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Age and education patterns of smoking among women in high-income nations

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  • Pampel, Fred C.

Abstract

In suggesting that levels of female smoking in high-income nations result from patterns of adoption and abatement during the process of cigarette diffusion, theories of diffusion predict that age and education patterns of smoking shift from concentration among young and highly educated women to older and less educated women as cigarette use spreads through a population and begins to decline. Using survey data on individuals from 16 European nations, aggregate measures of cigarette diffusion, and multilevel statistical models, this study demonstrates that age and education patterns vary with the stage of cigarette diffusion as predicted by the diffusion theories, and provides some evidence concerning future patterns of change in female smoking across nations at diverse stages of cigarette diffusion.

Suggested Citation

  • Pampel, Fred C., 2003. "Age and education patterns of smoking among women in high-income nations," Social Science & Medicine, Elsevier, vol. 57(8), pages 1505-1514, October.
    • Handle: RePEc:eee:socmed:v:57:y:2003:i:8:p:1505-1514
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    Citations

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    Cited by:

    1. Bellés-Obrero, Cristina & Cabrales, Antonio & Jiménez-Martín, Sergi & Vall-Castelló, Judit, 2023. "Women’s education, fertility and children’ health during a gender equalization process: Evidence from a child labor reform in Spain," European Economic Review, Elsevier, vol. 154(C).
    2. Katharina Reiss & Reinhard Schunck & Oliver Razum, 2015. "Effect of Length of Stay on Smoking among Turkish and Eastern European Immigrants in Germany—Interpretation in the Light of the Smoking Epidemic Model and the Acculturation Theory," IJERPH, MDPI, vol. 12(12), pages 1-12, December.
    3. Rebekka Christopoulou & Dean Lillard & Josè Balmori de la Miyar, 2013. "Smoking behavior of Mexicans: patterns by birth-cohort, gender, and education," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(3), pages 335-343, June.
    4. Cristina Bellés-Obrero & Sergi Jiménez-Martín & Judit Vall Castello, 2022. "Minimum working age and the gender mortality gap," Journal of Population Economics, Springer;European Society for Population Economics, vol. 35(4), pages 1897-1938, October.
    5. Liu, Hui, 2012. "Marital dissolution and self-rated health: Age trajectories and birth cohort variations," Social Science & Medicine, Elsevier, vol. 74(7), pages 1107-1116.
    6. Laura Cacciani & Anna Maria Bargagli & Giulia Cesaroni & Francesco Forastiere & Nera Agabiti & Marina Davoli, 2015. "Education and Mortality in the Rome Longitudinal Study," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-12, September.
    7. Hayward, Mark D. & Hummer, Robert A. & Sasson, Isaac, 2015. "Trends and group differences in the association between educational attainment and U.S. adult mortality: Implications for understanding education's causal influence," Social Science & Medicine, Elsevier, vol. 127(C), pages 8-18.

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