Cognitive aptitude, peers, and trajectories of marijuana use from adolescence through young adulthood
Autoři:
Brian C. Kelly aff001; Mike Vuolo aff002
Působiště autorů:
Purdue University, Dept. of Sociology, West Lafayette, Indiana, United States of America
aff001; The Ohio State University, Dept. of Sociology, Columbus, Ohio, United States of America
aff002
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0223152
Souhrn
Background
Using a nationally representative longitudinal cohort, we examine how cognitive aptitude in early adolescence is associated with heterogeneous pathways of marijuana use from age sixteen through young adulthood. We also examine whether this relationship can be explained by the role of cognitive aptitude in the social organization of peer group deviance.
Methods
Using the National Longitudinal Survey of Youth 1997, we identified 5 latent trajectories of frequency of marijuana use between ages 16 and 26: abstainers, dabblers, early heavy quitters, consistent users, and persistent heavy users. Multinomial regression assessed the relationship of cognitive aptitude in early adolescence with these latent trajectories, including the role of peer group substance use in this relationship.
Results
A one decile increase in cognitive aptitude in early adolescence is associated with greater relative risk of the dabbler trajectory (RR = 1.048; p < .001) and consistent user trajectory (RR = 1.126; p < .001), but lower relative risk of the early heavy quitter trajectory (RR = 0.917; p < .05) in comparison with the abstainer trajectory. There was no effect for the persistent heavy user trajectory. The inclusion of peer group substance use–either via illegal drugs or smoking–had no effect on these relationships.
Conclusions
Adolescents who rate higher in cognitive aptitude during early adolescence may be more likely to enter into consistent but not extreme trajectories of marijuana use as they age into young adulthood. Cognition may not influence patterns of marijuana use over time via the organization of peer groups.
Klíčová slova:
Cognitive impairment – Behavior – Mental health and psychiatry – Cognition – Cannabis – Adolescents – Marijuana – Aptitude tests
Zdroje
1. Arnett JJ. Risk Behavior and Family Role Transitions during the Twenties Journal of Youth and Adolescence 1998. 27:301–320.
2. Parker H., Williams L, & Aldridge J. The Normalization of ‘Sensible’ Recreational Drug Use Further Evidence from the North West England Longitudinal Study. Sociology 2002. 36:941–964.
3. Substance Abuse and Mental Health Services Administration. 2017. Key substance use and mental health indicators in the United States: Results from the 2016 National Survey on Drug Use and Health (HHS Publication No. SMA 17–5044, NSDUH Series H-52).
4. Fergusson DM., Horwood LJ, & Swain‐Campbell N. Cannabis use and psychosocial adjustment in adolescence and young adulthood. Addiction 2002. 97:1123–1135. doi: 10.1046/j.1360-0443.2002.00103.x 12199828
5. Kandel DB., Davies M, Karus D, & Yamaguchi K. The Consequences in Young Adulthood of Adolescent Drug Involvement: An Overview. Archives of General Psychiatry 1986.43:746–754. doi: 10.1001/archpsyc.1986.01800080032005 3729669
6. White HR, Aidala A, & Zablocki, B. A longitudinal investigation of drug use and work patterns among middle-class, white adults. The Journal of Applied Behavioral Science 1988. 24:455–469.
7. Volkow ND., Baler RD, Compton WM, & Weiss SRB. Adverse health effects of marijuana use. New England Journal of Medicine 2014. 370 (23): 2219–2227. doi: 10.1056/NEJMra1402309 24897085
8. Fergusson DM. & Boden JM. Cannabis use and later life outcomes. Addiction 2008. 103(6): 969–976. doi: 10.1111/j.1360-0443.2008.02221.x 18482420
9. Brook JS., Lee JY, Brown EN, Finch SJ, & Brook DW. Developmental trajectories of marijuana use from adolescence to adulthood: personality and social role outcomes. Psychological Reports 2011. 108:339–357. doi: 10.2466/10.18.PR0.108.2.339-357 21675549
10. Bechtold J, Simpson T, White HR, & Pardini D. Chronic adolescent marijuana use as a risk factor for physical and mental health problems in young adult men. Psychology of Addictive Behaviors 2015.29:552–63. doi: 10.1037/adb0000103 26237286
11. Ellickson PL., Martino SC, & Collins RL. Marijuana use from adolescence to young adulthood: multiple developmental trajectories and their associated outcomes. Health Psychology 2004.23:299–307. doi: 10.1037/0278-6133.23.3.299 15099171
12. Epstein M, Hill KG, Nevell AM, Guttmannova K, Bailey JA, Abbott RD, et al. Trajectories of marijuana use from adolescence into adulthood: Environmental and individual correlates. Developmental Psychology 2015. 51:1650–1663. doi: 10.1037/dev0000054 26389603
13. Pardini D, Bechtold J, Loeber R, & White H. Developmental trajectories of marijuana use among men: examining linkages with criminal behavior and psychopathic features into the mid-30s. Journal of Research in Crime and Delinquency 2015. 52:797–828. doi: 10.1177/0022427815589816 26568641
14. Schulenberg JE., Merline AC, Johnston LD, O'Malley PM, Bachman JG, & Laetz VB. Trajectories of marijuana use during the transition to adulthood: The big picture based on national panel data. Journal of Drug Issues 2015. 35:255–280.
15. Kelly B.C., & Vuolo M. Trajectories of marijuana use and the transition to adulthood. Social Science Research 2018. 73: 175–188. doi: 10.1016/j.ssresearch.2018.03.006 29793685
16. Gogtay N., Giedd J.N., Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, et al. Dynamic mapping of human cortical development during childhood through early adulthood. Proceedings of the National Academy of Sciences 2004. 101(21): 8174–8179.
17. Patton G. C., Coffey C, Carlin J.B., Degenhardt L, Lynskey M, & Hall W. Cannabis use and mental health in young people: cohort study." BMJ 2002.325(7374): 1195–1198. doi: 10.1136/bmj.325.7374.1195 12446533
18. Caspi A, Moffitt T.E., Cannon M, McClay J, Murray R, Harrington H, et al. Moderation of the effect of adolescent-onset cannabis use on adult psychosis by a functional polymorphism in the catechol-O-methyltransferase gene: longitudinal evidence of a gene X environment interaction. Biological Psychiatry 2005. 57(10): 1117–1127. doi: 10.1016/j.biopsych.2005.01.026 15866551
19. Di Forti M., Marconi A, Carra E, Fraietta S, Trotta A, Bonomo M, et al. Proportion of patients in south London with first-episode psychosis attributable to use of high potency cannabis: a case-control study. The Lancet Psychiatry 2015. 2(3): 233–238. doi: 10.1016/S2215-0366(14)00117-5 26359901
20. Ramaekers J. G., Kauert G., van Ruitenbeek P., Theunissen E. L., Schneider E., & Moeller M. R. High-potency marijuana impairs executive function and inhibitory motor control. Neuropsychopharmacology, 2006.31(10), 2296. doi: 10.1038/sj.npp.1301068 16572123
21. Ranganathan M, & D’Souza D.C. "The acute effects of cannabinoids on memory in humans: a review." Psychopharmacology 2006. 188 (4): 425–444. doi: 10.1007/s00213-006-0508-y 17019571
22. Crean R.D., Crane N.A., & Mason B.J. An evidence based review of acute and long-term effects of cannabis use on executive cognitive functions. Journal of Addiction Medicine 2011. 5(1): 1. doi: 10.1097/ADM.0b013e31820c23fa 21321675
23. Schuster R.M., Gilman J., Schoenfeld D, Evenden J, Hareli M, Ulysse C, et al. One Month of Cannabis Abstinence in Adolescents and Young Adults Is Associated With Improved Memory. Journal of Clinical Psychiatry 2018. 79, (6): 17m11977. doi: 10.4088/JCP.17m11977 30408351
24. Scott J.C., Slomiak S.T., Jones J.D., Rosen A.F.G., Moore T.M., and Gur R.C. Association of cannabis with cognitive functioning in adolescents and young adults: A systematic review and meta-analysis. JAMA Psychiatry 2018. 75(6): 585–595. doi: 10.1001/jamapsychiatry.2018.0335 29710074
25. Jackson N.J., Isen J.D, Khoddam R, Irons D, Tuvblad C, Iacono W.G., et al. Impact of adolescent marijuana use on intelligence: Results from two longitudinal twin studies. Proceedings of the National Academy of Sciences 2016.113:E500–E508.
26. Meier M.H., Caspi A, Danese A, Fisher H.L, Houts R, Arseneault L, & Moffitt T.E Associations between adolescent cannabis use and neuropsychological decline: a longitudinal co‐twin control study. Addiction 2018. 113(2): 257–265. doi: 10.1111/add.13946 28734078
27. White J. & Batty G.D. Intelligence across childhood in relation to illegal drug use in adulthood: 1970 British Cohort Study. Journal of Epidemiology and Community Health 2012. 66 (9): 767–774. doi: 10.1136/jech-2011-200252 22086967
28. Williams J. & Hagger-Johnson G. Childhood academic ability in relation to cigarette, alcohol and cannabis use from adolescence into early adulthood: Longitudinal Study of Young People in England (LSYPE). BMJ Open 2017.7 (2): e012989. doi: 10.1136/bmjopen-2016-012989 28228447
29. Storr C.L., Wagner F.A., Chen C.Y., & Anthony J.C. Childhood predictors of first chance to use and use of cannabis by young adulthood. Drug and Alcohol Dependence 2011. 117 (1): 7–15. doi: 10.1016/j.drugalcdep.2010.12.023 21288658
30. Murray C., Johnson W., Wolf M.S., Deary I.J. The association between cognitive ability across the lifespan and health literacy in old age: The Lothian Birth Cohort 1936. Intelligence 2011. 39(4): 178–187.
31. De Graaf N.D., De Graaf P.M., & Kraaykamp G. Parental cultural capital and educational attainment in the Netherlands: A refinement of the cultural capital perspective. Sociology of Education 2000.92–111.
32. Deary I.J., Strand S., Smith P., & Fernandes C. Intelligence and educational achievement. Intelligence 2007. 35(1): 13–21.
33. Clouston S.A.P., Rubin M.S., Chae D., Freese J., Nemesure B., & Link B. Fundamental Causes of Accelerated Declines in Colorectal Cancer Mortality: Modeling Multiple Ways that Disadvantage Influences Mortality Risk. Social Science & Medicine 2017. 187:1–10.
34. Stacy A. W. Memory activation and expectancy as prospective predictors of alcohol and marijuana use. Journal of abnormal psychology, 1997. 106(1), 61. doi: 10.1037//0021-843x.106.1.61 9103718
35. Boutwell B. B., Meldrum R. C., & Petkovsek M. A. General intelligence in friendship selection: A study of preadolescent best friend dyads. Intelligence, 2017. 64, 30–35.
36. McPherson M., Smith-Lovin L., & Cook J.M. Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology 2001. 27:415–444.
37. Kandel D.B. Homophily, selection, and socialization in adolescent friendships. American Journal of Sociology 1978.84, (2): 427–436.
38. Flashman J. Academic achievement and its impact on friend dynamics. Sociology of Education 2012.85:61–80. doi: 10.1177/0038040711417014 25705057
39. Frank K.A., Muller C, Schiller K.S., Riegle-Crumb C., Strassmann Mueller A., Crosnoe R, et al. The social dynamics of mathematics coursetaking in high school. American Journal of Sociology 2008. 113:1645–1696.
40. Kubitschek W.N., & Hallinan M.T. Tracking and students’ friendships. Social Psychology Quarterly 1998.61:1–15.
41. Crosnoe R. High school curriculum track and adolescent association with delinquent friends. Journal of Adolescent Research 2002. 17:143–167.
42. Newcomb M. D. and Bentler P. M. Consequences of Adolescent Drug Use. 1988. Newbury Park , CA : Sage Publications.
43. Krohn M.D., Lizotte A.J., & Perez C.M. The interrelationship between substance use and precocious transitions to adult statuses. Journal of Health and Social Behavior 1997.38:87–103. 9097510
44. Haynie D.L. Contexts of risk? Explaining the link between girls' pubertal development and their delinquency involvement. Social Forces 2003. 82(1): 355–397.
45. Agnew R. Foundation for a general strain theory of crime and delinquency. Criminology 1992. 30(1): 47–88.
46. Huttunen A., Salmivalli C., and Lagerspetz K.M.J. Friendship networks and bullying in schools. Annals of the New York Academy of Sciences 1996 794(1): 355–359.
47. Sentse M., Kiuru N, Veenstra R., & Salmivalli C. A social network approach to the interplay between adolescents’ bullying and likeability over time. Journal of Youth and Adolescence 2014 43(9): 1409–1420. doi: 10.1007/s10964-014-0129-4 24752280
48. Yang Y. Aging, Cohorts, & Methods. Pp. 17–30 in Handbook of Aging and the Social Sciences. by Binstock R. H and George L. K (Eds). 2010. New York: Academic Press.
49. Chen X., Yu B., Lasopa S.O., & Cottler L.B. Current patterns of marijuana use initiation by age among US adolescents and emerging adults: implications for intervention. American Journal of Drug and Alcohol Abuse 2017. 43: 261–270. doi: 10.3109/00952990.2016.1165239 27211100
50. Welsh J.R., Kucinkas S.K., & Curran L.T. Armed Services Vocational Aptitude Battery (ASVAB): integrative review of validity studies. Air Force Human Resources Laboratory, Air Force Systems Command, 1990.
51. Koenig K. A., Frey M. C., & Detterman D. K. ACT and general cognitive ability. Intelligence, 2008. 36(2), 153–160.
52. Cawley J., Conneely K., Heckman J., & Vytlacil E. Cognitive ability, wages, and meritocracy. In Intelligence, genes, and success (pp. 179–192). 1997. Springer, New York, NY.
53. Der G., Batty G. D., & Deary I. J. The association between IQ in adolescence and a range of health outcomes at 40 in the 1979 US National Longitudinal Study of Youth. Intelligence, 2009. 37(6), 573–580. doi: 10.1016/j.intell.2008.12.002 19907663
54. Heckman J. J., Stixrud J., & Urzua S. The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. Journal of Labor Economics, 2006. 24(3), 411–482.
55. Cawley J., Heckman J., & Vytlacil E. Three observations on wages and measured cognitive ability. Labour Economics, 2001. 8(4), 419–442.
56. Kilmer B., & MacCoun R.J. "How medical marijuana smoothed the transition to marijuana legalization in the United States." Annual Review of Law and Social Science 2017. 13: 181–202.
57. Substance Abuse and Mental Health Services Administration. Key substance use and mental health indicators in the United States: Results from the 2018 National Survey on Drug Use and Health. 2019. Rockville, MD: Center for Behavioral Health Statistics and Quality, Substance Abuse and Mental Health Services Administration.
58. Johnston L. D., Miech R. A., O’Malley P. M., Bachman J. G., Schulenberg J. E., & Patrick M. E. Monitoring the Future national survey results on drug use 1975–2018: Overview, key findings on adolescent drug use. 2019. Ann Arbor: Institute for Social Research, University of Michigan.
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