{"title":"青少年孤独感与网络或智能手机成瘾的关系:系统回顾与元分析。","authors":"Meng-Wei Ge, Fei-Hong Hu, Yi-Jie Jia, Wen Tang, Wan-Qing Zhang, Dan-Yan Zhao, Wang-Qin Shen, Hong-Lin Chen","doi":"10.1177/00332941231180119","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background:</b> Loneliness is a common public health problem that influences people's physical and mental health. There is a high incidence of loneliness in adolescents. Some research suggested that smartphone or Internet addiction (SA or IA) may be a factor. But the relationship between loneliness and SA or IA is not completely clear among adolescents. We aim to estimate the correlation coefficient r between them. <b>Methods:</b> Databases, consisting of PubMed and Web of Science, were retrieved systematically for studies of the association between adolescents' loneliness and SA or IA. The Newcastle-Ottawa Scale was chosen as an assessment tool in this analysis. We estimated the correlation coefficient r between loneliness and SA or IA and drew a forest plot. Moreover, moderator analyses were also conducted to explore what leads to heterogeneity in our study. <b>Results:</b> 21 studies were finally included in our analysis with 27,843 samples. The pooled correlation coefficient r was 0.252 (95% confidence interval: [0.173, 0.329]; <i>p</i> < 0.001) with low heterogeneity (I<sup>2</sup> = 0.000%; Q = 23.616; <i>p</i> < 0.001), indicating a moderate positive association. The funnel plot indicated small publication bias. A one-study removal sensitivity analysis indicated there was no significant difference between these studies. Meta-regression indicated no significant difference between the results and age (Q = 11.94, df = 18, <i>p</i> = 0.8504). <b>Conclusions:</b> Our analysis indicated a moderate positive association between loneliness and SA or IA. The results may attract the attention of some experts who study adolescent psychological problems and behavioral problems and may provide ideas for their research in the future.</p>","PeriodicalId":21149,"journal":{"name":"Psychological Reports","volume":" ","pages":"1429-1451"},"PeriodicalIF":1.7000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Relationship Between Loneliness and Internet or Smartphone Addiction Among Adolescents: A Systematic Review and meta-Analysis.\",\"authors\":\"Meng-Wei Ge, Fei-Hong Hu, Yi-Jie Jia, Wen Tang, Wan-Qing Zhang, Dan-Yan Zhao, Wang-Qin Shen, Hong-Lin Chen\",\"doi\":\"10.1177/00332941231180119\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Background:</b> Loneliness is a common public health problem that influences people's physical and mental health. There is a high incidence of loneliness in adolescents. Some research suggested that smartphone or Internet addiction (SA or IA) may be a factor. But the relationship between loneliness and SA or IA is not completely clear among adolescents. We aim to estimate the correlation coefficient r between them. <b>Methods:</b> Databases, consisting of PubMed and Web of Science, were retrieved systematically for studies of the association between adolescents' loneliness and SA or IA. The Newcastle-Ottawa Scale was chosen as an assessment tool in this analysis. We estimated the correlation coefficient r between loneliness and SA or IA and drew a forest plot. Moreover, moderator analyses were also conducted to explore what leads to heterogeneity in our study. <b>Results:</b> 21 studies were finally included in our analysis with 27,843 samples. The pooled correlation coefficient r was 0.252 (95% confidence interval: [0.173, 0.329]; <i>p</i> < 0.001) with low heterogeneity (I<sup>2</sup> = 0.000%; Q = 23.616; <i>p</i> < 0.001), indicating a moderate positive association. The funnel plot indicated small publication bias. A one-study removal sensitivity analysis indicated there was no significant difference between these studies. Meta-regression indicated no significant difference between the results and age (Q = 11.94, df = 18, <i>p</i> = 0.8504). <b>Conclusions:</b> Our analysis indicated a moderate positive association between loneliness and SA or IA. The results may attract the attention of some experts who study adolescent psychological problems and behavioral problems and may provide ideas for their research in the future.</p>\",\"PeriodicalId\":21149,\"journal\":{\"name\":\"Psychological Reports\",\"volume\":\" \",\"pages\":\"1429-1451\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Psychological Reports\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1177/00332941231180119\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/6/1 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychological Reports","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/00332941231180119","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/6/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
背景:孤独感是影响人们身心健康的常见公共卫生问题。青少年中孤独的发生率很高。一些研究表明,智能手机或网络成瘾(SA或IA)可能是一个因素。但在青少年中,孤独感与SA或IA之间的关系尚不完全清楚。我们的目的是估计它们之间的相关系数r。方法:系统检索PubMed和Web of Science数据库,研究青少年孤独感与SA或IA之间的关系。纽卡斯尔-渥太华量表被选为本分析的评估工具。我们估计了孤独与SA或IA之间的相关系数r,并绘制了森林图。此外,我们还进行了调节因子分析,以探讨导致我们研究异质性的原因。结果:21项研究最终纳入我们的分析,共27,843个样本。合并相关系数r为0.252(95%置信区间:[0.173,0.329];p < 0.001),异质性低(I2 = 0.000%;Q = 23.616;P < 0.001),表明中度正相关。漏斗图显示发表偏倚较小。一项研究的去除敏感性分析表明,这些研究之间没有显著差异。meta回归显示结果与年龄无显著差异(Q = 11.94, df = 18, p = 0.8504)。结论:我们的分析表明孤独感与SA或IA之间存在适度的正相关。这一结果可能会引起一些研究青少年心理问题和行为问题的专家的注意,并可能为他们今后的研究提供思路。
The Relationship Between Loneliness and Internet or Smartphone Addiction Among Adolescents: A Systematic Review and meta-Analysis.
Background: Loneliness is a common public health problem that influences people's physical and mental health. There is a high incidence of loneliness in adolescents. Some research suggested that smartphone or Internet addiction (SA or IA) may be a factor. But the relationship between loneliness and SA or IA is not completely clear among adolescents. We aim to estimate the correlation coefficient r between them. Methods: Databases, consisting of PubMed and Web of Science, were retrieved systematically for studies of the association between adolescents' loneliness and SA or IA. The Newcastle-Ottawa Scale was chosen as an assessment tool in this analysis. We estimated the correlation coefficient r between loneliness and SA or IA and drew a forest plot. Moreover, moderator analyses were also conducted to explore what leads to heterogeneity in our study. Results: 21 studies were finally included in our analysis with 27,843 samples. The pooled correlation coefficient r was 0.252 (95% confidence interval: [0.173, 0.329]; p < 0.001) with low heterogeneity (I2 = 0.000%; Q = 23.616; p < 0.001), indicating a moderate positive association. The funnel plot indicated small publication bias. A one-study removal sensitivity analysis indicated there was no significant difference between these studies. Meta-regression indicated no significant difference between the results and age (Q = 11.94, df = 18, p = 0.8504). Conclusions: Our analysis indicated a moderate positive association between loneliness and SA or IA. The results may attract the attention of some experts who study adolescent psychological problems and behavioral problems and may provide ideas for their research in the future.