Emerging adulthood (18–25 years) is a transitional and understudied developmental period. Yet, little is known about how specific symptoms of ADHD, as well as those from the related SCT domain, may differentially relate to one another during this period, if there are differences based on biological sex, or how closely results will align with adulthood.
Methods:
We used network analysis techniques to explore the structure of ADHD and SCT symptoms within emerging adulthood, with additional comparisons between sexes as well as between emerging adulthood and adulthood. Using an online platform, 8,506 adults reported on their symptoms of ADHD and SCT.
Results:
Symptoms grouped together within their respective domains during emerging adulthood with no significant differences in overall network structure between sexes. Similarly, network structure appeared to be robust across emerging adulthood and adulthood.
Conclusion:
Such consistency supports a conceptualization of ADHD in emerging adulthood as similar to adulthood.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Author.
2.
AriasV. B.PonceF. P.NúñezD. E. (2018). Bifactor models of attention-deficit/hyperactivity disorder (ADHD): An evaluation of three necessary but underused psychometric indexes. Assessment, 25(7), 885–897. https://doi.org/10.1177/1073191116679260
3.
ArnettJ. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469–480. https://doi.org/10.1037//0003-066X.55.5.469
4.
BarkleyR. A. (2011). Barkley adult ADHD rating scale-IV (BAARS-IV). Guilford.
5.
BarkleyR. A.KnouseL. E.MurphyK. R. (2011). Correspondence and disparity in the self- and other ratings of current and childhood ADHD symptoms and impairment in adults with ADHD. Psychological Assessment, 23(2), 437–446. https://doi.org/10.1037/a0022172
6.
BarkleyR. A.MurphyK. R.FischerM. (2008). ADHD in adults: What the science says. Guilford.
7.
BeckerS. P.BurnsG. L.SmithZ. R.LangbergJ. M. (2020). Sluggish cognitive tempo in adolescents with and without ADHD: Differentiation from adolescent-reported ADHD inattention and unique associations with internalizing domains. Journal of Abnormal Child Psychology, 48(3), 391–406. https://doi.org/10.1007/s10802-019-00603-9
8.
BeckerS. P.LeopoldD. R.BurnsG. L.JarrettM. A.LangbergJ. M.MarshallS. A.McBurnettK.WaschbuschD. A.WillcuttE. G. (2016). The internal, external, and diagnostic validity of sluggish cognitive tempo: A meta-analysis and critical review. Journal of the American Academy of Child and Adolescent Psychiatry, 55(3), 163–178. https://doi.org/10.1016/j.jaac.2015.12.006
BringmannL. F.ElmerT.EpskampS.KrauseR. W.SchochD.WichersM.WigmanJ. T. W.SnippeE. (2019). What do centrality measures measure in psychological networks?Journal of Abnormal Psychology, 128(8), 892–903. https://doi.org/10.1037/abn0000446
12.
BuhrmesterM.KwangT.GoslingS. D. (2011). Amazon’s mechanical Turk: A new source of inexpensive, yet high-quality, data?Perspectives on Psychological Science, 6(1), 3–5. https://doi.org/10.1177/1745691610393980
13.
BurnsG. L.BeckerS. P.ServeraM.BernadM. D.García-BandaG. (2017). Sluggish cognitive tempo and attention-deficit/hyperactivity disorder (ADHD) inattention in the home and school contexts: Parent and teacher invariance and cross-setting validity. Psychological Assessment, 29(2), 209–220. https://doi.org/10.1037/pas0000325
14.
CsardiG.NepuszT. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695(5), 1–9.
15.
EpskampS.BorsboomD.FriedE. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50, 195–212. https://doi.org/10.3758/s13428-017-0862-1
16.
EpskampS.CramerA. O. J.WaldorpL. J.SchmittmannV. D.BorsboomD. (2012). Qgraph: Network visualizations of relationships in psychometric data. Journal of Statistical Software, 48(4), 1–18.
17.
EpskampS.FriedE. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617–634. https://doi.org/10.1037/met0000167
18.
FassbenderC.KrafftC. E.SchweitzerJ. B. (2015). Differentiating SCT and inattentive symptoms in ADHD using fMRI measures of cognitive control. NeuroImage Clinical, 8, 390–397. https://doi.org/10.1016/j.nicl.2015.05.007
19.
FedeleD. A.LeflerE. K.HartungC. M.CanuW. H. (2012). Sex differences in the manifestation of ADHD in emerging adults. Journal of Attention Disorders, 16(2), 109–117. https://doi.org/10.1177/1087054710374596
20.
ForbesM. K.WrightA. G. C.MarkonK. E.KruegerR. F. (2017). Evidence that psychopathology symptom networks have limited replicability. Journal of Abnormal Psychology, 126(7), 969–988. https://doi.org/10.1037/abn0000276
21.
ForbesM. K.WrightA. G. C.MarkonK. E.KruegerR. F. (2021). Quantifying the reliability and replicability of psychopathology network characteristics. Multivariate Behavioral Research, 56(2), 224–242. https://doi.org/10.1080/00273171.2019.1616526
22.
FriedmanJ.HastieT.TibshiraniR. (2008). Sparse inverse covariance estimation with the graphical lasso. Biostatistics, 9(3), 432–441. https://doi.org/10.1093/biostatistics/kxm045
23.
FruchtermanT. M. J.ReingoldE. M. (1991). Graph drawing by force-directed placement. Software Practice and Experience, 21(11), 1129–1164. https://doi.org/10.1002/spe.4380211102
24.
HardyK. K.KollinsS. H.MurrayD. W.RiddleM. A.GreenhillL.CunninghamC.AbikoffH. B.McCrackenJ. T.VitielloB.DaviesM.McGoughJ. J.PosnerK.SkrobalaA. M.SwansonJ. M.WigalT.WigalS. B.GhumanJ. K.ChuangS. Z. (2007). Factor structure of parent- and teacher-rated attention-deficit/hyperactivity disorder symptoms in the preschoolers with attention-deficit/hyperactivity disorder treatment study (PATS). Journal of Child and Adolescent Psychopharmacology, 17(5), 621–634. https://doi.org/10.1089/cap.2007.0073
25.
HartungC. M.LeflerE. K. (2019). Sex and gender in psychopathology: DSM-5 and beyond. Psychological Bulletin, 145(4), 390–409. https://doi.org/10.1037/bul0000183
26.
HauserD. J.SchwarzN. (2016). Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants. Behavior Research Methods, 48, 400–407. https://doi.org/10.3758/s13428-015-0578-z
27.
HoldenC. J.DennieT.HicksA. D. (2013). Assessing the reliability of the M5-120 on Amazon’s Mechanical Turk. Computers in Human Behavior, 29(4), 1749–1754. https://doi.org/10.1016/j.chb.2013.02.020
28.
JaconisM.BoydS. J.HartungC. M.McCreaS. M.LeflerE. K.CanuW. H. (2016). Sex differences in claimed and behavioral self-handicapping and ADHD symptomatology in emerging adults. ADHD Attention Deficit Hyperactivity Disorders, 8, 205–214. https://doi.org/10.1007/s12402-016-0200-y
29.
JohnsonD. R.BordenL. A. (2012). Participants at your fingertips: Using Amazon’s Mechanical Turk to increase student-faculty collaborative research. Teaching of Psychology, 39(4), 245–251. https://doi.org/10.1177/0098628312456615
30.
KamradtJ. M.MomanyA. M.NikolasM. A. (2018). Sluggish cognitive tempo symptoms contribute to heterogeneity in adult attention-deficit hyperactivity disorder. Journal of Psychopathology and Behavioral Assessment, 40, 206–223. https://doi.org/10.1007/s10862-017-9631-9
31.
KesslerR. C.GreenJ. G.AdlerL. A.BarkleyR. A.ChatterjiS.FaraoneS. V.FinkelmanM.GreenhillL. L.GruberM. J.JewellM.RussoL. J.SampsonN. A.Van BruntD. L. (2010). Structure and diagnosis of adult attention-deficit/hyperactivity disorder: Analysis of expanded symptom criteria form the adult ADHD clinical diagnostic scale. Archives of General Psychiatry, 67(11), 1168–1178. https://doi.org/10.1001/archgenpsychiatry.2010.146
32.
LaheyB. B.ApplegateB.McBurnettK.BiedermanJ.GreenhillL.HyndG. W.BarkleyR. A.NewcornJ.JensenP.RichtersJ.GarfinkelB.KerdykL.FrickP. J.OllendickT.PerezD.HartE. L.WaidmanI.ShafferD. (1994). DSM-IV field trials for attention deficit hyperactivity disorder in children and adolescents. American Journal of Psychiatry, 151(11), 1673–1685. https://doi.org/10.1176/ajp.151.11.1673
33.
LeopoldD. R.ChristopherM. E.BurnsG. L.BeckerS. P.OlsonR. K.WillcuttE. G. (2016). ADHD and sluggish cognitive tempo throughout childhood: Temporal invariance and stability from preschool through ninth grade. Journal of Child Psychology and Psychiatry, 57(9), 1066–1074. https://doi.org/10.1111/jcpp.12505
34.
MartelM. M.LevinsonC. A.LangerJ. K.NiggJ. T. (2016). A network analysis of developmental change in ADHD symptom structure from preschool to adulthood. Clinical Psychological Science, 4(6), 988–1001. https://doi.org/10.1177/2167702615618664
35.
MartelM. M.LevinsonC. A.LeeC. A.SmithT. E. (2017). Impulsivity symptoms as core to the developmental externalizing spectrum. Journal of Abnormal Child Psychology, 45(1), 83–90. https://doi.org/10.1007/s10802-016-0148-6
36.
MartelM. M.von EyeA.NiggJ. (2012). Developmental differences in structure of attention-deficit/hyperactivity disorder (ADHD) between childhood and adulthood. International Journal of Behavioral Development, 36(4), 279–292. https://doi.org/10.1177/0165025412444077
OlsonS. L. (2002). Developmental perspectives. In SandbergS. (Ed.), Hyperactivity and attention disorders of childhood (2nd ed., pp. 242–289). Cambridge University Press.
39.
PaolacciG.ChandlerJ. (2014). Inside the Turk: Understanding mechanical Turk as a participant pool. Current Directions in Psychological Science, 23(3), 184–188. https://doi.org/10.1177/0963721414531598
40.
PreszlerJ.BurnsG. L. (2019). Network analysis of ADHD and ODD symptoms: Novel insights or redundant findings with the latent variable model?Journal of Abnormal Child Psychology, 47(10), 1599–1610. https://doi.org/10.1007/s10802-019-00549-y
41.
RobinaughD. J.MillnerA. J.McNallyR. J. (2016). Identifying highly influential nodes in the complicated grief network. Journal of Abnormal Psychology, 125(6), 747–757. https://doi.org/10.1037/abn0000181
RucklidgeJ. J. (2010). Gender differences in attention-deficit/hyperactivity disorder. Psychiatric Clinics of North America, 33(2), 357–373. https://doi.org/10.1016/j.psc.2010.01.006
44.
ShapiroD. N.ChandlerJ.MuellerP. A. (2013). Using mechanical Turk to study clinical populations. Clinical Psychological Science, 1(2), 213–220. https://doi.org/10.1177/2167702612469015
45.
SibleyM. H.MitchellJ. T.BeckerS. P. (2016). Method of adult diagnosis influences estimated persistence of childhood ADHD: A systematic review of longitudinal studies. The Lancet Psychiatry, 3(12), 1157–1165. https://doi.org/10.1016/s2215-0366(16)30190-0
46.
SmithN. A.SabatI. E.MartinezL. R.WeaverK.XuS. (2015). A convenient solution: Using MTurk to sample from hard-to-reach populations. Industrial and Organizational Psychology, 8(2), 220–228. https://doi.org/10.1017/iop.2015.29
47.
SpanS. A.EarleywineM.StrybelT. Z. (2002). Confirming the factor structure of attention deficit hyperactivity disorder symptoms in adult, nonclinical samples. Journal of Psychopathology and Behavioral Assessment, 24, 129–136. https://doi.org/10.1023/a:1015396926356
48.
van BorkuloC. (2018). Symptom network models in depression research: From methodological exploration to clinical application [Unpublished thesis]. University of Groningen.
49.
WillcuttE. G. (2012). The prevalence of DSM-IV attention-deficit/hyperactivity disorder: A meta-analytic review. Neurotherapeutics, 9(3), 490–499. https://doi.org/10.1007/s13311-012-0135-8
50.
WilliamsonD.JohnstonC. (2015). Gender differences in adults with attention-deficit/hyperactivity disorder: A narrative review. Clinical Psychology Review, 40, 15–27. https://doi.org/10.1016/j.cpr.2015.05.005
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