%0杂志文章@ 1438-8871 %I Gunther Eysenbach %V 6% N 1% P e5% T青少年报告的抑郁症状和不受欢迎的互联网性恳求的性别差异Ybarra,Michele L %A Leaf,Philip J %A Diener-West,Marie %+儿童互联网解决方案公司，74 Ashford, Irvine CA 92618, USA， +1 949 278 0889，Michele@Isolutions4Kids.org %K青少年%K互联网%K抑郁症%K性诱惑%K心理健康%D 2004 %7 6.2.2004 %9原始论文%J J医学互联网资源%G英语%X背景:随着使用互联网的青少年人数的定期增加，青少年在网上可能容易受到负面体验的人数也在增加。临床医生、政策制定者和家长需要更好地理解互联网以及与在线积极和消极体验相关的因素。目的:首先调查青少年报告的抑郁症状与不情愿的网络性恳求之间的关系，其次确定受影响青少年相关特征的性别差异。方法:对青少年网络安全调查的数据进行分析，以调查报告的抑郁症状与不想要的网络性恳求之间的关系。青少年网络安全调查是一项具有全国代表性的横断面电话调查。青少年参与者(N = 1501)年龄在10至17岁之间，讲英语，在过去6个月内至少上网6次，并在过去一年在家中居住至少2周。82%的被联系的家庭同意参与。每位参与者都被要求指出在前一个月内是否出现了《精神疾病诊断与统计手册第四版》(DSM-IV)所定义的重度抑郁症的9种症状。使用逻辑回归来估计有轻度或重度抑郁症状的青少年与没有症状的青少年在网上报告不想要的性恳求的几率。 A parsimonious, multivariate model of significant youth characteristics was identified separately for males and females. Results: Youths who report major depressive-like symptoms were 3.5 times more likely (odds ratio, 3.54; 95% confidence interval, 2.19-5.71) to also report an unwanted sexual solicitation online compared to youths with mild/no symptomatology. After adjusting for significant Internet and psychosocial characteristics, male Internet users who report major depressive-like symptomatology were 2.5 times more likely to also indicate an unwanted Internet solicitation (adjusted odds ratio, 2.72; 95% CI, 1.15-6.40); significant differences were not observed among otherwise-similar females. Further, among youths reporting an Internet solicitation (N = 283), youths with major depressive-like symptomatology were twice as likely to report feeling emotionally distressed by the incident compared to youths with mild/no symptomatology (odds ratio, 2.27; 95% CI, 1.03-5.02). Conclusions: While the majority of youths report positive experiences online, some youths may be more vulnerable to negative experiences. Cross-sectional results indicate that the report of depressive symptomatology is significantly related to the concurrent report of an unwanted Internet sexual solicitation, especially for young males. Future research should focus on parsing out the temporality of events and identifying additional populations of vulnerable youths online. %M 15111271 %R 10.2196/jmir.6.1.e5 %U //www.mybigtv.com/2004/1/e5/ %U https://doi.org/10.2196/jmir.6.1.e5 %U http://www.ncbi.nlm.nih.gov/pubmed/15111271