Longitudinal Predictors of Depression in Young Adults

年轻人抑郁症的纵向预测因素

• 批准号: 7159069
• 负责人: Jordan Michel Braciszewski
• 金额: $ 3.62万
• 依托单位: WAYNE STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-01 至 2009-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7159069
• 关键词: academic achievement; adolescence (12-20); behavioral /social science research tag; child psychology; depression; developmental psychology; family structure /dynamics; high risk behavior /lifestyle; homeless; human data; human subject; interview; longitudinal human study; mathematical model; mental health epidemiology; predoctoral investigator; prognosis; psychological adaptation; psychological models; psychological stressor; psychometrics; social support network; young adult human (21-34)

DESCRIPTION (provided by applicant): This research project will utilize an existing database to explore protective and risk factors likely to affect depression outcomes in young adult populations. The longitudinal data set will include a sample of at-risk youth assessed over a 6.5 year period, with depressive symptoms collected at each wave and diagnoses information at baseline and a 5.5 and 6.5 year follow-up. Using Hierarchical Linear Modeling, a longitudinal model of first-level risk and protective factors related to trajectories that alleviate or exacerbate depression outcomes in young adulthood will be explored. Further, second-level moderators (e.g., family/relationship cohesion, social support, educational attainment) of the relationship between the longitudinal predictors and depression outcomes in early adolescence will be examined. The unique sample (250 homeless and 149 matched, housed youth) will allow for investigation of differences between these two' groups that have not been adequately sampled or compared to at this point in the literature. With this longitudinal database and the type of data analysis employed, the trainee will be able to fully assess trajectories of depression over the transition to adulthood.

描述（由申请人提供）：该研究项目将利用现有数据库来探索可能影响年轻人抑郁症结果的保护因素和风险因素。纵向数据集将包括在 6.5 年期间评估的高危青少年样本，每波收集抑郁症状并在基线和 5.5 年和 6.5 年随访时收集诊断信息。使用分层线性模型，将探索与减轻或加剧成年早期抑郁结果的轨迹相关的一级风险和保护因素的纵向模型。此外，还将检查纵向预测因素与青春期早期抑郁结果之间关系的二级调节因素（例如家庭/关系凝聚力、社会支持、教育程度）。这个独特的样本（250 名无家可归者和 149 名匹配的、有住房的青少年）将允许调查这两个群体之间的差异，这些差异在文献中尚未得到充分抽样或比较。通过这个纵向数据库和所采用的数据分析类型，受训者将能够全面评估从成年过渡到抑郁症的轨迹。