Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents
Abstract Many studies have shown inverse associations between childhood adversity and intelligence, although most are based on small clinical samples and fail to account for the effects of multiple co-occurring adversities. Using data from the 2001–2004 National Comorbidity Survey Adolescent Supplem...
Gespeichert in:
Veröffentlicht in: | American journal of epidemiology 2018-07, Vol.187 (7), p.1456-1466 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1466 |
---|---|
container_issue | 7 |
container_start_page | 1456 |
container_title | American journal of epidemiology |
container_volume | 187 |
creator | Platt, Jonathan M McLaughlin, Katie A Luedtke, Alex R Ahern, Jennifer Kaufman, Alan S Keyes, Katherine M |
description | Abstract
Many studies have shown inverse associations between childhood adversity and intelligence, although most are based on small clinical samples and fail to account for the effects of multiple co-occurring adversities. Using data from the 2001–2004 National Comorbidity Survey Adolescent Supplement, a cross-sectional US population study of adolescents aged 13–18 years (n = 10,073), we examined the associations between 11 childhood adversities and intelligence, using targeted maximum likelihood estimation. Targeted maximum likelihood estimation incorporates machine learning to identify the relationships between exposures and outcomes without overfitting, including interactions and nonlinearity. The nonverbal score from the Kaufman Brief Intelligence Test was used as a standardized measure of fluid reasoning. Childhood adversities were grouped into deprivation and threat types based on recent conceptual models. Adjusted marginal mean differences compared the mean intelligence score if all adolescents experienced each adversity to the mean in the absence of the adversity. The largest associations were observed for deprivation-type experiences, including poverty and low parental education, which were related to reduced intelligence. Although lower in magnitude, threat events related to intelligence included physical abuse and witnessing domestic violence. Violence prevention and poverty-reduction measures would likely improve childhood cognitive outcomes. |
doi_str_mv | 10.1093/aje/kwy006 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6031033</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/aje/kwy006</oup_id><sourcerecordid>2067134825</sourcerecordid><originalsourceid>FETCH-LOGICAL-c502t-cc0d30fda640c8da5b8d886b684c76fb9e104d91b0c1c44ef9be48a13dc2c37c3</originalsourceid><addsrcrecordid>eNp9kdFqFDEUhoModq3e-AASEEGEsSfJTHbmRliXVgsFxbbXIZOc2cmaTaaTmZa99sWddWpRL7wKh3x85_z8hLxk8J5BJU70Fk--3-0B5COyYPlSZpIX8jFZAADPKi75EXmW0haAsaqAp-SIV1XJxTJfkB9Xut_ggJaepsHt9OBioLGhQ4v0G_pfc2pdRz_icIcY6Lp13rYxWrqyt9gnN-ypDpae-dFZeh4G9N5tMBikLlBNry_p19iNs4le6l3n8bBgZaPHZDAM6Tl50mif8MX9e0yuz06v1p-ziy-fzteri8wUwIfMGLACGqtlDqa0uqhLW5aylmVulrKpK2SQ24rVYJjJc2yqGvNSM2ENN2JpxDH5MHu7sd6hPezutVddP-Xu9ypqp_7-Ca5Vm3irJAgGQkyCt_eCPt6MmAa1c1ME73XAOCbFQS6ZyEteTOjrf9BtHPswxVNcgOS5KOSBejdTpo8p9dg8HMNAHbpVU7dq7naCX_15_gP6u8wJeDMDcez-J_oJDqewAg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2306243565</pqid></control><display><type>article</type><title>Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Oxford University Press Journals All Titles (1996-Current)</source><source>Alma/SFX Local Collection</source><creator>Platt, Jonathan M ; McLaughlin, Katie A ; Luedtke, Alex R ; Ahern, Jennifer ; Kaufman, Alan S ; Keyes, Katherine M</creator><creatorcontrib>Platt, Jonathan M ; McLaughlin, Katie A ; Luedtke, Alex R ; Ahern, Jennifer ; Kaufman, Alan S ; Keyes, Katherine M</creatorcontrib><description>Abstract
Many studies have shown inverse associations between childhood adversity and intelligence, although most are based on small clinical samples and fail to account for the effects of multiple co-occurring adversities. Using data from the 2001–2004 National Comorbidity Survey Adolescent Supplement, a cross-sectional US population study of adolescents aged 13–18 years (n = 10,073), we examined the associations between 11 childhood adversities and intelligence, using targeted maximum likelihood estimation. Targeted maximum likelihood estimation incorporates machine learning to identify the relationships between exposures and outcomes without overfitting, including interactions and nonlinearity. The nonverbal score from the Kaufman Brief Intelligence Test was used as a standardized measure of fluid reasoning. Childhood adversities were grouped into deprivation and threat types based on recent conceptual models. Adjusted marginal mean differences compared the mean intelligence score if all adolescents experienced each adversity to the mean in the absence of the adversity. The largest associations were observed for deprivation-type experiences, including poverty and low parental education, which were related to reduced intelligence. Although lower in magnitude, threat events related to intelligence included physical abuse and witnessing domestic violence. Violence prevention and poverty-reduction measures would likely improve childhood cognitive outcomes.</description><identifier>ISSN: 0002-9262</identifier><identifier>EISSN: 1476-6256</identifier><identifier>DOI: 10.1093/aje/kwy006</identifier><identifier>PMID: 29982374</identifier><language>eng</language><publisher>United States: Oxford University Press</publisher><subject>Abuse ; Adolescent ; Adolescents ; Adverse childhood experiences ; Adverse Childhood Experiences - statistics & numerical data ; Aggression ; Child Abuse - psychology ; Children ; Cognitive ability ; Cross-Sectional Studies ; Deprivation ; Domestic violence ; Female ; Humans ; Intelligence ; Intelligence tests ; Learning algorithms ; Likelihood Functions ; Machine learning ; Male ; Maximum likelihood estimation ; Mental Disorders - epidemiology ; Mental Disorders - psychology ; Nonlinear systems ; Original Contributions ; Population studies ; Poverty ; Risk Factors ; Teenagers ; United States - epidemiology ; Violence</subject><ispartof>American journal of epidemiology, 2018-07, Vol.187 (7), p.1456-1466</ispartof><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2018</rights><rights>The Author(s) 2018. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-cc0d30fda640c8da5b8d886b684c76fb9e104d91b0c1c44ef9be48a13dc2c37c3</citedby><cites>FETCH-LOGICAL-c502t-cc0d30fda640c8da5b8d886b684c76fb9e104d91b0c1c44ef9be48a13dc2c37c3</cites><orcidid>0000-0002-5475-0494</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,1584,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29982374$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Platt, Jonathan M</creatorcontrib><creatorcontrib>McLaughlin, Katie A</creatorcontrib><creatorcontrib>Luedtke, Alex R</creatorcontrib><creatorcontrib>Ahern, Jennifer</creatorcontrib><creatorcontrib>Kaufman, Alan S</creatorcontrib><creatorcontrib>Keyes, Katherine M</creatorcontrib><title>Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents</title><title>American journal of epidemiology</title><addtitle>Am J Epidemiol</addtitle><description>Abstract
Many studies have shown inverse associations between childhood adversity and intelligence, although most are based on small clinical samples and fail to account for the effects of multiple co-occurring adversities. Using data from the 2001–2004 National Comorbidity Survey Adolescent Supplement, a cross-sectional US population study of adolescents aged 13–18 years (n = 10,073), we examined the associations between 11 childhood adversities and intelligence, using targeted maximum likelihood estimation. Targeted maximum likelihood estimation incorporates machine learning to identify the relationships between exposures and outcomes without overfitting, including interactions and nonlinearity. The nonverbal score from the Kaufman Brief Intelligence Test was used as a standardized measure of fluid reasoning. Childhood adversities were grouped into deprivation and threat types based on recent conceptual models. Adjusted marginal mean differences compared the mean intelligence score if all adolescents experienced each adversity to the mean in the absence of the adversity. The largest associations were observed for deprivation-type experiences, including poverty and low parental education, which were related to reduced intelligence. Although lower in magnitude, threat events related to intelligence included physical abuse and witnessing domestic violence. Violence prevention and poverty-reduction measures would likely improve childhood cognitive outcomes.</description><subject>Abuse</subject><subject>Adolescent</subject><subject>Adolescents</subject><subject>Adverse childhood experiences</subject><subject>Adverse Childhood Experiences - statistics & numerical data</subject><subject>Aggression</subject><subject>Child Abuse - psychology</subject><subject>Children</subject><subject>Cognitive ability</subject><subject>Cross-Sectional Studies</subject><subject>Deprivation</subject><subject>Domestic violence</subject><subject>Female</subject><subject>Humans</subject><subject>Intelligence</subject><subject>Intelligence tests</subject><subject>Learning algorithms</subject><subject>Likelihood Functions</subject><subject>Machine learning</subject><subject>Male</subject><subject>Maximum likelihood estimation</subject><subject>Mental Disorders - epidemiology</subject><subject>Mental Disorders - psychology</subject><subject>Nonlinear systems</subject><subject>Original Contributions</subject><subject>Population studies</subject><subject>Poverty</subject><subject>Risk Factors</subject><subject>Teenagers</subject><subject>United States - epidemiology</subject><subject>Violence</subject><issn>0002-9262</issn><issn>1476-6256</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kdFqFDEUhoModq3e-AASEEGEsSfJTHbmRliXVgsFxbbXIZOc2cmaTaaTmZa99sWddWpRL7wKh3x85_z8hLxk8J5BJU70Fk--3-0B5COyYPlSZpIX8jFZAADPKi75EXmW0haAsaqAp-SIV1XJxTJfkB9Xut_ggJaepsHt9OBioLGhQ4v0G_pfc2pdRz_icIcY6Lp13rYxWrqyt9gnN-ypDpae-dFZeh4G9N5tMBikLlBNry_p19iNs4le6l3n8bBgZaPHZDAM6Tl50mif8MX9e0yuz06v1p-ziy-fzteri8wUwIfMGLACGqtlDqa0uqhLW5aylmVulrKpK2SQ24rVYJjJc2yqGvNSM2ENN2JpxDH5MHu7sd6hPezutVddP-Xu9ypqp_7-Ca5Vm3irJAgGQkyCt_eCPt6MmAa1c1ME73XAOCbFQS6ZyEteTOjrf9BtHPswxVNcgOS5KOSBejdTpo8p9dg8HMNAHbpVU7dq7naCX_15_gP6u8wJeDMDcez-J_oJDqewAg</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Platt, Jonathan M</creator><creator>McLaughlin, Katie A</creator><creator>Luedtke, Alex R</creator><creator>Ahern, Jennifer</creator><creator>Kaufman, Alan S</creator><creator>Keyes, Katherine M</creator><general>Oxford University Press</general><general>Oxford Publishing Limited (England)</general><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>7QP</scope><scope>7T2</scope><scope>7TK</scope><scope>7U7</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-5475-0494</orcidid></search><sort><creationdate>20180701</creationdate><title>Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents</title><author>Platt, Jonathan M ; McLaughlin, Katie A ; Luedtke, Alex R ; Ahern, Jennifer ; Kaufman, Alan S ; Keyes, Katherine M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c502t-cc0d30fda640c8da5b8d886b684c76fb9e104d91b0c1c44ef9be48a13dc2c37c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Abuse</topic><topic>Adolescent</topic><topic>Adolescents</topic><topic>Adverse childhood experiences</topic><topic>Adverse Childhood Experiences - statistics & numerical data</topic><topic>Aggression</topic><topic>Child Abuse - psychology</topic><topic>Children</topic><topic>Cognitive ability</topic><topic>Cross-Sectional Studies</topic><topic>Deprivation</topic><topic>Domestic violence</topic><topic>Female</topic><topic>Humans</topic><topic>Intelligence</topic><topic>Intelligence tests</topic><topic>Learning algorithms</topic><topic>Likelihood Functions</topic><topic>Machine learning</topic><topic>Male</topic><topic>Maximum likelihood estimation</topic><topic>Mental Disorders - epidemiology</topic><topic>Mental Disorders - psychology</topic><topic>Nonlinear systems</topic><topic>Original Contributions</topic><topic>Population studies</topic><topic>Poverty</topic><topic>Risk Factors</topic><topic>Teenagers</topic><topic>United States - epidemiology</topic><topic>Violence</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Platt, Jonathan M</creatorcontrib><creatorcontrib>McLaughlin, Katie A</creatorcontrib><creatorcontrib>Luedtke, Alex R</creatorcontrib><creatorcontrib>Ahern, Jennifer</creatorcontrib><creatorcontrib>Kaufman, Alan S</creatorcontrib><creatorcontrib>Keyes, Katherine M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>American journal of epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Platt, Jonathan M</au><au>McLaughlin, Katie A</au><au>Luedtke, Alex R</au><au>Ahern, Jennifer</au><au>Kaufman, Alan S</au><au>Keyes, Katherine M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents</atitle><jtitle>American journal of epidemiology</jtitle><addtitle>Am J Epidemiol</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>187</volume><issue>7</issue><spage>1456</spage><epage>1466</epage><pages>1456-1466</pages><issn>0002-9262</issn><eissn>1476-6256</eissn><abstract>Abstract
Many studies have shown inverse associations between childhood adversity and intelligence, although most are based on small clinical samples and fail to account for the effects of multiple co-occurring adversities. Using data from the 2001–2004 National Comorbidity Survey Adolescent Supplement, a cross-sectional US population study of adolescents aged 13–18 years (n = 10,073), we examined the associations between 11 childhood adversities and intelligence, using targeted maximum likelihood estimation. Targeted maximum likelihood estimation incorporates machine learning to identify the relationships between exposures and outcomes without overfitting, including interactions and nonlinearity. The nonverbal score from the Kaufman Brief Intelligence Test was used as a standardized measure of fluid reasoning. Childhood adversities were grouped into deprivation and threat types based on recent conceptual models. Adjusted marginal mean differences compared the mean intelligence score if all adolescents experienced each adversity to the mean in the absence of the adversity. The largest associations were observed for deprivation-type experiences, including poverty and low parental education, which were related to reduced intelligence. Although lower in magnitude, threat events related to intelligence included physical abuse and witnessing domestic violence. Violence prevention and poverty-reduction measures would likely improve childhood cognitive outcomes.</abstract><cop>United States</cop><pub>Oxford University Press</pub><pmid>29982374</pmid><doi>10.1093/aje/kwy006</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-5475-0494</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0002-9262 |
ispartof | American journal of epidemiology, 2018-07, Vol.187 (7), p.1456-1466 |
issn | 0002-9262 1476-6256 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6031033 |
source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
subjects | Abuse Adolescent Adolescents Adverse childhood experiences Adverse Childhood Experiences - statistics & numerical data Aggression Child Abuse - psychology Children Cognitive ability Cross-Sectional Studies Deprivation Domestic violence Female Humans Intelligence Intelligence tests Learning algorithms Likelihood Functions Machine learning Male Maximum likelihood estimation Mental Disorders - epidemiology Mental Disorders - psychology Nonlinear systems Original Contributions Population studies Poverty Risk Factors Teenagers United States - epidemiology Violence |
title | Targeted Estimation of the Relationship Between Childhood Adversity and Fluid Intelligence in a US Population Sample of Adolescents |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T17%3A57%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Targeted%20Estimation%20of%20the%20Relationship%20Between%20Childhood%20Adversity%20and%20Fluid%20Intelligence%20in%20a%20US%20Population%20Sample%20of%20Adolescents&rft.jtitle=American%20journal%20of%20epidemiology&rft.au=Platt,%20Jonathan%20M&rft.date=2018-07-01&rft.volume=187&rft.issue=7&rft.spage=1456&rft.epage=1466&rft.pages=1456-1466&rft.issn=0002-9262&rft.eissn=1476-6256&rft_id=info:doi/10.1093/aje/kwy006&rft_dat=%3Cproquest_pubme%3E2067134825%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2306243565&rft_id=info:pmid/29982374&rft_oup_id=10.1093/aje/kwy006&rfr_iscdi=true |