Longitudinal analysis of the ABCD�� study.

Samuel W Hawes, Andrew K Littlefield, Daniel A Lopez, Kenneth J Sher, Erin L Thompson, Raul Gonzalez, Laika Aguinaldo, Ashley R Adams, Mohammadreza Bayat, Amy L Byrd, Luis Fs Castro-de-Araujo, Anthony Dick, Steven F Heeringa, Christine M Kaiver, Sarah M Lehman, Lin Li, Janosch Linkersd��rfer, Thomas J Maullin-Sapey, Michael C Neale, Thomas E Nichols, Samantha Perlstein, Susan F Tapert, Colin E Vize, Margot Wagner, Rebecca Waller, Wesley K Thompson
Author Information
  1. Samuel W Hawes: Center for Children & Families, Florida International University, Miami, FL, USA. Electronic address: shawes@fiu.edu.
  2. Andrew K Littlefield: Psychological Sciences, Texas Tech University, Lubbock, TX, USA. Electronic address: andrew.littlefield@ttu.edu.
  3. Daniel A Lopez: Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA. Electronic address: lopdanie@ohsu.edu.
  4. Kenneth J Sher: Psychological Sciences, University of Missouri, Columbia, MO, USA. Electronic address: SherK@missouri.edu.
  5. Erin L Thompson: Center for Children & Families, Florida International University, Miami, FL, USA. Electronic address: erthomps@fiu.edu.
  6. Raul Gonzalez: Center for Children & Families, Florida International University, Miami, FL, USA. Electronic address: gonzara@fiu.edu.
  7. Laika Aguinaldo: Department of Psychiatry, University of California San Diego, San Diego, CA, USA. Electronic address: laaguinaldo@health.ucsd.edu.
  8. Ashley R Adams: Center for Children & Families, Florida International University, Miami, FL, USA. Electronic address: asadams@fiu.edu.
  9. Mohammadreza Bayat: Center for Children & Families, Florida International University, Miami, FL, USA. Electronic address: mbayat@fiu.edu.
  10. Amy L Byrd: Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: byrdal@upmc.edu.
  11. Luis Fs Castro-de-Araujo: Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: Luis.Araujo@vcuhealth.org.
  12. Anthony Dick: Cognitive Neuorscience, Florida International University, Miami, FL, USA. Electronic address: adick@fiu.edu.
  13. Steven F Heeringa: Institute for Social Research, University of Michigan, Ann Arbor, MI, USA. Electronic address: sheering@umich.edu.
  14. Christine M Kaiver: Center for Children & Families, Florida International University, Miami, FL, USA. Electronic address: ckaiv001@fiu.edu.
  15. Sarah M Lehman: Center for Children & Families, Florida International University, Miami, FL, USA. Electronic address: slehman@fiu.edu.
  16. Lin Li: Department of Radiology, University of California San Diego, San Diego, CA, USA. Electronic address: lil033@ucsd.edu.
  17. Janosch Linkersd��rfer: Center for Human Development, University of California San Diego, San Diego, CA, USA. Electronic address: jlinkersdoerfer@ucsd.edu.
  18. Thomas J Maullin-Sapey: School of Mathematics, University of Bristol, Bristol, United Kingdom. Electronic address: Thomas.Maullin-Sapey@bristol.ac.uk.
  19. Michael C Neale: Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA. Electronic address: Michael.Neale@vcuhealth.org.
  20. Thomas E Nichols: Oxford Big Data Institute, University of Oxford, Oxford, United Kingdom. Electronic address: thomas.nichols@bdi.ox.ac.uk.
  21. Samantha Perlstein: Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: sperl@sas.upenn.edu.
  22. Susan F Tapert: Department of Psychiatry, University of California San Diego, San Diego, CA, USA. Electronic address: stapert@ucsd.edu.
  23. Colin E Vize: Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA. Electronic address: CEV18@pitt.edu.
  24. Margot Wagner: The Institute for Neural Computation, University of California San Diego, San Diego, CA, USA. Electronic address: mwagner@ucsd.edu.
  25. Rebecca Waller: Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: rwaller@sas.upenn.edu.
  26. Wesley K Thompson: Center for Population Neuroscience and Genetics, Laureate Institute for Brain Research, Tulsa, OK, USA. Electronic address: wes.stat@gmail.com.

Abstract

The Adolescent Brain Cognitive Development�� (ABCD) Study provides a unique opportunity to investigate developmental processes in a large, diverse cohort of youths, aged approximately 9-10 at baseline and assessed annually for 10 years. Given the size and complexity of the ABCD Study, researchers analyzing its data will encounter a myriad of methodological and analytical considerations. This review provides an examination of key concepts and techniques related to longitudinal analyses of the ABCD Study data, including: (1) characterization of the factors associated with variation in developmental trajectories; (2) assessment of how level and timing of exposures may impact subsequent development; (3) quantification of how variation in developmental domains may be associated with outcomes, including mediation models and reciprocal relationships. We emphasize the importance of selecting appropriate statistical models to address these research questions. By presenting the advantages and potential challenges of longitudinal analyses in the ABCD Study, this review seeks to equip researchers with foundational knowledge and tools to make informed decisions as they navigate and effectively analyze and interpret the multi-dimensional longitudinal data currently available.

Keywords

References

  1. Annu Rev Psychol. 2009;60:549-76 [PMID: 18652544]
  2. Soc Personal Psychol Compass. 2009 Dec 1;3(6):979-991 [PMID: 20577582]
  3. Dev Cogn Neurosci. 2021 Dec;52:101021 [PMID: 34700197]
  4. J Affect Disord. 2022 Aug 1;310:162-171 [PMID: 35545159]
  5. Neuroimage. 2021 Oct 1;239:118262 [PMID: 34147629]
  6. Arch Gen Psychiatry. 1961 Jun;4:561-71 [PMID: 13688369]
  7. J Clin Epidemiol. 2013 Sep;66(9):1022-8 [PMID: 23790725]
  8. Dev Cogn Neurosci. 2018 Aug;32:4-7 [PMID: 29051027]
  9. Alcohol Clin Exp Res. 2010 Aug;34(8):1409-16 [PMID: 20528822]
  10. Struct Equ Modeling. 2019;26(3):418-429 [PMID: 31579365]
  11. Biol Psychiatry Glob Open Sci. 2021 Dec;1(4):324-335 [PMID: 34608463]
  12. Annu Rev Psychol. 2006;57:505-28 [PMID: 16318605]
  13. J Psychopharmacol. 2005 Mar;19(2):187-94 [PMID: 15871146]
  14. Dev Cogn Neurosci. 2022 Jun;55:101115 [PMID: 35636343]
  15. Neurosci Biobehav Rev. 2016 Nov;70:228-243 [PMID: 27484868]
  16. J Am Stat Assoc. 2012 Dec 21;107(500):1297-1309 [PMID: 25076802]
  17. Health Psychol. 2023 Dec;42(12):904-912 [PMID: 37616102]
  18. JAMA Psychiatry. 2021 Jul 1;78(7):778-787 [PMID: 33881474]
  19. Dev Cogn Neurosci. 2018 Aug;32:67-79 [PMID: 29525452]
  20. Assessment. 2006 Sep;13(3):328-41 [PMID: 16880283]
  21. Stat Comput. 2021;31(5):53 [PMID: 34720460]
  22. J Child Psychol Psychiatry. 2023 Aug;64(8):1159-1175 [PMID: 36990655]
  23. Psychol Methods. 2024 Feb;29(1):155-168 [PMID: 35925730]
  24. Dev Cogn Neurosci. 2023 Oct;63:101281 [PMID: 37536082]
  25. Dev Cogn Neurosci. 2022 Feb;53:101057 [PMID: 35026661]
  26. Dev Cogn Neurosci. 2022 Apr;54:101081 [PMID: 35152002]
  27. BMJ. 2002 Nov 23;325(7374):1212-3 [PMID: 12446537]
  28. J Cogn Dev. 2010;11(2):121-136 [PMID: 21743795]
  29. Assessment. 2024 Mar;31(2):444-459 [PMID: 37039543]
  30. Dev Cogn Neurosci. 2018 Aug;32:43-54 [PMID: 29567376]
  31. Psychol Bull. 2022 Jul-Aug;148(7-8):588-619 [PMID: 35834197]
  32. J Clin Epidemiol. 2022 Sep;149:127-136 [PMID: 35662623]
  33. Psychol Methods. 2015 Mar;20(1):102-16 [PMID: 25822208]
  34. Behav Res Methods. 2018 Aug;50(4):1398-1414 [PMID: 29067672]
  35. Psychol Methods. 2017 Sep;22(3):486-506 [PMID: 27213981]
  36. Psychol Methods. 2010 Sep;15(3):209-33 [PMID: 20822249]
  37. Dev Cogn Neurosci. 2024 Feb;65:101341 [PMID: 38219709]
  38. Neuroimage. 2022 Dec 1;264:119729 [PMID: 36336314]
  39. Neuroimage. 2014 Jul 1;94:287-302 [PMID: 24650594]
  40. J Abnorm Psychol. 2016 Jan;125(1):64-74 [PMID: 26618654]
  41. Sci Rep. 2018 Feb 15;8(1):3088 [PMID: 29449568]
  42. Dev Cogn Neurosci. 2018 Aug;32:107-120 [PMID: 29627333]
  43. J Pers Soc Psychol. 2021 Apr;120(4):1013-1034 [PMID: 32730068]
  44. Dev Cogn Neurosci. 2018 Aug;32:121-129 [PMID: 29636283]
  45. Dev Cogn Neurosci. 2017 Apr;24:72-83 [PMID: 28214667]
  46. Br J Health Psychol. 2010 Sep;15(Pt 3):453-68 [PMID: 20205982]
  47. Alcohol Clin Exp Res. 2000 Nov;24(11):1712-23 [PMID: 11104119]
  48. J Res Pers. 2018 Dec;77:83-89 [PMID: 31105356]
  49. Dev Cogn Neurosci. 2018 Oct;33:99-117 [PMID: 29325701]
  50. Curr Dir Psychol Sci. 2014 Aug 1;23(4):252-256 [PMID: 25382943]
  51. Dev Cogn Neurosci. 2018 Aug;32:97-106 [PMID: 29606560]
  52. Biostatistics. 2016 Jan;17(1):122-34 [PMID: 26272993]
  53. Drug Alcohol Depend. 2021 Oct 1;227:108946 [PMID: 34392051]
  54. J Pers Soc Psychol. 1986 Dec;51(6):1173-82 [PMID: 3806354]
  55. Annu Rev Public Health. 2016;37:17-32 [PMID: 26653405]
  56. Annu Rev Psychol. 2007;58:593-614 [PMID: 16968208]
  57. Schizophr Res. 2013 Jan;143(1):90-6 [PMID: 23218560]
  58. Eur Arch Psychiatry Clin Neurosci. 2020 Jun;270(4):403-412 [PMID: 31563981]
  59. Neuroimage. 2013 Feb 1;66:249-60 [PMID: 23123680]
  60. Neuroimage. 2019 Nov 15;202:116091 [PMID: 31415884]
  61. Arch Gen Psychiatry. 1985 Sep;42(9):918-24 [PMID: 3899050]
  62. J Abnorm Psychol. 1971 Oct;78(2):145-7 [PMID: 5156439]
  63. Dev Cogn Neurosci. 2023 Jun;61:101261 [PMID: 37295068]
  64. Stat Methods Med Res. 2021 Apr;30(4):994-1012 [PMID: 33435832]
  65. Psychol Methods. 2002 Mar;7(1):105-25 [PMID: 11928886]
  66. Psychol Methods. 2012 Jun;17(2):255-83 [PMID: 22309958]
  67. Proc Natl Acad Sci U S A. 2018 Jan 2;115(1):E15-E23 [PMID: 29255039]
  68. Drug Alcohol Depend. 2021 Sep 1;226:108820 [PMID: 34245999]
  69. Dev Cogn Neurosci. 2020 Oct;45:100855 [PMID: 32942148]
  70. Dev Sci. 2023 Nov;26(6):e13392 [PMID: 36950909]
  71. Dev Cogn Neurosci. 2018 Aug;32:55-66 [PMID: 29113758]
  72. Psychol Assess. 2019 Dec;31(12):1395-1411 [PMID: 31380696]
  73. Neuroimage. 2012 Oct 15;63(1):310-9 [PMID: 22732562]
  74. Am J Psychiatry. 2016 Aug 1;173(8):781-9 [PMID: 27138587]
  75. BMC Public Health. 2020 Nov 25;20(1):1783 [PMID: 33238925]
  76. Psychol Methods. 2005 Sep;10(3):259-284 [PMID: 16221028]
  77. Psychol Addict Behav. 2022 May;36(3):271-283 [PMID: 34081486]
  78. J R Stat Soc Series B Stat Methodol. 2017 Jun;79(3):917-938 [PMID: 28824285]
  79. Neuroimage. 2013 Jun;73:176-90 [PMID: 23376789]
  80. J Adolesc Health. 2021 Sep;69(3):390-397 [PMID: 34452728]
  81. Dev Cogn Neurosci. 2021 Dec;52:101022 [PMID: 34710799]
  82. J Am Acad Child Adolesc Psychiatry. 2024 Dec;63(12):1225-1238 [PMID: 38522612]
  83. J Consult Clin Psychol. 2014 Oct;82(5):879-94 [PMID: 24364798]
  84. Psychol Sci. 2020 Jul;31(7):792-806 [PMID: 32489141]
  85. Psychol Bull. 2000 Jan;126(1):3-25 [PMID: 10668348]
  86. JAMA Psychiatry. 2022 Apr 01;79(4):350-358 [PMID: 35138333]
  87. Dev Cogn Neurosci. 2018 Aug;32:16-22 [PMID: 29703560]
  88. Res Child Adolesc Psychopathol. 2024 May;52(5):803-817 [PMID: 38103132]
  89. Annu Rev Psychol. 2011;62:583-619 [PMID: 19575624]
  90. Alcohol Clin Exp Res. 2000 Jun;24(6):882-91 [PMID: 10888079]
  91. J Adolesc Health. 2022 Jun;70(6):961-969 [PMID: 35248457]
  92. Psychol Bull. 2006 Jan;132(1):1-25 [PMID: 16435954]
  93. Cereb Cortex. 2022 Jun 7;32(12):2611-2620 [PMID: 34729592]
  94. Dev Cogn Neurosci. 2021 Dec;52:101030 [PMID: 34891080]
  95. Drug Alcohol Depend Rep. 2022 Jun;3: [PMID: 35445220]
  96. Dev Cogn Neurosci. 2019 Apr;36:100606 [PMID: 30595399]
  97. Dev Psychopathol. 2010 Nov;22(4):883-97 [PMID: 20883588]
  98. Prev Sci. 2016 Oct;17(7):806-18 [PMID: 26453453]
  99. Multivariate Behav Res. 2019 May-Jun;54(3):382-403 [PMID: 30663381]
  100. Stat Med. 2022 Jun 15;41(13):2354-2374 [PMID: 35274335]
  101. Annu Rev Psychol. 2009;60:577-605 [PMID: 18817479]
  102. Psychol Methods. 2005 Mar;10(1):21-39 [PMID: 15810867]
  103. Multivariate Behav Res. 2003 Oct 1;38(4):529-69 [PMID: 26777445]
  104. Hum Brain Mapp. 2024 Feb 1;45(2):e26579 [PMID: 38339910]
  105. Front Psychol. 2015 Jul 28;6:1064 [PMID: 26283995]
  106. Dev Cogn Neurosci. 2022 Feb;53:101044 [PMID: 34896850]
  107. Dev Cogn Neurosci. 2018 Oct;33:54-72 [PMID: 29395939]
  108. Personal Disord. 2025 Jan;16(1):18-30 [PMID: 39818928]
  109. Am J Psychiatry. 2011 Sep;168(9):894-903 [PMID: 21724665]
  110. Psychol Assess. 2012 Jun;24(2):418-31 [PMID: 22023561]
  111. Behav Genet. 2024 Jan;54(1):101-118 [PMID: 37792148]
  112. Dev Psychol. 2005 Sep;41(5):733-746 [PMID: 16173871]
  113. Dev Cogn Neurosci. 2021 Oct;51:100994 [PMID: 34332330]
  114. Struct Equ Modeling. 2012;19(4):651-682 [PMID: 25505366]
  115. Annu Rev Clin Psychol. 2015;11:71-98 [PMID: 25062476]
  116. Sci Rep. 2022 Nov 15;12(1):19601 [PMID: 36379997]
  117. Psychol Methods. 2009 Mar;14(1):43-53 [PMID: 19271847]
  118. Int J Methods Psychiatr Res. 2014 Dec;23(4):401-10 [PMID: 24942819]
  119. J Abnorm Psychol. 2011 May;120(2):322-35 [PMID: 21319874]
  120. Psychol Methods. 2005 Mar;10(1):3-20 [PMID: 15810866]
  121. JAMA Pediatr. 2022 Jan 1;176(1):94-96 [PMID: 34724543]

Grants

  1. U24 DA041147/NIDA NIH HHS
  2. U01 DA051039/NIDA NIH HHS
  3. U01 DA041120/NIDA NIH HHS
  4. U01 DA051018/NIDA NIH HHS
  5. U01 DA041093/NIDA NIH HHS
  6. U24 DA041123/NIDA NIH HHS
  7. U01 DA051038/NIDA NIH HHS
  8. U01 DA051037/NIDA NIH HHS
  9. U01 DA051016/NIDA NIH HHS
  10. U01 DA041117/NIDA NIH HHS
  11. U01 DA041148/NIDA NIH HHS
  12. U01 DA041174/NIDA NIH HHS
  13. U01 DA041134/NIDA NIH HHS
  14. U01 DA041022/NIDA NIH HHS
  15. U01 DA041156/NIDA NIH HHS
  16. U01 DA050987/NIDA NIH HHS
  17. U01 DA041025/NIDA NIH HHS
  18. U01 DA050989/NIDA NIH HHS
  19. U01 DA041089/NIDA NIH HHS
  20. U01 DA050988/NIDA NIH HHS
  21. U01 DA041106/NIDA NIH HHS
  22. K01 MD018069/NIMHD NIH HHS
  23. U01 DA041028/NIDA NIH HHS
  24. U01 DA041048/NIDA NIH HHS

MeSH Term

Humans
Longitudinal Studies
Child
Adolescent
Cognition
Adolescent Development
Brain

Word Cloud

Created with Highcharts 10.0.0ABCDStudydevelopmentaldatalongitudinalprovidesresearchersreviewanalysesassociatedvariationmaymodelsLongitudinalAdolescentBrainCognitiveDevelopment��uniqueopportunityinvestigateprocesseslargediversecohortyouthsagedapproximately9-10baselineassessedannually10yearsGivensizecomplexityanalyzingwillencountermyriadmethodologicalanalyticalconsiderationsexaminationkeyconceptstechniquesrelatedincluding:1characterizationfactorstrajectories2assessmentleveltimingexposuresimpactsubsequentdevelopment3quantificationdomainsoutcomesincludingmediationreciprocalrelationshipsemphasizeimportanceselectingappropriatestatisticaladdressresearchquestionspresentingadvantagespotentialchallengesseeksequipfoundationalknowledgetoolsmakeinformeddecisionsnavigateeffectivelyanalyzeinterpretmulti-dimensionalcurrentlyavailableanalysisABCD��studytudyDevelopmentnalysis

Similar Articles

Cited By