Vangberg Hans Christian B, Lillevoll Kjersti R, Waterloo Knut, Eisemann Martin
Department of Psychology, University of Tromsø, 9037 Tromsø, Norway.
Depress Res Treat. 2012;2012:593068. doi: 10.1155/2012/593068. Epub 2012 Aug 15.
Background. Focus upon depression and prevention of its occurrence among adolescents is increasing. Novel ways of dealing with this serious problem have become available especially by means of internet-based prevention and treatment programs of depression and anxiety. The use of Internet-based intervention programs among adolescents has revealed some difficulties in implementation that need to be further elucidated. The aim of this study is to investigate the association between personality and adolescent depression and the characteristics of users of an Internet-based intervention program. Method. The Junior Temperament and Character Inventory (JTCI), the General Self-Efficacy scale (GSE) and the Centre for Epidemiological Studies-Depression scale (CES-D) have been administered to a sample (n = 1234) of Norwegian senior high-school students. Results. Multiple regression analysis revealed associations between depression and gender, and several JTCI domains and facets. In line with previous findings in adults, high Harm Avoidance and low Self-Directedness emerged as the strongest predictors of adolescent depressive symptoms. Further, in logistic regression analysis with the covariates JTCI, GSE and CES-D, the only significant variables predicting use/non-use were the CES-D and the temperament domain Reward Dependence. Conclusion. The results in this study revealed level of depressive symptoms as the strongest predictor of the use of the Internet based intervention and that personality might provide useful information about the users.
背景。对青少年抑郁症及其预防的关注日益增加。尤其是通过基于互联网的抑郁症和焦虑症预防与治疗项目,出现了处理这一严重问题的新方法。在青少年中使用基于互联网的干预项目暴露出一些实施方面的困难,需要进一步阐明。本研究的目的是调查人格与青少年抑郁症之间的关联以及基于互联网的干预项目使用者的特征。方法。对挪威高中生样本(n = 1234)施测了青少年气质与性格量表(JTCI)、一般自我效能量表(GSE)和流行病学研究中心抑郁量表(CES - D)。结果。多元回归分析揭示了抑郁症与性别以及几个JTCI领域和方面之间的关联。与先前在成年人中的研究结果一致,高回避伤害和低自我导向成为青少年抑郁症状的最强预测因素。此外,在将JTCI、GSE和CES - D作为协变量的逻辑回归分析中,预测使用/不使用的唯一显著变量是CES - D和气质领域奖励依赖。结论。本研究结果表明抑郁症状水平是使用基于互联网的干预的最强预测因素,并且人格可能为使用者提供有用信息。