Abstract
Objectives
The aim of this study is to analyse longitudinally, the annual effects of age group and birth cohort on smoking in the Swedish population during a 24-year period and to analyse the smoking trends for different levels of education.
Methods
A random sample of adult, non-institutionalized persons aged 16–71 years was interviewed every 8 years by professional interviewers. In addition to three time-related variables—year of interview, age at the time of the interview, and year of birth—we included the following explanatory variables in the analyses: sex, educational level, and urbanization.
Results
We found significant decreases in smoking prevalence in all studied subgroups. The adjusted odds ratios for age were 0.89 (95 % CI 0.88–0.90) and 0.92 (95 % CI 0.91–0.93) for men and women, respectively. The decreases in smoking over time were significant in all levels of education, except for in women with low educational level.
Conclusions
In Sweden, the prevalence of smoking has decreased in most age groups and cohorts, and in persons in most levels of education, albeit less so in women with low educational level.
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Acknowledgments
This work was supported by grants awarded to Dr. Kristina Sundquist from the Swedish Research Council and the Swedish Council for Information on Alcohol and Other Drugs (CAN), and to Dr. Jan Sundquist from the Swedish Research Council, the National Institute on Drug Abuse (R01 DA030005), the Swedish Council for Working Life and Social Research as well as by ALF funding from Region Skåne awarded to Jan Sundquist and Kristina Sundquist. We are indebted to Stephen Gilliver for his expertise and invaluable advice in editing the manuscript.
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Midlöv, P., Calling, S., Sundquist, J. et al. The longitudinal age and birth cohort trends of smoking in Sweden: a 24-year follow-up study. Int J Public Health 59, 243–250 (2014). https://doi.org/10.1007/s00038-013-0535-5
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DOI: https://doi.org/10.1007/s00038-013-0535-5
Keywords
- Smoking
- Longitudinal studies
- Cohort effect
- Mixed models
- Statistical models