Smartphones as Surrogate Attachment: Examining Digital Dependency and Emotional Bonds Among Left-Behind Children in China

心理学 发展心理学 落在后面 依赖关系(UML) 中国 政治学 人工智能 心理健康 精神科 法学 计算机科学
作者
Yu Fang,Kexin Wang,Menmen Wang
出处
期刊:Cyberpsychology, Behavior, and Social Networking [Mary Ann Liebert, Inc.]
卷期号:28 (9): 630-635
标识
DOI:10.1177/21522715251363399
摘要

Smartphones are gradually becoming surrogate attachment figures for people. This is particularly true for Left-Behind Children (LBC) in China, who, due to long-term separation from their parents, lack reliable and stable emotional support and thus turn to smartphones. The excessive digital dependency has led to nomophobia, which emphasizes the anxiety and discomfort people experience when they are temporarily unable to use or need to be separated from their mobile devices. Drawing from the integrative hypothesis of attachment theory, the research investigates how congruence and incongruence in parent-child attachment patterns influence LBC’s nomophobia. Data were collected from 476 LBC (aged 11–15 years) in Sichuan Province. Polynomial regression with response surface analysis revealed two key findings. First, supporting the additive model , LBC with congruent higher levels of attachment to both parents exhibited lower levels of nomophobia compared with those with lower attachment levels. Second, in cases of incongruent attachment, higher maternal attachment was more effective in predicting lower levels of nomophobia than paternal attachment, confirming the hierarchical model . These findings highlight the crucial role of secure parental attachments in mitigating digital dependency among LBC and emphasize the particular importance of maternal attachment. The study suggests that strengthening remote parent–child communication and providing comprehensive emotional support could help prevent nomophobia in LBC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
有魅力的超短裙完成签到,获得积分10
刚刚
斑驳发布了新的文献求助10
刚刚
打球的篮完成签到,获得积分10
刚刚
科研通AI6.4应助孟祺采纳,获得10
1秒前
小旋风发布了新的文献求助10
3秒前
4秒前
顾矜应助科研通管家采纳,获得10
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
4秒前
JamesPei应助科研通管家采纳,获得10
4秒前
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
orixero应助科研通管家采纳,获得10
4秒前
orixero应助科研通管家采纳,获得20
4秒前
Hayat应助科研通管家采纳,获得30
5秒前
5秒前
搜集达人应助zz采纳,获得10
5秒前
无极微光应助cheng采纳,获得20
5秒前
合法的天空完成签到,获得积分10
7秒前
JAY完成签到,获得积分10
7秒前
N雫N完成签到,获得积分10
7秒前
小丁发布了新的文献求助10
9秒前
未来星关注了科研通微信公众号
9秒前
小兔子乖乖完成签到 ,获得积分10
10秒前
豌豆苗完成签到 ,获得积分10
11秒前
cmuzf完成签到,获得积分10
11秒前
12秒前
赘婿应助大水牛姐姐采纳,获得10
12秒前
岳哈哈完成签到,获得积分10
15秒前
xiaoxiao发布了新的文献求助10
17秒前
斑驳完成签到,获得积分20
17秒前
白糖完成签到,获得积分10
18秒前
18秒前
20秒前
乐观代桃完成签到 ,获得积分10
20秒前
effort完成签到,获得积分10
22秒前
baishiyan发布了新的文献求助10
23秒前
年糕完成签到,获得积分10
23秒前
23秒前
柒柒发布了新的文献求助10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7767737
求助须知:如何正确求助?哪些是违规求助? 9311262
关于积分的说明 20322524
捐赠科研通 7352659
什么是DOI,文献DOI怎么找? 3315451
关于科研通互助平台的介绍 2464733
邀请新用户注册赠送积分活动 2330087