Longitudinal Predictors of Depression in Young Adults

年轻人抑郁症的纵向预测因素

• 批准号: 7270383
• 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/7270383
• 关键词: Adolescence; Adolescent; Affect; Age; Alcohol abuse; Area; Behavioral; Characteristics; Clinical; Cognitive; Communities; Community Psychology; Data; Data Analyses; Data Set; Databases; Dependence; Development; Diagnosis; Dimensions; Doctor of Philosophy; Elderly; Environmental Risk Factor; Family Relationship; Fellowship; Gender; Grant; Health Promotion; Home environment; Homeless Youth; Homelessness; Housing; Individual; Intervention; Investigation; Jordan; Knowledge; Learning; Life; Linear Models; Literature; Longitudinal Studies; Mental Depression; Mental Health; Modeling; Morbidity - disease rate; Names; Neighborhoods; Outcome; Personality; Policies; Policy Research; Population; Populations at Risk; Prevention; Principal Investigator; Process; Psychopathology; Race; Range; Rate; Recurrence; Research; Research Personnel; Research Project Grants; Research Training; Risk; Risk Factors; Sampling; Self Efficacy; Social Environment; Social Interaction; Social support; Standards of Weights and Measures; Symptoms; Time; Training; Universities; Work; Youth; base; cohesion; cost; depressive symptoms; experience; follow-up; health practice; innovation; insight; metropolitan; parent grant; peer; pre-doctoral; skills; social; socioeconomics; young adult

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）：本研究项目将利用现有的数据库来探索可能影响年轻成年人群抑郁症结局的保护性和风险因素。纵向数据集将包括在6.5年期间评估的高危青年样本，在每个波收集抑郁症状，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，一个纵向模型的第一级风险和保护因素的轨迹，减轻或加重抑郁症的结果在年轻的成年人将进行探讨。此外，第二级主持人（例如，家庭/关系亲密度、社会支持、教育程度）与青春期早期抑郁症结局之间的纵向预测关系。独特的样本（250名无家可归者和149名匹配的被安置青年）将允许调查这两个群体之间的差异，这些差异在文献中还没有得到充分的抽样或比较。有了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抑郁症在向成年过渡期间的轨迹。