Harmonizing Cigar Survey Data Across Tobacco Centers of Regulatory Science, Center for Tobacco Products, and Population Assessment of Tobacco and Health Studies: The Cigar Collaborative Research Group.
Harmonizing Cigar Survey Data Across Tobacco Centers of Regulatory Science, Center for Tobacco Products, and Population Assessment of Tobacco and Health Studies: The Cigar Collaborative Research Group.
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DOI：
10.1093/ntr/ntz201
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发表时间：
2021-01-07
期刊：
影响因子：
--
通讯作者：
Mittl B
中科院分区：
文献类型：
--
作者：
Fishbein H;Bauer D;Yu Q;Mermelstein R;Jones D;Miller A;Harrell M;Loukas A;Sterling K;Colip B;Mittl B
雪茄是青少年和年轻人选择的流行烟草产品。尽管人们对雪茄研究的兴趣日益浓厚，但现有文献中仍存在空白，限制了制定基于证据的政策的能力。研究样本太小，当询问有关使用的单一问题时，雪茄类型的异质性使得数据分析变得困难。鉴于美国食品和药物管理局 (FDA) 于 2016 年授予监管雪茄的权力及其受欢迎程度，更好地了解雪茄的使用和偏好的数据将有助于 FDA 制定适当的监管政策。我们统一了先前由五个独立烟草监管科学调查研究项目收集的雪茄调查数据。向参与者提供的数据包括三个烟草监管科学中心、一个烟草产品受资助者中心以及来自烟草与健康人口评估 (PATH) 研究公共使用数据集的数据。通过分析来自五项研究的 92 个数据变量，并应用严格的数据协调协议，我们报告了 24 个关键雪茄使用变量的调查结果。提出了协调的分步协议。所有五项研究均显示出严格可重复性的选定结果表明，17-19 岁的青少年吸雪茄的风险最高；相对再现性表明，男性比女性更有可能尝试雪茄，但不同研究之间的程度存在显着差异；在评估品牌偏好时，会发现再现性不一致的区域。与单一来源的数据相比，协调多个来源的数据可以更广泛地了解调查数据的稳健性和普遍性。这些观察结果提高了人们的认识，以寻求数据源之间的最高程度的可重复性，从而为政策提供信息。协调来自离散数据集的数据可以深入了解雪茄的启动和使用，并展示机遇、挑战和解决方案。比较来自 PATH 和四项独立研究的观察数据，为烟草研究界提供了数据合成的最佳实践方法和示例。五项研究的数据集提供了分析统一调查结果的置信度。不同的结论提出需要努力实现最高程度的可重复性，以最好地了解雪茄使用者的行为，并允许未来制定最有效的干预措施来改变烟草使用模式。
Cigars are a popular tobacco product of choice for youth and young adults. Despite growing interest in cigar research, there are gaps in the available literature limiting an ability to set evidence-based policies. Too small research samples, the heterogeneity of types of cigars when asking a single question about use, makes analyzing data difficult. Given the Food and Drug Administration’s (FDA’s) authority granted in 2016 to regulate cigars, and its popularity, data to better understand use and preference for cigars will help FDA set appropriate regulatory policies. We harmonized cigar survey data previously collected by five independent tobacco regulatory science survey research projects. Data supplying participants included three Tobacco Centers of Regulatory Science, one Center for Tobacco Products grantee, and data from Population Assessment of Tobacco and Health (PATH) study’s public use dataset. Analyzing 92 data variables from across five studies, and applying a rigorous data harmonization protocol, we report findings on 24 key cigar use variables. The step by step protocol for harmonizing is presented. Selected findings showing strict reproducibility across all five studies reveal youth 17–19 years at highest risk for cigar initiation; relative reproducibility shows males more likely to try cigars than females but with significant differences in magnitude across studies; and areas of inconsistent reproducibility are revealed when evaluating brand preferences. Harmonizing data from multiple sources fosters a broader view of the robustness and generalizability of survey data than that from a single source. These observations raise awareness to look for the highest degree of reproducibility among and across data sources to inform policy. Harmonizing data from discrete datasets provides insights into cigar initiation and use and is presented showing opportunities, challenges, and solutions. Comparing observational data from PATH and four independent research studies provides a best-practices approach and example of data synthesis for the tobacco research community. The dataset of five studies offers a look at the degree of confidence in analyzing harmonized survey results. Variable conclusions raise the need to strive for the highest degree of reproducibility, to best understand the behaviors of cigar users, and allow for the future development of the most effective interventions to alter tobacco use patterns.
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影响因子：
12.7
作者：
Nonnemaker, James;Rostron, Brian;Apelberg, Benjamin
通讯作者：
Apelberg, Benjamin
影响因子：
39.2
作者：
Rodriguez J;Jiang R;Johnson WC;MacKenzie BA;Smith LJ;Barr RG
通讯作者：
Barr RG
DOI：
10.1093/geronb/gbr047
发表时间：
2011-07-01
影响因子：
6.2
作者：
Gallacher, John;Hofer, Scott M.
通讯作者：
Hofer, Scott M.
影响因子：
120.7
作者：
Baker, F;Ainsworth, SR;Shopland, DR
通讯作者：
Shopland, DR
影响因子：
7.7
作者：
Fortier I;Raina P;Van den Heuvel ER;Griffith LE;Craig C;Saliba M;Doiron D;Stolk RP;Knoppers BM;Ferretti V;Granda P;Burton P
通讯作者：
Burton P