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Risk factors for early use of e-cigarettes and alcohol: Dimensions and profiles of temperament

Published online by Cambridge University Press:  20 December 2021

Sarah A. Hartmann*
Affiliation:
Psychology Department, Center for Children and Families, Florida International University, Miami, FL, USA
Timothy Hayes
Affiliation:
Psychology Department, Center for Children and Families, Florida International University, Miami, FL, USA
Matthew T. Sutherland
Affiliation:
Psychology Department, Center for Children and Families, Florida International University, Miami, FL, USA
Elisa M. Trucco
Affiliation:
Psychology Department, Center for Children and Families, Florida International University, Miami, FL, USA Psychiatry Department, University of Michigan, Ann Arbor, MI, USA
*
Corresponding author: Sarah A. Hartmann, email: sahartma@fiu.edu

Abstract

Adolescent e-cigarette use has been labeled an epidemic and alcohol use during this developmental period is associated with deleterious outcomes. Though specific temperamental dimensions have been shown to predict substance use, profiles of temperament have rarely been examined as predictors. This study examines dimensions and profiles of adolescent temperament as predictors of early use of e-cigarettes and alcohol. The sample was comprised of adolescent (62.07% female, 87.59% White, 82.76% Hispanic/Latinx)/caregiver dyads (N = 146) who completed the first two timepoints (M age at second timepoint = 16.16, SD = 0.68) of a longitudinal adolescent substance use study. Models showed parent-reported effortful control predicted protection against adolescent use of e-cigarettes, whereas adolescent report of effortful control predicted protection against alcohol use. Though dissimilar in temperamental pattern, three profiles emerged from both parent- and adolescent-report-based latent profile analysis models. Adolescents characterized by parents as displaying a Resilient profile had greater odds of e-cigarette use than those characterized by a Reserved profile, whereas adolescents who self-characterized as Mixed-type had markedly greater odds of alcohol use than those who self-characterized as Resilient. Utilization of temperamental profiles may aid in identification of particularly vulnerable subgroups of adolescents who may benefit from relevant preventative programing.

Type
Regular Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Achenbach, T. M. (2011). Commentary: Definitely more than measurement error: But how should we understand and deal with informant discrepancies? Journal of Clinical Child and Adolescent Psychology, 40(1), 8086. https://doi.org/10.1080/15374416.2011.533416 CrossRefGoogle ScholarPubMed
Banyai, I. (1995). Zoom. Viking, New York.Google Scholar
Boden, J. M., Newton-Howes, G., Foulds, J., Spittlehouse, J., & Cook, S. (2019). Trajectories of alcohol use problems based on early adolescent alcohol use: Findings from a 35 year population cohort. International Journal of Drug Policy, 74, 1825. https://doi.org/10.1016/j.drugpo.2019.06.011 CrossRefGoogle ScholarPubMed
Boson, K., Brändström, S., & Sigvardsson, S. (2018). The Junior Temperament and Character Inventory (JTCI): Psychometric properties of multi-informant ratings. Psychological Assessment, 30(4), 550555, https://doi.org/10.1037/pas0000513 CrossRefGoogle ScholarPubMed
Buss, A. H., & Plomin, R. (1975). A temperament theory of personality development. Wiley-Interscience, Oxford.Google Scholar
Caspi, A., Harrington, H., Milne, B., Amell, J. W., Theodore, R. F., & Moffitt, T. E. (2003). Children’s behavioral styles at age 3 are linked to their adult personality traits at age 26. Journal of Personality, 71(4), 495513. https://doi.org/10.1111/1467-6494.7104001 CrossRefGoogle ScholarPubMed
Clark, D. A., Donnellan, M. B., Robins, R. W., & Conger, R. D. (2015). Early adolescent temperament, parental monitoring, and substance use in Mexican-origin adolescents. Journal of Adolescence, 41, 121130. https://doi.org/10.1016/j.adolescence.2015.02.010 CrossRefGoogle ScholarPubMed
De Los Reyes, A., Ehrlich, K. B., Swan, A. J., Luo, T. J., Van Wie, M., & Pabón, S. C. (2013). An experimental test of whether informants can report about child and family behavior based on settings of behavioral expression. Journal of Child and Family Studies, 22(2), 177191. https://doi.org/10.1007/s10826-012-9567-3 CrossRefGoogle ScholarPubMed
Dumas, T. M., Davis, J. P., & Ellis, W. E. (2019). Is it good to be bad? A longitudinal analysis of adolescent popularity motivations as a predictor of engagement in relational aggression and risk behaviors. Youth & Society, 51(5), 659679. https://doi.org/10.1177/0044118X17700319 CrossRefGoogle Scholar
Eisenberg, N., Morris, A. S., McDaniel, B., & Spinrad, T. L. (2009). Moral cognitions and prosocial responding in adolescence. In R. M. Lerner, & L. Steinberg (Eds.); Handbook of adolescent psychology: Individual bases of adolescent development (3rd ed.) (Vol. 1, pp. 229–265), chapter xv, 823 pages; John Wiley & Sons Inc.Google Scholar
Ellis, L. K., & Rothbart, M. K.. Revision of the Early Adolescent Temperament Questionnaire. Paper presented at the Biennial Meeting of the Society for Research in Child Development. Minneapolis, Minnesota, 2001 10.1037/t07624-000CrossRefGoogle Scholar
Fairlie, A. M., Cadigan, J. M., Patrick, M. E., Larimer, M. E., & Lee, C. M. (2019). Unplanned heavy episodic and high-intensity drinking: Daily-level associations with mood, context, and negative consequences. Journal of Studies on Alcohol and Drugs, 80(3), 331339. https://doi.org/10.15288/jsad.2019.80.331 CrossRefGoogle ScholarPubMed
Farkas, C., & Vallotton, C. (2016). Differences in infant temperament between Chile and the US. Infant Behavior & Development, 44, 208218. https://doi.org/10.1016/j.infbeh.2016.07.005 CrossRefGoogle ScholarPubMed
Gentina, E., Kilic, D., & Dancoine, P. F. (2017). Distinctive role of opinion leaders in the social networks of school adolescents: An investigation of e-cigarette use. Public Health, 144, 109116. https://doi.org/10.1016/j.puhe.2016.11.020 CrossRefGoogle ScholarPubMed
Gottesman, I. I. (1963). Heritability of personality: A demonstration. Psychological Monographs: General and Applied, 77(9), 121. https://doi.org/10.1037/h0093852 CrossRefGoogle ScholarPubMed
Hallgren, K. A., McCrady, B. S., Caudell, T. P., Witkiewitz, K., & Tonigan, J. S. (2017). Simulating drinking in social networks to inform alcohol prevention and treatment efforts. Psychology of Addictive Behaviors, 31(7), 763774. https://doi.org/10.1037/adb0000308 CrossRefGoogle ScholarPubMed
Harris, P. A., Taylor, R., Minor, B. L., Elliott, V., Fernandez, M., O’Neal, L.Duda, S. N. (2019). The REDCap consortium: Building an international community of software partners. Journal of Biomedical Informatics, 95, 103208.10.1016/j.jbi.2019.103208CrossRefGoogle ScholarPubMed
Hirvonen, R., Väänänen, J., Aunola, K., Ahonen, T., & Kiuru, N. (2018). Adolescents’ and mothers’ temperament types and their roles in early adolescents’ socioemotional functioning. International Journal of Behavioral Development, 42(5), 453463. https://doi.org/10.1177/0165025417729223 CrossRefGoogle ScholarPubMed
Hoffmann, M., Pérez, J. C., García, C., Rojas, G., & Martínez, V. (2017). Chilean adaptation and validation of the Early Adolescent Temperament Questionnaire-Revised version. Frontiers in Psychology, 8, 12. https://doi.org/10.3389/fpsyg.2017.02131 CrossRefGoogle ScholarPubMed
SAS Institute (2013). SAS/ACCESS® 9.4 Interface to ADABAS: Reference, Inc., S. I. [Mobile application software].Google Scholar
Johnston, L. D., Miech, R. A., O’Malley, P. M., Bachman, J. G., Schulenberg, J. E., & Patrick, M. E. (2020). Monitoring the future national survey results on drug use 1975-2019: Overview, key findings on adolescent drug use. Institute for Social Research, University of Michigan, Ann Arbor, MI.10.3998/2027.42/162579CrossRefGoogle Scholar
Kann, L., Kinchen, S., Shanklin, S. L., Flint, K. H., Kawkins, J., Harris, W. A.Centers for Disease Control and Prevention (CDC) (2014). Youth risk behavior surveillance—United States, 2013. Morbidity and Mortality Weekly Report: Surveillance Summaries, 63, 1168.Google Scholar
Kann, L., McManus, T., Harris, W. A., Shanklin, S. L., Flint, K. H., Queen, B.Ethier, K. A. (2018). Youth risk behavior surveillance - United States, 2017. Morbidity and Mortality Weekly Report: Surveillance Summaries, 67(8), 1114, https://doi.org/10.15585/mmwr.ss6708a1 Google ScholarPubMed
Kapetanovic, S., Skoog, T., Bohlin, M., & Gerdner, A. (2020). Does one size fit all?-Linking parenting with adolescent substance use and adolescent temperament. Journal of Research on Adolescence, 30, 443457. https://doi.org/10.1111/jora.12489 CrossRefGoogle ScholarPubMed
Kirkpatrick, M. G., Cho, J., Stone, M. D., Bae, D., Barrington-Trimis, J. L., Pang, R. D.Leventhal, A. M. (2021). Social facilitation of alcohol subjective effects in adolescents: Associations with subsequent alcohol use. Psychopharmacology, 238(3), 887897. https://doi.org/10.1007/s00213-020-05740-4 CrossRefGoogle ScholarPubMed
Kong, G., Bold, K. W., Cavallo, D. A., Davis, D. R., Jackson, A., & Krishnan-Sarin, S. (2021). Informing the development of adolescent e-cigarette cessation interventions: A qualitative study. Addictive Behaviors, 114, 7. https://doi.org/10.1016/j.addbeh.2020.106720 CrossRefGoogle ScholarPubMed
Kong, G., LaVallee, H., Rams, A., Ramamurthi, D., & Krishnan-Sarin, S. (2019). Promotion of vape tricks on YouTube: Content analysis. Journal of Medical Internet Research, 21(6), e12709. https://doi.org/10.2196/12709 CrossRefGoogle ScholarPubMed
Kopala-Sibley, D. C., Olino, T., Durbin, E., Dyson, M. W., & Klein, D. N. (2018). The stability of temperament from early childhood to early adolescence: A multi-method, multi-informant examination. European Journal of Personality, 32(2), 128145. https://doi.org/10.1002/per.2151 CrossRefGoogle ScholarPubMed
Krieger, V., Amador-Campos, J. A., & Gallardo-Pujol, D. (2019). Temperament, executive function, and attention-deficit/hyperactivity disorder (ADHD) in adolescents: The mediating role of effortful control. Journal of Clinical and Experimental Neuropsychology, 41(6), 615633. https://doi.org/10.1080/13803395.2019.1599824 CrossRefGoogle ScholarPubMed
Latham, M. D., Dudgeon, P., Yap, M. B. H., Simmons, J. G., Byrne, M. L., Schwartz, O. S.Allen, N. B. (2020). Factor structure of the Early Adolescent Temperament Questionnaire-revised. Assessment, 27(7), 15471561, https://doi.org/10.1177/1073191119831789 CrossRefGoogle ScholarPubMed
Leal-López, E., Moreno-Maldonado, C., Inchley, J., Deforche, B., Van Havere, T., Van Damme, J.De Clercq, B. (2020). Association of alcohol control policies with adolescent alcohol consumption and with social inequality in adolescent alcohol consumption: A multilevel study in 33 countries and regions. International Journal of Drug Policy, 84, 13, https://doi.org/10.1016/j.drugpo.2020.102854 CrossRefGoogle ScholarPubMed
Lemyre, A., Gauthier-Légaré, A., & Bélanger, R. E. (2019). Shyness, social anxiety, social anxiety disorder, and substance use among normative adolescent populations: A systematic review. The American Journal of Drug and Alcohol Abuse, 45(3), 230247. https://doi.org/10.1080/00952990.2018.1536882 CrossRefGoogle ScholarPubMed
Li, J. J., Savage, J. E., Kendler, K. S., Hickman, M., Mahedy, L., Macleod, J.Dick, D. M. (2017). Polygenic risk, personality dimensions, and adolescent alcohol use problems: A longitudinal study. Journal of Studies on Alcohol and Drugs, 78(3), 442451, https://doi.org/10.15288/jsad.2017.78.442 CrossRefGoogle ScholarPubMed
Lo, Y., Mendell, N. R., & Rubin, D. B. (2001). Testing the number of components in a normal mixture. Biometrika, 88(3), 767778. https://doi.org/10.1093/biomet/88.3.767 CrossRefGoogle Scholar
Mammadov, S., Cross, T. L., & Cross, J. R. (2019). In search of temperament and personality predictors of creativity: A test of a mediation model. Creativity Research Journal, 31(2), 174187. https://doi.org/10.1080/10400419.2019.1577085 CrossRefGoogle Scholar
McLachlan, G., & Peel, D. (2000). Finite mixture models. Wiley 10.1002/0471721182CrossRefGoogle Scholar
Morean, M. E., Butler, E. R., Bold, K. W., Kong, G., Camenga, D. R., Cavallo, D. A.Krishnan-Sarin, S. (2018). Preferring more e-cigarette flavors is associated with e-cigarette use frequency among adolescents but not adults. PLoS One, 13(1), e0189015, https://doi.org/10.1371/journal.pone.0189015,CrossRefGoogle Scholar
Muthén, L. K., & Muthén, B. O. (1998-2011). Mplus user’s guide (6th edn. Muthén & Muthén, Los Angeles, CA.Google Scholar
Nigg, J. T. (2006). Temperament and developmental psychopathology. Journal of Child Psychology and Psychiatry, 47(3-4), 395422. https://doi.org/10.1111/j.1469-7610.2006.01612.x CrossRefGoogle ScholarPubMed
Nunnally, J. C. (1978). Psychometric theory (2nd edn. McGraw-Hill, New York.Google Scholar
O'Hara, R. E., Wang, W., & Troisi, J. D. (2020). Thanksgiving day alcohol use: Associations with expectations and negative affect. Psychological Reports, 123(3), 741758. https://doi.org/10.1177/0033294119835763 CrossRefGoogle ScholarPubMed
Office of the Surgeon General (2018). Surgeon general’s advisory on e-cigarette use among youth. Atlanta, GA, United States: Public Health Service.Google Scholar
Park, E., Livingston, J. A., Wang, W., Kwon, M., Eiden, R. D., & Chang, Y.-P. (2020). Adolescent e-cigarette use trajectories and subsequent alcohol and marijuana use. Addictive Behaviors, 103, 10. https://doi.org/10.1016/j.addbeh.2019.106213 CrossRefGoogle ScholarPubMed
Peeters, M., Oldehinkel, T., & Vollebergh, W. (2017). Behavioral control and reward sensitivity in adolescents’ risk taking behavior: A longitudinal TRAILS study. Frontiers in Psychology, 8, 11. https://doi.org/10.3389/fpsyg.2017.00231 CrossRefGoogle ScholarPubMed
Rabinowitz, J. A., Drabick, D. A. G., Packard, J., & Reynolds, M. D. (2019). Do profiles of adolescent temperament differ on family processes and adult internalizing and externalizing symptoms? Journal of Child and Family Studies, 28(2), 457467. https://doi.org/10.1007/s10826-018-1276-0 CrossRefGoogle Scholar
Rothbart, M. K. (2007). Temperament, development, and personality. Current Directions in Psychological Science, 16(4), 207212. https://doi.org/10.1111/j.1467-8721.2007.00505.x CrossRefGoogle Scholar
Rothbart, M. K., & Derryberry, D. (1981). Development of individual differences in temperament, vol. 1. Guilford Press, New York.Google Scholar
Scalco, M. D., Evans, M., & Colder, C. R. (2021). Understanding the progression from early alcohol use experimentation to alcohol use disorder: Testing vulnerability by experience interactions using a two-part latent growth curve model. Research on Child and Adolescent Psychopathology, 49(6), 789805. https://doi.org/10.1007/s10802-021-00772-6 CrossRefGoogle ScholarPubMed
Schwarz, G. (1978). Quantitative analysis of activation and inactivation of asymmetry currents in biological membranes, based on a conformational transition model. Journal of Membrane Biology, 43(2-3), 149167. https://doi.org/10.1007/bf01933476 CrossRefGoogle ScholarPubMed
Wicki, M., Mallett, K. A., Delgrande, J. M., Reavy, R., Turrisi, R., Archimi, A.Kuntsche, E. (2018). Adolescents who experienced negative alcohol-related consequences are willing to experience these consequences again in the future. Experimental and Clinical Psychopharmacology, 26(2), 132137. https://doi.org/10.1037/pha0000184 CrossRefGoogle ScholarPubMed