Youth Health Data Briefs

Research highlights from the ABCD Study®

The ABCD Study has advanced our understanding of child and adolescent health, generating a large and
continuously expanding body of peer-reviewed research.


Raising Resilient Teens:
What Parents Can Do
to Support Adolescent
Well-Being

References

Raising Resilient Teens: What Parents Can Do to Support Adolescent Well-Being

  1. Alexander JD, Nguyen-Louie TT, Gupta S, Cummins KM, Wade NE. Adolescent smartphone use, sleep, and physical activity: Daily associations between sensor-based measures in the adolescent brain cognitive development (ABCD) study. Psychiatry Res. 2025;349:116523. doi:10.1016/j.psychres.2025.116523
  2. Al-Shoaibi AAA, Zamora G, Chu J, et al. Family conflict and less parental monitoring were associated with greater screen time in early adolescence. Acta Paediatr. 2024;113(11):2452-2458. doi:10.1111/apa.17349
  3. Doran N, Robledo Gonzalez M, Courtney KE, et al. Social Cognitive Influences Associated With Susceptibility to Nicotine and Tobacco Use in Youth in the Adolescent Brain Cognitive Development (ABCD) Study. J Stud Alcohol Drugs. 2025;86(4):521-529. doi:10.15288/jsad.24-00041
  4. Gonzalez MR, Palmer CE, Uban KA, Jernigan TL, Thompson WK, Sowell ER. Positive Economic, Psychosocial, and Physiological Ecologies Predict Brain Structure and Cognitive Performance in 9-10-Year-Old Children. Front Hum Neurosci. 2020;14:578822. Published 2020 Oct 28. doi:10.3389/fnhum.2020.578822
  5. Guerrero MD, Barnes JD, Chaput JP, Tremblay MS. Screen time and problem behaviors in children: Exploring the mediating role of sleep duration. Int J Behav Nutr Phys Act. 2019;16(1):105. Published 2019 Nov 14. doi:10.1186/s12966-019-0862-x
  6. Harris JC, Wilson IG, Cardenas-Iniguez C, Watts AL, Lisdahl KM. The Childhood Opportunity Index 2.0: Factor Structure in 9-10 Year Olds in the Adolescent Brain Cognitive Development Study. Int J Environ Res Public Health. 2025;22(2):228. Published 2025 Feb 6. doi:10.3390/ijerph22020228
  7. Li Q, Whittle S, Rakesh D. Longitudinal Associations Between Greenspace Exposure, Structural Brain Development, and Mental Health and Academic Performance During Early Adolescence. Biol Psychiatry. Published online April 11, 2025. doi:10.1016/j.biopsych.2025.03.026
  8. Moore A, Lewis B, Elton A, Squeglia LM, Nixon SJ. An investigation of multimodal predictors of adolescent alcohol initiation. Drug Alcohol Depend. 2024;265:112491. doi:10.1016/j.drugalcdep.2024.112491
  9. Nagata JM, Cheng CM, Shim J, et al. Bedtime Screen Use Behaviors and Sleep Outcomes in Early Adolescents: A Prospective Cohort Study. J Adolesc Health. 2024;75(4):650-655. doi:10.1016/j.jadohealth.2024.06.006
  10. Nagata JM, Lee CM, Hur JO, Baker FC. What we know about screen time and social media in early adolescence: A review of findings from the Adolescent Brain Cognitive Development Study. Curr Opin Pediatr. 2025;37(4):357–364. doi:10.1097/MOP.0000000000001462
  11. Nagata JM, Li K, Sui SS, et al. Associations between media parenting practices and early adolescent consumption of R-rated movies and mature-rated video games. BMC Pediatr. 2025;25(1):90. Published 2025 Feb 4. doi:10.1186/s12887-024-05367-w
  12. Nagata JM, Shim J, Low P, et al. Prospective association between screen use modalities and substance use experimentation in early adolescents. Drug Alcohol Depend. 2025;266:112504. doi:10.1016/j.drugalcdep.2024.112504
  13. Paulich KN, Ross JM, Lessem JM, Hewitt JK. Screen time and early adolescent mental health, academic, and social outcomes in 9- and 10- year old children: Utilizing the Adolescent Brain Cognitive Development ℠ (ABCD) Study. PLoS One. 2021;16(9):e0256591. Published 2021 Sep 8. doi:10.1371/journal.pone.0256591
  14. Pelham WE 3rd, Tapert SF, Gonzalez MR, et al. How Does Parental Monitoring Reduce Adolescent Substance Use? Preliminary Tests of Two Potential Mechanisms. J Stud Alcohol Drugs. 2024;85(3):389-394. doi:10.15288/jsad.23-00297
  15. Rakesh D, Flournoy JC, McLaughlin KA. Associations between socioeconomic status and mental health trajectories during early adolescence: Findings from the Adolescent Brain Cognitive Development study. JCPP Advances. 2025;e70001. Published 2025 Feb 25. doi:10.1002/jcv2.70001
  16. Roberston L, Twenge JM, Joiner TE, Cummins K. Associations between screen time and internalizing disorder diagnoses among 9- to 10-year-olds. J Affect Disord. 2022;311:530-537. doi:10.1016/j.jad.2022.05.071
  17. Sartor CE, Latendresse SJ, Jackson KM, et al. Parents’ perspectives and behaviors regarding their child’s access to alcohol: Variation by race/ethnicity, socioeconomic status, and neighborhood. Alcohol Clin Exp Res (Hoboken). 2025;49(1):234–243. doi:10.1111/acer.15498
  18. Weissman DG, Hatzenbuehler ML, Cikara M, Barch DM, McLaughlin KA. State-level macro-economic factors moderate the association of low income with brain structure and mental health in U.S. children. Nat Commun. 2023;14(1):2085. Published 2023 May 2. doi:10.1038/s41467-023-37778-1
  19. Wojciechowski T. Dual Systems Imbalance as a Predictor of Marijuana Use Risk: Examining Parental Monitoring as a Moderator. J Drug Issues. 2025; 0:0. doi: 10.1177/00220426251326168
  20. Wojciechowski T. Understanding time to vaping onset in childhood and adolescence: A dual systems model approach. Drug Alcohol Depend. 2025;268:112575. doi:10.1016/j.drugalcdep.2025.112575
  21. Xu LX, Song KR, Deng HY, et al. Beyond screen time: The core influences of problematic screen use on adolescent development networks. J Behav Addict. 2025;14(2):724–737. Published 2025 Apr 28. doi:10.1556/2006.2025.00035