TOBACCO TRENDS: A REAL-TIME SENTINEL FOR TOBACCO CONTROL EVALUATIONS

烟草趋势：烟草控制评估的实时哨兵

• 批准号: 8660296
• 负责人: John W Ayers
• 金额: $ 15.77万
• 依托单位: SAN DIEGO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-06-01 至 2016-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8660296
• 关键词: Address; Adult; Advocate; Air; American; American Cancer Society; Antismoking; Area; Behavioral; Cancer Etiology; Cataloging; Catalogs; Centers for Disease Control and Prevention (U.S.); Cessation of life; Cigarette; Communities; Controlled Environment; Data; Data Aggregation; Data Collection; Data Sources; Effectiveness; Evaluation; Government; Health; Health Resources; Health Surveys; Individual; Infectious Disease Epidemiology; Influenza; Internet; Life; Link; Measures; Media Campaign; Methods; Metric; Modeling; Monitor; New York; Policy Maker; Population; Population Surveillance; Reliance; Research; Research Personnel; Resolution; Resources; Risk Factors; Running; Sales; Science; Scientist; Sentinel; Smoking; Smoking and Health Research; Surveys; System; Taxes; Thinking; Time; Time Series Analysis; Tobacco; Tobacco use; United States; United States Food and Drug Administration; United States National Institutes of Health; Validation; Work; base; behavior measurement; cigarette smoking; disorder prevention; evidence base; flu; influenza epidemic; insight; killings; nicotine replacement; population health; population survey; premature; programs; public health relevance; response; tobacco control; trend

DESCRIPTION (provided by applicant): Population smoking trends are principally documented by aggregating individual responses to health surveys that are only collected intermittently. As a result, most evaluations of population tobacco control may be confounded when multiple measures take effect in the same year. Real-time smoking trends would allow investigators to temporally associate population smoking with specific tobacco control measures, thereby potentially better cataloging the effectiveness of specific tobacco control measures. Until now there has not been an adequate data source for real-time population smoking surveillance. The Internet is the most utilized health resource on the globe, and some pioneering work in infectious disease epidemiology shows aggregate Internet search queries may be used to validly estimate population heath trends. We hypothesize changes in smoking-related Internet search queries may capture population smoking trends, with fine temporal resolution to inform tobacco control evaluations. To demonstrate their utility, these trends will b used to evaluate the effectiveness of the Great American Smokeout and New York's (NY) 2010 cigarette excise tax increase, hypothesizing these measures will reduce smoking. Real-time smoking trends will be disseminated through a public web application, Tobacco Trends (www.tobaccotrends.org), with smoking trends for 2004 onward to give investigators, sponsors, and policy makers the ability to rapidly evaluate tobacco control measures based on population smoking trends.

描述（由申请人提供）：人口吸烟趋势主要是通过汇总对健康调查的个人反应，这些趋势仅是间歇性收集的。结果，当多项措施在同年生效时，大多数对种群烟草控制的评估可能会混淆。实时吸烟趋势将使研究人员可以将吸烟与特定的烟草控制措施相关联，从而可以更好地分类特定的烟草控制措施的有效性。到目前为止，还没有足够的数据来源来实时吸烟监视。互联网是全球使用最多的健康资源，传染病流行病学中的一些开创性工作表明，总互联网搜索查询可用于有效估计人口荒地趋势。我们假设与吸烟相关的互联网搜索查询变化可能会捕获人口吸烟趋势，并具有良好的时间分辨率，以告知烟草控制评估。为了证明它们的效用，这些趋势将用于评估美国大型Smokeout和纽约（NY）2010年香烟消费税税的有效性，假设这些措施将减少吸烟。实时吸烟趋势将通过公共Web应用程序，烟草趋势（www.tobaccotrends.org）传播，2004年以来的吸烟趋势可以使研究人员，赞助商和政策制定者能够根据吸烟趋势快速评估烟草控制措施。

项目成果

Which cigarettes do Americans think are safer? A population-based analysis with wave 1 of the PATH study.

• DOI: 10.1136/tobaccocontrol-2016-053334
• 发表时间: 2017-03
• 期刊: Tobacco control
• 影响因子: 5.2
• 作者: Leas EC;Ayers JW;Strong DR;Pierce JP
• 通讯作者: Pierce JP

Could Behavioral Medicine Lead the Web Data Revolution?

• DOI: 10.1001/jama.2014.1505
• 发表时间: 2014-04-09
• 期刊: JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
• 影响因子: 120.7
• 作者: Ayers, John W.;Althouse, Benjamin M.;Dredze, Mark
• 通讯作者: Dredze, Mark

"Tips From Former Smokers" Can Benefit From Considering All Available Data: Reply to McAfee et al.

• DOI: 10.1016/j.amepre.2015.08.005
• 发表时间: 2015-12-01
• 期刊: American journal of preventive medicine
• 影响因子: 5.5
• 作者: Ayers, John W;Althouse, Benjamin M
• 通讯作者: Althouse, Benjamin M

Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout.

• DOI: 10.2196/publichealth.5304
• 发表时间: 2016-01
• 期刊: JMIR public health and surveillance
• 影响因子: 8.5
• 作者: Ayers JW;Westmaas JL;Leas EC;Benton A;Chen Y;Dredze M;Althouse BM
• 通讯作者: Althouse BM