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Perinatal and Obstetric Predictors for Autism Spectrum Disorder

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Abstract

The objective is to identify obstetric and perinatal factors that could be significant predictors of ASD and may lead to early detection and intervention. A population-based case–control study including 128 children diagnosed with ASD and 311 controls was conducted. Information was collected through self-reported questionnaires. The factors retained as significant predictors for ASD in the final adjusted hierarchical logistic regression model were cesarean section and male gender. The study revealed a higher incidence of cesarean sections and male gender in children with ASD in comparison to unaffected children confirming the results of previous studies. Children born by cesarean section, especially males, should be more closely monitored for the presence of ASD traits for early diagnosis and intervention.

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References

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders. DSM-IV-TR (4th ed.). Washington: American Psychiatric Association.

    Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders. Washington DC, American Psychiatric Association: DSM-V.

    Book  Google Scholar 

  • Becerra, T. A., Wilhelm, M., Olsen, J., Cockburn, M., & Ritz, B. (2013). Ambient air pollution and autism in los angeles county, california. Environmental Health Perspectives (Online), 121(3), 380.

    Article  Google Scholar 

  • Beggiato, A., Peyre, H., Maruani, A., Scheid, I., Rastam, M., Amsellem, F., et al. (2016). Gender differences in autism spectrum disorders: Divergence among specific core symptoms. Autism Research, 10, 680–689.

    Article  PubMed  Google Scholar 

  • Betrán, A. P., Merialdi, M., Lauer, J. A., Bing-Shun, W., Thomas, J., Van Look, P., & Wagner, M. (2007). Rates of caesarean section: Analysis of global, regional and national estimates. Paediatric and Perinatal Epidemiology, 21(2), 98–113.

    Article  PubMed  Google Scholar 

  • Betran, A. P., Torloni, M. R., Zhang, J., Ye, J., Mikolajczyk, R., Deneux-Tharaux, C., & Vogel, J. P. (2015). What is the optimal rate of caesarean section at population level? A systematic review of ecologic studies. Reproductive Health, 12(1), 57.

    Article  PubMed  PubMed Central  Google Scholar 

  • Bilder, D., Pinborough-Zimmerman, J., Miller, J., & McMahon, W. (2009). Prenatal, perinatal, and neonatal factors associated with autism spectrum disorders. Pediatrics, 123, 1293–1300.

    Article  PubMed  Google Scholar 

  • Boerma, T., Ronsmans, C., Melesse, D. Y., Barros, A. J., Barros, F. C., Juan, L., et al. (2018). Global epidemiology of use of and disparities in caesarean sections. The Lancet, 392(10155), 1341–1348.

    Article  Google Scholar 

  • Cheslack-Postava, K., Jokiranta, E., Suominen, A., Lehti, V., Sourander, A., & Brown, A. S. (2014). Variation by diagnostic subtype in risk for autism spectrum disorders associated with maternal parity among finnish births. Paediatric and Perinatal Epidemiology, 28(1), 58–66.

    Article  PubMed  Google Scholar 

  • Curran, E. A., Cryan, J. F., Kenny, L. C., Dinan, T. G., Kearney, P. M., & Khashan, A. S. (2016). Obstetrical mode of delivery and childhood behavior and psychological development in a british cohort. Journal of Autism and Developmental Disorders, 46(2), 603–614.

    Article  PubMed  Google Scholar 

  • Curran, E. A., Dalman, C., Kearney, P. M., Kenny, L. C., Cryan, J. F., Dinan, T. G., & Khashan, A. S. (2015a). Association between obstetric mode of delivery and autism spectrum disorder: A population-based sibling design study. JAMA Psychiatry, 72(9), 935–942.

    Article  PubMed  Google Scholar 

  • Curran, E. A., O’Neill, S. M., Cryan, J. F., Kenny, L. C., Dinan, T. G., Khashan, A. S., & Kearney, P. M. (2015b). Research review: Birth by caesarean section and development of autism spectrum disorder and attention-deficit/hyperactivity disorder: A systematic review and meta-analysis. Journal of Child Psychology and Psychiatry, 56(5), 500–508.

    Article  PubMed  Google Scholar 

  • Daniels, M. J., & Hogan, J. W. (2008). Missing data in longitudinal studies: Strategies for bayesian modeling and sensitivity analysis. Boca Raton: CRC Press.

    Book  Google Scholar 

  • Dodds, L., Fell, D. B., Shea, S., Armson, B. A., Allen, A. C., & Bryson, S. (2011). The role of prenatal, obstetric and neonatal factors in the development of autism. Journal of Autism and Developmental Disorders, 41(7), 891–902.

    Article  PubMed  Google Scholar 

  • Duan, G., Yao, M., Ma, Y., & Zhang, W. (2014). Perinatal and background risk factors for childhood autism in central china. Psychiatry Research, 220(1), 410–417.

    Article  PubMed  Google Scholar 

  • Elsabbagh, M., Divan, G., Koh, Y., Kim, Y. S., Kauchali, S., Marcín, C., et al. (2012). Global prevalence of autism and other pervasive developmental disorders. Autism Research, 5(3), 160–179.

    Article  PubMed  PubMed Central  Google Scholar 

  • Emerson, E., Kiernan, C., Alborz, A., Reeves, D., Mason, H., Swarbrick, R., et al. (2001). Predicting the persistence of severe self-injurious behavior. Research in Developmental Disabilities, 22(1), 67–75.

    Article  PubMed  Google Scholar 

  • Filipek, P. A., Accardo, P. J., Ashwal, S., Baranek, G. T., Cook, E. H., Jr., Dawson, G., et al. (2000). Practice parameter: Screening and diagnosis of autism: Report of the quality standards subcommittee of the american academy of neurology and the child neurology society. Neurology, 55(4), 468–479.

    Article  PubMed  Google Scholar 

  • Froehlich-Santino, W., Tobon, A. L., Cleveland, S., Torres, A., Phillips, J., Cohen, B., et al. (2014). Prenatal and perinatal risk factors in a twin study of autism spectrum disorders. Journal of Psychiatric Research, 54, 100–108.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (2014). Bayesian data analysis. Boca Raton, FL: Chapman & Hall/CRC.

    Google Scholar 

  • Gialloreti, L. E., Benvenuto, A., Benassi, F., & Curatolo, P. (2014). Are caesarean sections, induced labor and oxytocin regulation linked to autism spectrum disorders? Medical Hypotheses, 82(6), 713–718.

    Article  PubMed  Google Scholar 

  • Gibbons, L., Belizán, J., Lauer, J., Betrán, A., Merialdi, M., & Althabe, F. (2010). The global numbers and costs of additionally needed and unnecessary caesarean sections performed per year: Overuse as a barrier to universal coverage. (Background Paper No. 30). Geneva: World Health Organization.

    Google Scholar 

  • Gregory, S. G., Anthopolos, R., Osgood, C. E., Grotegut, C. A., & Miranda, M. L. (2013). Association of autism with induced or augmented childbirth in north carolina birth record (1990–1998) and education research (1997–2007) databases. JAMA Pediatrics, 167(10), 959–966.

    Article  PubMed  Google Scholar 

  • Guinchat, V., Thorsen, P., Laurent, C., Cans, C., Bodeau, N., & Cohen, D. (2012). Pre-, peri-and neonatal risk factors for autism. Acta Obstetricia et Gynecologica Scandinavica, 91(3), 287–300.

    Article  PubMed  Google Scholar 

  • Hadjkacem, I., Ayadi, H., Turki, M., Yaich, S., Khemekhem, K., Walha, A., et al. (2016). Prenatal, perinatal and postnatal factors associated with autism spectrum disorder. Jornal De Pediatria (Versão Em Português), 92(6), 595–601.

    Article  Google Scholar 

  • Hahler, E., & Elsabbagh, M. (2015). Autism: A global perspective. Current Developmental Disorders Reports, 2(1), 58–64.

    Article  Google Scholar 

  • Hallmayer, J., Cleveland, S., Torres, A., Phillips, J., Cohen, B., Torigoe, T., et al. (2011). Genetic heritability and shared environmental factors among twin pairs with autism. Archives of General Psychiatry, 68(11), 1095–1102.

    Article  PubMed  PubMed Central  Google Scholar 

  • Hansen, S. N., Schendel, D. E., & Parner, E. T. (2015). Explaining the increase in the prevalence of autism spectrum disorders: The proportion attributable to changes in reporting practices. JAMA Pediatrics, 169(1), 56–62.

    Article  PubMed  Google Scholar 

  • Harrell, F. (2015). Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis. New York: Springer.

    Book  Google Scholar 

  • Howlin, P. (1997). Prognosis in autism: Do specialist treatments affect long-term outcome? European Child & Adolescent Psychiatry, 6(2), 55–72.

    Article  Google Scholar 

  • Howlin, P., Rutter, M., Berger, M., Hemsley, R., Hersov, L., & Yule, W. (1987). Treatment of autistic children. Chichester: Wiley.

    Google Scholar 

  • Jordan, R., Jones, G., & Murray, D. (1998). Educational interventions for children with autism: A literature review of recent and current research.

  • Keyes, K. M., Susser, E., Cheslack-Postava, K., Fountain, C., Liu, K., & Bearman, P. S. (2012). Cohort effects explain the increase in autism diagnosis among children born from 1992 to 2003 in california. International Journal of Epidemiology, 41(2), 495–503. https://doi.org/10.1093/ije/dyr193.

    Article  PubMed  Google Scholar 

  • King, M., & Bearman, P. (2009). Diagnostic change and the increased prevalence of autism. International Journal of Epidemiology, 38(5), 1224–1234. https://doi.org/10.1093/ije/dyp261.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lunn, D. J., Thomas, A., Best, N., & Spiegelhalter, D. (2000). WinBUGS-a bayesian modelling framework: Concepts, structure, and extensibility. Statistics and Computing, 10(4), 325–337.

    Article  Google Scholar 

  • Maenner, M. J., Rice, C. E., Arneson, C. L., Cunniff, C., Schieve, L. A., Carpenter, L. A., et al. (2014). Potential impact of DSM-5 criteria on autism spectrum disorder prevalence estimates. JAMA Psychiatry, 71(3), 292–300.

    Article  PubMed  PubMed Central  Google Scholar 

  • McTiernan, A., Leader, G., Healy, O., & Mannion, A. (2011). Analysis of risk factors and early predictors of challenging behavior for children with autism spectrum disorder. Research in Autism Spectrum Disorders, 5(3), 1215–1222.

    Article  Google Scholar 

  • Parner, E. T., Baron-Cohen, S., Lauritsen, M. B., Jørgensen, M., Schieve, L. A., Yeargin-Allsopp, M., & Obel, C. (2012). Parental age and autism spectrum disorders. Annals of Epidemiology, 22(3), 143–150.

    Article  PubMed  PubMed Central  Google Scholar 

  • Polo-Kantola, P., Lampi, K. M., Hinkka-Yli-Salomäki, S., Gissler, M., Brown, A. S., & Sourander, A. (2014). Obstetric risk factors and autism spectrum disorders in Finland. The Journal of Pediatrics, 164(2), 358–365.

    Article  PubMed  Google Scholar 

  • Rogers, S. J. (1996). Brief report: Early intervention in autism. Journal of Autism and Developmental Disorders, 26(2), 243–246.

    Article  PubMed  Google Scholar 

  • Sandin, S., Hultman, C. M., Kolevzon, A., Gross, R., MacCabe, J. H., & Reichenberg, A. (2012). Advancing maternal age is associated with increasing risk for autism: A review and meta-analysis. Journal of the American Academy of Child & Adolescent Psychiatry, 51(5), 477–486.

    Article  Google Scholar 

  • Schieve, L. A., Rice, C., Devine, O., Maenner, M. J., Lee, L., 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.

    Article  PubMed  PubMed Central  Google Scholar 

  • Schieve, L. A., Tian, L. H., Baio, J., Rankin, K., Rosenberg, D., Wiggins, L., et al. (2014). Population attributable fractions for three perinatal risk factors for autism spectrum disorders, 2002 and 2008 autism and developmental disabilities monitoring network. Annals of Epidemiology, 24(4), 260–266.

    Article  PubMed  PubMed Central  Google Scholar 

  • Secretaría General de Sanidad y Consumo, Dirección General de Salud Pública, Calidad e Innovación, Subdirección General de Información Sanitaria e Innovación & Ministerio de Sanidad, Servicios Sociales e Igualdad. (2013). Evolución de la tasa de cesáreas hospitales generales SNS años 2001–2011. Retrieved from https://www.mscbs.gob.es/estadEstudios/estadisticas/docs/Ev_de_Tasa_Cesareas1.pdf

  • Shields, J. (2001). The NAS EarlyBird programme: Partnership with parents in early intervention. Autism, 5(1), 49–56.

    PubMed  Google Scholar 

  • World Health Organization. (1985). Appropriate technology for birth. Lancet, 2, 436–437.

    Google Scholar 

  • World Health Organization. (2019). Autism spectrum disorders. Retrieved from https://www.who.int/news-room/fact-sheets/detail/autism-spectrum-disorders

  • Ye, J., Betrán, A. P., Guerrero Vela, M., Souza, J. P., & Zhang, J. (2014). Searching for the optimal rate of medically necessary cesarean delivery. Birth, 41(3), 237–244.

    Article  PubMed  Google Scholar 

  • Zhang, X., Lv, C., Tian, J., Miao, R., Xi, W., Hertz-Picciotto, I., & Qi, L. (2010). Prenatal and perinatal risk factors for autism in china. Journal of Autism and Developmental Disorders, 40(11), 1311–1321.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgments

This study has been partly financed through Research Project SMI 19/2014 of the Regional Valencian Ministry of Health (Spain).

Funding

This study has been partly financed through research project SMI 19/2014 of the Conselleria de Sanitat Universal i Salut Pública (Comunitat Valenciana, Spain).

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Authors and Affiliations

Authors

Contributions

APM collaborated with the design and execution of the study and the editing of the final manuscript. IPC collaborated with the design of the study, the data analyses, the writing, and the editing of the final manuscript. PCB collaborated with the execution of the study and the editing of the final manuscript. MTM collaborated with the execution of the study and the editing of the final manuscript. ALG collaborated with the data analyses and the editing of the final manuscript. SMB collaborated with the data analyses and the editing of the final manuscript. MMSV collaborated with the design and execution of the study, the data analyses, the writing, and the editing of the final manuscript.

Corresponding author

Correspondence to María Morales-Suárez-Varela.

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The authors declare that they have no conflict of interest.

Research Involving Human Rights

The study was approved by the Ethics Committee of the La Fe Hospital of Valencia (Spain) (Ref. 214/0479). The study was performed in accordance with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments.

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Informed consent was obtained from all individual participants included in the study.

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Perales-Marín, A., Peraita-Costa, I., Cervera-Boada, P. et al. Perinatal and Obstetric Predictors for Autism Spectrum Disorder. J Autism Dev Disord 51, 3908–3916 (2021). https://doi.org/10.1007/s10803-020-04846-0

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  • DOI: https://doi.org/10.1007/s10803-020-04846-0

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