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Cohort Profile: Quebec Longitudinal Study of Child Development (QLSCD)

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Social Psychiatry and Psychiatric Epidemiology Aims and scope Submit manuscript

Abstract

Purpose

The Quebec Longitudinal Study of Child Development (QLSCD) was designed to examine the long-term associations of preschool physical, cognitive, social, and emotional development with biopsychosocial development across childhood, adolescence, and young adulthood.

Methods

QLSCD is an ongoing prospective cohort including 2120 singletons born in 1997/1998 in the Canadian province of Quebec. So far, data have been collected annually or every 2 years from child ages 5 months to 21 years. The cohort currently includes 1245 participants. Data available include a range of environmental (e.g., family characteristics, child behaviour, educational attainment, mental health), biological (e.g., hair cortisol, genetic, epigenetic), and administrative data.

Results

QLSCD has contributed to the understanding of children’s psychosocial development, including the development of physical aggression and anxiety. QLSCD articles have advanced scientific knowledge on the influence of early childhood factors on childhood, adolescent, and young adult mental health, including the effect of participation in early childcare on cognitive and behavioural development, the developmental origins of adolescent and young adult mental health problems and suicide risk, and the development of interpersonal difficulties (e.g., peer victimisation) from preschool years to adolescence.

Conclusion

QLSCD has given major contributions to our understanding of the link between different aspects of child development and biopsychosocial development during the first two decades of life. Unique features include the presence of environmental, biological, and administrative data, long-term follow-up with frequent data collections, and use of data from multiple informants, including teachers, mothers, fathers, and the children themselves.

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References

  1. Tremblay RE, Pihl RO, Vitaro F, Dobkin PL (1994) Predicting early onset of male antisocial behavior from preschool behavior. Arch Gen Psychiatry 51:732–739. https://doi.org/10.1001/archpsyc.1994.03950090064009

    Article  CAS  PubMed  Google Scholar 

  2. Rouquette A, Côté SM, Pryor LE et al (2014) Cohort profile: the Quebec Longitudinal Study of Kindergarten Children (QLSKC). Int J Epidemiol 43:23–33. https://doi.org/10.1093/ije/dys177

    Article  PubMed  Google Scholar 

  3. Jetté M, Des Groseilliers L (2000) Survey Description and Methodology” in Longitudinal Study of Child Development in Québec (ÉLDEQ 1998–2002). Inst Stat Qué 1

  4. Tremblay RE (2000) Introduction à l’ÉLDEQ 1998–2002. In: L’enquête: description et méthodologie. Étude longitudinale du développement des enfants du Québec (ÉLDEQ 1998–2002), Jetté, M. & Des Groseillers. Institut de la statistique du Québec, Québec, Canada

  5. Baillargeon RH, Zoccolillo M, Keenan K et al (2007) Gender differences in physical aggression: a prospective population-based survey of children before and after 2 years of age. Dev Psychol 43:13–26. https://doi.org/10.1037/0012-1649.43.1.13

    Article  PubMed  Google Scholar 

  6. Côté SM, Boivin M, Nagin DS et al (2007) The role of maternal education and nonmaternal care services in the prevention of children’s physical aggression problems. Arch Gen Psychiatry 64:1305–1312. https://doi.org/10.1001/archpsyc.64.11.1305

    Article  PubMed  Google Scholar 

  7. Belleau L, Dion K (2020) Pondération et analyse de la non-réponse des données du volet 2019

  8. Bradley RH, Convyn RF, Burchinal M et al (2001) The home environments of children in the United States part II: relations with behavioral development through age thirteen. Child Dev 72:1868–1886

    Article  CAS  Google Scholar 

  9. Jones MJ, Moore SR, Kobor MS (2018) Principles and challenges of applying epigenetic epidemiology to psychology. Annu Rev Psychol 69:459–485. https://doi.org/10.1146/annurev-psych-122414-033653

    Article  PubMed  Google Scholar 

  10. Ouellet-Morin I, Laurin M, Robitaille M-P et al (2016) Validation of an adapted procedure to collect hair for cortisol determination in adolescents. Psychoneuroendocrinology 70:58–62. https://doi.org/10.1016/j.psyneuen.2016.05.002

    Article  CAS  PubMed  Google Scholar 

  11. Ouellet-Morin I, Cantave C, Paquin S et al (2020) Associations between developmental trajectories of peer victimization, hair cortisol, and depressive symptoms: a longitudinal study. J Child Psychol Psychiatry. https://doi.org/10.1111/jcpp.13228

    Article  PubMed  Google Scholar 

  12. Mazza JRSE, Boivin M, Tremblay RE et al (2016) Poverty and behavior problems trajectories from 1.5 to 8 years of age: is the gap widening between poor and non-poor children? Soc Psychiatry Psychiatr Epidemiol 51:1083–1092. https://doi.org/10.1007/s00127-016-1252-1

    Article  PubMed  Google Scholar 

  13. Mazza JRSE, Pingault J-B, Booji L et al (2016) Poverty and behavior problems during early childhood: the mediating role of maternal depression symptoms and parenting. Int J Behav Dev 41:670–680. https://doi.org/10.1177/0165025416657615

    Article  Google Scholar 

  14. Côté SM, Boivin M, Liu X et al (2009) Depression and anxiety symptoms: onset, developmental course and risk factors during early childhood. J Child Psychol Psychiatry 50:1201–1208. https://doi.org/10.1111/j.1469-7610.2009.02099.x

    Article  PubMed  Google Scholar 

  15. Laurin JC, Joussemet M, Tremblay R, Boivin M (2015) Early forms of controlling parenting and the development of childhood anxiety. J Child Fam Stud 24:3279–3292. https://doi.org/10.1007/s10826-015-0131-9

    Article  Google Scholar 

  16. Ahun MN, Consoli A, Pingault J-B et al (2018) Maternal depression symptoms and internalising problems in the offspring: the role of maternal and family factors. Eur Child Adolesc Psychiatry 27:921–932. https://doi.org/10.1007/s00787-017-1096-6

    Article  PubMed  Google Scholar 

  17. La Buissonnière-Ariza V, Séguin JR, Nassim M et al (2019) Chronic harsh parenting and anxiety associations with fear circuitry function in healthy adolescents: a preliminary study. Biol Psychol 145:198–210. https://doi.org/10.1016/j.biopsycho.2019.03.019

    Article  PubMed  PubMed Central  Google Scholar 

  18. Herba CM, Tremblay RE, Boivin M et al (2013) Maternal depressive symptoms and children’s emotional problems: can early child care help children of depressed mothers? JAMA Psychiatry 70:830–838. https://doi.org/10.1001/jamapsychiatry.2013.1361

    Article  PubMed  Google Scholar 

  19. Côté SM, Ahun MN, Herba CM et al (2018) Why is maternal depression related to adolescent internalizing problems? A 15-year population-based study. J Am Acad Child Adolesc Psychiatry 57:916–924. https://doi.org/10.1016/j.jaac.2018.04.024

    Article  PubMed  Google Scholar 

  20. Battaglia M, Touchette É, Garon-Carrier G et al (2016) Distinct trajectories of separation anxiety in the preschool years: persistence at school entry and early-life associated factors. J Child Psychol Psychiatry 57:39–46. https://doi.org/10.1111/jcpp.12424

    Article  PubMed  Google Scholar 

  21. Huijbregts SCJ, Séguin JR, Zoccolillo M et al (2007) Associations of maternal prenatal smoking with early childhood physical aggression, hyperactivity-impulsivity, and their co-occurrence. J Abnorm Child Psychol 35:203–215. https://doi.org/10.1007/s10802-006-9073-4

    Article  PubMed  PubMed Central  Google Scholar 

  22. Huijbregts SCJ, Séguin JR, Zoccolillo M et al (2008) Maternal prenatal smoking, parental antisocial behavior, and early childhood physical aggression. Dev Psychopathol 20:437–453. https://doi.org/10.1017/S0954579408000217

    Article  PubMed  PubMed Central  Google Scholar 

  23. Battaglia M, Garon-Carrier G, Côté SM et al (2017) Early childhood trajectories of separation anxiety: Bearing on mental health, academic achievement, and physical health from mid-childhood to preadolescence. Depress Anxiety 34:918–927. https://doi.org/10.1002/da.22674

    Article  PubMed  Google Scholar 

  24. Petitclerc A, Boivin M, Dionne G et al (2009) Disregard for rules: the early development and predictors of a specific dimension of disruptive behavior disorders. J Child Psychol Psychiatry 50:1477–1484. https://doi.org/10.1111/j.1469-7610.2009.02118.x

    Article  PubMed  Google Scholar 

  25. Baillargeon RH, Morisset A, Keenan K et al (2012) Development of disruptive behaviors in young children: a prospective population-based cohort study. Infant Ment Health J 33:633–650. https://doi.org/10.1002/imhj.21353

    Article  PubMed  PubMed Central  Google Scholar 

  26. Fontaine NMG, Brendgen M, Vitaro F et al (2019) Longitudinal associations between delinquency, depression and anxiety symptoms in adolescence: testing the moderating effect of sex and family socioeconomic status. J Crim Justice 62:58–65. https://doi.org/10.1016/j.jcrimjus.2018.09.007

    Article  Google Scholar 

  27. Vitaro F, Barker ED, Boivin M et al (2006) Do early difficult temperament and harsh parenting differentially predict reactive and proactive aggression? J Abnorm Child Psychol 34:685–695. https://doi.org/10.1007/s10802-006-9055-6

    Article  PubMed  Google Scholar 

  28. van Lier PAC, Vitaro F, Barker ED et al (2012) Peer victimization, poor academic achievement, and the link between childhood externalizing and internalizing problems. Child Dev 83:1775–1788. https://doi.org/10.1111/j.1467-8624.2012.01802.x

    Article  PubMed  Google Scholar 

  29. Orri M, Galera C, Turecki G et al (2018) Association of childhood irritability and depressive/anxious mood profiles with adolescent suicidal ideation and attempts. JAMA Psychiatry 75:465–473. https://doi.org/10.1001/jamapsychiatry.2018.0174

    Article  PubMed  PubMed Central  Google Scholar 

  30. Lemyre A, Poliakova N, Vitaro F et al (2018) Does shyness interact with peer group affiliation in predicting substance use in adolescence? Psychol Addict Behav J Soc Psychol Addict Behav 32:132–139. https://doi.org/10.1037/adb0000328

    Article  Google Scholar 

  31. Pryor L, Brendgen M, Boivin M et al (2016) Overweight during childhood and internalizing symptoms in early adolescence: the mediating role of peer victimization and the desire to be thinner. J Affect Disord 202:203–209. https://doi.org/10.1016/j.jad.2016.05.022

    Article  PubMed  Google Scholar 

  32. Baillargeon RH, Morisset A, Keenan K et al (2011) The development of prosocial behaviors in young children: a prospective population-based cohort study. J Genet Psychol 172:221–251. https://doi.org/10.1080/00221325.2010.533719

    Article  PubMed  Google Scholar 

  33. Baillargeon RH, Normand CL, Séguin JR et al (2007) The evolution of problem and social competence behaviors during toddlerhood: a prospective population-based cohort survey. Infant Ment Health J 28:12–38. https://doi.org/10.1002/imhj.20120

    Article  PubMed  Google Scholar 

  34. Girard L-C, Tremblay RE, Nagin D, Côté SM (2019) Development of aggression subtypes from childhood to adolescence: a group-based multi-trajectory modelling perspective. J Abnorm Child Psychol 47:825–838. https://doi.org/10.1007/s10802-018-0488-5

    Article  PubMed  Google Scholar 

  35. Tremblay RE, Vitaro F, Côté SM (2018) Developmental origins of chronic physical aggression: a bio-psycho-social model for the next generation of preventive interventions. Annu Rev Psychol 69:383–407. https://doi.org/10.1146/annurev-psych-010416-044030

    Article  PubMed  Google Scholar 

  36. Tremblay RE (2004) Decade of behavior distinguished lecture: development of physical aggression during infancy. Infant Ment Health J 25:399–407. https://doi.org/10.1002/imhj.20015

    Article  Google Scholar 

  37. Teymoori A, Côté SM, Jones BL et al (2018) Risk factors associated with boys’ and girls’ developmental trajectories of physical aggression from early childhood through early adolescence. JAMA Netw Open 1:e186364. https://doi.org/10.1001/jamanetworkopen.2018.6364

    Article  PubMed  PubMed Central  Google Scholar 

  38. Baillargeon RH, Thibodeau E, Lefebvre F, Jeyaganth S (2011) Obstetrical complications and physical aggression behaviours before the age of 2. Can J Psychiatry Rev Can Psychiatr 56:427–435. https://doi.org/10.1177/070674371105600706

    Article  Google Scholar 

  39. Séguin JR, Parent S, Tremblay RE, Zelazo PD (2009) Different neurocognitive functions regulating physical aggression and hyperactivity in early childhood. J Child Psychol Psychiatry 50:679–687. https://doi.org/10.1111/j.1469-7610.2008.02030.x

    Article  PubMed  PubMed Central  Google Scholar 

  40. Girard L-C, Pingault J-B, Falissard B et al (2014) Physical aggression and language ability from 17 to 72 months: cross-lagged effects in a population sample. PLoS One 9:e112185. https://doi.org/10.1371/journal.pone.0112185

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Galéra C, Côté SM, Bouvard MP et al (2011) Early risk factors for hyperactivity-impulsivity and inattention trajectories from age 17 months to 8 years. Arch Gen Psychiatry 68:1267–1275. https://doi.org/10.1001/archgenpsychiatry.2011.138

    Article  PubMed  Google Scholar 

  42. Navarro MC, Orri M, Nagin D et al (2020) Adolescent internalizing symptoms: the importance of multi-informant assessments in childhood. J Affect Disord 266:702–709. https://doi.org/10.1016/j.jad.2020.01.106

    Article  PubMed  Google Scholar 

  43. Côté SM, Orri M, Brendgen M et al (2017) Psychometric properties of the mental health and social inadaptation assessment for adolescents (MIA) in a population-based sample. Int J Methods Psychiatr Res. https://doi.org/10.1002/mpr.1566

    Article  PubMed  PubMed Central  Google Scholar 

  44. Carbonneau R, Boivin M, Brendgen M et al (2016) Comorbid development of disruptive behaviors from age 1½ to 5 years in a population birth-cohort and association with school adjustment in first grade. J Abnorm Child Psychol 44:677–690. https://doi.org/10.1007/s10802-015-0072-1

    Article  PubMed  Google Scholar 

  45. Oncioiu SI, Orri M, Boivin M et al (2020) Early childhood factors associated with peer victimization trajectories from 6 to 17 years of age. Pediatrics. https://doi.org/10.1542/peds.2019-2654

    Article  PubMed  Google Scholar 

  46. Orri M, Galera C, Turecki G et al (2019) Pathways of association between childhood irritability and adolescent suicidality. J Am Acad Child Adolesc Psychiatry 58:99-107.e3. https://doi.org/10.1016/j.jaac.2018.06.034

    Article  PubMed  Google Scholar 

  47. Forte A, Orri M, Galera C et al (2019) Developmental trajectories of childhood symptoms of hyperactivity/inattention and suicidal behavior during adolescence. Eur Child Adolesc Psychiatry. https://doi.org/10.1007/s00787-019-01338-0

    Article  PubMed  Google Scholar 

  48. Zdebik MA, Boivin M, Battaglia M et al (2019) Childhood multi-trajectories of shyness, anxiety and depression: associations with adolescent internalizing problems. J Appl Dev Psychol 64:101050. https://doi.org/10.1016/j.appdev.2019.101050

    Article  Google Scholar 

  49. Mazza JRSE, Lambert J, Zunzunegui MV et al (1982) (2017) Early adolescence behavior problems and timing of poverty during childhood: a comparison of lifecourse models. Soc Sci Med 177:35–42. https://doi.org/10.1016/j.socscimed.2017.01.039

    Article  Google Scholar 

  50. Côté-Lussier C, Barnett TA, Kestens Y et al (2015) The role of the residential neighborhood in linking youths’ family poverty trajectory to decreased feelings of safety at school. J Youth Adolesc 44:1194–1207. https://doi.org/10.1007/s10964-014-0214-8

    Article  PubMed  Google Scholar 

  51. Huijbregts SCJ, Séguin JR, Zelazo PD et al (2006) Interrelations between maternal smoking during pregnancy, birth weight and sociodemographic factors in the prediction of early cognitive abilities. Infant Child Dev 15:593–606. https://doi.org/10.1002/icd.480

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Junger M, Japel C, Côté SM et al (2013) Smoking and medication during pregnancy predict repeated unintentional injuries in early childhood but not single unintentional injuries. Prev Sci Off J Soc Prev Res 14:13–24. https://doi.org/10.1007/s11121-012-0304-3

    Article  Google Scholar 

  53. Melchior M, Chastang J-F, Falissard B et al (2012) Food insecurity and children’s mental health: a prospective birth cohort study. PLoS One 7:e52615. https://doi.org/10.1371/journal.pone.0052615

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Côté SM, Pingault J-B, Boivin M et al (2010) Pre-school education services and aggressive behaviour: a preventive role in vulnerable families. PSN Psychiatr Sci Hum Neurosci 8:77–87. https://doi.org/10.1007/s11836-010-0131-1

    Article  Google Scholar 

  55. Côté SM, Petitclerc A, Raynault M-F et al (2010) Short- and long-term risk of infections as a function of group child care attendance: an 8-year population-based study. Arch Pediatr Adolesc Med 164:1132–1137. https://doi.org/10.1001/archpediatrics.2010.216

    Article  PubMed  Google Scholar 

  56. Geoffroy M-C, Côté SM, Giguère C-É et al (2010) Closing the gap in academic readiness and achievement: the role of early childcare. J Child Psychol Psychiatry 51:1359–1367. https://doi.org/10.1111/j.1469-7610.2010.02316.x

    Article  PubMed  PubMed Central  Google Scholar 

  57. Geoffroy M-C, Power C, Touchette E et al (2013) Childcare and overweight or obesity over 10 years of follow-up. J Pediatr 162:753-758.e1. https://doi.org/10.1016/j.jpeds.2012.09.026

    Article  PubMed  Google Scholar 

  58. Laurin JC, Geoffroy M-C, Boivin M et al (2015) Child care services, socioeconomic inequalities, and academic performance. Pediatrics 136:1112–1124. https://doi.org/10.1542/peds.2015-0419

    Article  PubMed  Google Scholar 

  59. Orri M, Tremblay RE, Japel C et al (2019) Early childhood child care and disruptive behavior problems during adolescence: a 17-year population-based propensity score study. J Child Psychol Psychiatry 60:1174–1182. https://doi.org/10.1111/jcpp.13065

    Article  PubMed  Google Scholar 

  60. Geoffroy M-C, Séguin JR, Lacourse E et al (2012) Parental characteristics associated with childcare use during the first 4 years of life: results from a representative cohort of Québec families. Can J Public Health Rev Can Sante Publique 103:76–80

    Article  Google Scholar 

  61. Pingault J-B, Tremblay RE, Vitaro F et al (2015) Early nonparental care and social behavior in elementary school: support for a social group adaptation hypothesis. Child Dev 86:1469–1488. https://doi.org/10.1111/cdev.12399

    Article  PubMed  Google Scholar 

  62. Bilodeau F, Brendgen M, Vitaro F et al (2018) Longitudinal association between peer victimization and sleep problems in preschoolers: the moderating role of parenting. J Clin Child Adolesc Psychol Off J Soc Clin Child Adolesc Psychol Am Psychol Assoc Div 53(47):S555–S568. https://doi.org/10.1080/15374416.2018.1469091

    Article  Google Scholar 

  63. Geoffroy M-C, Boivin M, Arseneault L et al (2018) Childhood trajectories of peer victimization and prediction of mental health outcomes in midadolescence: a longitudinal population-based study. CMAJ Can Med Assoc J J Assoc Medicale Can 190:E37–E43. https://doi.org/10.1503/cmaj.170219

    Article  Google Scholar 

  64. Geoffroy M-C, Boivin M, Arseneault L et al (2016) Associations between peer victimization and suicidal ideation and suicide attempt during adolescence: results from a prospective population-based birth cohort. J Am Acad Child Adolesc Psychiatry 55:99–105. https://doi.org/10.1016/j.jaac.2015.11.010

    Article  PubMed  Google Scholar 

  65. Brendgen M, Poulin F (2018) Continued bullying victimization from childhood to young adulthood: a longitudinal study of mediating and protective factors. J Abnorm Child Psychol 46:27–39. https://doi.org/10.1007/s10802-017-0314-5

    Article  PubMed  Google Scholar 

  66. Barker ED, Boivin M, Brendgen M et al (2008) Predictive validity and early predictors of peer-victimization trajectories in preschool. Arch Gen Psychiatry 65:1185–1192. https://doi.org/10.1001/archpsyc.65.10.1185

    Article  PubMed  Google Scholar 

  67. Qualter P, Murphy SM, Abbott J et al (2015) Developmental associations between victimization and body mass index from 3 to 10 years in a population sample. Aggress Behav 41:109–122. https://doi.org/10.1002/ab.21580

    Article  PubMed  Google Scholar 

  68. Perret LC, Orri M, Boivin M et al (2020) Cybervictimization in adolescence and its association with subsequent suicidal ideation/attempt beyond face-to-face victimization: a longitudinal population-based study. J Child Psychol Psychiatry. https://doi.org/10.1111/jcpp.13158

    Article  PubMed  Google Scholar 

  69. Pierce T, Boivin M, Frenette E et al (2010) Maternal self-efficacy and hostile-reactive parenting from infancy to toddlerhood. Infant Behav Dev 33:149–158. https://doi.org/10.1016/j.infbeh.2009.12.005

    Article  PubMed  Google Scholar 

  70. Boivin M, Pérusse D, Dionne G et al (2005) The genetic-environmental etiology of parents’ perceptions and self-assessed behaviours toward their 5-month-old infants in a large twin and singleton sample. J Child Psychol Psychiatry 46:612–630. https://doi.org/10.1111/j.1469-7610.2004.00375.x

    Article  PubMed  Google Scholar 

  71. Forget-Dubois N, Dionne G, Lemelin J-P et al (2009) Early child language mediates the relation between home environment and school readiness. Child Dev 80:736–749. https://doi.org/10.1111/j.1467-8624.2009.01294.x

    Article  PubMed  Google Scholar 

  72. Forget-Dubois N, Lemelin J-P, Boivin M et al (2007) Predicting early school achievement with the EDI: a longitudinal population-based study. Early Educ Dev 18:405–426. https://doi.org/10.1080/10409280701610796

    Article  Google Scholar 

  73. Dionne G, Boivin M, Séguin JR et al (2008) Gestational diabetes hinders language development in offspring. Pediatrics 122:e1073-1079. https://doi.org/10.1542/peds.2007-3028

    Article  PubMed  Google Scholar 

  74. Garon-Carrier G, Boivin M, Lemelin J-P et al (2018) Early developmental trajectories of number knowledge and math achievement from 4 to 10 years: low-persistent profile and early-life predictors. J Sch Psychol 68:84–98. https://doi.org/10.1016/j.jsp.2018.02.004

    Article  PubMed  Google Scholar 

  75. Garon-Carrier G, Boivin M, Guay F et al (2016) Intrinsic motivation and achievement in mathematics in elementary school: a longitudinal investigation of their association. Child Dev 87:165–175. https://doi.org/10.1111/cdev.12458

    Article  PubMed  Google Scholar 

  76. Plourde V, Boivin M, Brendgen M et al (2017) Phenotypic and genetic associations between reading and attention-deficit/hyperactivity disorder dimensions in adolescence. Dev Psychopathol 29:1215–1226. https://doi.org/10.1017/S0954579416001255

    Article  PubMed  Google Scholar 

  77. Ahun MN, Geoffroy M-C, Herba CM et al (2017) Timing and chronicity of maternal depression symptoms and children’s verbal abilities. J Pediatr 190:251–257. https://doi.org/10.1016/j.jpeds.2017.07.007

    Article  PubMed  Google Scholar 

  78. Orri M, Scardera S, Perret LC et al (2020) Mental health problems and risk of suicidal ideation and attempts in adolescents. Pediatrics. https://doi.org/10.1542/peds.2019-3823

    Article  PubMed  Google Scholar 

  79. Galera C, Orri M, Vergunst F et al (2020) Developmental profiles of childhood attention deficit/hyperactivity disorder (ADHD) and irritability: association with adolescent mental health, functional impairment and suicidal outcomes. . https://doi.org/10.1111/jcpp.13270

    Article  PubMed  Google Scholar 

  80. Orri M, Scardena S, Perret LC et al (2020) Mental health problems and risk of suicidal ideation and attempts in adolescents. Pediatrics. https://doi.org/10.1542/peds.2019-3823

    Article  PubMed  Google Scholar 

  81. Orri M, Gunnell D, Richard-Devantoy S et al (2019) In-utero and perinatal influences on suicide risk: a systematic review and meta-analysis. Lancet Psychiatry 6:477–492. https://doi.org/10.1016/S2215-0366(19)30077-X

    Article  PubMed  Google Scholar 

  82. Bolanis D, Orri M, Castellanos-Ryan N et al (2020) Cannabis use, depression and suicidal ideation in adolescence: direction of associations in a population based cohort. J Affect Disord 274:1076–1083. https://doi.org/10.1016/j.jad.2020.05.136

    Article  PubMed  Google Scholar 

  83. Orri M, Russell A, Mars B et al (2020) Perinatal adversity profiles and suicide attempt in adolescence and young adulthood: longitudinal analyses from two 20-year birth cohorts. Psychol Med. https://doi.org/10.1017/S0033291720002974

    Article  PubMed  Google Scholar 

  84. Orri M, Perret LC, Turecki G, Geoffroy M-C (2018a) Association between irritability and suicide-related outcomes across the life-course. Systematic review of both community and clinical studies. J Affect Disord 239:220–233. https://doi.org/10.1016/j.jad.2018.07.010

    Article  PubMed  Google Scholar 

  85. Orri M, Perret LC, Turecki G, Geoffroy M-C (2018b) Association between irritability and suicide-related outcomes across the life-course. Systematic review of both community and clinical studies. https://doi.org/10.1016/j.jad.2018.07.010

    Article  PubMed  Google Scholar 

  86. Fraser A, Macdonald-Wallis C, Tilling K et al (2013) Cohort profile: the avon longitudinal study of parents and children: ALSPAC mothers cohort. Int J Epidemiol 42:97–110. https://doi.org/10.1093/ije/dys066

    Article  PubMed  Google Scholar 

  87. Fenson L, Pethick S, Renda C et al (2000) Short-form versions of the macarthur communicative development inventories. Appl Psycholing 21:95–116

    Article  Google Scholar 

  88. Alp IE (2016) Measuring the size of working memory in very young children: the imitation sorting task. Int J Behav Dev. https://doi.org/10.1177/016502549401700108

    Article  Google Scholar 

  89. Freeman S (2013) Wechsler preschool and primary scale of intelligence. In: Volkmar FR (ed) Encyclopedia of autism spectrum disorders. Springer, New York, pp 3351–3360

    Google Scholar 

  90. Zelazo PD, Jacques S, Burack JA, Frye D (2002) The relation between theory of mind and rule use: evidence from persons with autism-spectrum disorders. Infant Child Dev 11:171–195. https://doi.org/10.1002/icd.304

    Article  Google Scholar 

  91. Dunn L, Thériault-Whalen C, Dunn L (1993) EVIP: échelle de vocabulaire en images Peabody. Psycan, Toronto

    Google Scholar 

  92. Okamoto Y, Case R (1996) Exploring the microstructure of children’s central conceptual structures in the domain of number. Monogr Soc Res Child Dev 61:27–58. https://doi.org/10.1111/j.1540-5834.1996.tb00536.x

    Article  CAS  PubMed  Google Scholar 

  93. Busch JC, Watson JA, Brinkley V et al (1993) Preschool embedded figures test performance of young children: age and gender differences. Percept Mot Skills 77:491–496. https://doi.org/10.2466/pms.1993.77.2.491

    Article  CAS  PubMed  Google Scholar 

  94. Pascual-Leone J, Baillargeon R (1994) Developmental measurement of mental attention. Int J Behav Dev 17:161–200. https://doi.org/10.1177/016502549401700110

    Article  Google Scholar 

  95. Chew AL, Morris JD (1984) Validation of the lollipop test: a diagnostic screening test of school readiness. Educ Psychol Meas 44:987–991. https://doi.org/10.1177/0013164484444022

    Article  Google Scholar 

  96. Ulrich DA (1985) Test of gross motor development. PRO-ED

  97. Kaufman AS, Kaufman NL (2014) Kaufman assessment battery for children, second edition. In: Encyclopedia of Special Education. American Cancer Society

  98. Korkman M, Kemp S, Kirk U (1998) NEPSY: a developmental neuropsychological assessment ; Manual. PsychCorp

  99. Sinha (2010) The pearson guide to quantitative aptitude for CAT 2/e. Pearson Education India

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Acknowledgement

For more than 20 years, the Quebec Longitudinal Study of Child Development (QLSCD) has relied on the relentless effort and contributions of many professionals and scholars from the Quebec government and universities. Special thanks to Christine Collin, Aline Émond, Daniel Tremblay, and Marc Renaud who believed in the project and helped provide the initial funding, to Mireille Jetté, Bertrand Perron, Nancy Illick, Hélène Desrosiers, and their teams at the Institut de la Statistique du Québec (ISQ) who led the QLSCD data collection over the years, to Lyse Desmarais and her team at GRIP who coordinated the QLSCD grants and the interface with ISQ, and to the many scientists who generously gave their time and expertise to guide the longitudinal assessments; among the many, we wish to thank Lise Dubois, Jacques Montplaisir, Dominique Petit, Jean Séguin, Christa Japel, Mark Zoccolillo, Ginette Dionne, Frank Vitaro, Mara Brendgen, Jean-Philippe Gouin, Gustavo Turecki, and Simon Larose. Many thanks also to Qian Xu, who serves as the main data analyst at the GRIP. Finally, we are deeply grateful to the participating parents, children, and teachers who make this unique endeavour possible.

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MO, CC, and MNA wrote the initial draft; all authors revised and commented the draft for important intellectual contributions, gave final approval of the version to be published, and agree to be accountable for all aspects of the work.

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Correspondence to Sylvana M. Côté.

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Orri, M., Boivin, M., Chen, C. et al. Cohort Profile: Quebec Longitudinal Study of Child Development (QLSCD). Soc Psychiatry Psychiatr Epidemiol 56, 883–894 (2021). https://doi.org/10.1007/s00127-020-01972-z

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