The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Is ACEs Screening for Adolescent Mental Health Accurate and Fair?
Abstract
Increasingly, adversity-focused assessment tools are being introduced into preventive mental health screening protocols. However, few studies have explicitly examined whether use of these instruments serves as equitable, clinically useful measures of mental health risk in adolescents. In response, the present study examined whether an adverse childhood experiences (ACEs) measure was accurate and fair as an index of environmental risk for adolescent mental health diagnoses. Secondary data analyses were conducted on the National Comorbidity Survey-Adolescent Supplement. Adolescents (N = 10,148; Age Mean = 15.20; 51.3% male; 65.6% White, 15.1% Black, and 14.4% Hispanic) answered ten questions concerning childhood adversities and completed diagnostic interviews for PTSD, depression, and externalizing disorders. In the overall sample, ACEs showed some clinical utility (e.g., area under the curve (AUCs) ≥ 0.64), diagnostic likelihood ratios (DLRs) > 4.0) and acceptable calibration (i.e., expected/observed indices' confidence intervals included 1) across diagnoses. Within subpopulations, however, predictive validity varied. The AUCs were lower for multiple diagnoses in Black male and Hispanic female adolescents and DLRs suggested greater clinical utility for indexing mental health in White, female adolescents. Finally, models were not well-calibrated between adolescent subpopulations, suggesting recommended ACEs screening can potentially produce biased results when used to inform me…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
ACE screening may not be as accurate or fair in predicting poor mental health outcomes across different sociodemographic factors, including gender and ethnicity.
“ACEs screening has been found to have some clinical utility in predicting risk of poor mental health in adolescents, it may not be as accurate or fair in predicting poor mental health outcomes across different sociodemographic factors, including gender and ethnicity (Cohen & Choi, 2022).”
From Prospective Longitudinal Associations Between Adverse Childhood Experiences and Adult Mental Health Outcomes: Systematic Review and Meta-Analysis (2026) · cites this paper as Cohen & Choi, 2022
Citations
Cites
Felitti, V. J., Anda, R. F., Nordenberg, D., Williamson, D. F., Spitz, A. M., Edwards, V., Koss, M. P., & Marks, J. S. (1998) · American Journal of Preventive Medicine · doi:10.1016/s0749-3797(98)00017-8 · Cited by 18,943
Crenshaw, K. (2018) · Living with Contradictions · doi:10.4324/9780429499142-5 · Cited by 7,232
Hughes, K., Bellis, M. A., Hardcastle, K. A., Sethi, D., Butchart, A., Mikton, C., Jones, L., & Dunne, M. P. (2017) · The Lancet Public Health · doi:10.1016/s2468-2667(17)30118-4 · Cited by 5,255
Fair prediction with disparate impact: a study of bias in recidivism prediction instruments
Chouldechova, A. (2017) · Big Data · doi:10.1089/big.2016.0047 · Cited by 2,159
McLaughlin, K. A., Greif Green, J., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.2277 · Cited by 992 · cited 2×
“Difficulties of relying on ORs to test statistical fairness via moderation analyses within regression analyses may help explain the inconsistent pattern of findings concerning the relation between ACEs and mental health outcomes across demographic subpopulations (e.g., Alisic et al., 2014; Elkins et al., 2019; McLaugh…”
BackgroundMethodFairness in Criminal Justice Risk Assessments: The State of the Art
Berk, R., Heidari, H., Jabbari, S., Kearns, M., & Roth, A. (2021) · Sociological Methods & Research · doi:10.1177/0049124118782533 · Cited by 988 · cited 4×
“Statistical fairness can be defined as when a measure of risk reflects similar rates of accuracy across adolescent subpopulations (Berk et al., 2018).”
BackgroundMethodResultInfluentialLong-term medical consequences of incest, rape, and molestation
FELITTI, V. J. (1991) · Southern Medical Journal · doi:10.1097/00007611-199103000-00008 · Cited by 455
Adverse Childhood Experiences and Mental Health Conditions Among Adolescents
Bomysoad, R. N., & Francis, L. A. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2020.04.013 · Cited by 197
Flagged first, then by citations
Research works printed but not linked: 49
- Alisic, E., Zalta, A., Van Wesel, F., Larsen, S., Hafstad, G., Hassanpour, K., & Smid, G. (2014). Rates of post-traumatic stress disorder in trauma-exposed children and adolescents: Meta-analysis. British Journal of Psychiatry, 204, 335–340. https://doi.org/10.1192/bjp.bp.113.131227 · DOI · Paper page
- Anda, R. F., Porter, L. E., & Brown, D. W. (2020). Inside the adverse childhood experience score: Strengths, limitations, and misapplications. American Journal of Preventive Medicine, 59, 293–295. https://doi.org/10.1016/j.amepre.2020.01.009 · DOI · Paper page
- Baldwin, J. R., Caspi, A., Meehan, A. J., Ambler, A., Arseneault, L., Fisher, H. L., & Danese, A. (2021). Population vs individual prediction of poor health from results of adverse childhood experiences screening. JAMA Pediatrics, 175, 385–393. · DOI · Paper page
- Balistreri, K. S., & Alvira-Hammond, M. (2016). Adverse childhood experiences, family functioning and adolescent health and emotional well-being. Public Health, 132, 72–78. https://doi.org/10.1016/j.puhe.2015.10.034 · DOI
- Bernard, D. L., Calhoun, C. D., Banks, D. E., Halliday, C. A., Hughes-Halbert, C., Danielson, C. K. (2020). Making the “c-ACE” for a culturally-informed adverse childhood experiences framework to understand the pervasive mental health impact of racism on Black youth. Journal of Child & Adolescent Trauma, 1–15. https://doi.org/10.1007/s40653-020-00319-9 · DOI
- Bernard, D. L., Calhoun, C. D., Banks, D. E., Halliday, C. A., Hughes-Halbert, C., & Danielson, C. K. (2021). Making the “C-ACE” for a culturally-informed adverse childhood experiences framework to understand the pervasive mental health impact of racism on Black youth. Journal of Child & Adolescent Trauma, 14(2), 233–247. · DOI
- Brockie, T. N., Dana-Sacco, G., Wallen, G. R., Wilcox, H. C., & Campbell, J. C. (2015). The relationship of adverse childhood experiences to PTSD, depression, poly-drug use and suicide attempt in reservation-based Native American adolescents and young adults. American Journal of Community Psychology, 55, 411–421. https://doi.org/10.1007/s10464-015-9721-3 · DOI
- Cohen, J. R., So, F. K., Young, J. F., Hankin, B. L., & Lee, B. A. (2019a). Youth depression screening with parent and self-reports: Assessing current and prospective depression risk. Child Psychiatry & Human Development, 50, 647–660. https://doi.org/10.1007/s10578-019-00869-6 · DOI
- Cohen, J. R., Thakur, H., Burkhouse, K. L., & Gibb, B. E. (2019b). A multimethod screening approach for pediatric depression onset: An incremental validity study. Journal of Consulting and Clinical Psychology, 87, 184–197. https://doi.org/10.1037/ccp0000364 · DOI
- Cohen, J. R., Thakur, H., Young, J. F., & Hankin, B. L. (2020). The development and validation of an algorithm to predict future depression onset in unselected youth. Psychological Medicine, 50, 2548–2556. https://doi.org/10.1017/S0033291719002691 · DOI
- Dube, S. R. (2018). Continuing conversations about adverse childhood experiences (ACEs) screening: A public health perspective. Child Abuse & Neglect, 85, 180–184. https://doi.org/10.1016/j.chiabu.2018.03.007 · DOI
- Elkins, J., Briggs, H. E., Miller, K. M., Kim, I., Orellana, R., & Mowbray, O. (2019). Racial/ethnic differences in the impact of adverse childhood experiences on posttraumatic stress disorder in a nationally representative sample of adolescents. Child and Adolescent Social Work Journal, 36, 449–457. https://doi.org/10.1007/s10560-018-0585-x · DOI
- Felitti, V. J., Anda, R. F., Nordenberg, D., & Williamson, D. F. (1998a). Adverse childhood experiences and health outcomes in adults: The Ace study. Journal of Family and Consumer Sciences, 90(3), 31. · DOI
- Finkelhor, D. (2018). Screening for adverse childhood experiences (ACEs): Cautions and suggestions. Child Abuse & Neglect, 85, 174–179. https://doi.org/10.1016/j.chiabu.2017.07.016 · DOI
- Fripp, J. A., & Carlson, R. G. (2017). Exploring the influence of attitude and stigma on participation of African American and Latino populations in mental health services. Journal of Multicultural Counseling and Development, 45, 80–94. https://doi.org/10.1002/jmcd.1206 · DOI
- Green, J. G., Gruber, M. J., Kessler, R. C., Lin, J. Y., Mclaughlin, K. A., Sampson, N. A., Zaslavsky, A. M., & Alegria, M. (2012). Diagnostic validity across racial and ethnic groups in the assessment of adolescent DSM-IV disorders. International Journal of Methods in Psychiatric Research, 21, 311–320. https://doi.org/10.1002/mpr.1371 · DOI
- Green, J. G., McLaughlin, K. A., Berglund, P. A., Gruber, M. J., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2010). Childhood adversities and adult psychiatric disorders in the national comorbidity survey replication I: Associations with first onset of DSM-IV disorders. Archives of General Psychiatry, 67, 113–123. https://doi.org/10.1001/archgenpsychiatry.2009.186 · DOI · Paper page
- Hanson, R. K. (2017). Assessing the calibration of actuarial risk scales: A primer on the E/O index. Criminal Justice and Behavior, 44(1), 26–39. · DOI
- Harrell, F. E. (2001). Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis (Vol. 608). New York: springer. · DOI
- Hudziak, J. J., Copeland, W., Stanger, C., & Wadsworth, M. (2004). Screening for DSM-IV externalizing disorders with the Child Behavior Checklist: A receiver operating characteristic analysis. Journal of Child Psychology and Psychiatry, 45, 1299–1307. https://doi.org/10.1111/j.1469-7610.2004.00314.x · DOI
- Humphreys, K. L., LeMoult, J., Wear, J. G., Piersiak, H. A., Lee, A., & Gotlib, I. H. (2020). Child maltreatment and depression: A meta-analysis of studies using the Childhood Trauma Questionnaire. Child Abuse & Neglect, 102, 104361. https://doi.org/10.1016/j.chiabu.2020.104361 · DOI
- Infurna, M. R., Reichl, C., Parzer, P., Schimmenti, A., Bifulco, A., & Kaess, M. (2016). Associations between depression and specific childhood experiences of abuse and neglect: A meta-analysis. Journal of Affective Disorders, 190, 47–55. https://doi.org/10.1016/j.jad.2015.09.006 · DOI
- Kessler, R. C., & Üstün, T. B. (2004). The world mental health (WMH) survey initiative version of the world health organization (WHO) composite international diagnostic interview (CIDI). International Journal of Methods in Psychiatric Research, 13, 93–121. https://doi.org/10.1002/mpr.168 · DOI · Paper page
- Kessler, R. C., Avenevoli, S., Costello, E. J., Green, J. G., .Zaslavsky, A. M. (2009). National comorbidity survey replication adolescent supplement (NCS-A): II. Overview and design. Journal of the American Academy of Child & Adolescent Psychiatry, 48(4), 380–385. https://doi.org/10.1097/CHI.0b013e3181999705 · DOI
- Leffler, J. M., Riebel, J., & Hughes, H. M. (2015). A review of child and adolescent diagnostic interviews for clinical practitioners. Assessment, 22, 690–703. https://doi.org/10.1177/1073191114561253 · DOI
- Lindhiem, O., Petersen, I. T., Mentch, L. K., & Youngstrom, E. A. (2020). The importance of calibration in clinical psychology. Assessment, 27, 840–854. https://doi.org/10.1177/1073191117752055 · DOI
- López, C. M., Andrews, A. R., III., Chisolm, A. M., De Arellano, M. A., Saunders, B., & Kilpatrick, D. (2017). Racial/ethnic differences in trauma exposure and mental health disorders in adolescents. Cultural Diversity and Ethnic Minority Psychology, 23, 382. https://doi.org/10.1037/cdp0000126 · DOI
- Marie-Mitchell, A., Studer, K. R., & O’Connor, T. G. (2016). How knowledge of adverse childhood experiences can help pediatricians prevent mental health problems. Families, Systems, & Health, 34, 128–135. https://doi.org/10.1037/fsh0000179 · DOI
- Matchinger, E. L., Lieberman, A., & Lightfoot, M. (2021). Research, practice, and policy implications of Adverse Childhood Events. JAMA Pediatrics. https://doi.org/10.1001/jamapediatrics.2021.0810 · DOI
- McFall, R. M., & Treat, T. A. (1999). Quantifying the information value of clinical assessments with signal detection theory. Annual Review of Psychology, 50, 215–241. https://doi.org/10.1146/annurev.psych.50.1.215 · DOI
- McLennan, J. D., MacMillan, H. L., & Afifi, T. O. (2020). Questioning the use of adverse childhood experiences (ACEs) questionnaires. Child Abuse & Neglect, 101, 104331. https://doi.org/10.1016/j.chiabu.2019.104331 · DOI
- Meehan, A. J., Baldwin, J. R., Lewis, S. J., MacLeod, J. G., & Danese, A. (2022). Poor individual risk classification from adverse childhood experiences screening. American Journal of Preventive Medicine, 62, 427–432. https://doi.org/10.1016/j.amepre.2021.08.008 · DOI
- Merikangas, K. R., Avenevoli, S., Costello, E. J., Koretz, D., & Kessler, R. C. (2009). National comorbidity survey replication adolescent supplement (NCS-A): I. Background and measures. Journal of the American Academy of Child & Adolescent Psychiatry, 48(4), 367–379. https://doi.org/10.1097/CHI.0b013e31819996f1 · DOI
- Merikangas, K. R., He, J. P., Burstein, M., Swendsen, J., Avenevoli, S., Case, B., Georgiades, K., Heaton, L., Swanson, S., & Olfson, M. (2011). Service utilization for lifetime mental disorders in US adolescents: Results of the National Comorbidity Survey-Adolescent Supplement (NCS-A). Journal of the American Academy of Child & Adolescent Psychiatry, 50, 32–45. https://doi.org/10.1016/j.jaac.2010.10.006 · DOI · Paper page
- Nanni, V., Uher, R., & Danese, A. (2012). Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: A meta-analysis. American Journal of Psychiatry, 169, 141–151. https://doi.org/10.1176/appi.ajp.2011.11020335 · DOI · Paper page
- Negriff, S. (2020). ACEs are not equal: Examining the relative impact of household dysfunction versus childhood maltreatment on mental health in adolescence. Social Science & Medicine, 245, 112696. https://doi.org/10.1016/j.socscimed.2019.112696 · DOI
- Pepe, M. S., Janes, H., Longton, G., Leisenring, W., & Newcomb, P. (2004). Limitations of the odds ratio in gauging the performance of a diagnostic, prognostic, or screening marker. American Journal of Epidemiology, 159, 882–890. https://doi.org/10.1093/aje/kwh101 · DOI · Paper page
- Petruccelli, K., Davis, J., & Berman, T. (2019). Adverse childhood experiences and associated health outcomes: A systematic review and meta-analysis. Child Abuse & Neglect, 97, 104127. https://doi.org/10.1016/j.chiabu.2019.104127 · DOI
- Racine, N., Killam, T., & Madigan, S. (2020). Trauma-informed care as a universal precaution: Beyond the adverse childhood experiences questionnaire. JAMA Pediatrics, 174, 5–6. https://doi.org/10.1001/jamapediatrics.2019.3866 · DOI
- Salcedo, S., Chen, Y. L., Youngstrom, E. A., Fristad, M. A., Gadow, K. D., Horwitz, S. M., & Findling, R. L. (2018). Diagnostic efficiency of the Child and Adolescent Symptom Inventory (CASI-4R) depression subscale for identifying youth mood disorders. Journal of Clinical Child & Adolescent Psychology, 47(5), 832–846. https://doi.org/10.1080/15374416.2017.12808 · DOI
- Straus, S., Glasziou, P., Richardson, W., & Haynes, R. (2019). Evidence-based medicine : How to practice and teach EBM (5th edition.). Elsevier.
- Turner, H. A., Finkelhor, D., Mitchell, K. J., Jones, L. M., & Henly, M. (2020). Strengthening the predictive power of screening for adverse childhood experiences (ACEs) in younger and older children. Child Abuse & Neglect, 107, 104522. https://doi.org/10.1016/j.chiabu.2020.104522 · DOI
- Turner, H. A., Finkelhor, D., & Ormrod, R. (2010). Poly-victimization in a national sample of children and youth. American Journal of Preventive Medicine, 38(3), 323–330. · DOI
- Underwood, E. (2020). Screen for childhood trauma triggers debate. Science (New York, N.Y.), 367(6477), 498. https://doi.org/10.1126/science.367.6477.498 · DOI
- Wade, R., Shea, J. A., Rubin, D., & Wood, J. (2014). Adverse childhood experiences of low-income urban youth. Pediatrics, 134, e13–e20. https://doi.org/10.1542/peds.2013-2475 · DOI
- Widom, C. S., Czaja, S., Wilson, H. W., Allwood, M., & Chauhan, P. (2013). Do the long-term consequences of neglect differ for children of different races and ethnic backgrounds? Child Maltreatment, 18, 42–55. https://doi.org/10.1177/1077559512460728 · DOI · Paper page
- You, D. S., Youngstrom, E. A., Feeny, N. C., Youngstrom, J. K., & Findling, R. L. (2017). Comparing the diagnostic accuracy of five instruments for detecting posttraumatic stress disorder in youth. Journal of Clinical Child & Adolescent Psychology, 46, 511–522. https://doi.org/10.1080/15374416.2015.1030754 · DOI
- Youngstrom, E. A. (2014). A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: We are ready to ROC. Journal of Pediatric Psychology, 39, 204–221. https://doi.org/10.1093/jpepsy/jst062 · DOI
- Zink, D., Lee, B., & Allen, D. (2015). Structured and semistructured clinical interviews available for use among African American clients: Cultural considerations in the diagnostic interview process. In Guide to psychological assessment with African Americans (pp. 19–42). Springer, New York, NY. · DOI
Cited by
Sorted by citations
Thurston, C., Murray, A. L., Franchino-Olsen, H., Silima, M., Hemady, C. L., & Meinck, F. (2026) · Trauma, Violence, & Abuse · doi:10.1177/15248380251358223 · Cited by 25
“clinical utility in predicting risk of poor mental health in adolescents, it may not be as accurate or fair in predicting poor mental health outcomes across different sociodemo-graphic factors, including gender and ethnicity (Cohen & Choi, 2022).”
Metadata
- Authors
- Cohen, J. R., & Choi, J. W.
- Affiliations
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Cohen, Joseph R.
- Venue
- Prevention Science
- Published
- 2022-07-01
- Volume
- 23
- Issue
- 7
- Pages
- 1216-1229
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- OpenAlex
- W4283739280
- Cited by
- 15
- References
- 8
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 3 · 2023: 1 · 2022: 1
- FWCI
- 2.74
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Prevention Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute of Justice (2018-R2-CX-0022)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Sociology and Political Science › Child Welfare and Adoption
- Keywords
- adverse childhood experiences, mental health screening, adolescents, predictive validity, diagnostic likelihood ratios, calibration, post-traumatic stress disorder, depression, externalizing disorders, racial and ethnic disparities, mental health prevention
- MeSH terms
- Adolescent Health, Adverse Childhood Experiences, Adolescent, Female, Hispanic or Latino, Humans, Male, Mental Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review