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Journal of Autism and Developmental Disorders

, Volume 49, Issue 11, pp 4409–4420 | Cite as

Clinical Profile of Autism Spectrum Disorder in a Pediatric Population from Northern Mexico

  • Tania González-CortésEmail author
  • Elizabeth Gutiérrez-Contreras
  • Perla Karina Espino-Silva
  • Jorge Haro-Santa Cruz
  • Diana Álvarez-Cruz
  • Claudia Cecilia Rosales-González
  • Cristina Sida-Godoy
  • Martha Patricia Nava-Hernández
  • Francisco Carlos López-Márquez
  • Pablo Ruiz-Flores
Original Paper

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental condition classified based on needs of support, in order to address impairments in the areas of social communication and restricted and repetitive behavior. The aim of this work is to describe the main clinical features of the ASD severity levels in a group of Mexican pediatric patients. The results show firstly that this condition was more frequent in males than females. Secondly, an inverse relationship was found between the intellectual coefficient and the level of severity of the disorder. Thirdly, deficits in social reciprocity and communication were more evident in Level 3, than in Levels 1 and 2, while the difference was less evident in restricted and repetitive patterns of behavior.

Keywords

ASD Severity levels Children IQ Clinical features 

Notes

Acknowledgments

To MD José Roberto Cárdenas Zavala, Lic. Josue Gabino Jiménez Flores and MAP Israel Adolfo Cuellar Hernández, for facilitating the adequate development of this project through their administrative management.

Author Contributions

TG-C and PR-F contributed to the conception of the project. EG-C, CCR-G, DA-C, MPN-H, and FCL-M contributed to the methodology of the project. CS-G contributed to the data curation. Formal analysis and investigation by TG-C, JH-SC, and PKE-S. Writing—original draft preparation by TG-C, PR-F, and EG-C.

References

  1. American College of Obstetricians and Gynecologists. (2013). Committee opinion no. 559: Cesarean delivery on maternal request. Obstetrics and Gynecology, 121, 904.  https://doi.org/10.1097/01.aog.0000428647.67925.d3.CrossRefGoogle Scholar
  2. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington: American Psychiatric Association.CrossRefGoogle Scholar
  3. Anderson, G. M., Scahill, L., McCracken, J. T., McDougle, C. J., Aman, M. G., Tierney, E., et al. (2007). Effects of short-and long-term risperidone treatment on prolactin levels in children with autism. Biological Psychiatry, 61, 545–550.CrossRefGoogle Scholar
  4. Bitsika, V., Arnold, W. M., & Sharpley, C. F. (2018). Cluster analysis of autism spectrum disorder symptomatology: Qualitatively distinct subtypes or quantitative degrees of severity of a single disorder? Research in Developmental Disabilities, 76, 65–75.  https://doi.org/10.1016/j.ridd.2018.03.006.CrossRefPubMedGoogle Scholar
  5. Black, M. H., Chen, N. T. M., Iyer, K. K., Lipp, O. V., Bölte, S., Falkmer, M., et al. (2017). Mechanisms of facial emotion recognition in autism spectrum disorders: Insights from eye tracking and electroencephalography. Neuroscience and Biobehavioral Reviews.  https://doi.org/10.1016/j.neubiorev.2017.06.016.CrossRefPubMedPubMedCentralGoogle Scholar
  6. Buescher, A. V., Cidav, Z., Knapp, M., & Mandell, D. S. (2014). Costs of autism spectrum disorders in the United Kingdom and the United States. JAMA Pediatrics.  https://doi.org/10.1001/jamapediatrics.2014.210.CrossRefPubMedGoogle Scholar
  7. Burstyn, I., Sithole, F., & Zwaigenbaum, L. (2010). Autism spectrum disorders, maternal characteristics and obstetric complications among singletons born in Alberta, Canada. Chronic Disease in Canada, 30(4), 125–134.Google Scholar
  8. Carayol, J., Schellenberg, G. D., Dombroski, B., Genin, E., Rousseau, F., & Dawson, G. (2011). Autism risk assessment in siblings of affected children using sex-specific genetic scores. Molecular Autism.  https://doi.org/10.1186/2040-2392-2-17.CrossRefPubMedPubMedCentralGoogle Scholar
  9. Centers for Disease Control and Prevention (CDC); Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal Investigators. (2014). Prevalence of autism spectrum disorder among children aged 8 years—Autism and developmental disabilities monitoring network, 11 sites, United States, 2010. MMWR Surveillance Summaries, 63(2), 1–21.Google Scholar
  10. Council on Children with Disabilities; Section on Developmental Behavioral Pediatrics; Bright Futures Steering Committee; Medical Home Initiatives for Children with Special Needs Project Advisory Committee. (2006). Identifying infants and young children with developmental disorders in the medical home: An algorithm for developmental surveillance and screening. Pediatrics.  https://doi.org/10.1542/peds.2006-1231.CrossRefGoogle Scholar
  11. Curran, E. A., Dalman, C., Kearney, P. M., et al. (2015). Association between obstetric mode of delivery and autism spectrum disorder: A population-based sibling design study. JAMA Psychiatry.  https://doi.org/10.1001/jamapsychiatry.2015.0846.CrossRefPubMedPubMedCentralGoogle Scholar
  12. De Giacomo, A., & Fombonne, E. (1998). Parental recognition of developmental abnormalities in autism. European Child and Adolescent Psychiatry, 7(3), 131–136.CrossRefGoogle Scholar
  13. Dean, M., Harwood, R., & Kasari, C. (2017). The art of camouflage: Gender differences in the social behaviors of girls and boys with autism spectrum disorder. Autism, 5, 4.  https://doi.org/10.1177/1362361316671845.CrossRefGoogle Scholar
  14. DiGuiseppi, C. G., Daniels, J. L., Fallin, D. M., Rosenberg, S. A., Schieve, L. A., Thomas, K. C., et al. (2016). Demographic profile of families and children in the study to explore early development (SEED): Case-control study of autism spectrum disorder. Disability and Health Journal.  https://doi.org/10.1016/j.dhjo.2016.01.005.CrossRefPubMedPubMedCentralGoogle Scholar
  15. D’Mello, A. M., Moore, D. M., Crocetti, D., Mostofsky, S. H., & Stoodley, C. J. (2016). Cerebellar gray matter differentiates children with early language delay in autism. Autism Research.  https://doi.org/10.1002/aur.1622.CrossRefPubMedGoogle Scholar
  16. Esler, A. N., & Hall-Lande, A. (2017). Phenotypic characteristics of autism spectrum disorder in a diverse sample of somali and other children. Journal of Autism and Developmental Disorders.  https://doi.org/10.1007/s10803-017-3232-z.CrossRefPubMedGoogle Scholar
  17. Evans, S. C., Boan, A. D., Bradley, C., & Carpenter, L. A. (2018). Sex/gender differences in screening for autism spectrum disorder: Implications for evidence-based assessment. Journal of Clinical Child & Adolescent Psychology.  https://doi.org/10.1080/15374416.2018.1437734.CrossRefGoogle Scholar
  18. Ferri, S. L., Abel, T., & Brodkin, E. S. (2018). Sex differences in autism spectrum disorder: A review. Current Psychiatry Reports, 20(2), 9.  https://doi.org/10.1007/s11920-018-0874-2.CrossRefPubMedPubMedCentralGoogle Scholar
  19. Fitzpatrick, P., Frazier, J. A., Cochran, D., Mitchell, T., Coleman, C., & Schmidt, R. C. (2018). Relationship between theory of mind, emotion recognition, and social synchrony in adolescents with and without autism. Frontiers in Psychology.  https://doi.org/10.3389/fpsyg.2018.01337.CrossRefPubMedPubMedCentralGoogle Scholar
  20. Fombonne, E., Marcin, C., Manero, A. C., Bruno, R., Diaz, C., Villalobos, M., et al. (2016). Prevalence of autism spectrum disorders in Guanajuato, Mexico: The Leon survey. Journal of Autism and Developmental Disorders.  https://doi.org/10.1007/s10803-016-2696-6.CrossRefPubMedGoogle Scholar
  21. Ganz, M. L. (2007). The lifetime distribution of the incremental societal costs of autism. Archives of Pediatrics and Adolescent Medicine, 161(4), 343–349.CrossRefGoogle Scholar
  22. Gardener, H., Spiegelman, D., & Buka, S. L. (2009). Prenatal risk factors for autism: Comprehensive meta-analysis. British Journal of Psychiatry.  https://doi.org/10.1192/bjp.bp.108.051672.CrossRefPubMedGoogle Scholar
  23. Gardener, H., Spiegelman, D., & Buka, S. L. (2011). Perinatal and neonatal risk factors for autism: A comprehensive meta-analysis. Pediatrics.  https://doi.org/10.1542/peds.2010-1036.CrossRefPubMedPubMedCentralGoogle Scholar
  24. Glasson, E. J., Bower, C., Petterson, B., et al. (2004). Perinatal factors and the development of autism. Archives of General Psychiatry.  https://doi.org/10.1001/archpsyc.61.6.618 CrossRefGoogle Scholar
  25. Goin-Kochel, R. P., Esler, A. N., Kanne, S. M., & Hus, V. (2014). Developmental regression among children with autism spectrum disorder: Onset, duration, and effects on functional outcomes. Research in Autism Spectrum Disorders.  https://doi.org/10.1016/j.rasd.2014.04.002.CrossRefGoogle Scholar
  26. Hansen, R. L., Ozonoff, S., Krakowiak, P., Angkustsiri, K., Jones, C., Deprey, L. J., et al. (2008). Regression in autism: Prevalence and associated factors in the CHARGE Study. Ambulatory Pediatrics.  https://doi.org/10.1016/j.ambp.2007.08.006.CrossRefPubMedGoogle Scholar
  27. Harris, S., & Handleman, J. S. (1994). Preschool education programs for children with autism (2nd ed.). Austin: Pro-Ed.Google Scholar
  28. Harrop, C., Jones, D., Zheng, S., Nowell, S., Boyd, B. A., & Sasson, N. (2018). Circumscribed interests and attention in autism: The role of biological sex. Journal of Autism and Developmental Disorders.  https://doi.org/10.1007/s10803-018-3612-z.CrossRefPubMedPubMedCentralGoogle Scholar
  29. Hartley, S. L., & Sikora, D. M. (2009). Sex differences in autism spectrum disorder: an examination of developmental functioning, autistic symptoms, and coexisting behavior problems in toddlers. Journal of Autism and Developmental Disorders.  https://doi.org/10.1007/s10803-009-0810-8.CrossRefPubMedPubMedCentralGoogle Scholar
  30. Instituto Nacional de Estadística y Geografía (INEGI). (2015). Dirección General de Estadísticas Económicas. Estadísticas de Salud.Google Scholar
  31. Johnson, C. P., & Myers, S. M. (2007). Identification and evaluation of children with autism spectrum disorders. Pediatrics, 120(5), 1183–1215.CrossRefGoogle Scholar
  32. Jónsdóttir, S. L., Saemundsen, E., Antonsdóttir, I. S., Sigurdardóttir, S., & Ólason, D. (2011). Children diagnosed with autism spectrum disorder before or after the age of 6 years. Research in Autism Spectrum Disorders.  https://doi.org/10.1016/j.rasd.2010.03.007.CrossRefGoogle Scholar
  33. Kancherla, V., & Dennis, L. K. (2006). A meta-analysis of prenatal, perinatal, and neonatal risks for autism. American Journal of Epidemiology.  https://doi.org/10.1093/aje/163.suppl_11.s20-d.CrossRefGoogle Scholar
  34. Kern, J. K., Trivedi, M. H., Grannemann, B. D., Garver, C. R., Johnson, D. G., Andrews, A. A., et al. (2007). Sensory correlations in autism. Autism, 11(2), 123–134.CrossRefGoogle Scholar
  35. Koehler, L., Fournel, A., Albertowski, K., Roessner, V., Gerber, J., Hummel, C., et al. (2018). Impaired odor perception in autism spectrum disorder is associated with decreased activity in olfactory cortex. Chemical Senses.  https://doi.org/10.1093/chemse/bjy051.CrossRefPubMedGoogle Scholar
  36. Kolevzon, A., Gross, R., & Reichenberg, A. (2007). Prenatal and perinatal risk factors for autism: A review and integration of findings. Archives of Pediatrics and Adolescent Medicine.  https://doi.org/10.1001/archpedi.161.4.326.CrossRefPubMedGoogle Scholar
  37. Kurasawa, S., Tateyama, K., Iwanaga, R., Ohtoshi, T., Nakatani, K., & Yokoi, K. (2018). The age at diagnosis of autism spectrum disorder in children in Japan. International Journal of Pediatrics.  https://doi.org/10.1155/2018/5374725.CrossRefPubMedPubMedCentralGoogle Scholar
  38. Lai, M. C., Lombardo, M. V., Ecker, C., Chakrabarti, B., Suckling, J., Bullmore, E. T., et al. (2014). Neuroanatomy of individual differences in language in adult males with autism. Cerebral Cortex.  https://doi.org/10.1093/cercor/bhu211.CrossRefPubMedGoogle Scholar
  39. Langridge, A. T., Glasson, E. J., Nassar, N., et al. (2013). Maternal conditions and perinatal characteristics associated with autism spectrum disorder and intellectual disability. PLoS ONE.  https://doi.org/10.1371/journal.pone.0050963.CrossRefPubMedPubMedCentralGoogle Scholar
  40. Loomes, R., Hull, L., & Mandy, W. P. L. (2017). What is the male-tofemale ratio in autism spectrum disorder? A systematic review and meta-analysis. Journal of the American Academy of Child and Adolescent Psychiatry.  https://doi.org/10.1016/j.jaac.2017.03.013.CrossRefPubMedGoogle Scholar
  41. Lord, C., Risi, S., DiLavore, P. S., Shulman, C., Thurm, A., & Pickles, A. (2006). Autism from 2 to 9 years of age. Archives of General Psychiatry, 63(6), 694–701.CrossRefGoogle Scholar
  42. Lord, C., Shulman, C., & DiLavore, P. (2004). Regression and word loss in autistic spectrum disorders. Journal of Child Psychology and Psychiatry, 45(5), 936–955.CrossRefGoogle Scholar
  43. Loth, E., Garrido, L., Ahmad, J., Watson, E., Duff, A., & Duchaine, B. (2018). Facial expression recognition as a candidate marker for autism spectrum disorder: How frequent and severe are deficits? Molecular Autism.  https://doi.org/10.1186/s13229-018-0187-7.CrossRefPubMedPubMedCentralGoogle Scholar
  44. MacKay, D. F., Smith, G. C. S., Dobbie, R., Cooper, S. A., & Pell, J. P. (2013). Obstetric factors and different causes of special educational need: Retrospective cohort study of 407,503 school children. BJOG.  https://doi.org/10.1111/1471-0528.12071.CrossRefPubMedGoogle Scholar
  45. Masi, A., DeMayo, M. M., Glozier, N., & Guastella, A. J. (2017). An overview of autism spectrum disorder, heterogeneity and treatment options. Neuroscience Bulletin.  https://doi.org/10.1007/s12264-017-0100-y.CrossRefPubMedPubMedCentralGoogle Scholar
  46. Mayes, S., & Calhoun, S. (2004). Influence of IQ and age in childhood autism: Lack of support for DSM-IV Asperger’s disorder. Journal of Developmental and Physical Disabilities, 16(3), 257–272.CrossRefGoogle Scholar
  47. Mayes, S., & Calhoun, S. (2011). Impact of IQ, age, SES, gender and race on autistic symtomps. Research in Autism Spectrum Disorder.  https://doi.org/10.1016/j.rasd.2010.09.002.CrossRefGoogle Scholar
  48. McCracken, J. T., McGough, J., Shah, B., Cronin, P., Hong, D., Aman, M. G., et al. (2002). Risperidone in children with autism and serious behavioral problems. New England Journal of Medicine.  https://doi.org/10.1056/NEJMoa013171.CrossRefPubMedGoogle Scholar
  49. Miodovnik, A., Harstad, E., Sideridis, G., & Huntington, N. (2015). Timing of the diagnosis of attention-deficit/hyperactivity disorder and autism spectrum disorder. Pediatrics.  https://doi.org/10.1542/peds.2015-1502.CrossRefPubMedGoogle Scholar
  50. Modabbernia, A., Velthorst, E., & Reichenberg, A. (2017). Environmental risk factors for autism: An evidence-based review of systematic reviews and meta-analyses. Molecular Autism.  https://doi.org/10.1186/s13229-017-0121-4.CrossRefPubMedPubMedCentralGoogle Scholar
  51. Molnar-Szakacs, I., & Heaton, P. (2012). Music: A unique window into the world of autism. Annals of the New York Academy of Sciences.  https://doi.org/10.1111/j.1749-6632.2012.06465.x.CrossRefPubMedGoogle Scholar
  52. National Institute of Health (NIH). (2007). NIH Funds New Program to Investigate Causes and Treatment of Autism. Retrieved from https://www.nimh.nih.gov/health/topics/autism-spectrum-disorders-asd/index.shtml#part_145441. Accessed 3 Sep 2018.
  53. National Research Council. (2001). Educating children with autism. In C. Lord & J. P. McGee (Eds.), Committee on educational interventions for children with autism. Washington, DC: National Academy Press.Google Scholar
  54. Nieto, C., López, B., & Gandía, H. (2017). Relationships between atypical sensory processing patterns, maladaptive behavior and maternal stress in Spanish Children with autism spectrum disorder. Journal of Intellectual Disability Research.  https://doi.org/10.1111/jir.12435.CrossRefPubMedGoogle Scholar
  55. Peled-Avron, L., & Shamay-Tsoory, S. G. (2017). Don’t touch me! autistic traits modulate early and late ERP components during visual perception of social touch. Autism Research.  https://doi.org/10.1002/aur.1762.CrossRefPubMedGoogle Scholar
  56. Perry, A., Rubinsten, O., Peled, L., & Shamay-Tsoory, S. G. (2013). Don’t stand so close to me: A behavioral and ERP study of preferred interpersonal distance. Neuroimage.  https://doi.org/10.1016/j.neuroimage.2013.07.042.CrossRefPubMedGoogle Scholar
  57. 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. Journal of Pediatrics.  https://doi.org/10.1016/j.jpeds.2013.09.044.CrossRefPubMedGoogle Scholar
  58. Pringle, B., Colpe, L. J., Blumberg, S. J., Avila, R. M., & Kogan, M. D. (2012). Diagnostic history and treatment of school-aged children with autism spectrum disorder and special health care needs. NCHS Data Brief, 97, 1–8.Google Scholar
  59. Randall, M., Egberts, K. J., Samtani, A., Scholten, R. J., Hooft, L., Livingstone, N., et al. (2018). Diagnostic tests for autism spectrum disorder (ASD) in preschool children. Cochrane Database Systematic Review, 7, CD009044.  https://doi.org/10.1002/14651858.cd009044.pub2.CrossRefGoogle Scholar
  60. Rice, C. E., Baio, J., Naarden, Van, Braun, K., Doernberg, N., Meaney, F. J., et al. (2007). A public health collaboration for the surveillance of autism spectrum disorders. Paediatric and Perinatal Epidemiology.  https://doi.org/10.1111/j.1365-3016.2007.00801.x.CrossRefPubMedGoogle Scholar
  61. Rogers, S. J., & Ozonoff, S. (2005). Annotation: What do we know about sensory dysfunction in autism? A critical review of the empirical evidence. Journal of Child Psychology and Psychiatry.  https://doi.org/10.1111/j.1469-7610.2005.01431.x.CrossRefPubMedGoogle Scholar
  62. Rutter, M. (1970). Autistic children: Infancy to adulthood. Semin Psychiatry, 2(4), 435–450.PubMedGoogle Scholar
  63. Rutter, M. (2005). Incidence of autism spectrum disorders: Changes over time and their meaning. Acta Paediatrica, 94(1), 2–15.CrossRefGoogle Scholar
  64. Sandin, S., Schendel, D., Magnusson, P., Hultman, C., Surén, P., Susser, E., et al. (2016). Autism risk associated with parental age and with increasing difference in age between the parents. Molecular Psychiatry.  https://doi.org/10.1038/mp.2015.70.CrossRefPubMedGoogle Scholar
  65. Sato, D., Lionel, A. C., Leblond, C. S., Prasad, A., Pinto, D., Walker, S., et al. (2012). SHANK1 deletions in males with autism spectrum disorder. American Journal of Human Genetics.  https://doi.org/10.1016/j.ajhg.2012.03.017.CrossRefPubMedPubMedCentralGoogle Scholar
  66. Shah, A., Faundes, A., Machoki, M. I., Bataglia, V., Amokrane, F., Donner, A., et al. (2008). Methodological considerations in implementing the WHO global survey for monitoring maternal and perinatal health. Bulletin of the World Health Organization.  https://doi.org/10.2471/blt.06.039842.CrossRefPubMedPubMedCentralGoogle Scholar
  67. Siegel, B. (1998). The world of the autistic child: Understanding and treating autistic spectrum disorders. New York: Oxford University Press.Google Scholar
  68. Shattuck, P. T., Durkin, M., Maenner, M., Newschaffer, C., Mandell, D. S., Wiggins, L., et al. (2009). Timing of identification among children with an autism spectrum disorder: Findings from a population-based surveillance study. Journal of the American Academy of Child and Adolescent Psychiatry.  https://doi.org/10.1097/CHI.0b013e31819b3848 CrossRefPubMedPubMedCentralGoogle Scholar
  69. Steeb, H., Ramsey, J. M., Guest, P. C., Stocki, P., Cooper, J. D., Rahmoune, H., et al. (2014). Serum proteomic analysis identifies sex-specific differences in lipid metabolism and inflammation profiles in adults diagnosed with Asperger syndrome. Molecular Autism.  https://doi.org/10.1186/2040-2392-5-4.CrossRefPubMedPubMedCentralGoogle Scholar
  70. Sun, X., & Allison, C. (2010). A review of the prevalence of autism spectrum disorder in Asia. Research in Autism Spectrum Disorders.  https://doi.org/10.1016/j.rasd.2009.10.003.CrossRefGoogle Scholar
  71. Thye, M. D., Bednarz, H. M., Herringshaw, A. J., Sartin, E. B., & Kana, R. K. (2018). The impact of atypical sensory processing on social impairments in autism spectrum disorder. Developmental Cognitive Neuroscience.  https://doi.org/10.1016/j.dcn.2017.04.010.CrossRefPubMedGoogle Scholar
  72. Tropeano, M., Ahn, J. W., Dobson, R. J. B., Breen, G., Rucker, J., Dixit, A., et al. (2013). Male-biased autosomal effect of 16p13.11 copy number variation in neurodevelopmental disorders. Liu C, editor. PLoS ONE.  https://doi.org/10.1371/journal.pone.0061365.CrossRefPubMedPubMedCentralGoogle Scholar
  73. Tropeano, M., Howley, D., Gazzellone, M. J., Wilson, C. E., Ahn, J. W., Stavropoulos, D. J., et al. (2016). Microduplications at the pseudoautosomal SHOX locus in autism spectrum disorders and related. Journal of Medical Genetics.  https://doi.org/10.1136/jmedgenet-2015-103621.CrossRefPubMedGoogle Scholar
  74. Vázquez-Ramírez. (2017). La atención educativa de los alumnos con Trastorno del Espectro Autista. Instituto de Educación de Aguascalientes, México. Orientación andujar. Retrieved from https://www.educacionespecial.sep.gob.mx/pdf/doctos/2Academicos/13Libro_Autismo.pdf. Accessed 10 Oct 2018.
  75. Vieira, G. O., Fernández, L. G., Oliveira, N. F., de Silva, L. R., & Vieira, T. D. O. (2015). Factors associated with cesarean delivery in public and private hospitals in a city of northeastern Brazil: A cross-sectional study. BMC Pregnancy Childbirth, 15, 132.  https://doi.org/10.1186/s12884-015-0570-8.CrossRefPubMedPubMedCentralGoogle Scholar
  76. Vogel, J. P., Betran, A. P., Vindevoghel, N., et al. (2015). Use of the Robson classification to assess cesarean section trends in 21 countries: A secondary analysis of two WHO multicountry surveys. The Lancet Global Health.  https://doi.org/10.1016/s2214-109x(15)70094-x.CrossRefPubMedGoogle Scholar
  77. von Gontard, A., Pirrung, M., & Equit, M. (2015). Incontinence in children with autism spectrum disorder. Journal of Pediatric Urology.  https://doi.org/10.1016/j.jpurol.2015.04.015.CrossRefGoogle Scholar
  78. Werling, D. M., & Geschwind, D. H. (2013). Sex differences in autism spectrum disorders. Current Opinion in Neurology.  https://doi.org/10.1097/WCO.0b013e32835ee548.CrossRefPubMedPubMedCentralGoogle Scholar
  79. Wiggins, L. D., Rice, C. E., & Baio, J. (2009). Developmental regression in children with an autism spectrum disorder identified by a population-based surveillance system. Autism.  https://doi.org/10.1177/1362361309105662.CrossRefPubMedGoogle Scholar
  80. Yip, B. H. K., Leonard, H., Stock, S., Stoltenberg, C., Francis, R. W., Gissler, M., et al. (2017). Cesarean section and risk of autism across gestational age: A multi-national cohort study of 5 million births. International Journal of Epidemiology.  https://doi.org/10.1093/ije/dyw336.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Tania González-Cortés
    • 1
    Email author
  • Elizabeth Gutiérrez-Contreras
    • 1
  • Perla Karina Espino-Silva
    • 2
  • Jorge Haro-Santa Cruz
    • 2
  • Diana Álvarez-Cruz
    • 1
  • Claudia Cecilia Rosales-González
    • 1
  • Cristina Sida-Godoy
    • 2
  • Martha Patricia Nava-Hernández
    • 2
  • Francisco Carlos López-Márquez
    • 2
  • Pablo Ruiz-Flores
    • 1
    • 2
  1. 1.Centro de Investigación y Atención del Autismo, Sistema Nacional para el Desarrollo Integral de la Familia (DIF) del Estado de CoahuilaTorreónMexico
  2. 2.Facultad de Medicina Unidad Torreón, Centro de Investigación BiomédicaUniversidad Autónoma de CoahuilaTorreónMexico

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