Longitudinal Predictors of Depression in Young Adults

年轻人抑郁症的纵向预测因素

基本信息

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
项目类别：
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

项目摘要

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成人人群抑郁症结果的保护性和危险因素。纵向数据集将包括在6。5年内评估的高危青年样本，并在每个浪潮处收集抑郁症状，并在基线时诊断信息，并进行5.5年和6.5岁的随访。使用分层线性建模，将探索与轨迹相关的第一级风险和保护因素的纵向模型，这些轨迹将探讨成年年轻人的抑郁症结果。此外，将检查第二级主持人（例如，家庭/关系的凝聚力，社会支持，教育程度），将检查纵向预测指标与青春期早期抑郁症结果之间的关系。独特的样本（250个无家可归者和149个匹配的住房青年）将允许研究这两个'组之间的差异，这些'组在文献中尚未得到充分采样或比较。借助此纵向数据库和所采用的数据分析的类型，学员将能够充分评估抑郁症的轨迹，这是对成年期的过渡。