Lombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia.
Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut.
Am J Prev Med. 2023 Apr;64(4 Suppl 1):S72-S79. doi: 10.1016/j.amepre.2022.12.007.
The Cancer Intervention and Surveillance Modeling Network (CISNET) Lung Working Group age-period-cohort methodology to study smoking patterns can be applied to tackle important issues in tobacco control and public health. This paper summarizes the analyses of smoking patterns in the U.S. by race/ethnicity, educational attainment, and family income and for each of the 50 U.S. states using the CISNET Lung Working Group age-period-cohort approach. We describe how decision makers, policy advocates, and researchers can use the sociodemographic analyses in this supplement to project state smoking trends and develop effective state-level tobacco control strategies. The all-cause mortality RR estimates associated with smoking for U.S. race/ethnicity and education groups are also discussed in the context of research that measures and evaluates health disparities. Finally, the application of the CISNET Lung Working Group age-period-cohort methodology to Brazil is reviewed with a view to how the same types of analyses can be applied to other low- and middle-income countries.
癌症干预和监测建模网络(CISNET)肺癌工作组的年龄-时期-队列方法可用于解决烟草控制和公共卫生领域的重要问题。本文总结了应用 CISNET 肺癌工作组年龄-时期-队列方法分析美国按种族/族裔、教育程度和家庭收入划分的吸烟模式。我们描述了决策者、政策倡导者和研究人员如何使用本增刊中的社会人口统计学分析来预测州吸烟趋势并制定有效的州级烟草控制策略。还结合衡量和评估健康差异的研究,讨论了与美国种族/族裔和教育群体吸烟相关的全因死亡率相对危险度估计值。最后,回顾了 CISNET 肺癌工作组年龄-时期-队列方法在巴西的应用,以期了解如何将相同类型的分析应用于其他低收入和中等收入国家。