Log in

Incomplete Gestation has an Impact on Cognitive Abilities in Autism Spectrum Disorder

  • Brief Report
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

Extreme prematurity is known as a risk factor for autism spectrum disorder (ASD). However, the association between prematurity and ASD, for children born moderately and late preterm (MLPT) and those born early term (ET), is less established. This retrospective study aimed to characterize the phenotypic characteristics (i.e. behavioral profile and cognitive abilities) of 254 children with ASD, between 3 and 15 years of age, born MLPT (19 children), ET (60 children) and full term (175 children). MLPT and ET births do not modify ASD symptomatology, but modify cognitive development. The results highlight that incomplete gestation, i.e., MLPT or ET, has a negative impact on both verbal and nonverbal cognitive abilities, in children with neurodevelopmental vulnerability.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Thailand)

Instant access to the full article PDF.

Fig. 1
Fig. 2

References

  • Adrien, J. L. (2007). Batterie d’évaluation cognitive et socio-émotionnelle ECPA. London: Pearson.

    Google Scholar 

  • Agrawal, S., Rao, S. C., Bulsara, M. K., & Patole, S. K. (2018). Prevalence of autism spectrum disorder in preterm infants: A meta-analysis. Pediatrics, 142(3), e20180134. https://doi.org/10.1542/peds.2018-0134.

    Article  PubMed  Google Scholar 

  • Allotey, J., Zamora, J., Cheong-See, F., Kalidindi, M., Arroyo-Manzano, D., Asztalos, E., et al. (2018). Cognitive, motor, behavioural and academic performances of children born preterm: A meta-analysis and systematic review involving 64061 children. BJOG, 125(1), 16–25. https://doi.org/10.1111/1471-0528.14832.

    Article  PubMed  Google Scholar 

  • Barthelemy, C., Roux, S., Adrien, J. L., Hameury, L., Guerin, P., Garreau, B., et al. (1997). Validation of the revised behavior summarized evaluation scale. Journal of Autism and Developmental Disorders, 27(2), 139–153. https://doi.org/10.1023/A:102588772.

    Article  PubMed  Google Scholar 

  • Blondel, B., Lelong, N., Kermarrec, M., & Goffinet, F. (2012). Trends in perinatal health in France from 1995 to 2010. Results from the French National Perinatal Surveys. Journal de Gynecologie, Obstetrique et Biologie de la Reproduction, 41, e1–e15. https://doi.org/10.1016/j.jgyn.2012.04.014.

    Article  PubMed  Google Scholar 

  • Bonnet-Brilhault, F., Rajerison, T. A., Paillet, C., Guimard-Brunault, M., Saby, A., Ponson, L., et al. (2018). Autism is a prenatal disorder: Evidence from late gestation brain overgrowth. Autism Research, 11(12), 1635–1642. https://doi.org/10.1002/aur.2036.

    Article  PubMed  Google Scholar 

  • Bourreau, Y., Roux, S., Gomot, M., Bonnet-Brilhault, F., & Barthelemy, C. (2009). Validation of the repetitive and restricted behaviour scale in autism spectrum disorders. European Child and Adolescent Psychiatry, 18(11), 675–682. https://doi.org/10.1007/s00787-009-0028-5.

    Article  PubMed  Google Scholar 

  • Bowers, K., Wink, L. K., Pottenger, A., McDougle, C. J., & Erickson, C. (2015). Phenotypic differences in individuals with autism spectrum disorder born preterm and at term gestation. Autism, 19(6), 758–763. https://doi.org/10.1177/1362361314547366.

    Article  PubMed  Google Scholar 

  • Brunet, O., & Lézine, I. (2001). Echelle de développement psychomoteur de la première enfance (BLR). London: Pearson.

    Google Scholar 

  • Dueker, G., Chen, J., Cowling, C., & Haskin, B. (2016). Early developmental outcomes predicted by gestational age from 35 to 41 weeks. Early Human Development, 103, 85–90. https://doi.org/10.1016/j.earlhumdev.2016.07.006.

    Article  PubMed  Google Scholar 

  • Fombonne, E. (2005). The changing epidemiology of autism. Journal of Applied Research in Intellectual Disabilities, 18(4), 281–294.

    Article  Google Scholar 

  • Gill, J. V., & Boyle, E. M. (2017). Outcomes of infants born near term. Archives of Disease in Childhood, 102(2), 194–198. https://doi.org/10.1136/archdischild-2015-309584.

    Article  PubMed  Google Scholar 

  • Gray, P. H., Edwards, D. M., O’Callaghan, M. J., & Gibbons, K. (2015). Screening for autism spectrum disorder in very preterm infants during early childhood. Early Human Development, 91(4), 271–276. https://doi.org/10.1016/j.earlhumdev.2015.02.007.

    Article  PubMed  Google Scholar 

  • Guy, A., Seaton, S. E., Boyle, E. M., Draper, E. S., Field, D. J., Manktelow, B. N., et al. (2015). Infants born late/moderately preterm are at increased risk for a positive autism screen at 2 years of age. Journal of Pediatrics, 166(2), 269–275. https://doi.org/10.1016/j.jpeds.2014.10.053.

    Article  PubMed  Google Scholar 

  • Heuvelman, H., Abel, K., Wicks, S., Gardner, R., Johnstone, E., Lee, B., et al. (2018). Gestational age at birth and risk of intellectual disability without a common genetic cause. European Journal of Epidemiology, 33, 667–678. https://doi.org/10.1007/s10654-017-0340-1.

    Article  PubMed  Google Scholar 

  • Johnson, S., Hollis, C., Kochhar, P., Hennessy, E., Wolke, D., & Marlow, N. (2010). Psychiatric disorders in extremely preterm children: Longitudinal finding at age 11 years in the EPICure study. Journal of the American Academy of Child and Adolescent Psychiatry, 49(5), 453–463. https://doi.org/10.1016/j.jaac.2010.02.002.

    Article  PubMed  Google Scholar 

  • Johnson, S., Evans, T. A., Draper, E. S., Field, D. J., Manktelow, B. N., Marlow, N., et al. (2015). Neurodevelopmental outcomes following late and moderate prematurity: A population-based cohort study. Archives of Disease in Childhood-Fetal and Neonatal Edition, 100(4), F301–F308. https://doi.org/10.1136/archdischild-2014-307684.

    Article  PubMed  PubMed Central  Google Scholar 

  • Joseph, R. M., Korzeniewski, S. J., Allred, E. N., O’Shea, T. M., Heeren, T., Frazier, J. A., et al. (2017). Extremely low gestational age and very low birthweight for gestational age are risk factors for autism spectrum disorder in a large cohort study of 10-year-old children born at 23–27 weeks’ gestation. American Journal of Obstetrics and Gynecology, 216(3), 304. https://doi.org/10.1016/j.ajog.2016.11.1009.

    Article  PubMed  Google Scholar 

  • Kerstjens, J. M., de Winter, A. F., Bocca-Tjeertes, I. F., ten Vergert, E. M. J., Reijneveld, S. A., & Bos, A. F. (2011). Developmental delay in moderately preterm-born children at school entry. Journal of Pediatrics, 159(1), 92–98. https://doi.org/10.1016/j.jpeds.2010.12.041.

    Article  PubMed  Google Scholar 

  • Kugelman, A., & Colin, A. A. (2013). Late preterm infants: Near term but still in a critical developmental time period. Pediatrics, 132(4), 741–751. https://doi.org/10.1542/peds.2013-1131.

    Article  PubMed  Google Scholar 

  • Lord, C., Risi, S., Lambrecht, L., Cook, E. H., Jr., Leventhal, B. L., DiLavore, P. C., et al. (2000). The autism diagnostic observation schedule-generic: A standard measure of social and communication deficits associated with the spectrum of autism. Journal of Autism and Developmental Disorders, 30(3), 205–223. https://doi.org/10.1023/A:1005592401947.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., & Lecouteur, A. (1994). Autism diagnostic interview-revised—A revised version of a diagnostic interview for caregivers of individuals with possible pervasive developmental disorders. Journal of Autism and Developmental Disorders, 24(5), 659–685.

    Article  PubMed  Google Scholar 

  • McCarthy, D. (1977). Echelles d’aptitudes pour enfants. Paris: ECPA.

    Google Scholar 

  • Modabbernia, A., Velthorst, E., & Reichenberg, A. (2017). Environmental risk factors for autism: An evidence-based review of systematic reviews and meta-analyses. Molecular Autism, 8, 13. https://doi.org/10.1186/s13229-017-0121-4.

    Article  PubMed  PubMed Central  Google Scholar 

  • Moster, D., Lie, R. T., & Markestad, T. (2008). Long-term medical and social consequences of preterm birth. New England Journal of Medicine, 359(3), 262–273. https://doi.org/10.1056/NEJMoa0706475.

    Article  PubMed  Google Scholar 

  • Movsas, T. Z., & Paneth, N. (2012). The effect of gestational age on symptom severity in children with autism spectrum disorder. Journal of Autism and Developmental Disorders, 42(11), 2431–2439. https://doi.org/10.1007/s10803-012-1501-4.

    Article  PubMed  Google Scholar 

  • Perron-Borelli, M. (1996). Echelles différentielles d’efficience intellectuelle - forme révisée (EDEI-R). London: Pearson.

    Google Scholar 

  • Schieve, L. A., Rice, C., Devine, O., Maenner, M. J., Lee, L. C., Fitzgerald, R., et al. (2011). Have secular changes in perinatal risk factors contributed to the recent autism prevalence increase? development and application of a mathematical assessment model. Annals of Epidemiology, 21(12), 930–945. https://doi.org/10.1016/j.annepidem.2011.08.009.

    Article  PubMed  PubMed Central  Google Scholar 

  • Schopler, E., Reichler, R. J., DeVellis, R., & Dally, K. (1980). Towards objective classification of childhood autism: Chilhood Autism Rating Scale (CARS). Journal of Autism and Developmental Disorders, 10(1), 91–103.

    Article  PubMed  Google Scholar 

  • Schopler, E., Lansing, M. D., Reichler, R. J., & Marcus, L. M. (2008). PEP-3 - Profil psycho-éducatif: évaluation psycho-éducative individualisée de la Division TEACCH pour enfants présentant des troubles du spectre de l’autisme. Belgique: de Boeck.

    Google Scholar 

  • Torchin, H., Ancel, P. Y., Jarreau, P. H., & Goffinet, F. (2015). Epidemiology of preterm birth: Prevalence, recent trends, short- and long-term outcomes. Journal de Gynecologie, Obstetrique et Biologie de la Reproduction, 44(8), 723–731. https://doi.org/10.1016/j.jgyn.2015.06.010.

    Article  PubMed  Google Scholar 

  • Verhaeghe, L., Dereu, M., Warreyn, P., De Groote, I., Vanhaesebrouck, P., & Roeyers, H. (2016). Extremely preterm born children at very high risk for develo** autism spectrum disorder. Child Psychiatry and Human Development, 47(5), 729–739. https://doi.org/10.1007/s10578-015-0606-3.

    Article  PubMed  Google Scholar 

  • Voigt, B., Pietz, J., Pauen, S., Kliegel, M., & Reuner, G. (2012). Cognitive development in very versus moderately to late preterm and full-term children: Can effortful control account for group differences in toddlerhood? Early Human Development., 88(5), 307–313.

    Article  PubMed  Google Scholar 

  • Wechsler, D. (2004). Echelle d’intelligence de Wechsler pour la période pré-scolaire et primaire—Troisième édition (WPPSI-III). London: Pearson.

    Google Scholar 

  • Wechsler, D. (2005). Echelle d’intelligence de Wechsler pour enfants et adolescents—Quatrième édition (WISC-IV). London: Pearson.

    Google Scholar 

  • Wechsler, D. (2014). Echelle d’intelligence de Wechsler pour la période pré-scolaire et primaire—Quatrième édition (WPPSI-IV). London: Pearson.

    Google Scholar 

  • WHO. (1993). International Statistical Classification of Diseases and related health problems. 10th Revision. World Health Organisation, Geneva

Download references

Acknowledgments

None.

Funding

No funding was received.

Author information

Authors and Affiliations

Authors

Contributions

MB conducted the initial analyses, contributed to interpretation of data and draft the initial manuscript; ES interpreted data and help to revised the manuscript critically; JM, RB, LP and GT participated to acquisition of data and contributed to interpretation of data; SR coordinated and supervised data analyses and help to draft the manuscript; FBB conceptualized, designed and coordinated the study, interpreted data, draft and revised the manuscript critically. All authors read and approved the final manuscript as submitted.

Corresponding author

Correspondence to Frédérique Bonnet-Brilhault.

Ethics declarations

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Ethical approval was obtained from the Ethics Committee of the Tours University Hospital (No. 2016-009).

Informed Consent

According to French research regulation (Article L1122-1-1 of the French Public Health Code), written informed consent is not required for clinical database obtained via non interventional research and declared to the CNIL, the French data protection authority.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brayette, M., Saliba, E., Malvy, J. et al. Incomplete Gestation has an Impact on Cognitive Abilities in Autism Spectrum Disorder. J Autism Dev Disord 49, 4339–4345 (2019). https://doi.org/10.1007/s10803-019-04105-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-019-04105-x

Keywords

Navigation