Developing Health Behaviors in Middle Adolescence

描述（由申请人提供）：拟定研究的目的是通过跟踪三个原始队列（4- 6年级学生）至高中，在4 - 8年级学生健康风险行为的持续研究[R 01-HD 39554]的基础上进行。具体目标是：1。按性别和种族比较青少年（9 - 12年级）的环境/风险因素，保护资源和健康行为。2.探索环境/风险因素，保护资源和青少年的健康行为如何随时间变化。3.确定哪组背景/风险因素和保护资源最能预测青春期中后期（4-12年级）每年的健康促进行为和健康风险行为。4.描述青少年从事健康促进行为和健康风险行为的动机。队列序贯设计将用于收集来自德克萨斯州中部1186名青少年及其父母的可访问多种族样本的数据。调查包括有效的研究工具，以衡量理论变量的弹性模型将每年进行为期四年的青少年家庭使用音频计算机辅助调查访谈（A-CASI）技术。这种设计允许进行横截面和纵向数据分析。正在进行的研究的数据加上在拟议研究中收集的新数据将被合并，以回答研究问题，并使用一般线性模型，广义线性模型和一般线性混合模型（HLM）测试假设。定性数据，以满足第四个具体目标将收集从25个9年级学生从三个队列的每个随机样本，并使用显性和潜在内容分析进行分析。调查结果将有助于公共卫生提供信息，从中制定具体的干预措施，针对多种行为相关的主要发病率和死亡率的个人在生命的第二个十年，特别是弱势群体，农村，种族和少数民族。

DESCRIPTION (provided by applicant): The purpose of the proposed study is to build on an ongoing study of health-risk behaviors in 4th-8th graders [R01-HD39554] by following three original cohorts(4-6th graders) through high school. Specific aims are to: 1. Compare the contextual/risk factors, protective resources and health-behaviors of adolescents (9th-12th graders) by gender, and ethnicity. 2. Explore how contextual/risk factors, protective resources, and health behaviors of adolescents change overtime. 3. Determine which set of contextual/risk factors and protective resources best predict health-promoting behaviors and health-risk behaviors in each year of middle-to-late adolescence (grades 4-12). 4. Describe adolescents' motivations for engaging in health-promoting behaviors and health-risk behaviors. A cohort-sequential design will be used to collect data from an accessible, multi-ethnic sample of 1186 adolescents and their parents residing in central Texas. Surveys consisting of valid research instruments to measure theoretical variables in a resilience model will be administered annually for four years in adolescents' homes using audio-computer-assisted survey interviewing (A-CASI) techniques. This design allows for both cross-sectional and longitudinal data analysis. Data from the ongoing study plus new data collected in the proposed study will be combined to answer the research questions and test hypotheses using general linear models, generalized linear models, and general linear mixed models (HLM). Qualitative data to meet the fourth specific aim will be collected from a random sample of 25 9th graders from each of the three cohorts and analyzed using manifest and latent content analysis. Findings will contribute to the public health by providing information from which to develop specific interventions that target multiple behaviors associated with the major morbidities and mortalities of individual in the second decade of life, particularly disadvantaged, rural, racial and ethnic minorities.