PERINATAL COMPLICATIONS AS PREDICTORS OF INFANTILE AUTISM
This study investigated the relationship between reported perinatal complications and autism. The biological mothers of 183 autistic children and 209 normals completed the Maternal Perinatal Scale (MPS), a maternal self-report that surveys complications of pregnancies and medical conditions of the m...
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Veröffentlicht in: | International journal of neuroscience 2002-09, Vol.112 (9), p.1085-1098 |
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creator | WILKERSON, DIANA SUE VOLPE, ALESSANDRA G. DEAN, RAYMOND S. TITUS, JEFFREY B. |
description | This study investigated the relationship between reported perinatal complications and autism. The biological mothers of 183 autistic children and 209 normals completed the Maternal Perinatal Scale (MPS), a maternal self-report that surveys complications of pregnancies and medical conditions of the mother. Previous research in this area has been limited, with no definitive conclusions. A discriminant analysis was performed to consider perinatal complications as predictors between the autistic and normal subjects. Using the MPS, 65% of the autistic cases were correctly grouped. The results further indicated significant differences on 3 of the 10 factors of the MPS, in particular, Gestational Age, Maternal Morphology, and Intrauterine Stress. When considered in an item by item fashion, 5 items were found to significantly predict group membership (prescriptions taken during pregnancy, length of labor, viral infection, abnormal presentation at delivery, and low birth weight). Finally, 3 maternal medical conditions were found to be highly significant and contribute to the separation between groups, including urinary infection, high temperatures, and depression. |
doi_str_mv | 10.1080/00207450290026076 |
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The biological mothers of 183 autistic children and 209 normals completed the Maternal Perinatal Scale (MPS), a maternal self-report that surveys complications of pregnancies and medical conditions of the mother. Previous research in this area has been limited, with no definitive conclusions. A discriminant analysis was performed to consider perinatal complications as predictors between the autistic and normal subjects. Using the MPS, 65% of the autistic cases were correctly grouped. The results further indicated significant differences on 3 of the 10 factors of the MPS, in particular, Gestational Age, Maternal Morphology, and Intrauterine Stress. When considered in an item by item fashion, 5 items were found to significantly predict group membership (prescriptions taken during pregnancy, length of labor, viral infection, abnormal presentation at delivery, and low birth weight). Finally, 3 maternal medical conditions were found to be highly significant and contribute to the separation between groups, including urinary infection, high temperatures, and depression.</description><identifier>ISSN: 0020-7454</identifier><identifier>EISSN: 1563-5279</identifier><identifier>EISSN: 1543-5245</identifier><identifier>DOI: 10.1080/00207450290026076</identifier><identifier>PMID: 12487097</identifier><identifier>CODEN: IJNUB7</identifier><language>eng</language><publisher>London: Informa UK Ltd</publisher><subject>Adult ; Autism ; Autistic Disorder - epidemiology ; Autistic Disorder - etiology ; Biological and medical sciences ; Case-Control Studies ; Chi-Square Distribution ; Child ; Child clinical studies ; Developmental disorders ; Female ; Humans ; Infantile autism ; Intelligence Tests ; Male ; Medical sciences ; Multivariate Analysis ; Neuropsychological Tests ; Perinatal Complications ; Perinatal Predictors ; Perinatology ; Predictive Value of Tests ; Pregnancy ; Pregnancy Complications ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Retrospective Studies ; Risk Factors</subject><ispartof>International journal of neuroscience, 2002-09, Vol.112 (9), p.1085-1098</ispartof><rights>2002 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted 2002</rights><rights>2002 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c432t-dc4f3a5bde53a7ec85f8a98c2406b1225f54aa7fb61c410cdd15f349d8473e303</citedby><cites>FETCH-LOGICAL-c432t-dc4f3a5bde53a7ec85f8a98c2406b1225f54aa7fb61c410cdd15f349d8473e303</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.tandfonline.com/doi/pdf/10.1080/00207450290026076$$EPDF$$P50$$Ginformaworld$$H</linktopdf><linktohtml>$$Uhttps://www.tandfonline.com/doi/full/10.1080/00207450290026076$$EHTML$$P50$$Ginformaworld$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,59620,59726,60409,60515,61194,61229,61375,61410</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13943739$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/12487097$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>WILKERSON, DIANA SUE</creatorcontrib><creatorcontrib>VOLPE, ALESSANDRA G.</creatorcontrib><creatorcontrib>DEAN, RAYMOND S.</creatorcontrib><creatorcontrib>TITUS, JEFFREY B.</creatorcontrib><title>PERINATAL COMPLICATIONS AS PREDICTORS OF INFANTILE AUTISM</title><title>International journal of neuroscience</title><addtitle>Int J Neurosci</addtitle><description>This study investigated the relationship between reported perinatal complications and autism. The biological mothers of 183 autistic children and 209 normals completed the Maternal Perinatal Scale (MPS), a maternal self-report that surveys complications of pregnancies and medical conditions of the mother. Previous research in this area has been limited, with no definitive conclusions. A discriminant analysis was performed to consider perinatal complications as predictors between the autistic and normal subjects. Using the MPS, 65% of the autistic cases were correctly grouped. The results further indicated significant differences on 3 of the 10 factors of the MPS, in particular, Gestational Age, Maternal Morphology, and Intrauterine Stress. When considered in an item by item fashion, 5 items were found to significantly predict group membership (prescriptions taken during pregnancy, length of labor, viral infection, abnormal presentation at delivery, and low birth weight). Finally, 3 maternal medical conditions were found to be highly significant and contribute to the separation between groups, including urinary infection, high temperatures, and depression.</description><subject>Adult</subject><subject>Autism</subject><subject>Autistic Disorder - epidemiology</subject><subject>Autistic Disorder - etiology</subject><subject>Biological and medical sciences</subject><subject>Case-Control Studies</subject><subject>Chi-Square Distribution</subject><subject>Child</subject><subject>Child clinical studies</subject><subject>Developmental disorders</subject><subject>Female</subject><subject>Humans</subject><subject>Infantile autism</subject><subject>Intelligence Tests</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Multivariate Analysis</subject><subject>Neuropsychological Tests</subject><subject>Perinatal Complications</subject><subject>Perinatal Predictors</subject><subject>Perinatology</subject><subject>Predictive Value of Tests</subject><subject>Pregnancy</subject><subject>Pregnancy Complications</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><issn>0020-7454</issn><issn>1563-5279</issn><issn>1543-5245</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kE9Lw0AQxRdRtGg_gBfJRW_R_ZvdRS-hthpIm9LGc9hsdjGSNrrbIn57V1oRETzNDPN7j5kHwDmC1wgKeAMhhpwyiGXoEsiTAzBALCExw1wegsHXPg4APQFD79s6zERKLMQxOEGYCg4lHwA5Hy-yWVqmeTQqpvM8G6VlVsyWUbqM5ovxfTYqi8UyKiZRNpukszLLx1H6VGbL6Rk4sqrzZrivp-BpMi5Hj3FePASXPNaU4E3caGqJYnVjGFHcaMGsUFJoTGFSI4yZZVQpbusEaYqgbhrELKGyEZQTQyA5BVc731fXv22N31Sr1mvTdWpt-q2vOOZcUMQCiHagdr33ztjq1bUr5T4qBKuvyKo_kQXNxd58W69M86PYBxSAyz2gvFaddWqtW__DEUkJJzJwdzuuXdverdR777qm2qiPrnffIvLfHbe_5M9GdZtnrZypXvqtW4eA__niE_P6keE</recordid><startdate>20020901</startdate><enddate>20020901</enddate><creator>WILKERSON, DIANA SUE</creator><creator>VOLPE, ALESSANDRA G.</creator><creator>DEAN, RAYMOND S.</creator><creator>TITUS, JEFFREY B.</creator><general>Informa UK Ltd</general><general>Taylor & Francis</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20020901</creationdate><title>PERINATAL COMPLICATIONS AS PREDICTORS OF INFANTILE AUTISM</title><author>WILKERSON, DIANA SUE ; VOLPE, ALESSANDRA G. ; DEAN, RAYMOND S. ; TITUS, JEFFREY B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c432t-dc4f3a5bde53a7ec85f8a98c2406b1225f54aa7fb61c410cdd15f349d8473e303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Adult</topic><topic>Autism</topic><topic>Autistic Disorder - epidemiology</topic><topic>Autistic Disorder - etiology</topic><topic>Biological and medical sciences</topic><topic>Case-Control Studies</topic><topic>Chi-Square Distribution</topic><topic>Child</topic><topic>Child clinical studies</topic><topic>Developmental disorders</topic><topic>Female</topic><topic>Humans</topic><topic>Infantile autism</topic><topic>Intelligence Tests</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Multivariate Analysis</topic><topic>Neuropsychological Tests</topic><topic>Perinatal Complications</topic><topic>Perinatal Predictors</topic><topic>Perinatology</topic><topic>Predictive Value of Tests</topic><topic>Pregnancy</topic><topic>Pregnancy Complications</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>WILKERSON, DIANA SUE</creatorcontrib><creatorcontrib>VOLPE, ALESSANDRA G.</creatorcontrib><creatorcontrib>DEAN, RAYMOND S.</creatorcontrib><creatorcontrib>TITUS, JEFFREY B.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>WILKERSON, DIANA SUE</au><au>VOLPE, ALESSANDRA G.</au><au>DEAN, RAYMOND S.</au><au>TITUS, JEFFREY B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>PERINATAL COMPLICATIONS AS PREDICTORS OF INFANTILE AUTISM</atitle><jtitle>International journal of neuroscience</jtitle><addtitle>Int J Neurosci</addtitle><date>2002-09-01</date><risdate>2002</risdate><volume>112</volume><issue>9</issue><spage>1085</spage><epage>1098</epage><pages>1085-1098</pages><issn>0020-7454</issn><eissn>1563-5279</eissn><eissn>1543-5245</eissn><coden>IJNUB7</coden><abstract>This study investigated the relationship between reported perinatal complications and autism. The biological mothers of 183 autistic children and 209 normals completed the Maternal Perinatal Scale (MPS), a maternal self-report that surveys complications of pregnancies and medical conditions of the mother. Previous research in this area has been limited, with no definitive conclusions. A discriminant analysis was performed to consider perinatal complications as predictors between the autistic and normal subjects. Using the MPS, 65% of the autistic cases were correctly grouped. The results further indicated significant differences on 3 of the 10 factors of the MPS, in particular, Gestational Age, Maternal Morphology, and Intrauterine Stress. When considered in an item by item fashion, 5 items were found to significantly predict group membership (prescriptions taken during pregnancy, length of labor, viral infection, abnormal presentation at delivery, and low birth weight). Finally, 3 maternal medical conditions were found to be highly significant and contribute to the separation between groups, including urinary infection, high temperatures, and depression.</abstract><cop>London</cop><pub>Informa UK Ltd</pub><pmid>12487097</pmid><doi>10.1080/00207450290026076</doi><tpages>14</tpages></addata></record> |
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subjects | Adult Autism Autistic Disorder - epidemiology Autistic Disorder - etiology Biological and medical sciences Case-Control Studies Chi-Square Distribution Child Child clinical studies Developmental disorders Female Humans Infantile autism Intelligence Tests Male Medical sciences Multivariate Analysis Neuropsychological Tests Perinatal Complications Perinatal Predictors Perinatology Predictive Value of Tests Pregnancy Pregnancy Complications Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Retrospective Studies Risk Factors |
title | PERINATAL COMPLICATIONS AS PREDICTORS OF INFANTILE AUTISM |
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