Familial and Environmental Determinants of Alcohol Use Trajectories: Examining 25 Years of Follow-up Data in a Nationally Representative Cohort of Youth
酒精使用轨迹的家庭和环境决定因素:检查全国代表性青年群体 25 年的跟踪数据
基本信息
- 批准号:10786918
- 负责人:
- 金额:$ 8.25万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-20 至 2025-08-31
- 项目状态:未结题
- 来源:
- 关键词:AdolescenceAdolescentAdultAdverse eventAgeAlcohol consumptionAlcoholsBehaviorBehavioralBeliefChildChild RearingConsumptionDataDevelopmentEmotionalEnvironmentEnvironmental Risk FactorEventFamilyFrequenciesFutureGoalsGrowthHarm ReductionIndividualInterventionInterviewLife Cycle StagesLiteratureLongitudinal cohortMasksMental HealthMethodsModelingNational Institute on Alcohol Abuse and AlcoholismNational Longitudinal Survey of YouthOdds RatioOutcomePatternPersonsPoliciesPolitical FactorProcessPublic HealthResearchRoleSamplingSocietal FactorsSubgroupTimeVariantWorkYouthage groupagedalcohol behavioralcohol related problemalcohol researchalcohol riskalcohol use disorderalcohol use initiationbehavioral outcomebinge drinkingcohortcommunity-level factorcontextual factorscritical developmental perioddrinkingdrinking behaviordrinking onsetearly drinkingemerging adultexperiencefollow-uphigh riskinterestnovelpreventpublic policy on alcoholsecondary analysissocialsubstance usetraumatic eventyoung adult
项目摘要
Project Summary/Abstract
Drinking use behaviors occur within a social-ecological environment where individuals are influenced by
personal, interpersonal, community, societal and political factors. Adolescence is a developmentally sensitive
time period where such factors may influence how frequently and consistently individuals use alcohol. While
drinking patterns for young people in the US tend to be typified by escalating frequency of consumption with
age, up until a decrease in use starting in the mid- to late-20s, drinking patterns across these ages are more
heterogeneous than the group average would suggest. Instead, subgroups of individuals may follow a subset
of drinking patterns with variations in the timing of drinking initiation, frequency of consumption, and binge
drinking behaviors. While prior research has documented heterogeneous drinking trajectories within samples
of young people in the US, no literature has modeled parallel trajectory groups incorporating both drinking
frequency and binge drinking simultaneously. Fewer have modeled how adolescent exposures and
experiences may influence trajectory membership. The proposed study advances our current understanding of
alcohol use trajectories by modeling parallel trajectories of alcohol use as well as binge drinking behaviors. For
aim 1, we will use dual trajectory Latent Growth Mixture Modeling (LGMM) to identify and describe trajectories
of alcohol use and binge drinking from age 15 through 40 in a nationally representative sample of US
adolescents followed longitudinally into adulthood. In aim 2, we will use multinomial regression approaches to
investigate the independent and interactive influences of familial and environmental factors experienced in
adolescence on the identified individual alcohol use trajectories. A deeper understanding of long-term alcohol
use patterns and their influences into adulthood may inform future harm reduction messaging and
programming. In addition, examining dual (sometimes referred to as parallel process) trajectories between
frequency of drinking overall and binge drinking will help identify variations in drinking behaviors that may be
masked when looking at only one behavioral outcome in isolation.
项目概要/摘要
饮酒行为发生在社会生态环境中,个人受到以下因素的影响:
个人、人际、社区、社会和政治因素。青春期是一个发育敏感期
这些因素可能影响个人饮酒的频率和持续性的时间段。尽管
美国年轻人的饮酒模式往往表现为消费频率不断增加
年龄,直到从 20 多岁中后期开始减少饮酒,这些年龄段的饮酒模式更多
异质性高于群体平均水平。相反,个体子群可能会遵循一个子集
饮酒模式的变化,包括开始饮酒的时间、饮酒的频率和暴饮暴食的情况
饮酒行为。虽然之前的研究已经记录了样本中的异质饮酒轨迹
对于美国年轻人来说,没有文献对包含饮酒的平行轨迹群体进行建模
频率和同时酗酒。很少有人模拟青少年如何接触和
经验可能会影响轨迹成员资格。拟议的研究增进了我们目前对
通过对酒精使用和酗酒行为的平行轨迹进行建模来研究酒精使用轨迹。为了
目标 1,我们将使用双轨迹潜在生长混合模型(LGMM)来识别和描述轨迹
美国全国代表性样本中 15 岁至 40 岁的饮酒和酗酒情况
青少年纵向进入成年期。在目标 2 中,我们将使用多项回归方法
研究家庭和环境因素的独立和交互影响
青少年时期已确定的个人饮酒轨迹。对长期酗酒有更深入的了解
使用模式及其对成年期的影响可能会为未来减少伤害的信息传递提供信息
编程。此外,检查之间的双重(有时称为并行过程)轨迹
总体饮酒频率和酗酒频率将有助于识别饮酒行为的变化,这些变化可能会导致
当仅孤立地看待一种行为结果时,这一点就被掩盖了。
项目成果
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