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Gender associated developmental trajectories of SDQ-dysregulation profile and its predictors in children

Published online by Cambridge University Press:  22 June 2017

B. Kunze
Affiliation:
Clinic for Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Germany
B. Wang
Affiliation:
Clinic for Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Germany
C. Isensee
Affiliation:
Clinic for Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Germany
R. Schlack
Affiliation:
Robert Koch Institute, Department of Epidemiology and Health Monitoring, Berlin, Germany
U. Ravens-Sieberer
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Hamburg- Eppendorf, Germany
F. Klasen
Affiliation:
Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Hamburg- Eppendorf, Germany
A. Rothenberger
Affiliation:
Clinic for Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Germany
A. Becker*
Affiliation:
Clinic for Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Germany
*
*Address for correspondence: A. Becker, University Medical Centre Göttingen, Göttingen, Germany. (Email: [email protected])

Abstract

Background

Severe mood dysregulation is common in childhood and can be highly impairing. The Dysregulation Profile (DP) can be considered as a broader phenotype of emotional dysregulation, including affect, cognition and behaviour. Since mood dysregulation may persist, but differently in boys and girls, the gender associated course needs to be considered longitudinally to gain a better insight in order to support the children more adequately. This study is focusing on gender associated subgroup trajectories of the Strengths and Difficulties Questionnaire-Dysregulation Profile (SDQ-DP) in middle childhood (9–13 years of age) and includes the potential impact of clinical and psychosocial characteristics.

Method

The data set was available from the BELLA study on mental health and well-being in children and adolescents, which is the mental health module of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS). A representative epidemiological sample of 564 children living in Germany was examined at three assessment points over 2 years (data collection 2003–2006). The SDQ-DP of children aged 9–13 years was evaluated using Latent Class Growth Analysis (LCGA).

Results

For both genders three trajectories with low (girls 67.0% and boys 59.5%), moderate (girls 28.0% and boys 31.7%) and high SDQ-DP (girls 5.0% and boys 8.8%) scores were detected. The courses of low and moderate subgroups were stable, while in the high SDQ-DP subgroup boys showed a decreasing and girls an increasing trend in symptom severity on a descriptive level. The results of the multinomial logistic regression analyses revealed a significant influence of mainly externalising but also internalising problems both increasing the risk of moderate and high SDQ-DP in both genders. Good quality of life was a protective factor for the SDQ-DP course in all subgroups.

Conclusion

In addition to the known clinical and scientific value of the SDQ-DP, three distinguishable trajectories of SDQ-DP in boys and girls could be found. High externalising problems at the beginning of the trajectory were associated with an undesirable course of SDQ-DP. These findings might be helpful for better psychoeducation, counselling and monitoring in clinical cases and public health.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2017 

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Footnotes

Ulrike Ravens-Sieberer, Fionna Klasen, Claus Barkmann, Monika Bullinger, Manfred Döpfner, Beate Herpertz-Dahlmann, Heike Hölling, Franz Petermann, Franz Resch, Aribert Rothenberger, Sylvia Schneider, Michael Schulte-Markwort, Robert Schlack, Frank Verhulst, Hans-Ulrich Wittchen.

References

Althoff, RR, Ayer, LA, Crehan, ET, Rettew, DC, Baer, JR, Hudziak, JJ (2012). Temperamental profiles of dysregulated children. Child Psychiatry & Human Development 43, 511522.CrossRefGoogle ScholarPubMed
Althoff, RR, Verhulst, FC, Rettew, DC, Hudziak, JJ, van der Ende, J (2010). Adult outcomes of childhood dysregulation: a 14-year follow-up study. Journal of the American Academy of Child & Adolescent Psychiatry 49, 11051116. doi: 10.1016 /j.jaac.2010.08.006.Google ScholarPubMed
Angold, A, Costello, EJ, Erkanli, A (1999). Comorbidity. Journal of Child Psychology and Psychiatry 40, 5787.CrossRefGoogle ScholarPubMed
Arbeitsgruppe Deutsche Child Behavior Checklist (1998). Elternfragebogen über das Verhalten von Kindern und Jugendlichen; deutsche Bearbeitung der Child Behavior Checklist (CBCL/4–18). Einführung und Anleitung zur Handauswertung mit deutschen Normen, bearbeitet von M. Döpfner, J. Plück, S. Bölte, K. Lenz, P. Melchers & K. Heim. (2. Aufl.). Köln: Arbeitsgruppe Kinder-, Jugend- und Familiendiagnostik (KJFD).Google Scholar
Ayer, L, Althoff, R, Ivanova, M, Rettew, D, Waxier, E (2009). Child Behavior Checklist Juvenile Bipolar Disorder (CBCL-JBD) and CBCL Posttraumatic Stress Problems (CBCL-PTSP) scales are measures of a single dysregulation syndrome. Journal of Child Psychology and Psychiatry 50, 12911300.CrossRefGoogle Scholar
Banaschewski, T, Jennen-Steinmetz, C, Brandeis, D, Buitelaar, JK, Kuntsi, J, Poustka, L, Sergeant, JA, Sonuga-Barke, EJ, Frazier-Wood, AC, Albrecht, B, Chen, W, Uebel, H, Schlotz, W, van der Meere, JJ, Gill, M, Manor, I, Miranda, A, Mulas, F, Oades, RD, Roeyers, H, Rothenberger, A, Steinhausen, HC, Faraone, SV, Asherson, P (2012). Neuropsychological correlates of emotional lability in children with ADHD. Journal of Child Psychology and Psychiatry 53, 11391148. doi: 10.1111/j.1469-7610.2012.02596.x. Epub 2012 August 6.CrossRefGoogle ScholarPubMed
Becker, A, Rothenberger, A, Sohn, A, the BELLA study group (2015). Six years ahead: a longitudinal analysis regarding course and predictive value of the Strengths and Difficulties Questionnaire (SDQ) in children and adolescents. European Child and Adolescent Psychiatry 24, 715725. doi: 10.1007/s00787-014-0640-x.CrossRefGoogle ScholarPubMed
Becker, A, Woerner, W, Hasselhorn, M, Banaschewski, T, Rothenberger, A (2004). Validation of the parent and teacher SDQ in a clinical sample. European Child and Adolescent Psychiatry 13 (Suppl. 2), II11II16. doi: 10.1007/s00787-004-2003-5.CrossRefGoogle Scholar
Biederman, J, Petty, CR, Day, H, Goldin, RL, Spencer, T, Faraone, SV, Surman, CB, Wozniak, J (2012). Severity of the aggression/anxiety-depression/attention child behavior checklist profile discriminates between different levels of deficits in emotional regulation in youth with attention-deficit hyperactivity disorder. Journal of Developmental and Behavioral Pediatrics 33, 236243. doi: 10.1097/DBP.0b013e3182475267.CrossRefGoogle ScholarPubMed
Biederman, J, Wozniak, J, Kiely, K, Ablon, S, Faraone, S, Mick, E, Mundy, E, Kraus, I (1995). CBCL clinical scales discriminate prepubertal children with structured interview derived diagnosis of mania from those with ADHD. Journal of the American Academy of Child & Adolescent Psychiatry 34, 464471. doi: 10.1097/ 00004583-199504000-00013.CrossRefGoogle ScholarPubMed
Birmaher, B, Brent, DA, Chiappetta, L, Bridge, J, Monga, S, Baugher, M (1999). Psychometric properties of the Screen for Child Anxiety Related Emotional Disorders (SCARED): a replication study. Journal of the American Academy of Child & Adolescent Psychiatry 38, 12301236.CrossRefGoogle ScholarPubMed
Birmaher, B, Khetarpal, S, Brent, D, Cully, M, Balach, L, Kaufmann, J, Neer, SM (1997). The Screen for Child Anxiety Related Emotional Disorders (SCARED): scale construction and psychometric characteristics. Journal of the American Academy of Child & Adolescent Psychiatry 36, 545553.CrossRefGoogle ScholarPubMed
Boomsma, DI, Rebollo, I, Derks, EM, Van Beijsterveldt, TC, Althoff, RR, Rettew, DC, Hudziak, JJ (2006). Longitudinal stability of the CBCL-juvenile bipolar disorder phenotype: a study in Dutch twins. Biological Psychiatry 60, 912920.CrossRefGoogle ScholarPubMed
Bullinger, M, Brütt, AL, Erhart, M, Ravens-Sieberer, U, the BELLA Study Group (2008). Psychometric properties of the KINDL-R questionnaire: results of the BELLA study. European Child & Adolescent Psychiatry (Suppl. 1) 17, 125132. doi 10.1007/s00787-008-1014-z.CrossRefGoogle ScholarPubMed
Caprara, GV, Paciello, M, Gerbino, M, Cugini, C (2007). Individual differences conducive to aggression and violence: trajectories and correlates of irritability and hostile rumination through adolescence. Aggress Behavior 33, 359374.CrossRefGoogle ScholarPubMed
Carballo, JJ, Serrano-Drozdowskyj, E, Nieto, RG, De Neira-Hernando, MD, Pérez-Forminaya, M, Molina-Pizarro, CA, De León-Martínez, V, Baca- García, E (2014). Prevalence and correlates of psychopathology in children and adolescents evaluated with the strengths and difficulties questionnaire dysregulation profile in a clinical setting. Psychopathology 47, 303311. doi: 10.1159/000360822.CrossRefGoogle ScholarPubMed
Caro-Cañizares, I, García-Nieto, R, Carballo, JJ (2015). Biological and environmental predictors of the dysregulation profile in children and adolescents: the story so far. International Journal of Adolescent Medicine and Health 27, 135141. doi: 10.1515/ijamh-2015-5004.CrossRefGoogle ScholarPubMed
Derogatis, LR, Lipman, RS, Rickels, K, Uhlenhuth, EH, Covi, L (1974). The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory. Behavioral Sciences 19, 115. doi: 10.1002/ bs.3830190102.CrossRefGoogle ScholarPubMed
Deutz, MH, Geeraerts, SB, van Baar, AL, Deković, M, Prinzie, P (2016). The Dysregulation Profile in middle childhood and adolescence across reporters: factor structure, measurement invariance, and links with self-harm and suicidal ideation. European Child & Adolescent Psychiatry 25, 431442. doi: 10.1007/s00787-015-0745-x.CrossRefGoogle ScholarPubMed
Dougherty, LR, Smith, VC, Bufferd, SJ, Carlson, GA, Stringaris, A, Leibenluft, E, Klein, DN (2014). DSM-5 disruptive mood dysregulation disorder: correlates and predictors in young children. Psychological Medicine 44, 23392350. doi: 10.1017/S0033291713003115.CrossRefGoogle ScholarPubMed
Duncan, SC, Duncan, TE, Hops, H (1996). Analysis of longitudinal data within accelerated longitudinal designs. Psychological Methods 1, 236248.CrossRefGoogle Scholar
Duncan, SC, Duncan, TE, Strycker, LA (2001). Qualitative and quantitative shifts in adolescent problem behavior development: a cohort-sequential multivariate latent growth modeling approach. Journal of Psychopathology and Behavioral Assessment 23, 4350.CrossRefGoogle Scholar
Duncan, SC, Duncan, TE, Strycker, LA (2006). Alcohol use from ages 9 to 16: a cohort-sequential latent growth model. Drug and Alcohol Dependence 81, 7181.CrossRefGoogle ScholarPubMed
Faulstich, ME, Carey, MP, Ruggiero, L (1986). Assessment of depression in childhood and adolescence: an evaluation of the Center for Epidemiological Studies Depression Scale for Children (CES- DC). The American Journal of Psychiatry 143, 10241027.Google Scholar
Garnefski, N, Kraaij, V (2006). Relationships between cognitive emotion regulation strategies and depressive symptoms: a comparative study of five specific samples. Personality and Individual Differences 40, 16591669. doi: 10.1016/j.paid.2005.12.009.CrossRefGoogle Scholar
Geeraerts, SB, Deutz, MH, Deković, M, Bunte, T, Schoemaker, K, Espy, KA, Prinzie, P, van Baar, A, Matthys, W (2015). The child behavior checklist dysregulation profile in preschool children: a broad dysregulation syndrome. Journal of the American Academy of Child and Adolescent Psychiatry 54, 595.e602.e. doi: 10.1016/j.jaac.2015.04.012.CrossRefGoogle ScholarPubMed
Goodman, R (1999). The extended version of the strengths and difficulties questionnaire as a guide to child psychiatric caseness and consequent burden. Journal of Child Psychology and Psychiatry 40, 791799.CrossRefGoogle ScholarPubMed
Holtmann, M, Becker, A, Banaschewski, T, Rothenberger, A, Roessner, V (2011 a). Psychometric validity of the strengths and difficulties questionnaire-dysregulation profile. Psychopathology 44, 5359. doi: 10.1159/000318164.CrossRefGoogle ScholarPubMed
Holtmann, M, Bölte, S, Goth, K, Döpfner, M, Plück, J, Huss, M, Fegert, JM, Lehmkul, G, Schmeck, K, Postka, F (2007). Prevalence of the child behavior checklist-pediatric bipolar disorder phenotype in a German general population sample. Bipolar Disorder 9, 895900. doi: 10.111/j.1399-5618.2007.00463.x.CrossRefGoogle Scholar
Holtmann, M, Buchmann, AF, Esser, G, Schmidt, MH, Banaschewski, T, Laucht, M (2011 b). The child behavior checklist-dysregulation profile predicts substance use, suicidality, and functional impairment: a longitudinal analysis. Journal of Child Psychology and Psychiatry 52, 139147. doi: 10.1111/j.1469-7610.2010.02309.CrossRefGoogle ScholarPubMed
Holtmann, M, Goth, K, Wockel, L, Poustka, F, Bolte, S (2008). CBCL-pediatric bipolar disorder phenotype: severe ADHD or bipolar disorder? Journal of Neural Transmission 115, 155161.CrossRefGoogle ScholarPubMed
Hudziak, JJ, Althoff, RR, Derks, EM, Faraone, SV, Boomsma, DI (2005). Prevalence and genetic architecture of child behavior checklist-juvenile bipolar disorder. Biological Psychiatry 58, 562568.CrossRefGoogle ScholarPubMed
Hudziak, JJ, van Beijsterveldt, CE, Bartels, M, Rietveld, MJ, Rettew, DC, Derks, EM, Boomsma, DI (2003). Individual differences in aggression: genetic analyses by age, gender, and informant in 3-, 7-, and 10-year-old Dutch twins. Behavior Genetics 33, 575589.CrossRefGoogle ScholarPubMed
Isensee, C, Castelao, CF, Kröner-Herwig, B (2016). Developmental trajectories of paediatric headache – sex-specific analyses and predictors. The Journal of Headache and Pain 17, 32. doi: 10.1186/s10194-016-0627-8.CrossRefGoogle ScholarPubMed
Jucksch, V, Salbach-Andrae, H, Lenz, K, Goth, K, Döpfner, M, Poustka, F, Freitag, CM, Lehmkul, G, Lehmkul, U, Holtmann, M (2011). Severe affective and behavioral dysregulation is associated with significant psychosocial adversity and impairment. Journal of Child Psychology and Psychiatry 52, 686695. doi: 10.111/j.1496-7610.2010.02322.x.CrossRefGoogle ScholarPubMed
Jung, T, Wickrama, KAS (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass 2, 302317.CrossRefGoogle Scholar
Klaghofer, R, Braehler, E (2001). Konstruktion und teststatistische Prüfung einer Kurzform der SCL-90-R (Construction and validation of a short form of the SCL-90-R). Zeitschrift für klinische Psychologie, Psychiatrie und Psychotherapie 49, 115124.Google Scholar
Klasen, F, Otto, C, Kriston, L, Patalay, P, Schlack, R, Ravens-Sieberer, U, the BELLA study group (2015). Risk and protective factors for the development of depressive symptoms in children and adolescents: results of the longitudinal BELLA study. European Child and Adolescent Psychiatry 24, 695703. doi: 10.1007/s00787-014-0637-5. Epub 2014 November 29.CrossRefGoogle ScholarPubMed
Lampert, T, Kroll, LE (2009) Messung des sozioökonomischen Status in sozialepidemiologischen Studien. In (ed. Richter, M., Hurrelmann, K.), Gesundheitliche Ungleichheit, Grundlagen, Probleme, Konzepte. 2. überarbeitete Aufl. VS Verlag für Sozialwissenschaften: Wiesbaden, pp. 309334.CrossRefGoogle Scholar
Lange, M, Kamtsiuris, P, Lange, C, Schaffrath-Rosario, A, Stolzenberg, H, Lampert, T (2007) Messung soziodemographischer Merkmale im Kinder- und Jugendgesundheitssurvey (KiGGS) und ihre Bedeutung am Beispiel der 332 Einschaetzung des allgemeinen Gesundheitszustands. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 50, 578589.CrossRefGoogle Scholar
Leibenluft, E, Stoddard, J (2013). The developmental psychopathology of irritability. Dev Psychopathology 25, 14731487. doi: 10.1017/S0954579413000722.CrossRefGoogle ScholarPubMed
Maoz, H, Goldstein, T, Axelson, DA, Goldstein, BI, Fan, J, Hickey, MB, Monk, K, Sakolsky, D, Diler, RS, Brent, D, Iyengar, S, Kupfer, DJ, Birmaher, B (2014). Dimensional psychopathology in preschool offspring of parents with bipolar disorder. Journal of Child Psychology and Psychiatry 55, 144153. doi: 10.1111/jcpp.12137. Epub 2013 December 30.CrossRefGoogle ScholarPubMed
Merwood, A, Chen, W, Rijsdijk, F, Skirrow, C, Larsson, H, Thapar, A, Kuntsi, J, Asherson, P (2014). Genetic associations between the symptoms of attention-deficit/hyperactivity disorder and emotional lability in child and adolescent twins. Journal of the American Academy of Child & Adolescent Psychiatry 53, 209220.e4. doi: 10.1016/j.jaac.2013.11.006. Epub 2013 November 26.CrossRefGoogle ScholarPubMed
Muthén, BO (2004). Latent Variable Analysis. The Sage Handbook of Quantitative Methodology for the Social Sciences. Sage Publications: Thousand Oaks, CA, pp. 345368.Google Scholar
Muthén, LK, Muthén, BO (1998–2015). Mplus User's Guide, 6th edn. Muthén & Muthén: Los Angeles.Google Scholar
Nagin, DS (1999). Analyzing developmental trajectories: a semiparametric, group-based approach. Psychological Methods 4, 139157.CrossRefGoogle Scholar
Nagin, DS (2005). Group-Based Modeling of Development. Harvard University Press: London, England.CrossRefGoogle Scholar
NIMH Research Domain Criteria (RDoC) (2016). National Institute of Mental Health. Retrieved June 22, 2016 (https://www.nimh.nih.gov/research-priorities/rdoc/index.shtml)Google Scholar
Ravens-Sieberer, U, Bullinger, M (1998) Assessing health related quality of life in chronically ill children with the German KINDL: first psychometric and content analytical results. Quality of Life Research 7, 399407.CrossRefGoogle ScholarPubMed
Ravens-Sieberer, U, Kurth, BM, the KiGGS study group and BELLA study group (2008). The mental health module (BELLA study) within the German Health Interview and Examination Survey of Children and Adolescents (KiGGS): study design and methods. European Child and Adolescent Psychiatry 17, 1021.CrossRefGoogle ScholarPubMed
Ravens-Sieberer, U, Otto, C, Kriston, L, Rothenberger, A, Döpfner, M, Herpertz-Dahlmann, B, Barkmann, C, Schön, G, Hölling, H, Schulte-Markwort, M, Klasen, F, the BELLA study group (2015). The longitudinal BELLA study: design, methods and course of mental health problems. European Child and Adolescent Psychiatry 24, 651663.CrossRefGoogle ScholarPubMed
Rothenberger, A, Woerner, W, Blanz, B (1987). Test-retest reliability of flash-evoked potentials in a field sample: a 5 year follow-up in schoolchildren with and without psychiatric disturbances. Electroencephalography and Clinical Neurophysiology, (Suppl. 40), 624628.Google Scholar
Shaw, P, Stringaris, A, Nigg, J, Leibenluft, E (2014). Emotional dysregulation and attention-deficit/hyperactivity disorder. The American Journal of Psychiatry 171, 276293. doi. org/10.1176/appi.ajp.2013.13070966.CrossRefGoogle ScholarPubMed
Sonuga-Barke, EJ, Cortese, S, Fairchild, G, Stringaris, A (2015). Annual research review: transdiagnostic neuroscience of child and adolescent mental disorders – differentiating decision making in attention-deficit/hyperactivity disorder, conduct disorder, depression, and anxiety. Journal of Child Psychology and Psychiatry 57, 321349. doi: 10.1111/jcpp.12496. Epub 2015 December 26.CrossRefGoogle ScholarPubMed
Spencer, TJ, Faraone, SV, Surman, CB, Petty, C, Clarke, A, Batchelder, H, Wozniak, J, Biederman, J (2011). Toward defining deficient emotional self-regulation in children with attention-deficit/hyperactivity disorder using the child behavior checklist: a controlled study. Postgraduate Medicine 123, 5059. doi: 10.3810/pgm.2011.09.2459.CrossRefGoogle ScholarPubMed
Stanger, C, Achenbach, TM, Verhulst, FC (1997). Accelerated longitudinal comparisons of aggressive versus delinquent syndromes. Development and Psychopathology 9, 4358.CrossRefGoogle ScholarPubMed
Stegge, H, Terwog, MM (2007). Awareness and regulation of emotion in typical and atypical development. In Handbook of Emotion Regulation (ed. Gross, J. J.), pp. 269286. Guilford Press: New York.Google Scholar
Stringaris, A (2011). Irritability in children and adolescents: a challenge for DSM-5. European Child and Adolescent Psychiatry, 20, 6166.CrossRefGoogle ScholarPubMed
Stringaris, A, Goodman, R (2009). Mood lability and psychopathology in youth. Psychological Medicine 39, 12371245. doi: 10.1017/S0033291708004662.CrossRefGoogle ScholarPubMed
Stringaris, A, Goodman, R, Ferdinando, S, Razdan, V, Muhrer, E, Leibenluft, E, Brotman, MA (2012). The Affective Reactivity Index: a concise irritability scale for clinical and research settings. Journal of Child Psychology and Psychiatry 53, 11091117. doi: 10.1111/j.1469-7610.2012.02561.x. Epub 2012 May 10.CrossRefGoogle ScholarPubMed
Volk, HE, Todd, RD (2007). Does the child behavior checklist juvenile bipolar disorder phenotype identify bipolar disorder? Biological Psychiatry 62, 115120. Epub 2006 September 1.CrossRefGoogle ScholarPubMed
Wiggins, JL, Mitchell, C, Stringaris, A, Leibenluft, E (2014). Developmental trajectories of irritability and bidirectional associations with maternal depression. Journal of the American Academy of Child & Adolescent Psychiatry 53, 11911205. doi: 10.1016/j.jaac.2014.08.005.CrossRefGoogle ScholarPubMed
Wille, N, Bettge, S, Ravens-Sieberer, U, the BELLA study group (2008). Risk and protective factors for children's and adolescents’ mental health: results of the BELLA study. European Child and Adolescent Psychiatry 17 (Suppl. 1), 133147. doi: 10.1007/s00787-008-1015-y.CrossRefGoogle ScholarPubMed
Winkler, J, Stolzenberg, H (1999). Der Sozialschichtindex im Bundes-Gesundheitssurvey. Das Gesundheitswesen 61 (Sonderheft 2), 178183.Google Scholar
Winsper, C, Wolke, D (2014). Infant and toddler crying, sleeping and feeding problems and trajectories of dysregulated behavior across childhood. Journal of Abnormal Child Psychology 42, 831843. doi: 10.1007/s10802-013-9813-1.CrossRefGoogle ScholarPubMed
Woerner, W, Rothenberger, A, Lahnert, B (1987). Test-retest reliability of spectral parameters of the resting EEG in a field sample: a 5 year follow-up in schoolchildren with and without psychiatric disturbances. Electroencephalography and Clinical Neurophysiology, (Suppl. 40), 629632.Google Scholar