ArticlePreventive medicine2011
Dying for a smoke: how much does differential mortality of smokers affect estimated life-course smoking prevalence?
Article in Preventive medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- The impact of physical activity on household out-of-pocket medical expenditure among adults aged 45 and over in urban China: The mediating role of spousal health behaviour.SSM - population health · 2024Article
- Challenges in studying the interplay of genes and environment. A study of childhood financial distress moderating genetic predisposition for peak smoking.Journal Of Economic Psychology · 2023Article
- The Greek smoking epidemic from a life-course perspective.Journal of public health (Oxford, England) · 2022Article
- Article
- Lung cancer mortality among never-smokers in the United States: estimating smoking-attributable mortality with nationally representative data.Annals of epidemiology · 2020Article
- "Thou Shalt not Smoke": Religion and smoking in a natural experiment of history.SSM - population health · 2019Article
- Migration-related changes in smoking among non-Western immigrants in France.European journal of public health · 2019Article
- Health information and life-course smoking behavior: evidence from Turkey.The European journal of health economics : HEPAC : health economics in prevention and care · 2019Article
- Changes in Smoking Behavior over Family Transitions: Evidence for Anticipation and Adaptation Effects.International journal of environmental research and public health · 2017Article
- Life Course Changes in Smoking by Gender and Education: A Cohort Comparison Across France and the United States.Population research and policy review · 2017Article
- Article
- Article
- A Novel Indicator of Life-Course Smoking Prevalence in the United States Combining Popularity, Duration, Quantity, and Quality of Smoking.American journal of public health · 2016Article
- Educational inequalities in smoking over the life cycle: an analysis by cohort and gender.International journal of public health · 2016Article
- Generation shifts in smoking over 20 years in two Dutch population-based cohorts aged 20-100 years.BMC public health · 2015Article
- Is Smoking Behavior Culturally Determined? Evidence from British Immigrants.Journal of economic behavior & organization · 2015Article
- Cohort changes in educational disparities in smoking: France, Germany and the United States.Social science & medicine (1982) · 2015Article
- Re: "Validation of a method for reconstructing historical rates of smoking prevalence".American journal of epidemiology · 2014Article
- Cigarette Smoking in Same-Sex and Different-Sex Unions: The Role of Socioeconomic and Psychological Factors.Population research and policy review · 2014Article
- Smoking behavior of Mexicans: patterns by birth-cohort, gender, and education.International journal of public health · 2013Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
objectiveAn extensive literature uses reconstructed historical smoking rates by birth-cohort to inform anti-smoking policies. This paper examines whether and how these rates change when one adjusts for differential mortality of smokers and non-smokers.
methodsUsing retrospectively reported data from the US (Panel Study of Income Dynamics, 1986, 1999, 2001, 2003, 2005), the UK (British Household Panel Survey, 1999, 2002), and Russia (Russian Longitudinal Monitoring Study, 2000), we generate life-course smoking prevalence rates by age-cohort. With cause-specific death rates from secondary sources and an improved method, we correct for differential mortality, and we test whether adjusted and unadjusted rates statistically differ. With US data (National Health Interview Survey, 1967-2004), we also compare contemporaneously measured smoking prevalence rates with the equivalent rates from retrospective data.
resultsWe find that differential mortality matters only for men. For Russian men over age 70 and US and UK men over age 80 unadjusted smoking prevalence understates the true prevalence. The results using retrospective and contemporaneous data are similar.
conclusionsDifferential mortality bias affects our understanding of smoking habits of old cohorts and, therefore, of inter-generational patterns of smoking. Unless one focuses on the young, policy recommendations based on unadjusted smoking rates may be misleading.
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