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监测烟草使用流行情况之三:宿主——数据来源及方法学挑战

Monitoring the tobacco use epidemic III: The host: data sources and methodological challenges.

作者信息

Delnevo Cristine D, Bauer Ursula E

机构信息

UMDNJ-School of Public Health, 335 George Street, Suite 2100, New Brunswick, NJ 08901, USA.

出版信息

Prev Med. 2009 Jan;48(1 Suppl):S16-23. doi: 10.1016/j.ypmed.2008.09.008. Epub 2008 Sep 25.

Abstract

OBJECTIVE

This Host paper (III of V) reviews key surveillance and evaluation systems that monitor the characteristics, attitudes and behaviors of tobacco users that are crucial for tobacco control efforts.

METHODS

We summarize and expand on the recommendations from the Host Working Group of the National Tobacco Monitoring, Research and Evaluation Workshop. We also discuss research challenges and make additional recommendations for improving tobacco control surveillance and evaluation.

RESULTS

We reviewed 10 major US surveys that collect data on tobacco use. A great deal of data is collected but gaps exist. Data collection on cigars, smokeless tobacco, brand, menthols, and PREPs is sparse and infrequent. Also, a number of factors, including, but not limited to, changes in US population composition, declines in survey response rates, and increases in cell phone use present research challenges that may impact the ongoing utility of these systems.

CONCLUSIONS

Although the field of tobacco control research is an advanced area of public health, improvements in data systems are necessary to accurately evaluate progress and continue tobacco control gains. A coordinated surveillance and evaluation network would increase efficiency and improve the overall utility, quality and timeliness of the current data systems.

摘要

目的

本主要论文(共五篇中的第三篇)回顾了关键监测和评估系统,这些系统监测烟草使用者的特征、态度和行为,对控烟工作至关重要。

方法

我们总结并扩展了国家烟草监测、研究与评估研讨会主办方工作组的建议。我们还讨论了研究挑战,并就改进控烟监测和评估提出了更多建议。

结果

我们回顾了10项收集烟草使用数据的美国主要调查。收集了大量数据,但仍存在差距。关于雪茄、无烟烟草、品牌、薄荷醇和预包装烟草的收集数据稀少且不频繁。此外,包括但不限于美国人口构成变化、调查回应率下降以及手机使用增加等诸多因素带来了研究挑战,可能会影响这些系统的持续效用。

结论

尽管控烟研究领域是公共卫生的一个先进领域,但仍需改进数据系统,以准确评估进展并持续取得控烟成效。一个协调的监测和评估网络将提高效率,并改善当前数据系统的整体效用、质量和及时性。

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