Abstract
Executive functions (EF) deficits are well documented in children at familial high risk of schizophrenia (FHR-SZ), and to a lesser degree in children at familial high risk of bipolar disorder (FHR-BP). The aim of this study was to assess EF development in preadolescent children at FHR-SZ, FHR-BP and population-based controls (PBC) using a multi-informant rating scale. A total of 519 children (FHR-SZ, n = 201; FHR-BP, n = 119; PBC, n = 199) participated at age 7, at age 11 or at both time points. Caregivers and teachers completed the Behavior Rating Inventory of Executive Functions (BRIEF). The developmental pattern from age 7 to age 11, did not differ between groups. At age 11, caregivers and teachers rated children at FHR-SZ as having widespread EF deficits. A higher proportion of children at FHR-SZ had clinically significant scores on the General executive composite (GEC) and all BRIEF indices compared to PBC. According to the caregivers, children at FHR-BP had significantly more EF deficits than PBC on 9 out of 13 BRIEF scales, whereas according to teachers, they only had significantly more deficits on one subdomain (Initiate). Likewise, caregivers rated a significantly higher proportion of children at FHR-BP above the clinical cut-off on the GEC and Metacognition index, compared to PBC, whereas there were no significant differences according to teachers. This study highlights the relevance of including multi-informant rating scales in the assessment of EF in children at FHR-SZ and FHR-BP. The results imply a need to identify children at high risk who would benefit from targeted intervention.
Similar content being viewed by others
Data availability
Access can be granted upon request from the authors.
References
Bora E, Yucel M, Pantelis C (2009) Cognitive endophenotypes of bipolar disorder: a meta-analysis of neuropsychological deficits in euthymic patients and their first-degree relatives. J Affect Disord 113(1):1–20
Mesholam-Gately RI, Giuliano AJ, Goff KP, Faraone SV, Seidman LJ (2009) Neurocognition in first-episode schizophrenia: a meta-analytic review. Neuropsychology 23(3):315–336
Arts B, Jabben N, Krabbendam L, van Os J (2007) Meta-analyses of cognitive functioning in euthymic bipolar patients and their first-degree relatives. Psychol Med 38(6):771–785
Bortolato B, Miskowiak KW, Köhler CA, Vieta E, Carvalho AF (2015) Cognitive dysfunction in bipolar disorder and schizophrenia: a systematic review of meta-analyses. Neuropsychiatr Dis Treat 11:3111–3125
Kloiber S, Rosenblat JD, Husain MI, Ortiz A, Berk M, Quevedo J et al (2020) Neurodevelopmental pathways in bipolar disorder. Neurosci Biobehav Rev 112:213–226
Pedersen CB, Mors O, Bertelsen A, Waltoft BL, Agerbo E, McGrath JJ et al (2014) A comprehensive nationwide study of the incidence rate and lifetime risk for treated mental disorders. JAMA Psychiatry (Chicago, Ill) 71(5):573–581
Rasic D, Hajek T, Alda M, Uher R (2013) Risk of mental illness in offspring of parents with schizophrenia, bipolar disorder, and major depressive disorder: a meta-analysis of family high-risk studies. Schizophr Bull 40(1):28–38
Keshavan MS, Morris DW, Sweeney JA, Pearlson G, Thaker G, Seidman LJ et al (2011) A dimensional approach to the psychosis spectrum between bipolar disorder and schizophrenia: the Schizo-Bipolar Scale. Schizophr Res 133(1):250–254
Lichtenstein P, Yip BH, Björk C, Pawitan Y, Cannon TD, Sullivan PF et al (2009) Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: a population-based study. The Lancet (British edition) 373(9659):234–239
Robinson N, Bergen SE (2021) Environmental risk factors for schizophrenia and bipolar disorder and their relationship to genetic risk: current knowledge and future directions. Frontiers in Genetics
Sandstrom A, Sahiti Q, Pavlova B, Uher R (2019) Offspring of parents with schizophrenia, bipolar disorder, and depression: a review of familial high-risk and molecular genetics studies. Psychiatr Genet 29:160–169
Miyake A, Friedman N, Emerson M, Witzki A, Howerter A, Wager T (2000) The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis. Cogn Psychol 41:49–100
Snyder HR, Miyake A, Hankin BL (2015) Advancing understanding of executive function impairments and psychopathology: bridging the gap between clinical and cognitive approaches. Front Psychol 6:328
Agnew-Blais J, Seidman LJ (2013) Neurocognition in youth adults under age 30 at familial risk for schizophrenia: a quantitative and qualitative review. Cogn Neuropsychiatry 18(1–2):44–82
Bora E, Lin A, Wood SJ, Yung AR, McGorry PD, Pantelis C (2014) Cognitive deficits in youth with familial and clinical high risk to psychosis: a systematic review and meta-analysis. Acta Psychiatr Scand 130(1):1–15
Bora E, Özerdem A (2017) A meta-analysis of neurocognition in youth with familial high risk for bipolar disorder. Eur Psychiatry 44:17–23
Fusar-Poli P, Deste G, Smieskova R, Barlati S, Yung AR, Howes O et al (2012) Cognitive functioning in prodromal psychosis: a meta-analysis. Arch Gen Psychiatry 69(6):562–571
Lewandowski KE, Cohen BM, Ongur D (2011) Evolution of neuropsychological dysfunction during the course of schizophrenia and bipolar disorder. Psychol Med 41(2):225–241
Miskowiak KW, Lewandowski KE (2020) Trajectory of cognitive functions in bipolar disorder: for better or worse? Acta Psychiatr Scand 141(2):95–97
Dickson H, Cullen AE, Jones R, Reichenberg A, Roberts RE, Hodgins S et al (2018) Trajectories of cognitive development during adolescence among youth at-risk for schizophrenia. J Child Psychol Psychiatry 59(11):1215–1224
Bhojraj TS, Diwadkar VA, Sweeney JA, Prasad KM, Eack SM, Montrose DM et al (2010) Longitudinal alterations of executive function in non-psychotic adolescents at familial risk for schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 34(3):469–474
De la Serna E, Camprodon-Boadas P, Ilzarbe D, Sugranyes G, Baeza I, Moreno D et al (2020) Neuropsychological development in the child and adolescent offspring of patients diagnosed with schizophrenia or bipolar disorder: a two-year follow-up comparative study. Prog Neuro-Psychopharmacol Biol Psychiatry 103:109972
Knudsen CB, Hemager N, Greve AN, Lambek R, Andreassen AK, Veddum L et al (2022) Neurocognitive Development in children at familial high risk of schizophrenia or bipolar disorder. JAMA Psychiat 79:589
Barkley RA (2019) Neuropsychological testing is not useful in the diagnosis of ADHD: stop It (or Prove It)! ADHD Rep 27(2):1–8
Toplak ME, West RF, Stanovich KE (2013) Practitioner review: do performance-based measures and ratings of executive function assess the same construct? J Child Psychol Psychiatry 54(2):131–143
Spang KS, Ellersgaard D, Hemager N, Christiani CJ, Burton BK, Greve AN et al (2020) Executive functions in 7-year-old children of parents with schizophrenia or bipolar disorder compared with controls: the danish high risk and resilience study-VIA 7, a population-based cohort study. Eur Child Adolesc Psychiatry 30:1871–1884
Thorup AAE, Jepsen JR, Ellersgaard DV, Burton BK, Christiani CJ, Hemager N et al (2015) The Danish High Risk and Resilience Study – VIA 7 - a cohort study of 520 7-year-old children born of parents diagnosed with either schizophrenia, bipolar disorder or neither of these two mental disorders. BMC Psychiatry 15(1):233
Thorup AAE, Hemager N, Søndergaard A, Gregersen M, Prøsch ÅK, Krantz MF et al (2018) The danish high risk and resilience study—VIA 11: study protocol for the first follow-up of the VIA 7 Cohort −522 children born to parents with schizophrenia spectrum disorders or bipolar disorder and controls being re-examined for the first time at age 11. Front Psychiatry. https://doi.org/10.3389/fpsyt.2018.00661
Pedersen CB, Gotzsche H, Moller JO, Mortensen PB (2006) The Danish civil registration system - a cohort of eight million persons. Dan Med Bull 53(4):441–449
Mors O, Perto GP, Mortensen PB (2011) The danish psychiatric central research register. Scand J Public Health 39:54–57
Kessing LV (1998) Validity of diagnoses and other clinical register data in patients with affective disorder. Eur Psychiatry 13(8):392–398
Uggerby P, Østergaard SD, Røge R, Correll CU, Nielsen J (2013) The validity of the schizophrenia diagnosis in the Danish psychiatric central research register is good. Danish Med J 60(2):4578
Scharfen J, Peters JM, Holling H (2018) Retest effects in cognitive ability tests: a meta-analysis. Intelligence 67:44–66
Stahl K, Adorjan K, Anderson-Schmidt H, Budde M, Comes AL, Gade K et al (2022) Stability over time of scores on psychiatric rating scales, questionnaires and cognitive tests in healthy controls. BJPsych Open 8(2):e55
Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O’Neal L et al (2019) The REDCap consortium: Building an international community of software platform partners. J Biomed Inform 95:103
Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG (2009) Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 42(2):377–381
Achenbach T, Rescorla L (2000) Manual for the ASEBA Preschool forms & profiles. University of Vermont, Research Center for Children, Youth & Families, Burlington
Morosini PL, Magliano L, Brambilla L, Ugolini S, Pioli R (2000) Development, reliability and acceptability of a new version of the DSM-IV Social and Occupational Functioning Assessment Scale (SOFAS) to assess routine social functioning. Acta Psychiatr Scand 101(4):323–329
Reynolds CR, Kamphaus RW, editors. Development and Application of the Reynolds Intellectual Assessment Scales (RIAS)2009.
Gioia GA, Isquith PK, Guy SC, Kenworthy L (2000) TEST REVIEW behavior rating inventory of executive function. Child Neuropsychol 6(3):235–238
Gioia GA, Isquith PK, Retzlaff PD, Espy KA (2002) Confirmatory factor analysis of the behavior rating inventory of executive function (BRIEF) in a clinical sample. Child Neuropsychol 8(4):249–257
Egeland J, Fallmyr Ø (2010) Confirmatory factor analysis of the behavior rating inventory of executive function (BRIEF): support for a distinction between emotional and behavioral regulation. Child Neuropsychol 16(4):326–337
Roth RM, Isquith PK, Gioia GA (2013) Assessment of executive functioning using the behavior rating inventory of executive function (BRIEF). Springer, New York, pp 301–331
Shaw B. OMEGA: Stata module to calculate the omega reliability coefficient. Statistical Software Components. Boston College Department of Economics 2020
Gioia GA, Isquith PK, Guy SC, Kenworthy L, editors. BRIEF - Adfærdsvurdering af eksekutiv funktion - Vejledning. 1. ed. Denmark Hogrefe Psykologisk Forlag; 2005.
Benjamini Y, Hochberg Y (1995) Controlling the false discovery rate - a practical and powerful approach to multiple testing. J Royal Statist Soc, Series B 57:289–300
StataCorp. Stata Statistical Software: Release 16. TX: StataCorp. LLC2019.
Hemager N, Plessen KJ, Thorup A, Christiani C, Ellersgaard D, Spang KS et al (2018) Assessment of neurocognitive functions in 7-year-old children at familial high risk for schizophrenia or bipolar disorder: the danish high risk and resilience study VIA 7. JAMA psychiatry (Chicago, Ill) 75(8):844–852
Niendam TA, Horwitz J, Bearden CE, Cannon TD (2007) Ecological assessment of executive dysfunction in the psychosis prodrome: a pilot study. Schizophr Res 93(1):350–354
Hughes EK, Gullone E (2010) Discrepancies between adolescent, mother, and father reports of adolescent internalizing symptom levels and their association with parent symptoms. J Clin Psychol 66(9):978–995
Olino TM, Michelini G, Mennies RJ, Kotov R, Klein DN (2021) Does maternal psychopathology bias reports of offspring symptoms? a study using moderated non-linear factor analysis. J Child Psychol Psychiatry 62(10):1195–1201
Reichenberg A, Caspi A, Harrington H, Houts R, Keefe RSE, Murray RM et al (2010) Static and dynamic cognitive deficits in childhood preceding adult schizophrenia: a 30-year study. Am J Psychiatry 167(2):160–169
Andrews K, Dunn JR, Prime H, Duku E, Atkinson L, Tiwari A et al (2021) Effects of household chaos and parental responsiveness on child executive functions: a novel, multi-method approach. BMC Psychology 9(1):1–147
Valli I, Serna EDL, Borràs R, Ilzarbe D, Baeza I, Picouto MD et al (2021) Cognitive heterogeneity in the offspring of patients with schizophrenia or bipolar disorder: a cluster analysis across family risk. J Affect Disord 282:757–765
Bora E, Can G, Ildız A, Ulas G, Ongun CH, Inal NE et al (2019) Neurocognitive heterogeneity in young offspring of patients with bipolar disorder: the effect of putative clinical stages. J Affect Disord 257:130–135
Hemager N, Christiani CJ, Thorup AAE, Spang KS, Ellersgaard D, Burton BK et al (2022) Neurocognitive heterogeneity in 7-year-old children at familial high risk of schizophrenia or bipolar disorder: the danish high risk and resilience study - VIA 7. J Affective Disord 302:214–223
Acknowledgements
This research was funded by the Lundbeck Initiative for Integrative Psychiatric Research (iPSYCH), Trygfonden, the Innovation Fund Denmark, the Mental Health Services of the Capital Region of Denmark, Aarhus University, the Independent Research Fund Denmark, and the Beatrice Surovell Haskell Fund for Child Mental Health Research of Copenhagen. We wish to express our gratitude towards the children, caregivers and teachers taking their time to participate in our study, as well as A.F. Bundgaard, A.M. Bundsgaard, H.B Stadsgaard, L. Carmichael, M. Birk, M. Melau, M. Wilms, N. L. Steffensen, S. B. Rohd, Å.K. Prøsch, D.L. Gantriis, D.V. Ellersgaard, and C.J. Christiani, who have contributed to the data collection, and A.H. Carlsen for statistical guidance. The authors have no relevant conflict of interests.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
None.
Ethical approval
The Danish High Risk and Resilience Study was performed according to the principles of the Declaration of Helsinki. It was approved by the Danish Data Protection Agency and the National Committee on Health Research Ethics (Ref: H-16043683).
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Andreassen, A.K., Lambek, R., Greve, A. et al. The development in rating-based executive functions in children at familial high risk of schizophrenia or bipolar disorder from age 7 to age 11: the Danish high risk and resilience study. Eur Child Adolesc Psychiatry 33, 549–560 (2024). https://doi.org/10.1007/s00787-023-02177-w
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00787-023-02177-w