Understanding adolescent response to a technology-based depression prevention program.

Understanding adolescent response to a technology-based depression prevention program.
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DOI:
10.1080/15374416.2013.850697
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发表时间:
2014
期刊:
Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53
影响因子:
--
通讯作者:
Van Voorhees BW
Van Voorhees BW
中科院分区:
其他
文献类型:
--
作者:
Gladstone T;Marko-Holguin M;Henry J;Fogel J;Diehl A;Van Voorhees BW

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在行为疫苗预防理论的指导下,本研究采用无对照组设计来检查干预变量,这些变量预测参与初级保健的高危青少年在6至8周随访时抑郁症状的有利变化,基于互联网的预防计划。参与者包括83名来自初级保健机构的青少年,年龄14至21岁(M = 17.5,SD = 2.04),56.2%为女性,41%为非白人。参与者完成了自我报告措施,会见了医生,然后完成了14个模块的互联网干预,旨在预防抑郁症。线性回归模型表明,几个干预因素(在网站上的持续时间,与医生的关系,易用性的看法,以及所呈现的材料的相关性的强度)与抑郁症状从基线到随访的更大减少显着相关。自动消极的想法显着介导的抑郁症状评分的变化和使用时间和医生的关系之间的关系。几个干预变量预测参与基于互联网的预防计划的青少年中抑郁症状评分的有利变化,其中两个变量的强度由自动消极思想介导。这些研究结果支持认知因素在预防青少年抑郁症的重要性,并建议在优化干预设计时应考虑基于技术的干预经验和关系的可修改方面。
Guided by the Behavioral Vaccine Theory of prevention, this study uses a no-control group design to examine intervention variables that predict favorable changes in depressive symptoms at 6- to 8-week follow-up in at-risk adolescents who participated in a primary care, Internet-based prevention program. Participants included 83 adolescents from primary care settings ages 14 to 21 (M = 17.5, SD = 2.04), 56.2% female, with 41% non-White. Participants completed self-report measures, met with a physician, and then completed a 14-module Internet intervention targeting the prevention of depression. Linear regression models indicated that several intervention factors (duration on website in days, the strength of the relationship with the physician, perceptions of ease of use, and the perceived relevance of the material presented) were significantly associated with greater reductions in depressive symptoms from baseline to follow-up. Automatic negative thoughts significantly mediated the relation between change in depressive symptoms scores and both duration of use and physician relationship. Several intervention variables predicted favorable changes in depressive symptom scores among adolescents who participated in an Internet-based prevention program, and the strength of two of these variables was mediated by automatic negative thoughts. These findings support the importance of cognitive factors in preventing adolescent depression and suggest that modifiable aspects of technology-based intervention experience and relationships should be considered in optimizing intervention design.
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