Development & validation of an implicit measure of alcohol-related self-identity

发展

• 批准号: 7737942
• 负责人: Heather M Gray
• 金额: $ 8.56万
• 依托单位: CAMBRIDGE HEALTH ALLIANCE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-10 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7737942
• 关键词: Age; Alcohol abuse; Alcohols; Area; Awareness; Behavior; Behavioral; Belief; Boston; Bypass; Characteristics; Client; Clinical; Cognitive; Conscious; Consumption; Development; Diagnostic; Drug Controls; Drug abuse; Early treatment; Foundations; Future; Gambling; Goals; Growth; Health Personnel; Healthcare; Heavy Drinking; Implicit Association Test; Individual; Influentials; Intention; Light; Literature; Location; Measurement; Measures; Methodology; Methods; Morbidity - disease rate; Participant; Patient Self-Report; Performance; Pharmaceutical Preparations; Policies; Population; Prevalence; Prevention; Prevention program; Productivity; Property; Protocols documentation; Psychometrics; Public Health; Reaction Time; Recovery; Reliance; Reporting; Research; Research Personnel; Resistance; Resources; Risk; Risk Assessment; Risk Behaviors; Role; Sampling; Science; Smoke; Smoker; Smoking; Specialist; Speed; Structure; Students; Testing; Validation; Variant; Work; addiction; base; behavioral/social science; binge drinking; cohort; college; college student alcohol abuse; cost; drinking; drinking behavior; effective therapy; high risk drinking; improved; interest; intervention program; meetings; mental representation; mortality; novel strategies; public health relevance; research study; response; success; tool; tool development; university student

DESCRIPTION (provided by applicant): This R03 application, in response to PA-08-214 (Methodology and Measurement in the Behavioral and So- cial Sciences), requests support to develop and validate an implicit assessment tool for estimating alcohol- related self-identity. Implicit assessments of identity related to risky behavior, such as drinking and smoking, predict future risky behavior above and beyond explicit assessments. Unfortunately, there are no easily admin- istered tools for assessing implicit alcohol-related self-identity; consequently, risk assessment and prevention programs in locations such as colleges are unlikely to use available assessments despite possible benefits. In light of ongoing alcohol abuse problems among college students and others, an easily administered risk as- sessment could prove useful for both research and practice purposes. To that end, the proposed research seeks support specifically to: (1) develop the Alcohol Identity Implicit Associations Test (AI-IAT), to measure the strength of the association an individual holds between alcohol and him- or herself; (2) examine the reliabil- ity of the AI-IAT (i.e., test-retest stability; internal consistency); and (3) examine the validity of the AI-IAT (i.e., convergent, divergent, predictive, incremental). The proposed research will complete these tasks using a co- hort of 300 college students, whom we will assess at baseline and at 3-month and 6-month follow-ups. We also will complete a two-week test-retest assessment on 20% of our sample. The establishment of an implicit measure of alcohol-related self-identity, the AI-IAT, will provide the field with several research benefits and lay the foundation for additional identity-related initiatives that hold practical importance in a number of real world settings. It is our intention to follow the proposed research study with an R01 application that extends both the measure-development work described in the current application (i.e., to drugs and gambling) and the settings in which these measures will be tested (i.e., to clinical settings). Automated risk assessment via the AI-IAT will create few demands for prevention specialists and clinicians in practice, while simultaneously yielding vital in- formation for effective treatment and prevention planning. PUBLIC HEALTH RELEVANCE: Alcohol abuse is the greatest single contributor to morbidity and mortality among the college student population. The unchanging prevalence of alcohol abuse among college students in recent years, despite increasing prevention efforts, suggests the need for novel approaches to risk assessment. Most approaches to risk assessment for alcohol abuse among college students require college students to self-report about the antecedents of their drinking behavior. Such assessments present two main limitations: (1) they are relatively insensitive to implicit cognitive structures, which operate outside of conscious awareness; and (2) they are susceptible to students' desires to present themselves in a positive light. The proposed research will develop and validate a new risk assessment tool that is less susceptible to self-presentation desires and more sensitive to an important implicit construct, alcohol-related self-identity. Evidence suggests that alcohol-related self- identity may be an important antecedent to risky drinking behavior. Therefore, the development of this tool will improve the ability to prospectively assess risky drinking behavior among college students, leading to more effective early intervention programs. Additional adaptations could easily extend this tool to clinical populations, improving treatment providers' abilities to estimate for individual clients the likelihood of treatment success.

描述（由申请人提供）：本R 03申请是对PA-08-214（行为和社会科学中的方法和测量）的回应，请求支持开发和验证用于估计酒精相关自我认同的隐式评估工具。与危险行为相关的身份的内隐评估，如饮酒和吸烟，预测未来的危险行为，超过明确的评估。不幸的是，没有简单的管理工具来评估与酒精相关的内隐自我认同;因此，尽管可能有好处，但大学等场所的风险评估和预防计划不太可能使用可用的评估。鉴于大学生和其他人中持续存在的酒精滥用问题，一种易于管理的风险评估可以证明对研究和实践都是有用的。为此，拟议的研究寻求支持，特别是：（1）开发酒精身份内隐关联测试（AI-IAT），以衡量个人与酒精之间的关联强度;（2）检查AI-IAT的可靠性（即，重测稳定性;内部一致性）;和（3）检查AI-IAT的有效性（即，收敛、发散、预测、增量）。拟议的研究将使用300名大学生的合作霍特来完成这些任务，我们将在基线和3个月和6个月的随访中对他们进行评估。我们还将对20%的样本进行为期两周的重测评估。酒精相关的自我认同，人工智能-IAT的建立，将提供该领域的几个研究的好处，并奠定了基础，在一些真实的世界设置具有实际意义的额外的身份相关的举措。我们的意图是用R 01应用程序跟踪拟议的研究，该应用程序扩展了当前应用程序中描述的测量开发工作（即，毒品和赌博）以及这些措施将被测试的环境（即，临床应用）。通过AI-IAT进行的自动风险评估将在实践中对预防专家和临床医生产生很少的需求，同时为有效的治疗和预防计划提供重要信息。公共卫生相关性：酒精滥用是大学生人群中发病率和死亡率的最大单一因素。近年来，尽管预防工作不断加强，但大学生酗酒的流行率没有变化，这表明需要新的风险评估方法。大多数的方法来评估大学生中的酒精滥用的风险，要求大学生自我报告他们的饮酒行为的前因。这种评估存在两个主要局限性：（1）它们对内隐认知结构相对不敏感，这种结构在意识意识之外运作;（2）它们容易受到学生以积极的方式展示自己的愿望的影响。拟议的研究将开发和验证一种新的风险评估工具，这种工具不太容易受到自我展示欲望的影响，对一个重要的内隐结构，即与酒精相关的自我认同更加敏感。有证据表明，与酒精相关的自我认同可能是危险饮酒行为的重要前因。因此，该工具的开发将提高前瞻性评估大学生危险饮酒行为的能力，从而制定更有效的早期干预计划。进一步的调整可以很容易地将这一工具扩展到临床人群，提高治疗提供者为个人客户估计治疗成功可能性的能力。