A longitudinal multi-level analysis of health disparities among adolescents

青少年健康差异的纵向多层次分析

• 批准号: 7935369
• 负责人: Sara Katherine Vesely
• 金额: $ 18.13万
• 依托单位: UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-18 至 2012-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7935369
• 关键词: Address; Adolescent; Adolescent Risk Behavior; Alcohol consumption; Alcoholic Beverages; Alcohols; Area; Behavioral; Centers for Disease Control and Prevention (U.S.); Cohort Studies; Collection; Communities; Cross-Sectional Studies; Data; Data Analyses; Data Collection; Databases; Development; Environment; Environmental Risk Factor; Equation; Ethnic Origin; Ethnic group; Evaluation; Family; Funding; Goals; Health; Health behavior; Health behavior change; Healthy People 2010; Individual; Intervention; Letters; Longitudinal Studies; Measurement; Modeling; Monitor; Mothers; Neighborhoods; Outcome; Parents; Pharmaceutical Preparations; Prospective Studies; Public Health; Publications; Race; Reporting; Reproductive Health; Research; Research Project Grants; Risk Behaviors; Role; Socioeconomic Status; Structural Models; Structure; Testing; Time; Tobacco use; Training; Youth; aged; binge drinking; contextual factors; cost; demographics; design; fighting; health disparity; peer; psychologic; public health relevance; racial and ethnic; racial and ethnic disparities; racial/ethnic difference; response; role model; sex risk; social; theories; underage drinking; weapons

DESCRIPTION (provided by applicant): Healthy People 2010 includes objectives related both to adolescent health and to reducing health disparities. This R21 will examine health disparities over time in demographically defined sub-groups of youth by conducting secondary analyses of the 5 waves of longitudinal data from the Youth Asset Study (YAS). This study's purpose is to examine associations among youth assets, environmental factors, and adolescent risky behaviors across youth sub-groups over a 4 year period. Adolescent health disparities have been shown for race/ethnicity and socioeconomic status (SES). Tracking these objectives over time across youth sub-groups is important to assess health disparities and monitor progress of the Healthy People 2010 goals. It is also imperative to determine factors that may be related to these disparities including individual factors such as youth assets as well as environmental factors. We propose to use existing data from the YAS (funded by the Centers for Disease Control and Prevention, (CDC) Division of Reproductive Health), a 4 year/5 wave longitudinal prospective study that involves youth aged 12-17 years at wave 1 and their parents The study examines associations among neighborhood and family factors, youth assets, and youth risk behaviors. The CDC has funded data collection and data analysis related to sexual risk behaviors. The CDC supports our submission for additional funding for analysis of other outcomes. Data collected includes: 17 assets (e.g. Relationship with Mother, Religiosity, Peer Role Models), youth race/ethnicity, extensive parent reported socioeconomic status (SES) data, and risky behaviors including non-use of seatbelts, riding with drivers who have been drinking alcohol, binge drinking of alcoholic beverages, tobacco use, physical fighting, and weapon carrying. The following specific hypotheses will be examined: 1) Disparities in the proportion of youth participating in risky behaviors will change over time and this change will be different for each race/ethnicity and impacted by SES. 2) The impact of youth assets in the disparate relationship between risky behavior and time will vary by race/ethnicity and SES. 3) Environmental factors (waves 1 & 2) and assets (wave 3) will be associated with risk behavior disparities (waves 4 & 5) differently across race/ethnic groups and impacted by SES. 4) Youth assets (wave 3) will moderate the influence of environmental factors (waves 1 & 2) on behavioral disparities differently across race/ethnic and SES groups. Separate analyses for each of the six risky behaviors will be conducted. To test these hypotheses multi-level longitudinal mixed effect models, marginal models, and structural equation modeling will be utilized. Health disparities related to racial/ethnic groups while controlling for SES will initially be examined by analyzing interactions and then may be further examined by stratifying the data based on race/ethnicity. This information will help explain the role of youth assets and the environment as they relate to youth health disparities for six risky behaviors specifically related to race/ethnicity and SES. Results will help guide interventions developed to eliminate youth health disparities. PUBLIC HEALTH RELEVANCE: The study will contribute to public health in the general area of youth development theory and specifically to our understanding of how youth assets and environmental factors may decrease health disparities related to race/ethnicity and socioeconomic status across six risky behaviors in adolescents. Practitioners can use the study results to guide interventions specifically planned at reducing or eliminating youth health disparities related to race/ethnicity and socioeconomic status.

描述(由申请者提供)：《2010年健康人》包括与青少年健康和减少健康差距有关的目标。这份R21将通过对青年资产研究(YAS)的5波纵向数据进行二次分析，检查人口统计定义的青年亚群中随时间的健康差距。这项研究的目的是在四年的时间里检查青少年资产、环境因素和青少年风险行为之间的关系。在种族/族裔和社会经济地位(SES)方面，青少年健康状况存在差异。随着时间的推移，在青年分组中跟踪这些目标，对于评估健康差距和监测2010年健康人目标的进展情况很重要。还必须确定可能与这些差距有关的因素，包括青年资产等个人因素以及环境因素。我们建议使用YAS(由疾病控制和预防中心(CDC)生殖健康部门资助)的现有数据，这是一项为期4年/5波的纵向前瞻性研究，涉及12-17岁的第1波青年及其父母。该研究考察了邻居和家庭因素、青年资产和青年危险行为之间的关系。疾控中心资助了与性危险行为相关的数据收集和数据分析。疾控中心支持我们为分析其他结果而提交的额外资金申请。收集的数据包括：17项资产(例如，与母亲的关系、宗教信仰、同伴榜样)、青年种族/族裔、广泛的父母报告的社会经济状况(SES)数据，以及危险行为，包括不使用安全带、与饮酒的司机一起骑车、酗酒、吸烟、肢体打斗和携带武器。将检验以下具体假设：1)青年参与危险行为的比例的差异将随着时间的推移而变化，这种变化将因种族/民族而异，并受社会经济地位的影响。2)青年资产在风险行为和时间之间的不同关系中的影响将因种族/民族和社会经济状况而异。3)环境因素(第一波和第二波)和资产(第三波)与风险行为差异(第四波和第五波)的关联将在不同种族/民族之间有所不同，并受到SES的影响。4)青年资产(第三波)将缓和环境因素(第一波和第二波)对不同种族/民族和社会经济地位群体行为差异的影响。将对这六种危险行为进行单独的分析。为了检验这些假设，将使用多水平纵向混合效应模型、边际模型和结构方程模型。在控制SES的同时，将首先通过分析相互作用来检查与种族/族裔群体有关的健康差异，然后可能通过根据种族/族裔对数据进行分层来进一步检查。这些信息将有助于解释青年资产和环境的作用，因为它们与青年在具体涉及种族/族裔和社会经济地位的六种危险行为方面的健康差距有关。结果将有助于指导为消除青年健康差距而制定的干预措施。公共卫生相关性：这项研究将有助于青年发展理论一般领域的公共卫生，特别是有助于我们理解青年资产和环境因素如何在青少年的六种危险行为中减少与种族/民族和社会经济地位有关的健康差距。从业人员可以利用研究结果指导专门计划的干预措施，以减少或消除与种族/族裔和社会经济地位有关的青年健康差距。

项目成果

Youth Assets, Neighborhood Factors, Parental Income, and Tobacco Use: A Longitudinal Study of Health Disparities.

• DOI: 10.3390/ijerph191912330
• 发表时间: 2022-09-28
• 期刊: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
• 作者: Tolma, Eleni L.;Vesely, Sara K.;Boeckman, Lindsay;Oman, Roy F.;Aspy, Cheryl B.
• 通讯作者: Aspy, Cheryl B.

Demographic Factors Predict Disparities in Number of Assets Youth Possess.

人口因素预测年轻人拥有的资产数量差异。

• DOI: 10.5993/ajhb.41.5.14
• 发表时间: 2017
• 期刊: American journal of health behavior
• 影响因子: 2.3
• 作者: Oman,RoyF;Vesely,SaraK;Boeckman,LindsayM;Tolma,EleniL;Aspy,CherylB
• 通讯作者: Aspy,CherylB