Developmental Trajectories of Religious Service Attendance: Predictors of Nicotine Dependence and Alcohol Dependence/Abuse in Early Midlife
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This longitudinal study assesses the associations between developmental trajectories of religious service attendance from mean age 14 to mean age 43 and nicotine dependence and alcohol dependence/abuse at mean age 43 (N = 548). Six trajectories of religious service attendance were identified. As compared with belonging to weekly stable trajectory group, a higher probability of belonging to the weekly/none decreasing, occasional stable, and non-attendance trajectory group was significantly associated with a higher likelihood of nicotine dependence. In addition, as compared with belonging to weekly stable trajectory group, a higher probability of belonging to the weekly/none decreasing, weekly/occasional decreasing, occasional stable, and non-attendance trajectory group was significantly associated with a higher likelihood of alcohol dependence/abuse. These findings are consistent with the hypothesis that religious service attendance protects against nicotine dependence and alcohol dependence/abuse in early midlife.
KeywordsTrajectories of religious service attendance Nicotine dependence Alcohol dependence/abuse Growth mixture modeling Longitudinal study
This research was supported by NIH Grants DA032603 from the National Institute on Drug Abuse awarded to Dr. Judith S. Brook. We thank Elizabeth Rubenstone and Linda Capobianco for their assistances and helpful advices to the study.
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Conflict of interest
All authors declare that they have no conflict of interest.
- Agrawal, A., Grant, J. D., Haber, J. R., Madden, P. A., Heath, A. C., Bucholz, K. K., et al. (2017). Differences between White and Black young women in the relationship between religious service attendance and alcohol involvement. The American Journal on Addictions, 26, 437–445. https://doi.org/10.1111/ajad.12462.CrossRefGoogle Scholar
- American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC: American Psychiatric Association.Google Scholar
- Billioux, V. G., Sherman, S. G., & Latkin, C. (2014). Religiosity and HIV-related drug risk behavior: A multidimensional assessment of individuals from communities with high rates of drug use. Journal of Religion and Health, 53, 37–45. https://doi.org/10.1007/s10943-012-9587-8.CrossRefGoogle Scholar
- Brook, J. S., Brook, D. W., Gordon, A. S., Whiteman, M., & Cohen, P. (1990). The psychosocial etiology of adolescent drug use: A family interactional approach. Genetic Social and General Psychology Monographs, 116, 111–267.Google Scholar
- Cohen P. & Cohen J. (1996). Life values and adolescent mental health. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Elder, G. H. (1998). The life course as developmental theory. Child Development, 69, 1–12. https://doi.org/10.1111/j.1467-8624.1998.tb06128.x.CrossRefGoogle Scholar
- Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2006). Monitoring the future national survey results on drug use, 1975–2005. Volume II: College students and adults ages 19–45 (NIH Publication No. 06-5884). Bethesda, MD: National Institute on Drug Abuse.Google Scholar
- Kendler, K. S., Liu, X. Q., Gardner, C. O., McCullough, M. E., Larson, D., & Prescott, C. A. (2003). Dimensions of religiosity and their relationship to lifetime psychiatric and substance use disorders. American Journal of Psychiatry, 160, 496–503. https://doi.org/10.1176/appi.ajp.160.3.496.CrossRefGoogle Scholar
- Kendler, K. S., & Myers, J. (2009). A developmental twin study of church attendance and alcohol and nicotine consumption: A model for analyzing the changing impact of genes and environment. American Journal of Psychiatry, 166, 1150–1155. https://doi.org/10.1176/appi.ajp.2009.09020182.CrossRefGoogle Scholar
- Kessler, R. C., Nelson, C. B., McGonagle, K. A., Edlund, M. J., Frank, R. G., & Leaf, P. J. (1996). The epidemiology of co-occurring addictive and mental disorders: Implications for prevention and service utilization. American Journal of Orthopsychiatry, 66, 17–31. https://doi.org/10.1037/h0080151.CrossRefGoogle Scholar
- Muthén, L. K., & Muthén, B. O. (2010). Mplus user’s guide (6th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
- Nonnemaker, J. M., McNeely, C. A., & Blum, R. W. (2003). Public and private domains of religiosity and adolescent health risk behaviors: Evidence from the National Longitudinal Study of Adolescent Health. Social Science and Medicine, 57, 2049–2054. https://doi.org/10.1016/S0277-9536(03)00096-0.CrossRefGoogle Scholar