Integrative Data Analysis for Nicotine Dependence Symptoms in Novice Smokers
新手吸烟者尼古丁依赖症状的综合数据分析
基本信息
- 批准号:8114581
- 负责人:
- 金额:$ 24.89万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-09-15 至 2013-07-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAddressAdolescentAgeAlcohol consumptionAlcoholsAreaCharacteristicsControlled StudyDSM-IVDSM-VDataData AnalysesData SetDependenceDevelopmentDiagnostic and Statistical ManualDrug usageEpidemiologyEthnic OriginEvaluationFactor AnalysisFutureGenderHealthIndividualIndividual DifferencesLightMeasurementMeasuresMeta-AnalysisMethodsNicotine DependencePatternPopulationPropertyPsychometricsRegression AnalysisRequest for ApplicationsResearchResearch DesignRiskSample SizeScoring MethodSmokerSmokingSmoking BehaviorSocioeconomic StatusStatistical MethodsSubgroupSurveysSymptomsSyndromeTestingWorkYouthagedcost effectivedemographicsexperienceimprovedinnovationnicotine abusenovelstudy characteristicsyoung adult
项目摘要
DESCRIPTION (provided by applicant): This application requests support to conduct research using an innovative integrative data analysis (IDA) method to pool three independent, national level data sets and to use newly developed statistical methods to evaluate DSM-IV symptoms in recent onset smokers with varying levels of current smoking exposure in order to develop a novel measure of ND symptoms that is optimally valid and reliable for this understudied population. For some, symptoms of nicotine dependence (ND) emerge soon after smoking initiation, at low levels of smoking, and before daily smoking. These early emerging symptoms are related to future smoking after controlling for current levels of exposure. Careful measurement of this construct among novice smokers across the continuum of non-daily and daily smoking levels is vital for gaining a better understanding of ND. This work has been severely impeded by the fact that existing studies of adolescent and young adult smoking behavior provide small sample sizes that prohibit careful examination of the psychometric properties of ND symptoms across the full range of smoking experiences. IDA will be used to overcome these limitations by pooling data from the 1999 and 2000 National Survey on Drug Use and Health (NSDUH) and from the Wave 1 National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). The pooled data will be used to evaluate differences in DSM-IV ND symptom properties in individuals aged 12-25 who began smoking within the past two years and who represent the full continuum of smoking exposure. The following aims will be addressed: 1) Evaluate psychometric properties of the DSM-IV nicotine dependence symptoms and assess invariance in DSM-IV dependence symptom properties across studies and across demographic subgroups; 2) Determine the extent to which nicotine dependence symptom properties differ as a function of level of smoking exposure, controlling for study characteristics and other moderators such as age, gender, SES and ethnicity; and 3) Conduct a sensitivity analysis where the relation between ND and alcohol use, abuse and dependence is examined for individuals with similar levels of smoking exposure, using the empirically derived ND scores from Aims 1 and 2 and traditional ND scoring methods. A novel statistical method, moderated nonlinear factor analysis (MNLFA), will be used to conduct a rigorous psychometric assessment of the ND symptoms. Parameter estimates from the MNLFA will be used to obtain optimal ND symptom scores to be used in later regression analyses evaluating the association between alcohol use and these scores. Results will be compared to those obtained using traditional ND scoring methods. Sub aims will provide a more rigorous test of these methods by testing the primary aims using a pooled data set that also includes the 2008 NSDUH and combines symptoms from DSM-IV and the Nicotine Dependence Syndrome Scale. The proposed research is expected to inform further development of a highly accurate assessment to identify recent onset smokers along the full continuum of current smoking exposure at greatest risk for continued and heavier smoking.
PUBLIC HEALTH RELEVANCE: This research will provide a greater understanding of the measurement of nicotine dependence symptoms in recent onset adolescent and young adult smokers with varying levels of smoking exposure. The proposed research is expected to inform further development of a brief but highly accurate assessment to identify recent onset smokers along the full continuum of current smoking exposure that are at greatest risk for continued and heavier smoking.
描述(由申请人提供):本申请要求使用创新的综合数据分析(IDA)方法支持进行研究,以填充三个独立的国家水平数据集,并使用新开发的统计方法来评估最新吸烟者的DSM-IV症状,这些吸烟者具有不同水平的当前吸烟水平,以开发出可靠的ND症状,以开发出可靠的人的新颖症状,以确认有效的人群,这些症状是最适合的,这些症状是可理解的。对于某些人来说,吸烟开始后不久,吸烟水平低和每天吸烟之前就出现了尼古丁依赖性(ND)的症状。这些早期新兴症状与控制当前暴露水平后未来吸烟有关。仔细测量非每日和每日吸烟水平的新手吸烟者中的这种结构对于更好地了解ND至关重要。现有的对青少年和成年吸烟行为的研究提供了少量样本量,禁止仔细检查ND症状的心理测量特性,这一事实严重阻碍了这项工作。 IDA将通过汇总1999年和2000年全国药物使用与健康调查(NSDUH)的数据以及Wave 1的国家流行病学调查(NESARC)(NESARC)来克服这些局限性。合并的数据将用于评估12-25岁个体DSM-IV症状特性的差异,他们在过去两年内开始吸烟,并代表了吸烟的全部连续性。将解决以下目的:1)评估DSM-IV尼古丁依赖性症状的心理测量特性,并评估跨研究和跨人群亚组的DSM-IV依赖症状特性中的不变性; 2)确定尼古丁依赖症状的特性在多大程度上因吸烟水平而差异,控制研究特征和其他主持人,例如年龄,性别,SES和种族; 3)进行敏感性分析,其中使用AIM 1和2的经验得出的ND分数以及传统的ND评分方法,对具有相似吸烟水平的个体进行了ND与饮酒,滥用和依赖的关系。一种新型的统计方法,调节的非线性因子分析(MNLFA),将用于对ND症状进行严格的心理测量评估。来自MNLFA的参数估计值将用于获得最佳的ND症状评分,用于以后的回归分析,以评估酒精使用和这些分数之间的关联。结果将与使用传统ND评分方法获得的结果进行比较。 SUB AIMS将使用合并的数据集测试主要目标,还将为这些方法提供更严格的测试,该数据集还包括2008 NSDUH,并结合了DSM-IV和Nicotine依赖综合征量表的症状。预计拟议的研究将为高度准确的评估提供进一步的发展,以确定当前吸烟暴露的最新吸烟者,持续吸烟的风险最大。
公共卫生相关性:这项研究将对最近的青春期和年轻吸烟者的尼古丁依赖症状的测量有更多的了解,吸烟量不同。预计拟议的研究将为您提供简短但高度准确的评估的进一步开发,以确定当前吸烟暴露的全面吸烟者的最新开始,这是持续和较重吸烟的最大风险。
项目成果
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{{ truncateString('JENNIFER S ROSE', 18)}}的其他基金
Integrative Data Analysis for Nicotine Dependence Symptoms in Novice Smokers
新手吸烟者尼古丁依赖症状的综合数据分析
- 批准号:
8329618 - 财政年份:2011
- 资助金额:
$ 24.89万 - 项目类别:
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