Perinatal and Obstetric Predictors for Autism Spectrum Disorder
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...
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| Published in | Journal of autism and developmental disorders Vol. 51; no. 11; pp. 3908 - 3916 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
Springer US
01.11.2021
Springer Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0162-3257 1573-3432 1573-3432 |
| DOI | 10.1007/s10803-020-04846-0 |
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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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| AbstractList | 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. 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.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. |
| Audience | Academic |
| Author | Tellez de Meneses, Montserrat Marí-Bauset, Salvador Perales-Marín, Alfredo Llopis-González, Agustín Peraita-Costa, Isabel Cervera-Boada, Pablo Morales-Suárez-Varela, María |
| Author_xml | – sequence: 1 givenname: Alfredo surname: Perales-Marín fullname: Perales-Marín, Alfredo organization: Department of Obstetrics, La Fe University Polytechnic Hospital, Department of Pediatrics, Obstetrics and Gynecology, School of Medicine and Odontology, University of Valencia – sequence: 2 givenname: Isabel surname: Peraita-Costa fullname: Peraita-Costa, Isabel organization: Unit of Public Health, Hygiene and Environmental Health, Department of Preventive Medicine and Public Health, Food Science, Toxicology and Legal Medicine, School of Pharmacy, University of Valencia, CIBER of Epidemiology and Public Health (CIBERESP) – sequence: 3 givenname: Pablo surname: Cervera-Boada fullname: Cervera-Boada, Pablo organization: Department of Psychiatry, Dr, Peset University Hospital – sequence: 4 givenname: Montserrat surname: Tellez de Meneses fullname: Tellez de Meneses, Montserrat organization: Department of Neuropediatrics, La Fe University Polytechnic Hospital – sequence: 5 givenname: Agustín surname: Llopis-González fullname: Llopis-González, Agustín organization: Unit of Public Health, Hygiene and Environmental Health, Department of Preventive Medicine and Public Health, Food Science, Toxicology and Legal Medicine, School of Pharmacy, University of Valencia, CIBER of Epidemiology and Public Health (CIBERESP) – sequence: 6 givenname: Salvador surname: Marí-Bauset fullname: Marí-Bauset, Salvador organization: Unit of Public Health, Hygiene and Environmental Health, Department of Preventive Medicine and Public Health, Food Science, Toxicology and Legal Medicine, School of Pharmacy, University of Valencia – sequence: 7 givenname: María orcidid: 0000-0003-0785-1492 surname: Morales-Suárez-Varela fullname: Morales-Suárez-Varela, María email: maria.m.morales@uv.es organization: Unit of Public Health, Hygiene and Environmental Health, Department of Preventive Medicine and Public Health, Food Science, Toxicology and Legal Medicine, School of Pharmacy, University of Valencia, CIBER of Epidemiology and Public Health (CIBERESP) |
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| Cites_doi | 10.1016/j.jpeds.2013.09.044 10.1001/archgenpsychiatry.2011.76 10.1542/peds.2008-0927 10.1016/S0891-4222(00)00062-7 10.1016/j.jpsychires.2014.03.019 10.1111/j.1365-3016.2007.00786.x 10.1016/j.mehy.2014.03.011 10.1007/s10803-010-0992-0 10.1007/s10803-010-1114-8 10.1212/WNL.55.4.468 10.1007/978-3-319-19425-7 10.1007/BF02172020 10.1176/appi.books.9780890425596 10.1016/S0140-6736(18)31928-7 10.1002/aur.239 10.1016/j.rasd.2011.01.009 10.1186/s12978-015-0043-6 10.1093/ije/dyr193 10.1111/birt.12104 10.1016/j.psychres.2014.05.057 10.1111/ppe.12094 10.1002/aur.1715 10.1001/jamapediatrics.2014.1893 10.1016/j.annepidem.2013.12.014 10.1016/j.annepidem.2011.12.006 10.1016/j.annepidem.2011.08.009 10.1023/A:1008929526011 10.1016/j.jpedp.2016.08.011 10.1001/jamapsychiatry.2015.0846 10.1111/jcpp.12351 10.1007/s40474-014-0033-3 10.1001/jamapsychiatry.2013.3893 10.1007/BF00566668 10.1201/9781420011180 10.1093/ije/dyp261 10.1001/jamapediatrics.2013.2904 10.1016/j.jaac.2012.02.018 10.1289/ehp.1205827 10.1007/s10803-015-2616-1 10.1111/j.1600-0412.2011.01325.x |
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| Copyright | The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021 COPYRIGHT 2021 Springer The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature 2021. 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature. |
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| Keywords | Perinatal Autism spectrum disorder Risk factors Cesarean section Prediction |
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| PublicationTitle | Journal of autism and developmental disorders |
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Development and application of a mathematical assessment modelAnnals of Epidemiology2011211293094522000328435177010.1016/j.annepidem.2011.08.009 Froehlich-SantinoWTobonALClevelandSTorresAPhillipsJCohenBCollinsJPrenatal and perinatal risk factors in a twin study of autism spectrum disordersJournal of Psychiatric Research20145410010824726638407252710.1016/j.jpsychires.2014.03.019 CurranEADalmanCKearneyPMKennyLCCryanJFDinanTGKhashanASAssociation between obstetric mode of delivery and autism spectrum disorder: A population-based sibling design studyJAMA Psychiatry20157299359422610792210.1001/jamapsychiatry.2015.084626107922 SandinSHultmanCMKolevzonAGrossRMacCabeJHReichenbergAAdvancing maternal age is associated with increasing risk for autism: A review and meta-analysisJournal of the American Academy of Child & Adolescent Psychiatry201251547748610.1016/j.jaac.2012.02.018 Polo-KantolaPLampiKMHinkka-Yli-SalomäkiSGisslerMBrownASSouranderAObstetric risk factors and autism spectrum disorders in FinlandThe Journal of Pediatrics201416423583652418320910.1016/j.jpeds.2013.09.04424183209 HarrellFRegression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis2015New YorkSpringer10.1007/978-3-319-19425-7 DoddsLFellDBSheaSArmsonBAAllenACBrysonSThe role of prenatal, obstetric and neonatal factors in the development of autismJournal of Autism and Developmental Disorders20114178919022092247310.1007/s10803-010-1114-820922473 HansenSNSchendelDEParnerETExplaining the increase in the prevalence of autism spectrum disorders: The proportion attributable to changes in reporting practicesJAMA Pediatrics2015169156622536503310.1001/jamapediatrics.2014.189325365033 World Health OrganizationAppropriate technology for birthLancet19852436437 BilderDPinborough-ZimmermanJMillerJMcMahonWPrenatal, perinatal, and neonatal factors associated with autism spectrum disordersPediatrics2009123129313001940349410.1542/peds.2008-092719403494 World Health Organization. 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| SubjectTerms | Analysis Autism Autism Spectrum Disorders Behavioral Science and Psychology Birth Case Studies Cesarean section Child and School Psychology Children Classroom Desegregation Clinical Diagnosis Departments Diagnosis Early Intervention Environmental Influences Gender Hospitals Identification Males Medical diagnosis Men Mental Disorders Neurosciences Obstetrics Original Paper Parent Participation Pediatrics Perinatal factors Perinatal Influences Pervasive Developmental Disorders Population studies Predictor Variables Prenatal diagnosis Psychology Public Health Risk factors Symptoms (Individual Disorders) World Problems |
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| Title | Perinatal and Obstetric Predictors for Autism Spectrum Disorder |
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