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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" xml:lang="en" article-type="research-article"><?properties manuscript?><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-journal-id">8303128</journal-id><journal-id journal-id-type="pubmed-jr-id">4064</journal-id><journal-id journal-id-type="nlm-ta">Health Aff (Millwood)</journal-id><journal-id journal-id-type="iso-abbrev">Health Aff (Millwood)</journal-id><journal-title-group><journal-title>Health affairs (Project Hope)</journal-title></journal-title-group><issn pub-type="ppub">0278-2715</issn><issn pub-type="epub">2694-233X</issn></journal-meta><article-meta><article-id pub-id-type="pmid">39761465</article-id><article-id pub-id-type="pmc">11752160</article-id><article-id pub-id-type="doi">10.1377/hlthaff.2024.00827</article-id><article-id pub-id-type="manuscript">HHSPA2048547</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Adverse Childhood Experiences: Increased Likelihood Of Socioeconomic Disadvantages For Young Adults</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Ratcliff</surname><given-names>Shawn</given-names></name><aff id="A1">Census Bureau, Kansas City, Missouri.</aff></contrib><contrib contrib-type="author"><name><surname>Finlay</surname><given-names>Keith</given-names></name><aff id="A2">Census Bureau, Washington, D.C.</aff></contrib><contrib contrib-type="author"><name><surname>Papp</surname><given-names>Jordan</given-names></name><aff id="A3">University of Michigan, Ann Arbor, Michigan.</aff></contrib><contrib contrib-type="author"><name><surname>Kearns</surname><given-names>Megan C.</given-names></name><aff id="A4">Centers for Disease Control and Prevention, Atlanta, Georgia.</aff></contrib><contrib contrib-type="author"><name><surname>Niolon</surname><given-names>Phyllis Holditch</given-names></name><aff id="A5">Centers for Disease Control and Prevention.</aff></contrib><contrib contrib-type="author"><name><surname>Peterson</surname><given-names>Cora</given-names></name><aff id="A6">Centers for Disease Control and Prevention.</aff></contrib></contrib-group><author-notes><corresp id="CR1">(<email>shawn.ratcliff@census.gov</email>)</corresp></author-notes><pub-date pub-type="nihms-submitted"><day>16</day><month>1</month><year>2025</year></pub-date><pub-date pub-type="ppub"><month>1</month><year>2025</year></pub-date><pub-date pub-type="pmc-release"><day>22</day><month>1</month><year>2025</year></pub-date><volume>44</volume><issue>1</issue><fpage>108</fpage><lpage>116</lpage><abstract id="ABS1"><p id="P1">More than 60 percent of US adults report that they had adverse childhood experiences (ACEs). For this study of 930,000 children born during the period 1999&#x02013;2003, we used linked administrative, survey, and criminal justice data to measure the association between ACEs (parental death; separation; incarceration; or criminal charge for intimate partner violence, substance use disorder, or child sexual or nonsexual abuse) and socioeconomic disadvantages at ages 18&#x02013;22 during 2017&#x02013;21. After childhood socioeconomic status was controlled for, young adults with ACEs were more likely to have been charged with felonies, have become teenage parents, live in a household with poverty or housing assistance, be enrolled in Medicaid, and be employed, and were less likely to be enrolled in an educational institution. These outcomes were most likely among young adults with multiple ACEs or lower childhood socioeconomic status. Using new linked data opportunities, this study provides large-scale, person-level longitudinal evidence of the long-lasting and substantial societal cost of ACEs.</p></abstract></article-meta></front><body><p id="P2">More than 60 percent of US adults report that they had adverse childhood experiences (ACEs)&#x02014;preventable, potentially traumatic events such as neglect, experiencing or witnessing violence, having a family member attempt or die by suicide, having a caregiver negatively affected by substance use or a mental health condition, or instability due to prolonged separation from a caregiver.<sup><xref rid="R1" ref-type="bibr">1</xref>&#x02013;<xref rid="R4" ref-type="bibr">4</xref></sup> Adults with ACEs have more unhealthy risk behaviors and worse health outcomes.<sup><xref rid="R5" ref-type="bibr">5</xref>&#x02013;<xref rid="R7" ref-type="bibr">7</xref></sup> The estimated lifetime societal cost of ACEs-related poor health in the US is $2.4 million per affected person and is even higher with multiple ACEs.<sup><xref rid="R8" ref-type="bibr">8</xref></sup> ACEs are prevalent among juvenile justice&#x02013;involved populations, and cross-sectional surveys of adults indicate that ACEs are associated with unemployment, poverty, Medicaid usage, lower educational attainment, criminal justice involvement, and intimate partner violence in adulthood.<sup><xref rid="R9" ref-type="bibr">9</xref>&#x02013;<xref rid="R13" ref-type="bibr">13</xref></sup></p><p id="P3">Most investigations of the long-term impacts of ACEs are based on cross-sectional, self-reported past exposures among adults; address primarily health outcomes; and do not address childhood socioeconomic status.<sup><xref rid="R14" ref-type="bibr">14</xref>,<xref rid="R15" ref-type="bibr">15</xref></sup> This study aimed to use individual-level linked administrative and survey data in combination with a new criminal justice records database (the Criminal Justice Administrative Records System, or CJARS) to longitudinally examine the association between ACEs and socioeconomic disadvantages among young US adults.<sup><xref rid="R16" ref-type="bibr">16</xref></sup></p><sec id="S1"><title>Study Data And Methods</title><p id="P4">In this retrospective observational case-control study, we assessed indicators of childhood adversity (younger than age 18) and socioeconomic status in young adulthood (ages 18&#x02013;22) among the population born during the period 1999&#x02013;2003 in four states (Maryland, Michigan, North Carolina, and North Dakota), using the Census Bureau&#x02019;s anonymized Protected Identification Keys.</p><sec id="S2"><title>DATA SOURCES</title><p id="P5">Person-level data were assessed across multiple data sources, including CJARS, the decennial census, the Census Bureau&#x02019;s Numerical Identification file (Census Numident), and the Census Bureau&#x02019;s American Community Survey, as well as data from the Internal Revenue Service (IRS), Department of Housing and Urban Development (HUD), and Centers for Medicare and Medicaid Services (CMS).<sup><xref rid="R17" ref-type="bibr">17</xref>&#x02013;<xref rid="R22" ref-type="bibr">22</xref></sup> Protected Identification Keys do not contain personally identifiable information.<sup><xref rid="R23" ref-type="bibr">23</xref>,<xref rid="R24" ref-type="bibr">24</xref></sup> This study did not constitute human subjects research (Common Rule, 45 CFR Section 46).</p></sec><sec id="S3"><title>METHODS</title><p id="P6">Study outcome measures were ACEs incidence by type and the estimated average marginal effect of individual ACEs (for example, parental incarceration) and cumulative ACEs (1, 2&#x02013;3, 4 or more, or any) on young adult socioeconomic status measures. Analysis was conducted using Stata, version 18. The online appendix details sample construction (<xref rid="SD1" ref-type="supplementary-material">appendix exhibits A1</xref>&#x02013;<xref rid="SD1" ref-type="supplementary-material">A5</xref>); comparison of ACEs incidence measures from this study versus from the Behavioral Risk Factor Surveillance System (BRFSS) and National Survey of Children&#x02019;s Health (NSCH), which are prominent federal self-reported and caregiver-reported survey sources (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A6</xref>); timing of exposure and outcome measures (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A7</xref>); survey weights; and complete model results (<xref rid="SD1" ref-type="supplementary-material">appendix exhibits A8</xref>&#x02013;<xref rid="SD1" ref-type="supplementary-material">A17</xref>).<sup><xref rid="R25" ref-type="bibr">25</xref></sup></p><sec id="S4"><title>SAMPLE SELECTION:</title><p id="P7">CJARS is a new unified data infrastructure for measuring individuals&#x02019; longitudinal interactions with the criminal justice system, including arrests; criminal court case filings; and terms of probation, incarceration, and parole.<sup><xref rid="R21" ref-type="bibr">21</xref></sup> Comprehensive data on felony charges and incarceration sentences were available for the four study states at the time of analysis. The eligible study population (<italic toggle="yes">N</italic> = 1,650,000) included people born during 1999&#x02013;2003, as reported in the Census Numident and the Census Household Composition Key, which identifies anonymized parent-child linkages on the basis of applications for Social Security numbers, plus cohabitation indicated by sources such as IRS 1040 forms and decennial censuses. The study analysis sample (<italic toggle="yes">n</italic> = 930,000) comprised people also reported in the 2010 census who had complete key data (race and ethnicity from the Census Bureau Best Race file and parents&#x02019; adjusted gross income from 2000 IRS 1040 individual tax returns).<sup><xref rid="R17" ref-type="bibr">17</xref>,<xref rid="R18" ref-type="bibr">18</xref></sup></p></sec><sec id="S5"><title>ACES INCIDENCE MEASURES:</title><p id="P8">ACEs were selected for analysis on the basis of long-standing measures in the BRFSS (adult respondents addressing childhood experiences) and NSCH (caregiver respondents reporting for children).<sup><xref rid="R26" ref-type="bibr">26</xref>,<xref rid="R27" ref-type="bibr">27</xref></sup> Parental death was identified using the Census Numident when study subjects were ages 0&#x02013;17. Parental separation was identified using the 2010 decennial census (study subjects were ages 7&#x02013;11, depending on birth year), if a parent identified in the Census Household Composition Key was no longer coresident with the study subject. Parents with incarceration sentences (any crime); an intimate partner violence criminal offense charge; or felony charges related to substance use disorder (SUD: drug possession, drug trafficking, or driving under the influence), child nonsexual abuse (for example, physical or emotional abuse or neglect), or child molestation (that is, sexual abuse) were identified in CJARS when study subjects were ages 0&#x02013;17, limited to times when the parent and study subject child were coresident.<sup><xref rid="R18" ref-type="bibr">18</xref>,<xref rid="R20" ref-type="bibr">20</xref>,<xref rid="R28" ref-type="bibr">28</xref></sup></p></sec><sec id="S6"><title>SOCIOECONOMIC MEASURES:</title><p id="P9">Young adult socioeconomic status indicators (household poverty, household housing assistance, Medicaid enrollment, employment status, and education enrollment) and factors that typically portend disadvantage (felony charge and teenage birth)<sup><xref rid="R29" ref-type="bibr">29</xref>&#x02013;<xref rid="R31" ref-type="bibr">31</xref></sup> were observed among study subjects at ages 18&#x02013;22 during 2017&#x02013;21 (teenage birth was observed at ages 13&#x02013;19 during 2012&#x02013;21). Felony charges among study subjects any time during 2017&#x02013;21 were identified in CJARS; the oldest study subjects (those born in 1999) were observed during ages 18&#x02013;22, and the youngest study subjects (those born in 2003) were observed during ages 18&#x02013;19 (<italic toggle="yes">n</italic> = 930,000). Teenage birth was assessed among the entire analysis sample (<italic toggle="yes">n</italic> = 930,000) and identified in the Census Household Composition Key when a study subject appeared as a parent on a Social Security number application. Being part of a household that received rental housing assistance any time during 2017&#x02013;21 was assessed using HUD&#x02019;s Longitudinal Public and Indian Housing Information Center and Tenant Rental Assistance Certification System (<italic toggle="yes">n</italic> = 930,000). Analysis of study subjects&#x02019; self-reported education enrollment (high school or college) and being a member of a household with self-reported income below the federal poverty threshold was limited to study subjects with American Community Survey records during 2017&#x02013;21 (<italic toggle="yes">n</italic> = 23,000). Medicaid enrollment was assessed any time during 2017&#x02013;19 (when participants were ages 18&#x02013;21) and limited to study subjects born 1999&#x02013;2001 to observe outcomes for those age 18 or older in the CMS Transformed Medicaid Statistical Information System data available at the time of the study (<italic toggle="yes">n</italic> = 570,000). According to available data, employment was assessed only in 2021 (participants ages 18&#x02013;22, depending on birth year) using IRS W-2 information returns (that is, required filing for employers if people earned $600 or more that year) (<italic toggle="yes">n</italic> = 930,000). <xref rid="T1" ref-type="table">Exhibit 1</xref> summarizes our measures, sample sizes, and data sources.</p></sec><sec id="S7"><title>STATISTICAL ANALYSIS:</title><p id="P10">Changes in the probability of socioeconomic disadvantages associated with ACEs were calculated using average marginal effects (Stata <italic toggle="yes">margins, dydx</italic>) from this study&#x02019;s primary logistic regression models (model 1; a separate model was analyzed for each socioeconomic measure) (Stata <italic toggle="yes">logit</italic>), which measured the association between the seven binary young adult socioeconomic indicators (for example, housing assistance) as dependent variables and the seven assessed ACEs binary exposures (for example, parental death) as independent variables, controlling for study subject birth year (1999&#x02013;2003), state of birth (Maryland, Michigan, North Carolina, and North Dakota), sex (male and female), race (White, Black, American Indian or Alaska Native, Asian/Native Hawaiian or Pacific Islander, some other race, and multiracial), ethnicity (Hispanic), family structure at birth (single mother, single father, and dual parent), and childhood socioeconomic status (year 2000 parental adjusted gross income from IRS 1040 tax filings; in the case of multiple households, the higher household income was used). Sensitivity analyses tested the effect of childhood socioeconomic status; model 2 did not include the control for study subjects&#x02019; childhood household income, and model 3 added more socioeconomic status indicators from study subjects&#x02019; childhoods among a smaller sample of study subjects with available data from the 2000 census Sample Edited Detail File (<italic toggle="yes">n</italic> = 107,000). The additional variables for model 3 were at least one parent with household poverty, high school completion, US citizenship, or a disability (that is, self-reported limiting physical, mental, or emotional disability). Models using American Community Survey or Sample Edited Detail File data employed person-level survey weights.</p></sec></sec><sec id="S8"><title>LIMITATIONS</title><p id="P11">We acknowledge several limitations. In using administrative and criminal justice data sources, this study applied objective but very conservative measures of ACEs exposure. Associations between ACEs and young adult socioeconomic disadvantages were underestimated because children with ACEs who did not come to the attention of the criminal justice system were included in the control sample (no ACEs), as were children with ACEs linked to non-cohabitating parents. This study assumed that parental felony charges for child abuse while the parent and child cohabitated included the child as a victim. This was a limitation of available data (CJARS does not include victim information) but is reasonable, given that nationwide child welfare administrative data indicate that nearly 90 percent of child abuse victims had a parent perpetrator.<sup><xref rid="R32" ref-type="bibr">32</xref></sup> This study&#x02019;s measure for parental incarceration included only prison sentences, which may be reasonably interpreted as more disruptive to children&#x02019;s lives than jail sentences as a result of their longer duration. This study relied on data derived from probabilistic parent-child record linkages, which are widely used but have drawbacks.<sup><xref rid="R24" ref-type="bibr">24</xref>,<xref rid="R33" ref-type="bibr">33</xref></sup> This study&#x02019;s primary regression models controlled for childhood socioeconomic status using a single year of parental income; parental separation was assessed only in 2010, and study subjects&#x02019; employment as young adults was assessed only in 2021. Census Bureau Protected Identification Key methods are known to underrepresent Hispanics because this ethnic population has a higher prevalence of undocumented people and more record linkage challenges such as compound family names (see <xref rid="SD1" ref-type="supplementary-material">appendix section A</xref>).<sup><xref rid="R25" ref-type="bibr">25</xref></sup></p></sec></sec><sec id="S9"><title>Study Results</title><sec id="S10"><title>ACES INCIDENCE</title><p id="P12">ACEs incidence estimates for parental death (1.6 percent of the study sample) and parental separation (26.0 percent), using this study&#x02019;s administrative and census data source measures (<xref rid="T1" ref-type="table">exhibit 1</xref>), were comparable in magnitude to the most recent nationwide self-reported BRFSS and parent-reported NSCH incidence estimates (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A6</xref>).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> This study&#x02019;s parental SUD incidence estimate (14.0 percent) was lower than the comparable measure in the BRFSS but higher than in the NSCH. This study&#x02019;s estimated incidences of parental incarceration (3.7 percent), witnessing intimate partner violence during childhood (1.0 percent), physical or emotional child abuse (0.5 percent), and sexual abuse (1.7 percent), based on parental felony charges, were lower than comparable estimates in the BRFSS and the NSCH, which both used broader definitions of exposure (<xref rid="T1" ref-type="table">exhibit 1</xref> and <xref rid="SD1" ref-type="supplementary-material">appendix exhibit A6</xref>).<sup><xref rid="R25" ref-type="bibr">25</xref></sup></p></sec><sec id="S11"><title>INDIVIDUAL ACES</title><p id="P13">Controlling for childhood socioeconomic status, young adults with ACEs had a higher probability of having felony charges compared with other young adults (from 11 percent [parental death] to 52 percent [parental SUD] higher probability) (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, model 1, and <xref rid="F1" ref-type="fig">exhibit 2</xref>, which visualizes statistically significant model 1 results).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> This association ceased to be statistically significant for study subjects with parental death or parental felony charges for physical or emotional abuse when additional childhood socioeconomic controls were included among the smaller analysis sample with available data (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, model 3).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> Young adults with any of the assessed individual ACEs except parental death were significantly more likely to have a teenage birth (from 25 percent [parental incarceration] to 73 percent [parental separation] higher probability; <xref rid="F1" ref-type="fig">exhibit 2</xref>), but the association between childhood physical or emotional abuse and this outcome was sensitive to childhood socioeconomic status (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, model 3).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> Study subjects who had parental separation or parental felony charges for sexual abuse during childhood were significantly more likely to have household poverty (27 percent and 43 percent higher probability, respectively) (<xref rid="F1" ref-type="fig">exhibit 2</xref>). All ACEs except parental death (27 percent lower probability) were significantly associated with higher probability of being in a household that received housing assistance in young adulthood (up to 67 percent [parental separation] higher probability), although associations with parental incarceration, physical or emotional abuse, and sexual abuse were sensitive to childhood socioeconomic status (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, model 3).<sup><xref rid="R25" ref-type="bibr">25</xref></sup></p><p id="P14">Each assessed individual ACE was significantly associated with Medicaid enrollment in young adulthood (from 23 percent [witnessing intimate partner violence] to 52 percent [parental separation] higher probability) (<xref rid="F1" ref-type="fig">exhibit 2</xref>). Young adults who experienced parental death or parental felony charges for SUD, child physical or emotional abuse, or child sexual abuse during childhood were slightly less likely to be employed (1&#x02013;3 percent lower probability) in primary models (<xref rid="F1" ref-type="fig">exhibit 2</xref>), although the associations with parental death and abuse charges were sensitive to childhood socioeconomic status (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, models 2 and 3).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> Young adults whose parents separated during childhood were slightly more likely to be employed (2 percent higher probability; <xref rid="F1" ref-type="fig">exhibit 2</xref>), regardless of controls for childhood socioeconomic status (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, models 2 and 3).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> Young adults with parental death, parental separation, witnessing intimate partner violence, parental SUD, or parental child sexual abuse were less likely to be enrolled in education than young adults in the primary models (from 11 percent [parental death] to 20 percent [sexual abuse] lower probability) (<xref rid="F1" ref-type="fig">exhibit 2</xref>), although each of these associations, except for parental separation, was sensitive to childhood socioeconomic status (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, models 2 and 3).<sup><xref rid="R25" ref-type="bibr">25</xref></sup></p></sec><sec id="S12"><title>CUMULATIVE ACES</title><p id="P15">Young adults with any ACEs had a higher probability of a felony charge (67 percent), having a teenage birth (98 percent), having household poverty (32 percent), having household housing assistance (75 percent), having Medicaid enrollment (70 percent), and being employed (1 percent), but lower probability of being enrolled in education (&#x02212;18 percent), compared to young adults with no ACEs (<xref rid="F2" ref-type="fig">exhibit 3</xref>). Study subjects&#x02019; number of ACEs was correlated with the magnitude of these estimated associations. For example, having one, two to three, or four or more ACEs compared with no ACEs was significantly associated with a 49 percent (one ACE), 109 percent (two to three ACEs), and 182 percent (four or more ACEs) higher probability of a felony charge, respectively, and having one or two to three ACEs was significantly associated with progressively lower probability (&#x02212;15 percent and &#x02212;28 percent, respectively) of education enrollment. Having one ACE was associated with a slightly increased (1 percent) probability of employment, but there was no statistically significant association with higher ACEs counts. In sensitivity analyses, dropping the control for parental income during study subjects&#x02019; childhoods did not yield substantively different results (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, model 2).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> Additional controls for childhood socioeconomic status among the smaller analysis sample with available data did not change the direction or significance of most measured associations from the primary models, except for the association between any ACEs and modestly higher young adult employment, and one ACE and both employment and education enrollment ceased to be statistically significant with the additional controls (<xref rid="SD1" ref-type="supplementary-material">appendix exhibit A17</xref>, model 3).<sup><xref rid="R25" ref-type="bibr">25</xref></sup> Overall, the added childhood socioeconomic status controls in model 3 modestly reduced the increased probability of young adult socioeconomic disadvantages associated with ACEs, suggesting a protective effect from more socioeconomic advantages in childhood.</p></sec></sec><sec id="S13"><title>Discussion</title><p id="P16">In this study, young adults with ACEs were more likely to have felony charges, be teenage parents, live in a household with poverty or housing assistance, have Medicaid, and be employed, and were less likely to be enrolled in education by ages 18&#x02013;22 compared to their peers without ACEs. Analysis of cumulative ACEs supported previous studies documenting a dose-response relationship between ACEs and harmful long-term outcomes. Although many large-sample studies of ACEs have cross-sectionally examined the association between retrospective self-reported ACEs and current adult health outcomes, this study used anonymized linked administrative, census, and survey data sources to longitudinally examine ACEs along with young adult socioeconomic outcomes among a large population-based study sample. This study&#x02019;s unique data approach allowed assessment of ACEs without either reliance on mandatory reporting laws for child abuse and neglect or ethical and methodological considerations involved with self-report or parent-report survey data collection. Although this study underestimated the prevalence of some ACEs compared with self-reported data sources, the study&#x02019;s data linkage infrastructure benefited from being a cost-effective way to investigate people&#x02019;s longitudinal experiences compared with traditional data collection methods for longitudinal studies.</p><p id="P17">This study&#x02019;s primary models provide the most relevant and generalizable evidence for public health decision making and investments in population-based prevention strategies. One reason for this is that average exposure effects, as measured among the largest available sample, tend to be most applicable for forecasting the cost-effectiveness of public health prevention strategies. Nonetheless, it is important to consider that this study&#x02019;s measured associations between ACEs and young adult socioeconomic disadvantages were most pronounced among people who had multiple ACEs or more childhood socioeconomic disadvantages, pointing to a mitigating effect from greater economic resources during childhood.</p><p id="P18">When we controlled for several indicators of childhood socioeconomic status, parental death in isolation was not associated with increased probability of young adult socioeconomic disadvantages. Parental death is also the only assessed ACE with specific, widely available, and relatively generous associated monetary support during childhood via Social Security Administration survivor benefits. In contrast, this study&#x02019;s measured associations between young adult socioeconomic disadvantages and parental separation persisted despite multiple controls for childhood socioeconomic status, as did this study&#x02019;s estimated higher probability of felony charges, teenage birth, housing assistance, and Medicaid enrollment associated with parental incarceration, parental SUD, witnessing intimate partner violence, and sexual abuse. As time passes and CJARS expands to additional states, there will be opportunities for analysis among an expanded study sample at older ages.</p><p id="P19">Previous research has identified only limited concordance between administrative and self-reported measures of childhood adversity.<sup><xref rid="R34" ref-type="bibr">34</xref>&#x02013;<xref rid="R36" ref-type="bibr">36</xref></sup> Such studies contradict the notion that administrative reports are a subset of self-reported adversity, and they point to self-reported adversity having a stronger association with harmful outcomes. This is further evidence that this study&#x02019;s methods may have underestimated the impact of ACEs on young adult socioeconomic disadvantages. Additional direct comparisons of childhood adversity reporting type&#x02014;subjective, administrative, and criminal justice&#x02014;will improve understanding of the benefits and drawbacks of different methods to identify childhood adversity and assess its long-term effects.</p></sec><sec id="S14"><title>Conclusion</title><p id="P20">Children with ACEs are substantially more likely to have socioeconomic disadvantages as young adults. Evidence on the long-term socioeconomic burden of childhood adversity is essential to increase understanding of the value of investments in prevention strategies. The CDC resource &#x0201c;Adverse Childhood Experiences (ACEs) Prevention: Resource for Action&#x0201d;<sup><xref rid="R1" ref-type="bibr">1</xref></sup> can help states, tribes, and communities use the best available evidence to prevent ACEs from happening in the first place, as well as to lessen harms when ACEs do occur.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material id="SD1" position="float" content-type="local-data"><label>Supplement</label><media xlink:href="NIHMS2048547-supplement-Supplement.pdf" id="d67e450" position="anchor"/></supplementary-material></sec></body><back><fn-group><fn id="FN1"><p id="P21">The findings and conclusions in this article are those of the authors and do not necessarily represent the official positions of the Centers for Disease Control and Prevention or the Census Bureau. The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project P-7500378, Disclosure Review Board approval numbers CBDRB-FY23&#x02013;0527, CBDRB-FY24-SEHSD013&#x02013;006). To access the authors&#x02019; disclosures, click on the Details tab of the article online.</p></fn></fn-group><ref-list><title>NOTES</title><ref id="R1"><label>1</label><mixed-citation publication-type="book"><collab>Centers for Disease Control and Prevention, National Center for Injury Prevention and Control, Division of Violence Prevention</collab>. <source>Adverse childhood experiences (ACEs) prevention: resource for action: a compilation of the best available evidence [Internet]</source>. <publisher-loc>Atlanta (GA)</publisher-loc>: <publisher-name>CDC</publisher-name>; <year>2023</year>
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</mixed-citation></ref><ref id="R36"><label>36</label><mixed-citation publication-type="journal"><name><surname>Meyer</surname><given-names>BD</given-names></name>, <name><surname>Mittag</surname><given-names>N</given-names></name>, <name><surname>Goerge</surname><given-names>RM</given-names></name>. <article-title>Errors in survey reporting and imputation and their effects on estimates of Food Stamp Program participation</article-title>. <source>J Hum Resour</source>. <year>2022</year>; <volume>57</volume>(<issue>5</issue>):<fpage>1605</fpage>&#x02013;<lpage>44</lpage>.</mixed-citation></ref></ref-list></back><floats-group><fig position="float" id="F1"><label>EXHIBIT 2</label><caption><p id="P22">Probability changes in socioeconomic disadvantages associated with individual adverse childhood experiences for people in 4 states who were ages 18&#x02013;22 during 2017&#x02013;21</p><p id="P23"><bold>SOURCES</bold> Authors&#x02019; analysis of data from multiple sources in the Census Bureau Data Linkage Infrastructure; authors&#x02019; analysis of events during 2017&#x02013;21 among 3,400&#x02013;930,000 people (ages 18&#x02013;22) born during 1999&#x02013;2003 in Maryland, Michigan, North Carolina, and North Dakota. <bold>NOTES</bold> Only statistically significant model results are depicted in this figure (<italic toggle="yes">p</italic> &#x0003c; 0:05). SUD is substance use disorder. IPV is intimate partner violence.</p></caption><graphic xlink:href="nihms-2048547-f0001" position="float"/></fig><fig position="float" id="F2"><label>EXHIBIT 3</label><caption><p id="P24">Probability changes in socioeconomic disadvantages associated with cumulative adverse childhood experiences (ACEs) for people in 4 states who were ages 18&#x02013;22 during 2017&#x02013;21</p><p id="P25"><bold>SOURCES</bold> Authors&#x02019; analysis of data from multiple sources in the Census Bureau Data Linkage Infrastructure; Authors&#x02019; analysis of events during 2017&#x02013;2021 among 3,400&#x02013;930,000 people (ages 18&#x02013;22) born during 1999&#x02013;2003 in Maryland, Michigan, North Carolina, and North Dakota. <bold>NOTE</bold> Only statistically significant model results are depicted in this figure (<italic toggle="yes">p</italic> &#x0003c; 0:05).</p></caption><graphic xlink:href="nihms-2048547-f0002" position="float"/></fig><table-wrap position="float" id="T1" orientation="landscape"><label>EXHIBIT 1</label><caption><p id="P26">Sample characteristics, study of association between adverse childhood experiences (ACEs) and socioeconomic disadvantages, among people in 4 states who were ages 18&#x02013;22 during 2017&#x02013;21</p></caption><table frame="void" rules="none"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="left" valign="middle" rowspan="1" colspan="1">Measures</th><th align="left" valign="middle" rowspan="1" colspan="1">% or mean (SD)<sup><xref rid="TFN2" ref-type="table-fn">a</xref></sup></th><th align="left" valign="middle" rowspan="1" colspan="1">Sample size</th><th align="left" valign="middle" rowspan="1" colspan="1">Data sources</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Female, %</td><td align="left" valign="middle" rowspan="1" colspan="1">48.5</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Census Numident</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Race, %</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Census Bureau Best Race</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;White</td><td align="left" valign="middle" rowspan="1" colspan="1">69.3</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Black</td><td align="left" valign="middle" rowspan="1" colspan="1">21.1</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;AIAN</td><td align="left" valign="middle" rowspan="1" colspan="1">0.9</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Asian/NHPI</td><td align="left" valign="middle" rowspan="1" colspan="1">2.4</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Some other race</td><td align="left" valign="middle" rowspan="1" colspan="1">1.7</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Multiracial</td><td align="left" valign="middle" rowspan="1" colspan="1">4.7</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Ethnicity, %</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Census Bureau Best Race</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Hispanic</td><td align="left" valign="middle" rowspan="1" colspan="1">6.2</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Birth household</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Dual parent, %</td><td align="left" valign="middle" rowspan="1" colspan="1">80.8</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CHCK</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Household income, $</td><td align="left" valign="middle" rowspan="1" colspan="1">62,250 (154,200)</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">IRS 1040 2000</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental poverty, %</td><td align="left" valign="middle" rowspan="1" colspan="1">20.2</td><td align="left" valign="middle" rowspan="1" colspan="1">107,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Census 2000 SEDF</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental high school diploma, %</td><td align="left" valign="middle" rowspan="1" colspan="1">41.4</td><td align="left" valign="middle" rowspan="1" colspan="1">107,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Census 2000 SEDF</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental US citizenship, %</td><td align="left" valign="middle" rowspan="1" colspan="1">97.0</td><td align="left" valign="middle" rowspan="1" colspan="1">107,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Census 2000 SEDF</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental disability, %</td><td align="left" valign="middle" rowspan="1" colspan="1">14.1</td><td align="left" valign="middle" rowspan="1" colspan="1">107,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Census 2000 SEDF</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">ACEs by type, %</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental death</td><td align="left" valign="middle" rowspan="1" colspan="1">1.6</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Census Numident</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental separation</td><td align="left" valign="middle" rowspan="1" colspan="1">26.0</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">2010 census</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental incarceration</td><td align="left" valign="middle" rowspan="1" colspan="1">3.7</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CJARS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Witnessing IPV</td><td align="left" valign="middle" rowspan="1" colspan="1">1.0</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CJARS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Parental SUD</td><td align="left" valign="middle" rowspan="1" colspan="1">14.0</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CJARS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Physical or emotional abuse</td><td align="left" valign="middle" rowspan="1" colspan="1">0.5</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CJARS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Sexual abuse</td><td align="left" valign="middle" rowspan="1" colspan="1">1.7</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CJARS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">No. of ACEs, %</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;1</td><td align="left" valign="middle" rowspan="1" colspan="1">26.0</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Calculated</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;2&#x02013;3</td><td align="left" valign="middle" rowspan="1" colspan="1">9.6</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Calculated</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;4 or more</td><td align="left" valign="middle" rowspan="1" colspan="1">0.3</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Calculated</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Any</td><td align="left" valign="middle" rowspan="1" colspan="1">35.9</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">Calculated</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Young adult outcomes, %</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Felony charge</td><td align="left" valign="middle" rowspan="1" colspan="1">5.2</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CJARS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Teenage birth</td><td align="left" valign="middle" rowspan="1" colspan="1">2.0</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CHCK</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Poverty</td><td align="left" valign="middle" rowspan="1" colspan="1">16.9</td><td align="left" valign="middle" rowspan="1" colspan="1">23,000</td><td align="left" valign="middle" rowspan="1" colspan="1">ACS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Housing assistance</td><td align="left" valign="middle" rowspan="1" colspan="1">4.7</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">HUD PIC/TRACS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Medicaid enrollment</td><td align="left" valign="middle" rowspan="1" colspan="1">35.1</td><td align="left" valign="middle" rowspan="1" colspan="1">570,000</td><td align="left" valign="middle" rowspan="1" colspan="1">CMS T-MSIS</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Employment</td><td align="left" valign="middle" rowspan="1" colspan="1">79.2</td><td align="left" valign="middle" rowspan="1" colspan="1">930,000</td><td align="left" valign="middle" rowspan="1" colspan="1">IRS W-2</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Education enrollment</td><td align="left" valign="middle" rowspan="1" colspan="1">62.1</td><td align="left" valign="middle" rowspan="1" colspan="1">23,000</td><td align="left" valign="middle" rowspan="1" colspan="1">ACS</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><p id="P27"><bold>SOURCE</bold> Authors&#x02019; analysis of data from multiple sources in the Census Bureau Data Linkage Infrastructure; authors&#x02019; analysis of events during 2017&#x02013;21 among 23,000&#x02013;930,000 people (ages 18&#x02013;22) born during 1999&#x02013;2003 in Maryland, Michigan, North Carolina, and North Dakota. <bold>NOTES</bold> Percentages might not sum to 100 percent because of rounding. AIAN is American Indian or Alaska Native. NHPI is Native Hawaiian or other Pacific Islander. CHCK is Census Household Composition Key. IRS is Internal Revenue Service. SEDF is Sample Edited Detail File. CJARS is Criminal Justice Administrative Records System. IPV is intimate partner violence. SUD is substance use disorder. ACS is American Community Survey, 2017&#x02013;22. HUD PIC/TRACS is Department of Housing and Urban Development Longitudinal Public and Indian Housing Information Center/Tenant Rental Assistance Certification System. CMS T-MSIS is Centers for Medicare and Medicaid Services Transformed Medicaid Statistical Information System.</p></fn><fn id="TFN2"><label>a</label><p id="P28">All numbers in this column are percentages except for household income, which is dollars (mean and standard deviation).</p></fn></table-wrap-foot></table-wrap></floats-group></article>