1中国人民大学教育学院, 北京 100872
2中国人民大学心理研究所, 北京 100872
收稿日期:
2020-08-11出版日期:
2021-03-25发布日期:
2021-01-27基金资助:
* 中国人民大学2019年度拔尖创新人才培育资助计划成果The relationship between social media use and fear of missing out: A meta-analysis
ZHANG Yali1, LI Sen1, YU Guoliang21School of Education, Renmin University of China, Beijing, 100872, China
2Institute of Psychology, Renmin University of China, Beijing, 100872, China
Received:
2020-08-11Online:
2021-03-25Published:
2021-01-27摘要/Abstract
摘要: 社交媒体使用与错失焦虑均是当下生活中较为常见的现象, 诸多研究探讨了两者间的内在联系, 但研究结果却存在很大差异。为明确两者之间的整体关系, 以及产生分歧的原因, 对检索后获得的65项研究(70个独立样本)使用随机效应模型进行了元分析。结果发现:社交媒体使用与错失焦虑存在显著正相关(r = 0.38, 95% CI [0.34, 0.41]); 二者的相关强度受社交媒体使用测量指标和社交媒体类型的调节, 但不受性别、年龄、错失焦虑测量工具和个体主义指数的调节。结果一定程度上澄清了大众传播的社会认知理论和数字恰到好处假说的争论, 表明社交媒体使用程度越高的人往往也会伴随着较高水平的错失焦虑。防止社交媒体过度使用, 尤其是引导大众合理使用以图像为中心并且开放度较高的社交媒体有助于错失焦虑的缓解。
图/表 4
图1文献纳入流程
图1文献纳入流程
表1纳入分析的原始研究的基本资料
第一作者 | 年份 | 国家 | 个体主义指数 | 均龄 | 相关 系数 | 被试 人数 | 男性比 | 错失焦虑 测量工具 | 社交媒 体类型 | 社交媒体使用测量指标 | 文献质量评价 |
---|---|---|---|---|---|---|---|---|---|---|---|
Przybylski | 2013 | 英国 | 89 | 43.21 | 0.40 | 2079 | 0.50 | FoMOs-P | 一般 | 使用强度 | 8 |
Wegmann | 2017 | 不确定 | 无 | 23.43 | 0.39 | 270 | 0.30 | FoMOs-W | 一般 | 使用成瘾 | 6 |
B?achnio | 2018 | 波兰 | 60 | 22.22 | 0.45 | 360 | 0.36 | FoMOs-P | 使用成瘾 | 6 | |
Tomczyk | 2018 | 波黑 | 22 | 13.30 | 0.54 | 717 | 0.53 | 其它 | 一般 | 使用强度 | 6 |
2018 | 波黑 | 22 | 13.30 | 0.37 | 717 | 0.53 | 其它 | 一般 | 其它 | 6 | |
2018 | 波黑 | 22 | 13.30 | 0.53 | 717 | 0.53 | 其它 | 一般 | 使用成瘾 | 5 | |
2018 | 波黑 | 22 | 13.30 | 0.56 | 717 | 0.53 | 其它 | 一般 | 使用成瘾 | 5 | |
Chai | 2019 | 中国 | 20 | 14.03 | 0.21 | 1319 | 0.47 | 其它 | Qzone | 使用强度 | 9 |
Dempsey | 2019 | 美国 | 91 | 20.03 | 0.32 | 291 | 0.42 | FoMOs-P | 使用成瘾 | 9 | |
2019 | 美国 | 91 | 20.03 | 0.19 | 291 | 0.42 | FoMOs-P | 使用频率 | 9 | ||
Alt | 2018 | 以色列 | 54 | 24.10 | 0.56 | 290 | 0.15 | 其它 | 一般 | 其它 | 6 |
Balta | 2020 | 土耳其 | 37 | 17.15 | 0.57 | 423 | 0.47 | FoMOs-W | 使用成瘾 | 7 | |
Liu | 2020 | 中国 | 20 | 18.83 | 0.40 | 465 | 0.31 | FoMOs-P | 一般 | 使用成瘾 | 7 |
Riordan | 2020 | 新西兰 | 79 | 19.60 | 0.28 | 330 | 0.26 | FoMOs-P | 使用强度 | 7 | |
2020 | 新西兰 | 79 | 19.60 | 0.21 | 330 | 0.26 | 其它 | 使用强度 | 6 | ||
2020 | 新西兰 | 79 | 20.90 | 0.31 | 90 | 0.14 | FoMOs-P | 使用强度 | 7 | ||
2020 | 新西兰 | 79 | 20.90 | 0.29 | 90 | 0.14 | 其它 | 使用强度 | 6 | ||
Yin | 2019 | 中国 | 20 | 16.80 | 0.41 | 704 | 0.43 | FoMOs-P | 一般 | 使用成瘾 | 6 |
Baker | 2016 | 美国 | 91 | 21.98 | 0.30 | 386 | 0.19 | FoMOs-P | 一般 | 使用时间 | 6 |
Sharma | 2015 | 美国 | 91 | 无 | 0.63 | 129 | 0.47 | 其它 | 使用成瘾 | 1 | |
2015 | 美国 | 91 | 20.79 | 0.40 | 398 | 0.49 | 其它 | 使用成瘾 | 4 | ||
Perrone | 2016 | 美国 | 91 | 无 | 0.14 | 961 | 0.55 | FoMOs-P | 一般 | 使用强度 | 3 |
Chambers | 2018 | 美国 | 91 | 23.57 | 0.20 | 152 | 0.30 | FoMOs-P | 一般 | 使用强度 | 5 |
2018 | 美国 | 91 | 23.57 | 0.20 | 152 | 0.30 | FoMOs-P | 一般 | 其它 | 5 | |
Gezgin | 2018 | 土耳其 | 37 | 16.22 | 0.44 | 161 | 0.58 | FoMOs-P | 一般 | 使用时间 | 5 |
2018 | 土耳其 | 37 | 16.22 | -0.14 | 161 | 0.58 | FoMOs-P | 一般 | 使用频率 | 5 | |
Franchina | 2018 | 比利时 | 75 | 14.87 | 0.16 | 2663 | 0.43 | 其它 | 使用频率 | 6 | |
2018 | 比利时 | 75 | 14.87 | 0.17 | 2663 | 0.43 | 其它 | Snapchat | 使用频率 | 6 | |
2018 | 比利时 | 75 | 14.87 | 0.00 | 2663 | 0.43 | 其它 | You Tube | 使用频率 | 6 | |
2018 | 比利时 | 75 | 14.87 | 0.06 | 2663 | 0.43 | 其它 | 使用频率 | 6 | ||
Casale | 2020 | 意大利 | 76 | 23.02 | 0.49 | 239 | 0.40 | FoMOs-P | 一般 | 使用成瘾 | 7 |
Tunc-Aksan | 2019 | 土耳其 | 37 | 无 | 0.43 | 296 | 0.54 | FoMOs-P | 一般 | 使用成瘾 | 5 |
Beyens | 2016 | 比利时 | 75 | 16.41 | 0.50 | 402 | 0.43 | 其它 | 使用强度 | 6 | |
Barry | 2017 | 美国 | 91 | 15.27 | 0.35 | 113 | 0.49 | FoMOs-P | 一般 | 使用频率 | 5 |
Blackwell | 2017 | 美国 | 91 | 22.15 | 0.56 | 207 | 0.24 | FoMOs-P | 一般 | 使用成瘾 | 7 |
2017 | 美国 | 91 | 22.15 | 0.36 | 207 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 | |
Buglass | 2017 | 英国 | 89 | 无 | 0.25 | 489 | 0.51 | FoMOs-P | 使用时间 | 8 | |
Stead | 2017 | 英国 | 89 | 无 | 0.47 | 495 | 0.31 | FoMOs-P | 一般 | 使用成瘾 | 9 |
Bailey | 2018 | 不确定 | 无 | 无 | 0.01 | 296 | 0.33 | 其它 | 一般 | 其它 | 7 |
Casale | 2018 | 意大利 | 76 | 无 | 0.44 | 263 | 1.00 | FoMOs-P | 一般 | 使用成瘾 | 3 |
2018 | 意大利 | 76 | 无 | 0.47 | 316 | 0.00 | FoMOs-P | 一般 | 使用成瘾 | 3 | |
Scott | 2018 | 英国 | 89 | 14.00 | 0.36 | 101 | 0.44 | FoMOs-P | 一般 | 其它 | 9 |
Burnell | 2019 | 美国 | 91 | 无 | 0.17 | 717 | 0.31 | FoMOs-P | 一般 | 其它 | 8 |
Rogers | 2019 | 美国 | 91 | 19.81 | 0.21 | 97 | 0.38 | FoMOs-P | 一般 | 使用频率 | 8 |
Reer | 2019 | 德国 | 67 | 27.65 | 0.30 | 1865 | 0.49 | FoMOs-P | 一般 | 使用强度 | 9 |
Cargill | 2019 | 英国 | 89 | 33.01 | 0.57 | 224 | 0.12 | FoMOs-P | 一般 | 使用成瘾 | 1 |
Fuster | 2017 | 不确定 | 无 | 15.47 | 0.32 | 5280 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 |
2017 | 不确定 | 无 | 15.47 | 0.43 | 5280 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 | |
第一作者 | 年份 | 国家 | 个体主义指数 | 均龄 | 相关 系数 | 被试 人数 | 男性比 | 错失焦虑 测量工具 | 社交媒 体类型 | 社交媒体使用测量指标 | 文献质量评价 |
Can | 2019 | 土耳其 | 37 | 33.65 | 0.43 | 371 | 0.40 | FoMOs-P | 使用成瘾 | 2 | |
2019 | 土耳其 | 37 | 33.65 | 0.24 | 371 | 0.40 | FoMOs-P | 一般 | 使用时间 | 3 | |
Pontes | 2018 | 不确定 | 无 | 无 | 0.68 | 511 | 0.35 | FoMOs-P | 一般 | 使用成瘾 | 9 |
Tra? | 2019 | 土耳其 | 37 | 21.34 | 0.27 | 608 | 0.28 | FoMOs-P | 使用强度 | 3 | |
2019 | 土耳其 | 37 | 21.34 | 0.04 | 608 | 0.28 | FoMOs-P | 使用时间 | 2 | ||
Vallejos- Flores | 2018 | 秘鲁 | 16 | 20.74 | 0.60 | 510 | 0.46 | FoMOs-P | 使用成瘾 | 4 | |
Reyes | 2018 | 菲律宾 | 32 | 25.22 | 0.41 | 1060 | 0.39 | FoMOs-P | 一般 | 使用时间 | 5 |
Huguenel | 2017 | 美国 | 91 | 18.93 | 0.30 | 296 | 0.15 | FoMOs-P | 使用强度 | 7 | |
2017 | 美国 | 91 | 18.93 | 0.17 | 296 | 0.15 | FoMOs-P | 一般 | 使用时间 | 6 | |
李巾英 | 2019 | 中国 | 20 | 21.00 | 0.25 | 443 | 0.42 | 其它 | 一般 | 其它 | 7 |
李琦 | 2019a | 中国 | 20 | 22.00 | 0.31 | 228 | 0.43 | FoMOs-L | 一般 | 使用强度 | 5 |
马建苓 | 2019 | 中国 | 20 | 18.80 | 0.42 | 493 | 0.32 | FoMOs-P | 一般 | 使用成瘾 | 10 |
2019 | 中国 | 20 | 18.80 | 0.29 | 493 | 0.32 | FoMOs-P | 一般 | 使用强度 | 9 | |
李琦 | 2019b | 中国 | 20 | 无 | 0.23 | 584 | 0.46 | FoMOs-L | 一般 | 其它 | 6 |
张永欣 | 2019 | 中国 | 20 | 19.56 | 0.40 | 526 | 0.48 | FoMOs-P | 一般 | 使用成瘾 | 9 |
肖曼曼 | 2019 | 中国 | 20 | 21.90 | 0.40 | 546 | 0.34 | FoMOs-W | 一般 | 使用强度 | 6 |
姜永志 | 2018 | 中国 | 20 | 无 | 0.42 | 1804 | 0.44 | 其它 | 一般 | 使用成瘾 | 9 |
魏祺 | 2018 | 中国 | 20 | 无 | 0.43 | 526 | 1.00 | FoMOs-P | 一般 | 使用成瘾 | 1 |
2018 | 中国 | 20 | 无 | 0.17 | 636 | 0.00 | FoMOs-P | 一般 | 使用成瘾 | 1 | |
张亚利 | 2020 | 中国 | 20 | 21.63 | 0.33 | 466 | 0.47 | FoMOs-L | 一般 | 使用成瘾 | 8 |
王梦云 | 2020 | 中国 | 20 | 14.71 | 0.35 | 1238 | 0.45 | FoMOs-P | 一般 | 使用成瘾 | 7 |
任静 | 2019 | 中国 | 20 | 无 | 0.17 | 427 | 0.50 | 其它 | 一般 | 使用强度 | 8 |
Li | 2020 | 中国 | 20 | 20.10 | 0.40 | 2017 | 0.50 | FoMOs-W | 一般 | 使用强度 | 8 |
Fang | 2020 | 中国 | 20 | 19.60 | 0.45 | 501 | 0.29 | FoMOs-P | 一般 | 使用成瘾 | 6 |
Moore | 2020 | 美国 | 91 | 无 | 0.43 | 156 | 0.44 | FoMOs-P | 一般 | 使用成瘾 | 7 |
Sheldon | 2020 | 美国 | 91 | 23.35 | 0.34 | 337 | 0.42 | FoMOs-P | 使用成瘾 | 5 | |
2020 | 美国 | 91 | 23.35 | 0.43 | 337 | 0.42 | FoMOs-P | 使用成瘾 | 5 | ||
2020 | 美国 | 91 | 23.35 | 0.40 | 337 | 0.42 | FoMOs-P | Snapchat | 使用成瘾 | 5 | |
Mueller | 2020 | 德国 | 67 | 22.00 | 0.50 | 226 | 0.40 | 其它 | 一般 | 使用成瘾 | 7 |
Rozgonjuk | 2020 | 不确定 | 无 | 34.49 | 0.46 | 335 | 0.42 | FoMOs-P | 使用成瘾 | 4 | |
2020 | 不确定 | 无 | 29.04 | 0.26 | 136 | 0.38 | FoMOs-P | Snapchat | 使用成瘾 | 4 | |
Fabris | 2020 | 意大利 | 76 | 13.50 | 0.48 | 472 | 0.50 | FoMOs-P | 一般 | 使用成瘾 | 6 |
Lai | 2016 | 意大利 | 76 | 24.10 | 0.60 | 20 | 0.55 | FoMOs-P | 一般 | 使用强度 | 3 |
李静 | 2020 | 中国 | 20 | 15.02 | 0.75 | 1081 | 0.49 | FoMOs-L | 一般 | 使用成瘾 | 7 |
胡光友 | 2020 | 中国 | 20 | 0.42 | 1092 | 0.33 | FoMOs-L | 一般 | 使用成瘾 | 5 | |
高霞 | 2019 | 中国 | 20 | 16.40 | 0.28 | 465 | 0.57 | FoMOs-P | 一般 | 其它 | 5 |
Lee | 2020 | 中国 | 20 | 36.10 | 0.16 | 259 | 无 | 其它 | 一般 | 使用时间 | 8 |
Classen | 2020 | 新西兰 | 79 | 无 | 0.33 | 218 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 |
?ztürk | 2020 | 土耳其 | 37 | 21.07 | 0.23 | 141 | 0.45 | FoMOs-P | 一般 | 其它 | 2 |
2020 | 土耳其 | 37 | 21.07 | 0.27 | 141 | 0.45 | FoMOs-P | 一般 | 其它 | 3 | |
Munawaroh | 2019 | 印尼 | 14 | 无 | 0.57 | 106 | 0.00 | FoMOs-P | 使用成瘾 | 1 | |
Zhang | 2020 | 美国 | 91 | 无 | 0.27 | 236 | 无 | 其它 | 一般 | 使用强度 | 6 |
表1纳入分析的原始研究的基本资料
第一作者 | 年份 | 国家 | 个体主义指数 | 均龄 | 相关 系数 | 被试 人数 | 男性比 | 错失焦虑 测量工具 | 社交媒 体类型 | 社交媒体使用测量指标 | 文献质量评价 |
---|---|---|---|---|---|---|---|---|---|---|---|
Przybylski | 2013 | 英国 | 89 | 43.21 | 0.40 | 2079 | 0.50 | FoMOs-P | 一般 | 使用强度 | 8 |
Wegmann | 2017 | 不确定 | 无 | 23.43 | 0.39 | 270 | 0.30 | FoMOs-W | 一般 | 使用成瘾 | 6 |
B?achnio | 2018 | 波兰 | 60 | 22.22 | 0.45 | 360 | 0.36 | FoMOs-P | 使用成瘾 | 6 | |
Tomczyk | 2018 | 波黑 | 22 | 13.30 | 0.54 | 717 | 0.53 | 其它 | 一般 | 使用强度 | 6 |
2018 | 波黑 | 22 | 13.30 | 0.37 | 717 | 0.53 | 其它 | 一般 | 其它 | 6 | |
2018 | 波黑 | 22 | 13.30 | 0.53 | 717 | 0.53 | 其它 | 一般 | 使用成瘾 | 5 | |
2018 | 波黑 | 22 | 13.30 | 0.56 | 717 | 0.53 | 其它 | 一般 | 使用成瘾 | 5 | |
Chai | 2019 | 中国 | 20 | 14.03 | 0.21 | 1319 | 0.47 | 其它 | Qzone | 使用强度 | 9 |
Dempsey | 2019 | 美国 | 91 | 20.03 | 0.32 | 291 | 0.42 | FoMOs-P | 使用成瘾 | 9 | |
2019 | 美国 | 91 | 20.03 | 0.19 | 291 | 0.42 | FoMOs-P | 使用频率 | 9 | ||
Alt | 2018 | 以色列 | 54 | 24.10 | 0.56 | 290 | 0.15 | 其它 | 一般 | 其它 | 6 |
Balta | 2020 | 土耳其 | 37 | 17.15 | 0.57 | 423 | 0.47 | FoMOs-W | 使用成瘾 | 7 | |
Liu | 2020 | 中国 | 20 | 18.83 | 0.40 | 465 | 0.31 | FoMOs-P | 一般 | 使用成瘾 | 7 |
Riordan | 2020 | 新西兰 | 79 | 19.60 | 0.28 | 330 | 0.26 | FoMOs-P | 使用强度 | 7 | |
2020 | 新西兰 | 79 | 19.60 | 0.21 | 330 | 0.26 | 其它 | 使用强度 | 6 | ||
2020 | 新西兰 | 79 | 20.90 | 0.31 | 90 | 0.14 | FoMOs-P | 使用强度 | 7 | ||
2020 | 新西兰 | 79 | 20.90 | 0.29 | 90 | 0.14 | 其它 | 使用强度 | 6 | ||
Yin | 2019 | 中国 | 20 | 16.80 | 0.41 | 704 | 0.43 | FoMOs-P | 一般 | 使用成瘾 | 6 |
Baker | 2016 | 美国 | 91 | 21.98 | 0.30 | 386 | 0.19 | FoMOs-P | 一般 | 使用时间 | 6 |
Sharma | 2015 | 美国 | 91 | 无 | 0.63 | 129 | 0.47 | 其它 | 使用成瘾 | 1 | |
2015 | 美国 | 91 | 20.79 | 0.40 | 398 | 0.49 | 其它 | 使用成瘾 | 4 | ||
Perrone | 2016 | 美国 | 91 | 无 | 0.14 | 961 | 0.55 | FoMOs-P | 一般 | 使用强度 | 3 |
Chambers | 2018 | 美国 | 91 | 23.57 | 0.20 | 152 | 0.30 | FoMOs-P | 一般 | 使用强度 | 5 |
2018 | 美国 | 91 | 23.57 | 0.20 | 152 | 0.30 | FoMOs-P | 一般 | 其它 | 5 | |
Gezgin | 2018 | 土耳其 | 37 | 16.22 | 0.44 | 161 | 0.58 | FoMOs-P | 一般 | 使用时间 | 5 |
2018 | 土耳其 | 37 | 16.22 | -0.14 | 161 | 0.58 | FoMOs-P | 一般 | 使用频率 | 5 | |
Franchina | 2018 | 比利时 | 75 | 14.87 | 0.16 | 2663 | 0.43 | 其它 | 使用频率 | 6 | |
2018 | 比利时 | 75 | 14.87 | 0.17 | 2663 | 0.43 | 其它 | Snapchat | 使用频率 | 6 | |
2018 | 比利时 | 75 | 14.87 | 0.00 | 2663 | 0.43 | 其它 | You Tube | 使用频率 | 6 | |
2018 | 比利时 | 75 | 14.87 | 0.06 | 2663 | 0.43 | 其它 | 使用频率 | 6 | ||
Casale | 2020 | 意大利 | 76 | 23.02 | 0.49 | 239 | 0.40 | FoMOs-P | 一般 | 使用成瘾 | 7 |
Tunc-Aksan | 2019 | 土耳其 | 37 | 无 | 0.43 | 296 | 0.54 | FoMOs-P | 一般 | 使用成瘾 | 5 |
Beyens | 2016 | 比利时 | 75 | 16.41 | 0.50 | 402 | 0.43 | 其它 | 使用强度 | 6 | |
Barry | 2017 | 美国 | 91 | 15.27 | 0.35 | 113 | 0.49 | FoMOs-P | 一般 | 使用频率 | 5 |
Blackwell | 2017 | 美国 | 91 | 22.15 | 0.56 | 207 | 0.24 | FoMOs-P | 一般 | 使用成瘾 | 7 |
2017 | 美国 | 91 | 22.15 | 0.36 | 207 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 | |
Buglass | 2017 | 英国 | 89 | 无 | 0.25 | 489 | 0.51 | FoMOs-P | 使用时间 | 8 | |
Stead | 2017 | 英国 | 89 | 无 | 0.47 | 495 | 0.31 | FoMOs-P | 一般 | 使用成瘾 | 9 |
Bailey | 2018 | 不确定 | 无 | 无 | 0.01 | 296 | 0.33 | 其它 | 一般 | 其它 | 7 |
Casale | 2018 | 意大利 | 76 | 无 | 0.44 | 263 | 1.00 | FoMOs-P | 一般 | 使用成瘾 | 3 |
2018 | 意大利 | 76 | 无 | 0.47 | 316 | 0.00 | FoMOs-P | 一般 | 使用成瘾 | 3 | |
Scott | 2018 | 英国 | 89 | 14.00 | 0.36 | 101 | 0.44 | FoMOs-P | 一般 | 其它 | 9 |
Burnell | 2019 | 美国 | 91 | 无 | 0.17 | 717 | 0.31 | FoMOs-P | 一般 | 其它 | 8 |
Rogers | 2019 | 美国 | 91 | 19.81 | 0.21 | 97 | 0.38 | FoMOs-P | 一般 | 使用频率 | 8 |
Reer | 2019 | 德国 | 67 | 27.65 | 0.30 | 1865 | 0.49 | FoMOs-P | 一般 | 使用强度 | 9 |
Cargill | 2019 | 英国 | 89 | 33.01 | 0.57 | 224 | 0.12 | FoMOs-P | 一般 | 使用成瘾 | 1 |
Fuster | 2017 | 不确定 | 无 | 15.47 | 0.32 | 5280 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 |
2017 | 不确定 | 无 | 15.47 | 0.43 | 5280 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 | |
第一作者 | 年份 | 国家 | 个体主义指数 | 均龄 | 相关 系数 | 被试 人数 | 男性比 | 错失焦虑 测量工具 | 社交媒 体类型 | 社交媒体使用测量指标 | 文献质量评价 |
Can | 2019 | 土耳其 | 37 | 33.65 | 0.43 | 371 | 0.40 | FoMOs-P | 使用成瘾 | 2 | |
2019 | 土耳其 | 37 | 33.65 | 0.24 | 371 | 0.40 | FoMOs-P | 一般 | 使用时间 | 3 | |
Pontes | 2018 | 不确定 | 无 | 无 | 0.68 | 511 | 0.35 | FoMOs-P | 一般 | 使用成瘾 | 9 |
Tra? | 2019 | 土耳其 | 37 | 21.34 | 0.27 | 608 | 0.28 | FoMOs-P | 使用强度 | 3 | |
2019 | 土耳其 | 37 | 21.34 | 0.04 | 608 | 0.28 | FoMOs-P | 使用时间 | 2 | ||
Vallejos- Flores | 2018 | 秘鲁 | 16 | 20.74 | 0.60 | 510 | 0.46 | FoMOs-P | 使用成瘾 | 4 | |
Reyes | 2018 | 菲律宾 | 32 | 25.22 | 0.41 | 1060 | 0.39 | FoMOs-P | 一般 | 使用时间 | 5 |
Huguenel | 2017 | 美国 | 91 | 18.93 | 0.30 | 296 | 0.15 | FoMOs-P | 使用强度 | 7 | |
2017 | 美国 | 91 | 18.93 | 0.17 | 296 | 0.15 | FoMOs-P | 一般 | 使用时间 | 6 | |
李巾英 | 2019 | 中国 | 20 | 21.00 | 0.25 | 443 | 0.42 | 其它 | 一般 | 其它 | 7 |
李琦 | 2019a | 中国 | 20 | 22.00 | 0.31 | 228 | 0.43 | FoMOs-L | 一般 | 使用强度 | 5 |
马建苓 | 2019 | 中国 | 20 | 18.80 | 0.42 | 493 | 0.32 | FoMOs-P | 一般 | 使用成瘾 | 10 |
2019 | 中国 | 20 | 18.80 | 0.29 | 493 | 0.32 | FoMOs-P | 一般 | 使用强度 | 9 | |
李琦 | 2019b | 中国 | 20 | 无 | 0.23 | 584 | 0.46 | FoMOs-L | 一般 | 其它 | 6 |
张永欣 | 2019 | 中国 | 20 | 19.56 | 0.40 | 526 | 0.48 | FoMOs-P | 一般 | 使用成瘾 | 9 |
肖曼曼 | 2019 | 中国 | 20 | 21.90 | 0.40 | 546 | 0.34 | FoMOs-W | 一般 | 使用强度 | 6 |
姜永志 | 2018 | 中国 | 20 | 无 | 0.42 | 1804 | 0.44 | 其它 | 一般 | 使用成瘾 | 9 |
魏祺 | 2018 | 中国 | 20 | 无 | 0.43 | 526 | 1.00 | FoMOs-P | 一般 | 使用成瘾 | 1 |
2018 | 中国 | 20 | 无 | 0.17 | 636 | 0.00 | FoMOs-P | 一般 | 使用成瘾 | 1 | |
张亚利 | 2020 | 中国 | 20 | 21.63 | 0.33 | 466 | 0.47 | FoMOs-L | 一般 | 使用成瘾 | 8 |
王梦云 | 2020 | 中国 | 20 | 14.71 | 0.35 | 1238 | 0.45 | FoMOs-P | 一般 | 使用成瘾 | 7 |
任静 | 2019 | 中国 | 20 | 无 | 0.17 | 427 | 0.50 | 其它 | 一般 | 使用强度 | 8 |
Li | 2020 | 中国 | 20 | 20.10 | 0.40 | 2017 | 0.50 | FoMOs-W | 一般 | 使用强度 | 8 |
Fang | 2020 | 中国 | 20 | 19.60 | 0.45 | 501 | 0.29 | FoMOs-P | 一般 | 使用成瘾 | 6 |
Moore | 2020 | 美国 | 91 | 无 | 0.43 | 156 | 0.44 | FoMOs-P | 一般 | 使用成瘾 | 7 |
Sheldon | 2020 | 美国 | 91 | 23.35 | 0.34 | 337 | 0.42 | FoMOs-P | 使用成瘾 | 5 | |
2020 | 美国 | 91 | 23.35 | 0.43 | 337 | 0.42 | FoMOs-P | 使用成瘾 | 5 | ||
2020 | 美国 | 91 | 23.35 | 0.40 | 337 | 0.42 | FoMOs-P | Snapchat | 使用成瘾 | 5 | |
Mueller | 2020 | 德国 | 67 | 22.00 | 0.50 | 226 | 0.40 | 其它 | 一般 | 使用成瘾 | 7 |
Rozgonjuk | 2020 | 不确定 | 无 | 34.49 | 0.46 | 335 | 0.42 | FoMOs-P | 使用成瘾 | 4 | |
2020 | 不确定 | 无 | 29.04 | 0.26 | 136 | 0.38 | FoMOs-P | Snapchat | 使用成瘾 | 4 | |
Fabris | 2020 | 意大利 | 76 | 13.50 | 0.48 | 472 | 0.50 | FoMOs-P | 一般 | 使用成瘾 | 6 |
Lai | 2016 | 意大利 | 76 | 24.10 | 0.60 | 20 | 0.55 | FoMOs-P | 一般 | 使用强度 | 3 |
李静 | 2020 | 中国 | 20 | 15.02 | 0.75 | 1081 | 0.49 | FoMOs-L | 一般 | 使用成瘾 | 7 |
胡光友 | 2020 | 中国 | 20 | 0.42 | 1092 | 0.33 | FoMOs-L | 一般 | 使用成瘾 | 5 | |
高霞 | 2019 | 中国 | 20 | 16.40 | 0.28 | 465 | 0.57 | FoMOs-P | 一般 | 其它 | 5 |
Lee | 2020 | 中国 | 20 | 36.10 | 0.16 | 259 | 无 | 其它 | 一般 | 使用时间 | 8 |
Classen | 2020 | 新西兰 | 79 | 无 | 0.33 | 218 | 0.24 | FoMOs-P | 一般 | 使用强度 | 7 |
?ztürk | 2020 | 土耳其 | 37 | 21.07 | 0.23 | 141 | 0.45 | FoMOs-P | 一般 | 其它 | 2 |
2020 | 土耳其 | 37 | 21.07 | 0.27 | 141 | 0.45 | FoMOs-P | 一般 | 其它 | 3 | |
Munawaroh | 2019 | 印尼 | 14 | 无 | 0.57 | 106 | 0.00 | FoMOs-P | 使用成瘾 | 1 | |
Zhang | 2020 | 美国 | 91 | 无 | 0.27 | 236 | 无 | 其它 | 一般 | 使用强度 | 6 |
图2每个独立样本的效应量及总体效应量的森林图
图2每个独立样本的效应量及总体效应量的森林图
表2分类变量调节效应分析结果
调节变量 | 异质性检验 | 类别 | k | r | 95% CI | 双侧检验 | ||||
---|---|---|---|---|---|---|---|---|---|---|
QB | df | p | 下限 | 上限 | z | p | ||||
社交媒体使用指标 | 47.41 | 3 | <0.001 | 使用成瘾 | 36 | 0.47 | 0.43 | 0.50 | 20.09 | <0.001 |
使用强度 | 22 | 0.32 | 0.27 | 0.38 | 10.32 | <0.001 | ||||
使用时间 | 8 | 0.25 | 0.15 | 0.35 | 4.90 | <0.001 | ||||
使用频率 | 5 | 0.14 | 0.00 | 0.27 | 1.95 | 0.051 | ||||
错失焦虑测量工具 | 1.95 | 2 | 0.376 | FoMOs-P | 47 | 0.37 | 0.33 | 0.41 | 16.01 | <0.001 |
FoMOs-L | 5 | 0.44 | 0.32 | 0.55 | 6.52 | <0.001 | ||||
FoMOs-W | 4 | 0.44 | 0.31 | 0.56 | 5.89 | <0.001 | ||||
社交媒体类型 | 6.05 | 2 | 0.048 | 14 | 0.37 | 0.28 | 0.45 | 7.84 | <0.001 | |
4 | 0.51 | 0.36 | 0.63 | 6.03 | <0.001 | |||||
Snapchat | 3 | 0.28 | 0.08 | 0.46 | 2.69 | 0.007 |
表2分类变量调节效应分析结果
调节变量 | 异质性检验 | 类别 | k | r | 95% CI | 双侧检验 | ||||
---|---|---|---|---|---|---|---|---|---|---|
QB | df | p | 下限 | 上限 | z | p | ||||
社交媒体使用指标 | 47.41 | 3 | <0.001 | 使用成瘾 | 36 | 0.47 | 0.43 | 0.50 | 20.09 | <0.001 |
使用强度 | 22 | 0.32 | 0.27 | 0.38 | 10.32 | <0.001 | ||||
使用时间 | 8 | 0.25 | 0.15 | 0.35 | 4.90 | <0.001 | ||||
使用频率 | 5 | 0.14 | 0.00 | 0.27 | 1.95 | 0.051 | ||||
错失焦虑测量工具 | 1.95 | 2 | 0.376 | FoMOs-P | 47 | 0.37 | 0.33 | 0.41 | 16.01 | <0.001 |
FoMOs-L | 5 | 0.44 | 0.32 | 0.55 | 6.52 | <0.001 | ||||
FoMOs-W | 4 | 0.44 | 0.31 | 0.56 | 5.89 | <0.001 | ||||
社交媒体类型 | 6.05 | 2 | 0.048 | 14 | 0.37 | 0.28 | 0.45 | 7.84 | <0.001 | |
4 | 0.51 | 0.36 | 0.63 | 6.03 | <0.001 | |||||
Snapchat | 3 | 0.28 | 0.08 | 0.46 | 2.69 | 0.007 |
参考文献 125
*元分析用到的参考文献 | |
[1] | *Alt, D.(2018). Students’ wellbeing, fear of missing out, and social media engagement for leisure in higher education learning environments. Current Psychology, 37(1), 128-138. |
[2] | Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012). Development of a Facebook addiction scale. Psychological Reports, 110(2), 501-517. doi: 10.2466/02.09.18.PR0.110.2.501-517URLpmid: 22662404 |
[3] | *Bailey, A. A., Bonifield, C. M., & Arias, A. (2018). Social media use by young Latin American consumers: An exploration. Journal of Retailing and Consumer Services, 43, 10-19. |
[4] | *Baker, Z. G., Krieger, H., & LeRoy, A. S. (2016). Fear of missing out: Relationships with depression, mindfulness, and physical symptoms. Translational Issues in Psychological Science, 2(3), 275-282. |
[5] | *Balta, S., Emirtekin, E., Kircaburun, K., & Griffiths, M. D. (2020). Neuroticism, trait fear of missing out, and phubbing: The mediating role of state fear of missing out and problematic Instagram use. International Journal of Mental Health and Addiction, 18(3), 628-639. |
[6] | Bandura, A.(2001). Social cognitive theory of mass communication. Media psychology, 3(3), 265-299. |
[7] | *Barry, C. T., Sidoti, C. L., Briggs, S. M., Reiter, S. R., & Lindsey, R. A. (2017). Adolescent social media use and mental health from adolescent and parent perspectives. Journal of Adolescence, 61, 1-11. doi: 10.1016/j.adolescence.2017.08.005URLpmid: 28886571 |
[8] | Basu, S.,& Banerjee, B. (2020). Impact of environmental factors on mental health of children and adolescents: A systematic review. Children and Youth Services Review. Advance online publication, https://doi.org/10.1016/j.childyouth.2020.105515 URLpmid: 33281254 |
[9] | Berkowitz, L.(1989). Frustration-aggression hypothesis: Examination and reformulation. Psychological Bulletin, 106(1), 59-73. URLpmid: 2667009 |
[10] | *Beyens, I., Frison, E., & Eggermont, S. (2016). “I don’t want to miss a thing”: Adolescents’ fear of missing out and its relationship to adolescents’ social needs, Facebook use, and Facebook related stress. Computers in Human Behavior, 64, 1-8. |
[11] | *B?achnio, A., & Przepiórka, A. (2018). Facebook intrusion, fear of missing out, narcissism, and life satisfaction: A cross-sectional study. Psychiatry Research, 259, 514-519. doi: 10.1016/j.psychres.2017.11.012URLpmid: 29154204 |
[12] | *Blackwell, D., Leaman, C., Tramposch, R., Osborne, C., & Liss, M. (2017). Extraversion, neuroticism, attachment style and fear of missing out as predictors of social media use and addiction. Personality and Individual Differences, 116, 69-72. doi: 10.1016/j.paid.2017.04.039URL |
[13] | Bloemen, N., & de Coninck, D. (2020). Social media and fear of missing out in adolescents: The role of family characteristics. Social Media + Society. Advance online publication. https://doi.org/10.1177/2056305120965517 doi: 10.1177/2056305117733224URLpmid: 29278246 |
[14] | Borenstein, M., Hedges, L., Higgins, J., & Rothstein, H. R. (2014). Comprehensive meta-analysis (version 3.3) [computer software]. Englewood, NJ: Biostat. |
[15] | Brown, J. D., & Bobkowski, P. S. (2011). Older and newer media: Patterns of use and effects on adolescents' health and well-being. Journal of Research on Adolescence, 21(1), 95-113. doi: 10.1111/j.1532-7795.2010.00717.xURL |
[16] | Brown, L., & Kuss, D. J. (2020). Fear of missing out, mental wellbeing, and social connectedness: A seven-day social media abstinence trial. International Journal of Environmental Research and Public Health, 17(12), Article 4566. https://doi.org/10.3390/ijerph17124566. doi: 10.3390/ijerph17249547URLpmid: 33419346 |
[17] | Bruggeman, H., van Hiel, A., van Hal, G., & van Dongen, S. (2019). Does the use of digital media affect psychological well-being? An empirical test among children aged 9 to 12. Computers in Human Behavior, 101, 104-113. |
[18] | *Buglass, S. L., Binder, J. F., Betts, L. R., & Underwood, J. D. M. (2017). Motivators of online vulnerability: The impact of social network site use and FOMO. Computers in Human Behavior, 66, 248-255. |
[19] | *Burnell, K., George, M. J., Vollet, J. W., Ehrenreich, S. E., & Underwood, M. K. (2019). Passive social networking site use and well-being: The mediating roles of social comparison and the fear of missing out. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 13(3), Article 5. http://dx.doi.org/10.5817/CP2019-3-5 |
[20] | Cai, H., Zou, X., Feng, Y., Liu, Y., & Jing, Y.(2018). Increasing need for uniqueness in contemporary China: Empirical evidence. Frontiers in Psychology, 9, Article 554. https://doi.org/10.3389/fpsyg.2018.00554 URLpmid: 30740082 |
[21] | *Can, G., & Satici, S. A. (2019). Adaptation of fear of missing out scale (FoMOs): Turkish version validity and reliability study. Psicologia: Reflex?o e Crítica, 32, Article 3. https://doi.org/10.1186/s41155-019-0117-4 |
[22] | Card, N. A.(2012). Applied meta-analysis for social science research. New York: Guilford Press. |
[23] | *Cargill, M.(2019). The relationship between social media addiction, anxiety, the fear of missing out, and interpersonal problems (Unpublished doctoral dissertation). University of Akron. |
[24] | *Casale, S., & Fioravanti, G. (2020). Factor structure and psychometric properties of the Italian version of the fear of missing out scale in emerging adults and adolescents. Addictive Behaviors. Advance online publication. https://doi.org/10.1016/j.addbeh.2019.106179 doi: 10.1016/j.addbeh.2021.106852URLpmid: 33581678 |
[25] | *Casale, S., Rugai, L., & Fioravanti, G. (2018). Exploring the role of positive metacognitions in explaining the association between the fear of missing out and social media addiction. Addictive Behaviors, 85, 83-87. doi: 10.1016/j.addbeh.2018.05.020URLpmid: 29864680 |
[26] | Chai, H. Y., Niu, G. F., Chu, X. W., Wei, Q., Song, Y. H., & Sun, X. J. (2018). Fear of missing out: What have I missed again? Advances in Psychological Science, 26(3), 527-537. |
[ 柴唤友, 牛更枫, 褚晓伟, 魏祺, 宋玉红, 孙晓军. (2018). 错失恐惧: 我又错过了什么? 心理科学进展, 26(3), 527-537.] | |
[27] | *Chai, H. Y., Niu, G. F., Lian, S. L., Chu, X. W., Liu, S., & Sun, X. J. (2019). Why social network site use fails to promote well-being? The roles of social overload and fear of missing out. Computers in Human Behavior, 100, 85-92. |
[28] | *Chambers, K. J. (2018). College students' anxiety, social media engagement, and fear of missing out (Unpublished doctoral dissertation). William James College. |
[29] | China Internet Network Information Center (CNNIC). (2020). The 45th statistical report on the development of Chinese Internet network Retrieved August 10, 2020, from http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202004/t20200428_70974.htm |
[ 中国互联网络信息中心. (2020). 第45次《中国互联网络发展状况统计报告》 2020-08-10取自 http://www.cnnic.net. cn/hlwfzyj/hlwxzbg/hlwtjbg/202004/t20200428_70974.htm] | |
[30] | *Classen, B., Wood, J. K., & Davies, P. (2020). Social network sites, fear of missing out, and psychosocial correlates. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 14(3), Article 4. https://doi.org/10.5817/CP2020-3-4 |
[31] | Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M., (2020). Does time spent using social media impact mental health? An eight year longitudinal study. Computers in Human Behavior. Advance online publication. https://doi.org/10.1016/j.chb.2019.106160 URLpmid: 30906112 |
[32] | Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management science, 32(5), 554-571. |
[33] | de Lenne, O., Vandenbosch, L., Eggermont, S., Karsay, K., & Trekels, J. (2020). Picture-perfect lives on social media: A cross-national study on the role of media ideals in adolescent well-being. Media Psychology, 23(1), 52-78. |
[34] | *Dempsey, A. E., O'Brien, K. D., Tiamiyu, M. F., & Elhai, J. D. (2019). Fear of missing out (FoMO) and rumination mediate relations between social anxiety and problematic Facebook use. Addictive Behaviors Reports. Advance online publication. https://doi.org/10.1016/j.abrep.2018.100150 doi: 10.1016/j.abrep.2020.100315URLpmid: 33364323 |
[35] | Duvenage, M., Correia, H., Uink, B., Barber, B. L., Donovan, C. L., & Modecki, K. L. (2020). Technology can sting when reality bites: Adolescents’ frequent online coping is ineffective with momentary stress. Computers in Human Behavior, 102, 248-259. |
[36] | Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends:” Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143-1168. |
[37] | Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. British Medical Journal, 315(7109), 629-634. doi: 10.1136/bmj.315.7109.629URLpmid: 9310563 |
[38] | *Fabris, M. A., Marengo, D., Longobardi, C., & Settanni, M. (2020). Investigating the links between fear of missing out, social media addiction, and emotional symptoms in adolescence: The role of stress associated with neglect and negative reactions on social media. Addictive Behaviors. Advance online publication https://doi.org/10.1016/j.addbeh.2020.106364. doi: 10.1016/j.addbeh.2021.106852URLpmid: 33581678 |
[39] | Faelens, L., Hoorelbeke, K., Soenens, B., van Gaeveren, K., de Marez, L., de Raedt, R., & Koster, E. H. W., (2021). Social media use and well-being?: A prospective experience- sampling study. Computers in Human Behavior. Advance online publication. https://doi.org/10.1016/J.CHB.2020.106510 URLpmid: 30906112 |
[40] | *Fang, J., Wang, X., Wen, Z., & Zhou, J., (2020). Fear of missing out and problematic social media use as mediators between emotional support from social media and phubbing behavior. Addictive Behaviors. Advance online publication. https://doi.org/10.1016/j.addbeh.2020.106430 URLpmid: 33581678 |
[41] | *Franchina, V., Vanden Abeele, M., van Rooij, A. J., Lo Coco, G., & de Marez, L. (2018). Fear of missing out as a predictor of problematic social media use and phubbing behavior among Flemish adolescents. International Journal of Environmental Research and Public Health, 15(10), https://doi.org/10.3390/ijerph15102319 URLpmid: 30347800 |
[42] | *Fuster, H., Chamarro, A., & Oberst, U. (2017). Fear of Missing Out, online social networking and mobile phone addiction: A latent profile approach. Aloma: revista de psicologia, ciències de l'educació i de l'esport Blanquerna, 35(1), 22-30. |
[43] | *Gao, X.(2019). The relationships among passive social networking sites use, fear of missing out and risk-taking behavior in high school students and its intervention research (Unpublished master's thesis). Central China Normal University, Wuhan. |
[ 高霞. (2019). 高中生被动性社交网站使用、错失恐俱和冒险行为的关系及其干预 (硕士学位论文). 华中师范大学, 武汉.] | |
[44] | *Gezgin, D. M. (2018). Understanding patterns for smartphone addiction: Age, sleep duration, social network use and fear of missing out. Cypriot Journal of Educational Sciences, 13(2), 166-177. |
[45] | Gignac, G. E., & Szodorai, E. T. (2016). Effect size guidelines for individual differences researchers. Personality and Individual Differences, 102, 74-78. |
[46] | He, X. C., Guo, Y., He, X., & Feng, G. J. (2019). Meta- analysis review on the gender differences of Chinese teenagers' regulatory emotional self-efficacy. Journal of Shanghai Educational Research,(8), 44-47. |
[ 何相材, 郭英, 何翔, 冯观健. (2019). 中国青少年情绪调节自我效能感性别差异的元分析. 上海教育科研, (8), 44-47.] | |
[47] | Houghton, S., Lawrence, D., Hunter, S. C., Rosenberg, M., Zadow, C., Wood, L., & Shilton, T. (2018). Reciprocal relationships between trajectories of depressive symptoms and screen media use during adolescence. Journal of Youth and Adolescence, 47(11), 2453-2467. URLpmid: 30046970 |
[48] | *Hu, G. Y. (2020). The relationship between basic psychological needs satisfaction and the use of problematic social networks by college students: A moderated mediation model and online intervention studies (Unpublished master's thesis)., Jiangxi Normal University, Nanchang, China. |
[ 胡光友. (2020). 基本心理需要满足与大学生问题性社交网络使用的关系:有调节的中介模型及线上干预研究 (硕士学位论文). 江西师范大学, 南昌.] | |
[49] | Huang, C.(2017). Time spent on social network sites and psychological well-being: A meta-analysis. Cyberpsychology, Behavior, and Social Networking, 20(6), 346-354. |
[50] | Huang, Z. H., Jing, Y. M., Yu, F., Gu, R. L., Zhou, X. Y., Zhang, J. X., & Cai, H. J. (2018). Increasing individualism and decreasing collectivism? Cultural and psychological change around the globe. Advances in Psychological Science, 26(11), 2068-2080. |
[ 黄梓航, 敬一鸣, 喻丰, 古若雷, 周欣悦, 张建新, 蔡华俭. (2018). 个人主义上升, 集体主义式微?——全球文化变迁与民众心理变化. 心理科学进展, 26(11), 2068-2080.] | |
[51] | Huedo-Medina, T. B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006). Assessing heterogeneity in meta- analysis: Q statistic or I2 index? Psychological Methods, 11(2), 193-206. URLpmid: 16784338 |
[52] | *Huguenel, B. M. (2017). Fear of missing out: A moderated mediation approach to social media use (Unpublished master's thesis). Loyola University. |
[53] | Hunt, M. G., Marx, R., Lipson, C., & Young, J. (2018). No more FOMO: Limiting social media decreases loneliness and depression. Journal of Social and Clinical Psychology, 37(10), 751-768. |
[54] | Hunter, J. E., & Schmidt, F. L. (2004). Methods of meta-analysis: Correcting error and bias in research findings(2nd ed.). Newbury Park, CA: Sage. |
[55] | Jagtiani, M. R., Kelly, Y., Fancourt, D., Shelton, N., & Scholes, S. (2019). State Of Mind: Family meal frequency moderates the association between time on social networking sites and well-being among U.K. young adults. Cyberpsychology, Behavior, and Social Networking, 22(12), 753-760. |
[56] | *Jiang, Y. Z., & Jin, T. L. (2018). The relationship between adolescents' narcissistic personality and their use of problematic mobile social networks: The effects of fear of missing out and positive self-presentation. Chinese Journal of Special Education,(11), 64-70. |
[ 姜永志, 金童林. (2018). 自恋人格与青少年问题性移动社交网络使用的关系: 遗漏焦虑和积极自我呈现的作用. 中国特殊教育, (11), 64-70.] | |
[57] | Keles, B., McCrae, N., & Grealish, A. (2020). A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. International Journal of Adolescence and Youth, 25(1), 79-93. |
[58] | *Lai, C., Altavilla, D., Ronconi, A., & Aceto, P. (2016). Fear of missing out (FOMO) is associated with activation of the right middle temporal gyrus during inclusion social cue. Computers in Human Behavior, 61, 516-521. |
[59] | *Lee, K. H., Lin, C. Y., Tsao, J., & Hsieh, L. F. (2020). Cross-sectional study on relationships among FoMO, social influence, positive outcome expectancy, refusal self-efficacy and SNS usage. International Journal of Environmental Research and Public Health, 17(16), Article 5907. https://doi.org/10.3390/ijerph17165907 URLpmid: 32824754 |
[60] | *Li, J.(2020). The effect of positive self-presentation on social networking sites on problematic use of social networking sites—A moderated mediation model (Unpublished master's thesis). Henan University, Kaifeng, China. |
[ 李静. (2020). 社交网站积极自我呈现对问题性社交网站使用的影响——有调节的中介模型 (硕士学位论文). 河南大学, 开封]. | |
[61] | Li, J. Y., & Ma, L. (2019). The effect of the passive use of social networking sites on college students' fear of missing out: The role of perceived stress and optimism. Journal of Psychological Science, 42(4), 949-955. |
[ 李巾英, 马林. (2019). 被动性社交网站使用与错失焦虑症: 压力知觉的中介与乐观的调节. 心理科学, 42(4), 949-955.] | |
[62] | *Li, L., Griffiths, M. D., Niu, Z., & Mei, S. (2020). The Trait-State fear of missing out scale: Validity, reliability, and measurement invariance in a Chinese sample of university students. Journal of Affective Disorders, 274, 711-718. URLpmid: 32664006 |
[63] | *Li, Q., Wang, J. N., Zhao, S. Q., & Jia, Y. R. (2019a). Validity and reliability of the Chinese version of the fear of missing out scale in college students. Chinese Mental Health Journal, 33(4), 312-317. |
[ 李琦, 王佳宁, 赵思琦, 贾彦茹. (2019a). 错失焦虑量表测评大学生的效度和信度. 中国心理卫生杂志, 33(4), 312-317.] | |
[64] | *Li, Q., Wang, J. N., Zhao, S. Q., & Jia, Y. R. (2019b). The effect of basic psychological needs on college students' fear of missing out and the passive use of social networking sites. Chinese Journal of School Health, 40(7), 1088-1090. |
[ 李琦, 王佳宁, 赵思琦, 贾彦茹. (2019b). 基本心理需要对大学生错失焦虑和被动性社交网站使用的影响. 中国学校卫生, 40(7), 1088-1090.] | |
[65] | Light, R. J., & Pillemer, D. B. (1984) Summing up: The science of reviewing research. Cambridge, MA: Harvard University Press. |
[66] | *Liu, C., & Ma, J. L. (2020). Social support through online social networking sites and addiction among college students: The mediating roles of fear of missing out and problematic smartphone use. Current Psychology, 39, 1892-1899. |
[67] | Liu, D., Ainsworth, S. E., & Baumeister, R. F. (2016). A meta-analysis of social networking online and social capital. Review of General Psychology, 20(4), 369-391. |
[68] | Liu, D., & Baumeister, R. F. (2016). Social networking online and personality of self-worth: A meta-analysis. Journal of Research in Personality, 64, 79-89. |
[69] | Liu, D., Baumeister, R. F., Yang, C. C., & Hu, B. (2019). Digital communication media use and psychological well- being: A meta-analysis. Journal of Computer-Mediated Communication, 24(5), 259-273. |
[70] | Liu, Z. J., Kong, F. C., Zhao, G., Wang, Y. D., Zhou, B., & Zhang, X. J. (2018). The association between social network sites use and depression: A meta-analysis. Chinese Journal of Clinical Psychology, 26(6), 60-66+91. |
[ 刘诏君, 孔繁昌, 赵改, 王亚丹, 周博, 张星杰. (2018). 抑郁与社交网站使用的关系: 来自元分析的证据. 中国临床心理学杂志, 26(6), 60-66+91.] | |
[71] | *Ma, J. L., & Liu, C. (2019). The effect of fear of missing out on social networking sites addiction among college students: The mediating roles of social networking site integration use and social support. Psychological Development and Education, 35(5), 605-614. |
[ 马建苓, 刘畅. (2019). 错失恐惧对大学生社交网络成瘾的影响: 社交网络整合性使用与社交网络支持的中介作用. 心理发展与教育, 35(5), 605-614.] | |
[72] | Marengo, D., Longobardi, C., Fabris, M. A., & Settanni, M. (2018). Highly-visual social media and internalizing symptoms in adolescence: The mediating role of body image concerns. Computers in Human Behavior, 82, 63-69. |
[73] | Mieczkowski, H., Lee, A. Y., & Hancock, J. T. (2020). Priming effects of social media use scales on well-being outcomes: The influence of intensity and addiction scales on self- reported depression. Social Media+ Society. Advance online publication. https://doi.org/10.1177/2056305120961784 |
[74] | Milyavskaya, M., Saffran, M., Hope, N., & Koestner, R. (2018). Fear of missing out: Prevalence, dynamics, and consequences of experiencing FOMO. Motivation and Emotion, 42(5), 725-737. |
[75] | Monacis, L., de Palo, V., Griffiths, M. D., & Sinatra, M. (2017). Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale. Journal of Behavioral Addictions, 6(2), 178-186. doi: 10.1556/2006.6.2017.023URLpmid: 28494648 |
[76] | *Moore, K., & Craciun, G. (2020). Fear of missing out and personality as predictors of social networking sites usage: The Instagram case. Psychological Reports. Advance online publication. https://doi.org/10.1177/0033294120936184 doi: 10.1177/0033294120976628URLpmid: 33567978 |
[77] | *Müller, S. M., Wegmann, E., Stolze, D& Brand, M. (2020). Maximizing social outcomes? Social zapping and fear of missing out mediate the effects of maximization and procrastination on problematic social networks use. Psychological Reports. Advance online publication. https://doi.org/10.1016/j.chb.2020.106296 |
[78] | *Munawaroh, E., Nurmalasari, Y., & Sofyan, A. (2019). Social network sites usage and fear of missing out among female Instagram user. Advances in Social Science, Education and Humanities Research, 462, 140-142. |
[79] | *?ztürk, H., Gen?o?lu, ?., & K?rkg?z, F. (2020). The Relationship between type of social media usage and depression with fear of missing out. Ko? University Undergraduate Psychology Journal, 9, 1-10 |
[80] | *Perrone, M. A. (2016). FoMO: Establishing validity of the fear of missing out scale with an adolescent population (Unpublished doctoral dissertation). Alfred University. |
[81] | Peterson, R. A., & Brown, S. P. (2005). On the use of beta coefficients in meta-analysis. Journal of Applied Psychology, 90(1), 175-181. |
[82] | *Pontes, H. M., Taylor, M., & Stavropoulos, V. (2018). Beyond “Facebook addiction”: The role of cognitive- related factors and psychiatric distress in social networking site addiction. Cyberpsychology, Behavior, and Social Networking, 21(4), 240-247. |
[83] | Przybylski, A. K., & Weinstein, N. (2017). A large-scale test of the goldilocks hypothesis: Quantifying the relations between digital-screen use and the mental well-being of adolescents. Psychological Science, 28(2), 204-215. doi: 10.1177/0956797616678438URLpmid: 28085574 |
[84] | *Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841-1848. |
[85] | Rasmussen, E. E., Punyanunt-Carter, N., LaFreniere, J. R., Norman, M. S., & Kimball, T. G. (2020). The serially mediated relationship between emerging adults’ social media use and mental well-being. Computers in Human Behavior, 102, 206-213. doi: 10.1016/j.chb.2019.08.019URL |
[86] | *Reer, F., Tang, W. Y., & Quandt, T. (2019). Psychosocial well-being and social media engagement: The mediating roles of social comparison orientation and fear of missing out. New Media & Society, 21(7), 1486-1505. |
[87] | *Ren, J.(2019). The relationship between college students’ social networking sites use and mobile phone addiction: A moderate mediation model (Unpublished master's thesis). Northwest Normal University, Lanzhou, China. |
[ 任静. (2019). 大学生社交网站使用与手机成瘾的关系: 有调节的中介模型 (硕士学位论文). 西北师范大学, 兰州.] | |
[88] | *Reyes, M. E. S., Marasigan, J. P., Gonzales, H. J. Q., Hernandez, K. L. M., Medios, M. A. O., & Cayubit, R. F. O. (2018). Fear of missing out and its link with social media and problematic internet use among Filipinos. North American Journal of Psychology, 20(3), 503-518. |
[89] | Richard, F. D., Bond Jr, C. F., & Stokes-Zoota, J. J. (2003). One hundred years of social psychology quantitatively described. Review of General Psychology, 7(4), 331-363. |
[90] | *Riordan, B. C., Cody, L., Flett, J. A., Conner, T. S., Hunter, J., & Scarf, D. (2020). The development of a single item FoMO (fear of missing out) scale. Current Psychology, 39, 1215-1220. |
[91] | *Rogers, A. P., & Barber, L. K. (2019). Addressing FoMO and telepressure among university students: Could a technology intervention help with social media use and sleep disruption? Computers in Human Behavior, 93, 192-199. |
[92] | Rothstein, H. R., Sutton, A. J., & Borenstein, M. (2005). Publication bias in meta-analysis: Prevention, assessment and adjustments. Chichester: John Wiley & Sons Ltd. |
[93] | Royal Society for Public Health. (2017). #Status of mind: Social media and young people’s mental health and wellbeing. Retrieved December 1, 2020, from. https:// www.rsph.org.uk/our-work/campaigns/status-of-mind.html |
[94] | *Rozgonjuk, D., Sindermann, C., Elhai, J. D., & Montag, C. (2020). Fear of missing out (FoMO) and social media’s impact on daily-life and productivity at work: Do WhatsApp, Facebook, Instagram and Snapchat use disorders mediate that association? Addictive Behaviors. Advance online publication. https://doi.org/10.1016/j.addbeh.2020.106487 doi: 10.1016/j.addbeh.2021.106852URLpmid: 33581678 |
[95] | Saiphoo, A. N., Halevi, L. D., & Vahedi, Z. (2020). Social networking site use and self-esteem: A meta-analytic review Personality and Individual Differences. Advance online publication. https://doi.org/10.1016/j.paid.2019.109639 URLpmid: 33531724 |
[96] | Schmidt, F. L., Oh, I. S., & Hayes, T. L. (2009). Fixed-versus random-effects models in meta-analysis: Model properties and an empirical comparison of differences in results. British Journal of Mathematical and Statistical Psychology, 62(1), 97-128. |
[97] | *Scott, H., & Woods, H. C. (2018). Fear of missing out and sleep: Cognitive behavioural factors in adolescents' nighttime social media use. Journal of Adolescence, 68, 61-65. doi: 10.1016/j.adolescence.2018.07.009URLpmid: 30031979 |
[98] | *Sharma, S.(2015). Disengagement behavior on online social network: The impact of fear of missing out and addiction (Unpublished doctoral dissertation). Mississippi State University. |
[99] | *Sheldon, P., Antony, M. G., & Sykes, B. (2020). Predictors of problematic social media use: Personality and life-position indicators. Psychological Reports. Advance online publication. https://doi.org/10.1177/0033294120934706 doi: 10.1177/0033294120976628URLpmid: 33567978 |
[100] | Shensa, A., Sidani, J. E., Escobar-Viera, C. G., Switzer, G. E., Primack, B. A., & Choukas-Bradley, S. (2020). Emotional support from social media and face-to-face relationships: Associations with depression risk among young adults. Journal of affective disorders, 260, 38-44. doi: 10.1016/j.jad.2019.08.092URLpmid: 31493637 |
[101] | Slater, M. D. (2007). Reinforcing spirals: The mutual influence of media selectivity and media effects and their impact on individual behavior and social identity. Communication Theory, 17(3), 281-303. |
[102] | Song, H., Zmyslinski-Seelig, A., Kim, J., Drent, A., Victor, A., Omori, K., & Allen, M. (2014). Does Facebook make you lonely? A meta-analysis. Computers in Human Behavior, 36, 446-452. |
[103] | Song, X. K., Zhao, Y. X., & Zhang, X. H. (2017). Developing a fear of missing out (FoMO) measurement scale in the mobile social media environment. Library and Information Service, 61(11), 96-105. |
[ 宋小康, 赵宇翔, 张轩慧. (2017). 移动社交媒体环境下用户错失焦虑症(FoMO) 量表构建研究. 图书情报工作, 61(11), 96-105.] | |
[104] | *Stead, H., & Bibby, P. A. (2017). Personality, fear of missing out and problematic internet use and their relationship to subjective well-being. Computers in Human Behavior, 76, 534-540. |
[105] | Thorisdottir, I. E., Sigurvinsdottir, R., Asgeirsdottir, B. B., Allegrante, J. P., & Sigfusdottir, I. D. (2019). Active and passive social media use and symptoms of anxiety and depressed mood among Icelandic adolescents. Cyberpsychology, Behavior, and Social Networking, 22(8), 535-542. |
[106] | Tokunaga, R. S. (2017). A meta-analysis of the relationships between psychosocial problems and internet habits: Synthesizing internet addiction, problematic internet use, and deficient self-regulation research. Communication Monographs, 84(4), 423-446. |
[107] | *Tomczyk, ?., & Selmanagic-Lizde, E. (2018). Fear of Missing Out (FOMO) among youth in Bosnia and Herzegovina—scale and selected mechanisms. Children and Youth Services Review, 88, 541-549. |
[108] | *Tra?, Z., & ?ztemel, K. (2019). Examining the relationships between facebook intensity, fear of missing out, and smartphone addiction. Add?cta: The Turkish Journal on Addictions, 6(1), 91-113. |
[109] | *Tunc-Aksan, A., & Akbay, S. E. (2019). Smartphone addiction, fear of missing out, and perceived competence as predictors of social media addiction of adolescents. European Journal of Educational Research, 8(2), 559-566. |
[110] | Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3-17. doi: 10.1177/2167702617723376URL |
[111] | Vahedi, Z., & Zannella, L. (2019). The association between self-reported depressive symptoms and the use of social networking sites (SNS): A meta-analysis. Current Psychology. Advance online publication. https://doi.org/ 10.1007/s12144-019-0150-6 URLpmid: 33424207 |
[112] | Valkenburg, P. M., Peter, J., & Walther, J. B. (2016). Media effects: Theory and research. Annual Review of Psychology, 67(1), 315-338. doi: 10.1146/annurev-psych-122414-033608URL |
[113] | *Vallejos-Flores, M. á., Copez-Lonzoy, A. J. E., & Capa-Luque, W. (2018). Is there anyone online? Validity and reliability of the Spanish version of the Bergen Facebook Addiction Scale (BFAS) in university students. Health and Addictions/Salud y Drogas, 18(2), 175-184. |
[114] | *Wang, M. Y., Yin, Z. Z., Xu, Q., & Niu, G. F. (2020). The relationship between shyness and adolescents’ social network sites addiction: Moderated mediation model. Chinese Journal of Clinical Psychology, 28(5), 906-909+914. |
[ 王梦云, 尹忠泽, 徐泉, 牛更枫. (2020). 羞怯与青少年社交网站成瘾的关系:有调节的中介模型. 中国临床心理学杂志, 28(5), 906-909+914. | |
[115] | *Wegmann, E., Oberst, U., Stodt, B., & Brand, M. (2017). Online-specific fear of missing out and Internet-use expectancies contribute to symptoms of Internet- communication disorder. Addictive Behaviors Reports, 5, 33-42. doi: 10.1016/j.abrep.2017.04.001URLpmid: 29450225 |
[116] | *Wei, Q.(2018). Negative emotions and problematic social network sites usage: The mediating role of fear of missing out and the moderating role of gender (Unpublished master's thesis). Central China Normal University, Wuhan. |
[ 魏祺. (2018). 负性情绪与问题性社交网站使用的关系: 有调节的中介模型 (硕士学位论文). 华中师范大学, 武汉.] | |
[117] | Wu, Y., Wu, L., Niu, G. F., Chen, Z. Z., & Liu, L. Z. (2020). The influence of WeChat moments use on undergraduates' depression: The effects of negative social comparison and self-concept clarity. Psychological Development and Education, 36(4), 486-493. |
[ 吴漾, 武俐, 牛更枫, 陈真珍, 刘丽中. (2020). 微信朋友圈使用对大学生抑郁的影响: 负面社会比较和自我概念清晰性的作用. 心理发展与教育, 36(4), 486-493.] | |
[118] | *Xiao, M. M., & Liu, A. S. (2019). Revision of the Chinese version of trait-state fear of missing out scale. Chinese Journal of Clinical Psychology, 27(2), 268-272. |
[ 肖曼曼, 刘爱书. (2019). 特质——状态错失恐惧量表的中文版修订. 中国临床心理学杂志, 27(2), 268-272.] | |
[119] | *Yin, L. P., Wang, P. C., Nie, J., Guo, J. J., Feng, J. M., & Lei, L. (2019). Social networking sites addiction and FoMO: The mediating role of envy and the moderating role of need to belong. Current Psychology. Advance online publication. https://doi.org/10.1007/s12144-019-00344-4 doi: 10.1007/s12144-020-01226-wURLpmid: 33424207 |
[120] | Yin, X. Q., de Vries, D. A., Gentile, D. A., & Wang, J. L. (2019). Cultural background and measurement of usage moderate the association between social networking sites (SNSs) usage and mental health: A meta-analysis. Social Science Computer Review, 37(5), 631-648. |
[121] | Yu, G. L. &, Zhang, Y., L. (2020). The integration of mental health education for preschoolers to college students: From the perspective of personality. Educational Research, 41(6), 125-133. |
[ 俞国良, 张亚利. (2020). 大中小幼心理健康教育一体化: 人格的视角. 教育研究, 41(6), 125-133.] | |
[122] | Zhang, Y. L., Li, S., & Yu, G. L. (2019). The relationship between self-esteem and social anxiety: A meta-analysis with Chinese students. Advances in Psychological Science, 27(6), 1005-1018. |
[ 张亚利, 李森, 俞国良. (2019). 自尊与社交焦虑的关系: 基于中国学生群体的元分析. 心理科学进展, 27(6), 1005-1018.] | |
[123] | *Zhang, Y. L., Li, S., & Yu, G, L. (2020). Fear of missing out and cognitive failures in college students: Mediation effect of mobile phone social media dependence. Chinese Journal of Clinical Psychology, 28(1), 67-70+81. |
[ 张亚利, 李森, 俞国良. (2020). 大学生错失焦虑与认知失败的关系: 手机社交媒体依赖的中介作用. 中国临床心理学杂志, 28(1), 67-70+81.] | |
[124] | *Zhang, Y. X., Jiang, W. J., Ding, Q., & Hong, M. F. (2019). Social comparison orientation and social network sites addiction in college students: The mediating role of fear of missing out. Chinese Journal of Clinical Psychology, 27(5), 928-936. |
[ 张永欣, 姜文君, 丁倩, 洪梦飞. (2019). 社会比较倾向与大学生社交网站成瘾: 错失恐惧的中介作用. 中国临床心理学杂志, 27(5), 928-936.] | |
[125] | *Zhang, Z., Jiménez, F. R., & Cicala, J. E. (2020). Fear of missing out scale: A self‐concept perspective. Psychology & Marketing, 37(11), 1619-1634. |
相关文章 15
[1] | 张文芸, 李晓云, 姚俊杰, 叶倩, 彭微微. 自闭症谱系障碍个体的疼痛敏感性异常:来自元分析的证据[J]. 心理学报, 2021, 53(6): 613-628. |
[2] | 韩毅初, 温恒福, 程淑华, 张淳淦, 李欣. 流动儿童歧视知觉与心理健康关系的元分析[J]. 心理学报, 2020, 52(11): 1313-1326. |
[3] | 柳武妹, 马增光, 卫旭华. 拥挤影响消费者情绪和购物反应的元分析[J]. 心理学报, 2020, 52(10): 1237-1252. |
[4] | 任志洪,赵春晓,卞诚,朱文臻,江光荣,祝卓宏. 接纳承诺疗法的作用机制——基于元分析结构方程模型[J]. 心理学报, 2019, 51(6): 662-676. |
[5] | 任志洪, 张雅文, 江光荣. 正念冥想对焦虑症状的干预: 效果及其影响因素元分析[J]. 心理学报, 2018, 50(3): 283-305. |
[6] | 连帅磊, 孙晓军, 牛更枫, 周宗奎. 社交网站中的上行社会比较与抑郁的关系: 一个有调节的中介模型及性别差异[J]. 心理学报, 2017, 49(7): 941-952. |
[7] | 赵梦雪;冯正直;王毅超;赖薇;胡丰;刘可愚;夏凡;蒋娟;王佳;夏蕾. 1993~2013年常驻高海拔地区军人心理健康状态的横断历史研究[J]. 心理学报, 2017, 49(5): 653-662. |
[8] | 任志洪, 阮怡君, 赵庆柏, 张微, 赖丽足, 江光荣. 抑郁障碍和焦虑障碍治疗的神经心理机制 ——脑成像研究的ALE元分析[J]. 心理学报, 2017, 49(10): 1302-1321. |
[9] | 刘庆奇;牛更枫;范翠英;周宗奎. 被动性社交网站使用与自尊和自我概念清晰性:有调节的中介模型[J]. 心理学报, 2017, 49(1): 60-71. |
[10] | 于增艳;赵阿勐;刘爱书. 儿童期受虐经历与抑郁的元分析[J]. 心理学报, 2017, 49(1): 40-49. |
[11] | 谢和平;王福兴;周宗奎;吴鹏. 多媒体学习中线索效应的元分析[J]. 心理学报, 2016, 48(5): 540-555. |
[12] | 张淑华;刘兆延. 组织认同与离职意向关系的元分析[J]. 心理学报, 2016, 48(12): 1561-1573. |
[13] | 牛更枫;孙晓军;周宗奎;孔繁昌;田媛. 基于QQ空间的社交网站使用对青少年抑郁的影响:上行社会比较和自尊的序列中介作用[J]. 心理学报, 2016, 48(10): 1282-1291. |
[14] | 黄四林;侯佳伟;张梅;辛自强;张红川;孙铃;窦东徽. 中国农民工心理健康水平变迁的横断历史研究:1995~2011[J]. 心理学报, 2015, 47(4): 466-477. |
[15] | 周文霞;谢宝国;辛迅;白光林:苗仁涛. 人力资本、社会资本和心理资本影响中国员工职业成功的元分析[J]. 心理学报, 2015, 47(2): 251-263. |
PDF全文下载地址:
http://journal.psych.ac.cn/xlxb/CN/article/downloadArticleFile.do?attachType=PDF&id=4895