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一般网络使用的预测因素及远端结果:儿童发展轨迹的识别

Predictors and the distal outcome of general Internet use: The identification of children's developmental trajectories.

作者信息

Yu Jeong Jin, Park Su Jung

机构信息

Umeå University, Umeå, Sweden.

Utah State University, Logan, Utah, USA.

出版信息

Br J Dev Psychol. 2017 Nov;35(4):483-497. doi: 10.1111/bjdp.12188. Epub 2017 May 17.

DOI:10.1111/bjdp.12188
PMID:28513971
Abstract

This study examined the predictors and distal outcome in relation to the frequency of online activities and investigated the presence of prototypical trajectories following different patterns of general Internet use over 5 years. The data set consisted of a nationally representative sample of 2,840 fourth graders (M  = 9.86 years) in South Korea at baseline. Analyses revealed rank-order stability in general Internet use with four latent classes: high stable (5.8%), high quadratic (20.3%), moderate stable (32.7%), and low stable (41.2%). Youth with higher levels of perceived parental monitoring knowledge, friendship closeness, and depressed mood at baseline were more likely to belong to the high stable class, while girls were more likely to be in the high quadratic or moderate stable classes relative to the low stable class. The high stable class had the greatest odds of reporting alcohol use at grade eight, whereas the low stable class had the lowest odds. Statement of contribution What is already known on this subject? Internet usage increases as children progress through to early adolescence and then levels off Longitudinal data have shown that adolescents' greater Internet use is predictive of their higher levels of drinking What does this study add? To explore different developmental pathways of Internet use in relation to its antecedents and distal outcome Early adolescents who spend more time on the Internet have a greater chance of starting to drink The interindividual rank-order stability of general Internet usage exists at least before late childhood.

摘要

本研究考察了与网络活动频率相关的预测因素和远期结果,并调查了5年间不同总体互联网使用模式下典型轨迹的存在情况。数据集由韩国2840名四年级学生(平均年龄9.86岁)的全国代表性样本组成,这些学生为基线数据。分析揭示了总体互联网使用的等级顺序稳定性,分为四个潜在类别:高稳定型(5.8%)、高二次型(20.3%)、中度稳定型(32.7%)和低稳定型(41.2%)。基线时感知到的父母监督知识水平较高、友谊亲密且情绪低落的青少年更有可能属于高稳定型类别,而相对于低稳定型类别,女孩更有可能处于高二次型或中度稳定型类别。高稳定型类别在八年级报告饮酒的几率最高,而低稳定型类别几率最低。贡献声明 关于该主题已知的信息有哪些? 随着儿童成长到青春期早期,互联网使用量增加,然后趋于平稳 纵向数据表明,青少年更多地使用互联网预示着他们更高的饮酒水平 本研究增加了什么? 探索互联网使用与其前因和远期结果相关的不同发展途径 花更多时间上网的青少年开始饮酒的可能性更大 总体互联网使用的个体间等级顺序稳定性至少在童年晚期之前就存在。

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