2022 from CNKI, Wanfang Data, Chongqing VIP Information Co., Ltd. (VIP), Baidu scholar, ProQuest dissertations, Taylor & Francis, Springer, Web of Science, Google Scholar, EBSCO and PsyclNFO. Eventually, 50 studies were included in the meta-analysis, involving 38,488 subjects, with the sample size ranging from 193 to 2,260. CMA 3.0 was used to analyze the overall effect and test the moderating effect.
The result shows that the relationship between AB and PMPU can be considered as a moderate correlation ( = 0.414, 95%CI [0.384, 0.443]), and moderator analysis shows that the relationship between AB and PMPU was moderated by the measurement instrument and publication year.
Specifically, when the Mobile Phone Addiction Tendency Scale and the Smartphone Addiction Scale for College Students were used as PMPU measurement tools, the correlation coefficients between AB and PMPU were higher. When the publication year was used as a moderating variable, the relationship between AB and PMPU increased over the years. : https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022347277, identifier PROSPERO CRD42022347277.
近年来,学术倦怠(AB)与问题手机使用(PMPU)之间的关系已成为学者们的热点问题,并且已经开展了许多相关研究,但结果各不相同。大多数研究表明,AB与PMPU之间存在显著正相关。然而,一些研究表明,AB与PMPU之间的关系并不显著。本研究旨在探讨AB与PMPU之间的关系,以及一些调节因素(地区、年龄、性别、发表年份、测量工具)对它们的影响。
根据PRISMA研究的检索过程,我们于2012年1月至2022年11月在中国大陆的中国知网、万方数据、重庆维普资讯有限公司(维普)、百度学术、ProQuest学位论文、泰勒与弗朗西斯、施普林格、科学网、谷歌学术、EBSCO和PsyclNFO中检索了关于AB和PMPU的相关研究。最终,50项研究被纳入荟萃分析,涉及38488名受试者,样本量从193到2260不等。使用CMA 3.0分析总体效应并检验调节效应。
结果表明,AB与PMPU之间的关系可被视为中等程度的相关性( = 0.414,95%CI [0.384, 0.443]),调节分析表明,AB与PMPU之间的关系受到测量工具和发表年份的调节。
具体而言,当使用《手机成瘾倾向量表》和《大学生智能手机成瘾量表》作为PMPU测量工具时,AB与PMPU之间的相关系数更高。当以发表年份作为调节变量时,AB与PMPU之间的关系多年来有所增加。:https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022347277,标识符PROSPERO CRD42022347277 。