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Racial, ethnic, and gender differences in smoking cessation associated with employment and joblessness through young adulthood in the US

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  • Weden, Margaret M
  • Astone, Nan M
  • Bishai, David
Abstract
The dynamics of labor force participation and joblessness during young adulthood influence access to social and material resources and shape exposure to different sources of psychosocial strain. Differences in these dynamics by race, ethnicity, and gender are related to changes in a behavioral determinant of poor health (tobacco use) for young adults aging into midlife. Using discrete-time hazards models, we estimate the relationship between labor force participation in the past year and smoking cessation for US adults (ages 14-21 years in 1979) followed in a population-representative sample until 1998 (i.e. the National Longitudinal Survey of Youth). We assess the unique role of racial, ethnic and gender differences in exposure, vulnerability, and reactivity to employment and joblessness by controlling for social and economic resources obtained through working and by controlling for early life factors that select individuals into certain labor force and smoking trajectories. There are three main findings: (1) joblessness is more strongly associated with persistent daily smoking among women than among men; (2) fewer social and economic resources for women out of the labor force compared to employed women explains their lower cessation rates; and (3) lower cessation among unemployed women compared to employed women can only partially be explained by these resources. These findings illustrate how differential access to work-related social and economic resources is an important mediator of poor health trajectories. Contextual factors such as social norms and psychosocial strains at work and at home may play a unique role among European American men and women in explaining gender differences in smoking.

Suggested Citation

  • Weden, Margaret M & Astone, Nan M & Bishai, David, 2006. "Racial, ethnic, and gender differences in smoking cessation associated with employment and joblessness through young adulthood in the US," Social Science & Medicine, Elsevier, vol. 62(2), pages 303-316, January.
    • Handle: RePEc:eee:socmed:v:62:y:2006:i:2:p:303-316
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    2. Roelfs, David J. & Shor, Eran & Davidson, Karina W. & Schwartz, Joseph E., 2011. "Losing life and livelihood: A systematic review and meta-analysis of unemployment and all-cause mortality," Social Science & Medicine, Elsevier, vol. 72(6), pages 840-854, March.
    3. Marie Plessz & Sehar Ezdi & Guillaume Airagnes & Isabelle Parizot & Céline Ribet & Marcel Goldberg & Marie Zins & Pierre Meneton, 2020. "Association between unemployment and the co-occurrence and clustering of common risky health behaviors: Findings from the Constances cohort," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    4. Schüz, Benjamin & Conner, Mark & Wilding, Sarah & Alhawtan, Rana & Prestwich, Andrew & Norman, Paul, 2021. "Do socio-structural factors moderate the effects of health cognitions on COVID-19 protection behaviours?," Social Science & Medicine, Elsevier, vol. 285(C).
    5. Kaiser, Micha & Reutter, Mirjam & Sousa-Poza, Alfonso & Strohmaier, Kristina, 2017. "Smoking and the Business Cycle: Evidence from Germany," IZA Discussion Papers 10953, Institute of Labor Economics (IZA).
    6. Rachel Tolbert Kimbro, 2009. "Acculturation in Context: Gender, Age at Migration, Neighborhood Ethnicity, and Health Behaviors," Social Science Quarterly, Southwestern Social Science Association, vol. 90(5), pages 1145-1166, December.
    7. Golden, Shelley D. & Perreira, Krista M., 2015. "Losing jobs and lighting up: Employment experiences and smoking in the Great Recession," Social Science & Medicine, Elsevier, vol. 138(C), pages 110-118.
    8. Arcaya, Mariana & Glymour, M. Maria & Christakis, Nicholas A. & Kawachi, Ichiro & Subramanian, S.V., 2014. "Individual and spousal unemployment as predictors of smoking and drinking behavior," Social Science & Medicine, Elsevier, vol. 110(C), pages 89-95.

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