Poor Individual Risk Classification From Adverse Childhood Experiences Screening
Adverse childhood experiences confer an increased risk for physical and mental health problems across the population, prompting calls for routine clinical screening based on reported adverse childhood experience exposure. However, recent longitudinal research has questioned whether adverse childhood...
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Veröffentlicht in: | American journal of preventive medicine 2022-03, Vol.62 (3), p.427-432 |
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description | Adverse childhood experiences confer an increased risk for physical and mental health problems across the population, prompting calls for routine clinical screening based on reported adverse childhood experience exposure. However, recent longitudinal research has questioned whether adverse childhood experiences can accurately identify ill health at an individual level.
Revisiting data collected for the Adverse Childhood Experience Study between 1995 and 1997, this study derived approximate area under the curve estimates to test the ability of the retrospectively reported adverse childhood experience score to discriminate between adults with and without a range of common health risk factors and disease conditions. Furthermore, the classification accuracy of a recommended clinical definition for high-risk exposure (≥4 versus 0–3 adverse childhood experiences) was evaluated on the basis of sensitivity, specificity, positive and negative predictive values, and positive likelihood ratios.
Across all health outcomes, the levels of discrimination for the continuous adverse childhood experience score ranged from very poor to fair (area under the curve=0.50–0.76). The binary classification of ≥4 versus 0–3 adverse childhood experiences yielded high specificity (true-negative detection) and negative predictive values (absence of ill health among low-risk adverse childhood experience groups). However, sensitivity (true-positive detection) and positive predictive values (presence of ill health among high-risk adverse childhood experience groups) were low, whereas positive likelihood ratios suggested only minimal-to-moderate increases in health risks among individuals reporting ≥4 adverse childhood experiences versus that among those reporting 0–3.
These findings suggest that screening based on the adverse childhood experience score does not accurately identify those individuals at high risk of health problems. This can lead to both allocation of unnecessary interventions and lack of provision of necessary support. |
doi_str_mv | 10.1016/j.amepre.2021.08.008 |
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Revisiting data collected for the Adverse Childhood Experience Study between 1995 and 1997, this study derived approximate area under the curve estimates to test the ability of the retrospectively reported adverse childhood experience score to discriminate between adults with and without a range of common health risk factors and disease conditions. Furthermore, the classification accuracy of a recommended clinical definition for high-risk exposure (≥4 versus 0–3 adverse childhood experiences) was evaluated on the basis of sensitivity, specificity, positive and negative predictive values, and positive likelihood ratios.
Across all health outcomes, the levels of discrimination for the continuous adverse childhood experience score ranged from very poor to fair (area under the curve=0.50–0.76). The binary classification of ≥4 versus 0–3 adverse childhood experiences yielded high specificity (true-negative detection) and negative predictive values (absence of ill health among low-risk adverse childhood experience groups). However, sensitivity (true-positive detection) and positive predictive values (presence of ill health among high-risk adverse childhood experience groups) were low, whereas positive likelihood ratios suggested only minimal-to-moderate increases in health risks among individuals reporting ≥4 adverse childhood experiences versus that among those reporting 0–3.
These findings suggest that screening based on the adverse childhood experience score does not accurately identify those individuals at high risk of health problems. This can lead to both allocation of unnecessary interventions and lack of provision of necessary support.</description><identifier>ISSN: 0749-3797</identifier><identifier>EISSN: 1873-2607</identifier><identifier>DOI: 10.1016/j.amepre.2021.08.008</identifier><identifier>PMID: 34635382</identifier><language>eng</language><publisher>Netherlands: Elsevier Inc</publisher><subject>Adult ; Adverse ; Adverse Childhood Experiences ; Child abuse & neglect ; Childhood ; Childhood experiences ; Childhood factors ; Classification ; Discrimination ; Health problems ; Health risk assessment ; Health risks ; Health status ; High risk ; Humans ; Mass Screening ; Medical screening ; Mental disorders ; Mental health ; Predictions ; Retrospective Studies ; Risk Factors ; Tests ; Values</subject><ispartof>American journal of preventive medicine, 2022-03, Vol.62 (3), p.427-432</ispartof><rights>2021 American Journal of Preventive Medicine</rights><rights>Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. Mar 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-af3f05b094b37f948516f5275356844e23f7a467de30acc37c67f670fcaa5e793</citedby><cites>FETCH-LOGICAL-c502t-af3f05b094b37f948516f5275356844e23f7a467de30acc37c67f670fcaa5e793</cites><orcidid>0000-0001-7169-997X ; 0000-0002-4153-5728 ; 0000-0002-1103-6215 ; 0000-0002-5703-5058 ; 0000-0001-8718-5412</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0749379721004566$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,30976,33751,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34635382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Meehan, Alan J.</creatorcontrib><creatorcontrib>Baldwin, Jessie R.</creatorcontrib><creatorcontrib>Lewis, Stephanie J.</creatorcontrib><creatorcontrib>MacLeod, Jelena G.</creatorcontrib><creatorcontrib>Danese, Andrea</creatorcontrib><title>Poor Individual Risk Classification From Adverse Childhood Experiences Screening</title><title>American journal of preventive medicine</title><addtitle>Am J Prev Med</addtitle><description>Adverse childhood experiences confer an increased risk for physical and mental health problems across the population, prompting calls for routine clinical screening based on reported adverse childhood experience exposure. However, recent longitudinal research has questioned whether adverse childhood experiences can accurately identify ill health at an individual level.
Revisiting data collected for the Adverse Childhood Experience Study between 1995 and 1997, this study derived approximate area under the curve estimates to test the ability of the retrospectively reported adverse childhood experience score to discriminate between adults with and without a range of common health risk factors and disease conditions. Furthermore, the classification accuracy of a recommended clinical definition for high-risk exposure (≥4 versus 0–3 adverse childhood experiences) was evaluated on the basis of sensitivity, specificity, positive and negative predictive values, and positive likelihood ratios.
Across all health outcomes, the levels of discrimination for the continuous adverse childhood experience score ranged from very poor to fair (area under the curve=0.50–0.76). The binary classification of ≥4 versus 0–3 adverse childhood experiences yielded high specificity (true-negative detection) and negative predictive values (absence of ill health among low-risk adverse childhood experience groups). However, sensitivity (true-positive detection) and positive predictive values (presence of ill health among high-risk adverse childhood experience groups) were low, whereas positive likelihood ratios suggested only minimal-to-moderate increases in health risks among individuals reporting ≥4 adverse childhood experiences versus that among those reporting 0–3.
These findings suggest that screening based on the adverse childhood experience score does not accurately identify those individuals at high risk of health problems. This can lead to both allocation of unnecessary interventions and lack of provision of necessary support.</description><subject>Adult</subject><subject>Adverse</subject><subject>Adverse Childhood Experiences</subject><subject>Child abuse & neglect</subject><subject>Childhood</subject><subject>Childhood experiences</subject><subject>Childhood factors</subject><subject>Classification</subject><subject>Discrimination</subject><subject>Health problems</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Health status</subject><subject>High risk</subject><subject>Humans</subject><subject>Mass Screening</subject><subject>Medical screening</subject><subject>Mental disorders</subject><subject>Mental health</subject><subject>Predictions</subject><subject>Retrospective Studies</subject><subject>Risk Factors</subject><subject>Tests</subject><subject>Values</subject><issn>0749-3797</issn><issn>1873-2607</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>BHHNA</sourceid><recordid>eNp9kE1v1DAURS0EokPhHyAUiU03Cc927OdskKpRC5UqUfGxtjzOM_WQxIM9GcG_J8MUFixYvc259z4dxl5yaDhw_WbbuJF2mRoBgjdgGgDziK24QVkLDfiYrQDbrpbY4Rl7VsoWANDw7ik7k62WShqxYnd3KeXqZurjIfazG6qPsXyr1oMrJYbo3T6mqbrOaawu-wPlQtX6Pg79fUp9dfVjRznS5KlUn3wmmuL09Tl7EtxQ6MXDPWdfrq8-r9_Xtx_e3awvb2uvQOxrF2QAtYGu3UgMXWsU10EJVFJp07YkZEDXauxJgvNeotcYNELwzinCTp6zi1PvLqfvM5W9HWPxNAxuojQXK5ThwhiAI_r6H3Sb5jwt31mhpUEEhbhQ7YnyOZWSKdhdjqPLPy0HezRut_Zk3B6NWzB2Mb7EXj2Uz5uR-r-hP4oX4O0JoMXGIVK2xf-W1sdMfm_7FP-_8Au4MJKm</recordid><startdate>202203</startdate><enddate>202203</enddate><creator>Meehan, Alan J.</creator><creator>Baldwin, Jessie R.</creator><creator>Lewis, Stephanie J.</creator><creator>MacLeod, Jelena G.</creator><creator>Danese, Andrea</creator><general>Elsevier Inc</general><general>Elsevier Science Ltd</general><scope>6I.</scope><scope>AAFTH</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>7QJ</scope><scope>7U3</scope><scope>BHHNA</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-7169-997X</orcidid><orcidid>https://orcid.org/0000-0002-4153-5728</orcidid><orcidid>https://orcid.org/0000-0002-1103-6215</orcidid><orcidid>https://orcid.org/0000-0002-5703-5058</orcidid><orcidid>https://orcid.org/0000-0001-8718-5412</orcidid></search><sort><creationdate>202203</creationdate><title>Poor Individual Risk Classification From Adverse Childhood Experiences Screening</title><author>Meehan, Alan J. ; Baldwin, Jessie R. ; Lewis, Stephanie J. ; MacLeod, Jelena G. ; Danese, Andrea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c502t-af3f05b094b37f948516f5275356844e23f7a467de30acc37c67f670fcaa5e793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adult</topic><topic>Adverse</topic><topic>Adverse Childhood Experiences</topic><topic>Child abuse & neglect</topic><topic>Childhood</topic><topic>Childhood experiences</topic><topic>Childhood factors</topic><topic>Classification</topic><topic>Discrimination</topic><topic>Health problems</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Health status</topic><topic>High risk</topic><topic>Humans</topic><topic>Mass Screening</topic><topic>Medical screening</topic><topic>Mental disorders</topic><topic>Mental health</topic><topic>Predictions</topic><topic>Retrospective Studies</topic><topic>Risk Factors</topic><topic>Tests</topic><topic>Values</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Meehan, Alan J.</creatorcontrib><creatorcontrib>Baldwin, Jessie R.</creatorcontrib><creatorcontrib>Lewis, Stephanie J.</creatorcontrib><creatorcontrib>MacLeod, Jelena G.</creatorcontrib><creatorcontrib>Danese, Andrea</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>American journal of preventive medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Meehan, Alan J.</au><au>Baldwin, Jessie R.</au><au>Lewis, Stephanie J.</au><au>MacLeod, Jelena G.</au><au>Danese, Andrea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Poor Individual Risk Classification From Adverse Childhood Experiences Screening</atitle><jtitle>American journal of preventive medicine</jtitle><addtitle>Am J Prev Med</addtitle><date>2022-03</date><risdate>2022</risdate><volume>62</volume><issue>3</issue><spage>427</spage><epage>432</epage><pages>427-432</pages><issn>0749-3797</issn><eissn>1873-2607</eissn><abstract>Adverse childhood experiences confer an increased risk for physical and mental health problems across the population, prompting calls for routine clinical screening based on reported adverse childhood experience exposure. However, recent longitudinal research has questioned whether adverse childhood experiences can accurately identify ill health at an individual level.
Revisiting data collected for the Adverse Childhood Experience Study between 1995 and 1997, this study derived approximate area under the curve estimates to test the ability of the retrospectively reported adverse childhood experience score to discriminate between adults with and without a range of common health risk factors and disease conditions. Furthermore, the classification accuracy of a recommended clinical definition for high-risk exposure (≥4 versus 0–3 adverse childhood experiences) was evaluated on the basis of sensitivity, specificity, positive and negative predictive values, and positive likelihood ratios.
Across all health outcomes, the levels of discrimination for the continuous adverse childhood experience score ranged from very poor to fair (area under the curve=0.50–0.76). The binary classification of ≥4 versus 0–3 adverse childhood experiences yielded high specificity (true-negative detection) and negative predictive values (absence of ill health among low-risk adverse childhood experience groups). However, sensitivity (true-positive detection) and positive predictive values (presence of ill health among high-risk adverse childhood experience groups) were low, whereas positive likelihood ratios suggested only minimal-to-moderate increases in health risks among individuals reporting ≥4 adverse childhood experiences versus that among those reporting 0–3.
These findings suggest that screening based on the adverse childhood experience score does not accurately identify those individuals at high risk of health problems. This can lead to both allocation of unnecessary interventions and lack of provision of necessary support.</abstract><cop>Netherlands</cop><pub>Elsevier Inc</pub><pmid>34635382</pmid><doi>10.1016/j.amepre.2021.08.008</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-7169-997X</orcidid><orcidid>https://orcid.org/0000-0002-4153-5728</orcidid><orcidid>https://orcid.org/0000-0002-1103-6215</orcidid><orcidid>https://orcid.org/0000-0002-5703-5058</orcidid><orcidid>https://orcid.org/0000-0001-8718-5412</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Adverse Adverse Childhood Experiences Child abuse & neglect Childhood Childhood experiences Childhood factors Classification Discrimination Health problems Health risk assessment Health risks Health status High risk Humans Mass Screening Medical screening Mental disorders Mental health Predictions Retrospective Studies Risk Factors Tests Values |
title | Poor Individual Risk Classification From Adverse Childhood Experiences Screening |
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