首页> 外文期刊>Health Psychology and Behavioral Medicine >Predicting Internet risks: a longitudinal panel study of gratifications-sought, Internet addiction symptoms, and social media use among children and adolescents
【24h】

Predicting Internet risks: a longitudinal panel study of gratifications-sought, Internet addiction symptoms, and social media use among children and adolescents

机译:预测互联网风险:儿童和青少年对满足感,互联网成瘾症状和社交媒体使用的纵向面板研究

获取原文
           

摘要

This study used longitudinal panel survey data collected from 417 adolescents at 2 points in time 1 year apart. It examined relationships between Internet risks changes in Time 2 and social media gratifications-sought, Internet addiction symptoms, and social media use all measured at Time 1. By controlling for age, gender, education, and criterion variable scores in Internet addiction at Time 1, entertainment and instant messaging use at Time 1 significantly predicted increased Internet addiction measured at Time 2. The study also controlled for demographics and scores of criterion variables in Internet risks: targeted for harassment, privacy exposed, and pornographic or violent content consumed in Time 1. Gratifications-sought (including status-gaining, expressing opinions, and identity experimentation), Internet addiction symptoms (including withdrawal and negative life consequences), and social media use (in particular, blogs, and Facebook) significantly predicted Internet risk changes in Time 2. These findings suggest that, with their predictive power, these predictors at Time 1 could be used to identify those adolescents who are likely to develop Internet addiction symptoms and the likelihood of experiencing Internet risks based on their previous gratifications-sought, previous addiction symptoms, and their habits of social media use at Time 1.
机译:这项研究使用了从417名青少年那里收集的纵向面板调查数据,时间间隔为1年,共2个时间点。它研究了时间2的互联网风险变化与寻求的社交媒体满足感,网络成瘾症状和社交媒体使用之间的关系,这些都在时间1进行了衡量。方法是控制年龄,性别,教育程度以及时间1的网络成瘾标准变量得分,娱乐和即时消息的使用在时间1处显着预测了在时间2处的互联网成瘾程度。该研究还控制了人口统计学和互联网风险中的标准变量得分:针对在时间1中使用的骚扰,隐私暴露以及色情或暴力内容。寻求的满足感(包括获得状态,表达意见和身份试验),网络成瘾症状(包括退缩和负面的生活后果)以及社交媒体的使用(尤其是博客和Facebook)大大预测了互联网风险在时间的变化2.这些发现表明,凭借其预测能力,可以使用时间1的这些预测因子d根据时间1之前的要求,先前的上瘾症状和社交媒体使用习惯来识别可能会出现互联网成瘾症状的青少年以及可能遭受互联网风险的青少年。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号