Comparing growth trajectories of risk behaviors from late adolescence through young adulthood: an accelerated design.
- Authors
- Brodbeck, Jeannette; Bachmann, Monica S; Croudace, Tim J; Brown, Anna
- Year
- 2013
- Journal
- Developmental psychology
- PMID
- 23231693
- DOI
- 10.1037/a0030873
- PMCID
- PMC3760598
Risk behaviors such as substance use or deviance are often limited to the early stages of the life course. Whereas the onset of risk behavior is well studied, less is currently known about the decline and timing of cessation of risk behaviors of different domains during young adulthood. Prevalence and longitudinal developmental patterning of alcohol use, drinking to the point of drunkenness, smoking, cannabis use, deviance, and HIV-related sexual risk behavior were compared in a Swiss community sample (N = 2,843). Using a longitudinal cohort-sequential approach to link multiple assessments with 3 waves of data for each individual, the studied period spanned the ages of 16 to 29 years. Although smoking had a higher prevalence, both smoking and drinking up to the point of drunkenness followed an inverted U-shaped curve. Alcohol consumption was also best described by a quadratic model, though largely stable at a high level through the late 20s. Sexual risk behavior increased slowly from age 16 to age 22 and then remained largely stable. In contrast, cannabis use and deviance linearly declined from age 16 to age 29. Young men were at higher risk for all behaviors than were young women, but apart from deviance, patterning over time was similar for both sexes. Results about the timing of increase and decline as well as differences between risk behaviors may inform tailored prevention programs during the transition from late adolescence to adulthood.
| Name | Type |
|---|---|
| 16-year-olds local | cohort |
| 5-year follow-up (T3) local | cohort |
| Accident local | phenotype |
| adolescents | cohort |
| age | phenotype |
| alcohol | phenotype |
| Alcohol poisoning | phenotype |
| alcohol to the point of drunkenness local | drug |
| Alcohol Use | phenotype |
| Attrition | phenotype |
| Attrition rate local | phenotype |
| Baseline sample local | cohort |
| cannabis use | phenotype |
| dependency | phenotype |
| deviance | phenotype |
| drinking | phenotype |
| Drinking to drunkenness local | phenotype |
| dropout group local | cohort |
| Drug overdose local | phenotype |
| drugs | drug |
| drunkenness local | drug |
| drunkenness | phenotype |
| education | phenotype |
| emerging adulthood | cohort |
| employed | phenotype |
| Employment: employed local | phenotype |
| HIV-related sexual risk behavior local | phenotype |
| illicit drugs | phenotype |
| illicit drug use | phenotype |
| Individuals aged 16-29 local | cohort |
| Lee et al. 2010 local | cohort |
| Low psychosocial adjustment local | phenotype |
| marital status | phenotype |
| number of partners local | phenotype |
| online questionnaire group local | cohort |
| participants | cohort |
| Professional training local | phenotype |
| random urban Swiss community sample local | cohort |
| Responsible moderate alcohol consumption local | phenotype |
| Risk Behavior and Well-Being in Adolescence and Young Adulthood study local | cohort |
| risk taking | phenotype |
| RIWA study local | cohort |
| Second wave (T2) local | cohort |
| sex | phenotype |
| sexual intercourse with a new stable partner without condoms and with no HIV testing local | phenotype |
| sexual intercourse without condom use with a casual partner local | phenotype |
| Sexually transmitted disease local | phenotype |
| sexual risk behavior local | phenotype |
| Sexual risk behavior local | phenotype |
| Sexual risk behavior per year local | phenotype |
| smoking | phenotype |
| smoking frequency | phenotype |
| study cohort | cohort |
| substance abuse | phenotype |
| substances | phenotype |
| Substance use per month local | phenotype |
| Swiss urban adolescents and young adults local | cohort |
| Switzerland | cohort |
| T1 local | cohort |
| T2 local | cohort |
| T3 local | cohort |
| Terry-McElrath and OβMalley 2011 local | cohort |
| Theft | phenotype |
| tobacco use | phenotype |
| United States | cohort |
| unprotected sex | phenotype |
| US national samples of 10th to 12th graders 2001β2005 local | cohort |
| U.S. study (Kan et al., 2010) local | cohort |
| violence | phenotype |
| women | cohort |
| young adults | cohort |
| younger cohort | cohort |
| young men | cohort |
No uploaded files.
| Citation | PMID | DOI | Status |
|---|---|---|---|
| AllenN. B., & SheeberL. B. (Eds.). (2009). Adolescent emotional development and the emergence of depressive disorders. Cambridge, England: Cambridge University Press. doi:10.1017/CBO9780511551963 | β | β | β |
| ArnettJ. J. (2004). Emerging adulthood: The winding road from the late teens through the twenties. New York, NY: Oxford University Press. | β | β | β |
| AsparouhovT., & MuthΓ©nB. (2010). Multiple imputation with Mplus. Available at http://www.statmodel.com/download/Imputations7.pdf | β | β | β |
| BentlerP. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238β246. doi:10.1037/0033-2909.107.2.238232070310.1037/0033-2909.107.2.238 | β | β | β |
| BentlerP. M. (1992). On the fit of models to covariances and methodology to the Bulletin. Psychological Bulletin, 112, 400β404. doi:10.1037/0033-2909.112.3.400143863510.1037/0033-2909.112.3.400 | β | β | β |
| BrodbeckJ., MatterM., & MoggiF. (2006). Association of cannabis use and sexual risk behavior among young heterosexual adults. AIDS and Behavior, 10, 599β605. doi:10.1007/s10461-006-9103-91669146110.1007/s10461-006-9103-9 | β | β | β |
| BrodbeckJ., MatterM., PageJ., & MoggiF. (2007). Motives for cannabis use as a moderator variable of distress among young adults. Addictive Behaviors, 32, 1537β1545. doi:10.1016/j.addbeh.2006.11.0121717819710.1016/j.addbeh.2006.11.012 | β | β | β |
| BrodbeckJ., VilΓ©nL., BachmannM., AlsakerF. D., & ZnojH. (2010). Predictors of sexual risk behavior in a five-year perspective: The role of psychosocial distress and hedonism. AIDS Education and Prevention, 22, 148β159.2038798510.1521/aeap.2010.22.2.148 | β | β | β |
| ChenP., & JacobsonK. C. (2012). Developmental trajectories of substance use from early adolescence to young adulthood: Gender and racial/ethnic differences. Journal of Adolescent Health, 50, 154β163. doi:10.1016/j.jadohealth.2011.05.0132226511110.1016/j.jadohealth.2011.05.013PMC3264901 | β | β | β |
| Di FranzaJ. R., SavageauJ. A., RigottiN. A., FletcherK. E., OckeneJ. K., McNeillA. D., WoodC. (2002). Development of symptoms of tobacco dependence in youths: 30 month follow up data from the DANDY study. Tobacco Control, 11, 228β235.1219827410.1136/tc.11.3.228PMC1759001 | β | β | β |
| DuangpatraK. N. K., BradleyG. L., & GlendonA. I. (2009). Variables affecting emerging adultsβ self-reported risk and reckless behaviors. Journal of Applied Developmental Psychology, 30, 298β309. doi:10.1016/j.appdev.2008.12.011 | β | β | β |
| FergusS., ZimmermanM. A., & CaldwellC. H. (2007). Sexual risk behavior in adolescence and young adulthood. American Journal of Public Health, 97, 1096β1101. doi:10.2105/AJPH.2005.0746091746337910.2105/AJPH.2005.074609PMC1874221 | β | β | β |
| FranzkowiakP. (1987). Risk-taking and adolescent development: The functions of smoking and alcohol consumption in adolescence and its consequences for prevention. Health Promotion, 2(1), 51β61.22208515 | β | β | β |
| HammondD. (2005). Smoking behaviour among young adults: Beyond youth prevention. Tobacco Control, 14, 181β185. doi:10.1136/tc.2004.0096211592346810.1136/tc.2004.009621PMC1748046 | β | β | β |
| HurrelmannK., & RichterM. (2006). Risk behaviour in adolescence: The relationship between developmental and health problems. Journal of Public Health, 14, 20β28. doi:10.1007/s10389-005-0005-5 | β | β | β |
| JacksonK. M., SherK. J., & SchulenbergJ. E. (2008). Conjoint developmental trajectories of young adult substance use. Alcoholism: Clinical and Experimental Research, 32, 723β737. doi:10.1111/j.1530-0277.2008.00643.x10.1111/j.1530-0277.2008.00643.xPMC270599718331376 | β | β | β |
| JessorR., & JessorS. L. (1977). Problem behavior and psychosocial development: A longitudinal study of youth. New York, NY: Academic Press. | β | β | β |
| JohnstonL. D., OβMalleyP. M., BachmanJ. G., & SchulenbergJ. E. (2012). Monitoring the future: National results on adolescent drug use: Overview of key findings, 2011. Retrieved from http://www.monitoringthefuture.org/pubs/monographs/mtf-overview2011.pdf | β | β | β |
| KanM. L., ChengY. A., LandaleN. S., & McHaleS. M. (2010). Longitudinal predictors of change in number of sexual partners across adolescence and early adulthood. Journal of Adolescent Health, 46, 25β31. doi:10.1016/j.jadohealth.2009.05.0022012325410.1016/j.jadohealth.2009.05.002PMC2817988 | β | β | β |
| LeeC., MunE., WhiteH. R., & SimonP. (2010).: Substance use trajectories of Black and White young men from adolescence to emerging adulthood: A two-part growth curve analysis. Journal of Ethnicity in Substance Abuse, 9, 301β319. doi:10.1080/15332640.2010.5228982116181110.1080/15332640.2010.522898PMC3565242 | β | β | β |
| MaggsJ. L., & SchulenbergJ. E. (2004β2005). Trajectories of alcohol use during the transition to adulthood. Alcohol Research & Health, 28, 195β201. | β | β | β |
| MasonW. A., HitchJ. E., KostermanR., McCartyC. A., HerrenkohlT. I., & HawkinsJ. D. (2010). Growth in adolescent delinquency and alcohol use in relation to young adult crime, alcohol use disorders, and risky sex: A comparison of youth from low- versus middle-income backgrounds. Journal of Child Psychology and Psychiatry, 51, 1377β1385. doi:10.1111/j.1469-7610.2010.02292.x2065918810.1111/j.1469-7610.2010.02292.xPMC2980793 | β | β | β |
| MoffittT. E. (2006). Life-course-persistent versus adolescence-limited antisocial behavior. In CicchettiD. & CohenD. J. (Eds.), Developmental psychopathology: Vol. 3. Risk, disorder, and adaptation. Hoboken, NJ: Wiley. | β | β | β |
| MuthΓ©nB., & MuthΓ©nL. (1998β2011). Mplus userβs guide. Los Angeles, CA: Author. | β | β | β |
| PerkoniggA., GoodwinR. D., FiedlerA., BehrendtS., BeesdoK., LiebR., & WittchenH.-U. (2008). The natural course of cannabis use, abuse and dependence during the first decades of life. Addiction, 103, 439β449.1826936410.1111/j.1360-0443.2007.02064.x | β | β | β |
| PiaseckiT. M. (2006). Relapse to smoking. Clinical Psychology Review, 26, 196β215. doi:10.1016/j.cpr.2005.11.0071635238210.1016/j.cpr.2005.11.007 | β | β | β |
| PreacherK. J.,WichmanA. L.,MacCallumR. C., & BriggsN. E. (2008). Latent growth curve modeling. Thousand Oaks, CA: Sage. | β | β | β |
| SteigerJ. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173β180. doi:10.1207/s15327906mbr2502_410.1207/s15327906mbr2502_426794479 | β | β | β |
| Terry-McElrathY. M., & OβMalleyP. M. (2011). Substance use and exercise participation among young adults: Parallel trajectories in a national cohort-sequential study. Addiction, 106, 1855β1865. doi:10.1111/j.1360-0443.2011.03489.x2156149610.1111/j.1360-0443.2011.03489.xPMC3174354 | β | β | β |
| TuckerL. R., & LewisC. (1973). Reliability coefficient for maximum likelihood factor-analysis. Psychometrika, 38, 1β10. doi:10.1007/BF02291170 | β | β | β |
In this knowledge base
| Title | Year | PMID |
|---|---|---|
| A Long-Term Longitudinal Examination of the Effect of Early Onset of Alcohol and Drug Use on Later Alcohol Abuse. | 2015 | 25671782 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Factor Structure of the Sexual Risk Survey Among U.S. College Students with and without ADHD: Assessing Clinical Utility with a High-Risk Population. | Francis AR et al. | β | 2022 | β |
| Negative messages from parents and sisters and Latina college students' body image shame. | Rivero A et al. | β | 2022 | β |
| Smoking trajectories from adolescence to early adulthood as a longitudinal predictor of mental health in adulthood: evidence from 21βyears of a nationally representative cohort. | Lee B et al. | β | 2022 | β |
| Diabetes-Specific Risk-Taking in Young Adulthood: A Closer Look. | Wasserman RM et al. | β | 2021 | β |
| Fine and gross motor skills predict later psychosocial maladaptation and academic achievement. | Katagiri M et al. | β | 2021 | β |
| Profiles of Childhood Maltreatment: Associations with Sexual Risk Behavior during Adolescence in a Sample of Racial/Ethnic Minority Girls. | Niu L et al. | β | 2021 | β |
| Perceived Experiences of Discrimination and Latino/a Young Adults' Personal and Relational Well-being. | Killoren SE et al. | β | 2020 | β |
| Food allergy-related concerns during the transition to self-management. | Protudjer JLP et al. | β | 2019 | β |
| Racial/ethnic differences in life-course heavy drinking from adolescence to midlife. | Mulia N et al. | β | 2018 | β |
| Age of initiation and substance use progression: A multivariate latent growth analysis. | Richmond-Rakerd LS et al. | β | 2017 | β |
| Continuity of drunk and drugged driving behaviors four years post-college. | Caldeira KM et al. | β | 2017 | β |
| Flexing dual-systems models: How variable cognitive control in children informs our understanding of risk-taking across development. | Li R | β | 2017 | β |
| Life-course and Cohort Trajectories of Chronic Non-communicable Diseases Risk Factors in China. | Yang F et al. | β | 2017 | β |
| Drinking Like an Adult? Trajectories of Alcohol Use Patterns Before and After College Graduation. | Arria AM et al. | β | 2016 | β |
| Exploring the relationship between disease-related knowledge and health risk behaviours in young people with congenital heart disease. | Janssens A et al. | β | 2016 | β |
| Trajectories of Alcohol Use and Binge Drinking Among Pregnant Inuit Women. | Fortin M et al. | β | 2016 | β |
| A Long-Term Longitudinal Examination of the Effect of Early Onset of Alcohol and Drug Use on Later Alcohol Abuse. | Ohannessian CM et al. | β | 2015 | β |
| Blame it on the alcohol: the influence of alcohol consumption during adolescence, the transition to adulthood, and young adulthood on one-time sexual hookups. | Johnson MD et al. | β | 2015 | β |
| Changes in gender and racial/ethnic disparities in rates of cigarette use, regular heavy episodic drinking, and marijuana use: ages 14 to 32. | Evans-Polce RJ et al. | β | 2015 | β |
| If one goes up the other must come down: Examining ipsative relationships between math and English self-concept trajectories across high school. | Parker PD et al. | β | 2015 | β |
| A newly identified group of adolescents at "invisible" risk for psychopathology and suicidal behavior: findings from the SEYLE study. | Carli V et al. | β | 2014 | β |