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Prevalence of adverse childhood experiences among U.S. adults—Behavioral Risk Factor Surveillance System, 2011–2020.
Open accessAbstract
Adverse childhood experiences (ACEs) are defined as preventable, potentially traumatic events that occur among persons aged <18 years and are associated with numerous negative outcomes; data from 25 states indicate that ACEs are common among U.S. adults (1). Disparities in ACEs are often attributable to social and economic environments in which some families live (2,3). Understanding the prevalence of ACEs, stratified by sociodemographic characteristics, is essential to addressing and preventing ACEs and eliminating disparities, but population-level ACEs data collection has been sporadic (1). Using 2011-2020 Behavioral Risk Factor Surveillance System (BRFSS) data, CDC provides estimates of ACEs prevalence among U.S. adults in all 50 states and the District of Columbia, and by key sociodemographic characteristics. Overall, 63.9% of U.S. adults reported at least one ACE; 17.3% reported four or more ACEs. Experiencing four or more ACEs was most common among females (19.2%), adults aged 25-34 years (25.2%), non-Hispanic American Indian or Alaska Native (AI/AN) adults (32.4%), non-Hispanic multiracial adults (31.5%), adults with less than a high school education (20.5%), and those who were unemployed (25.8%) or unable to work (28.8%). Prevalence of experiencing four or more ACEs varied substantially across jurisdictions, from 11.9% (New Jersey) to 22.7% (Oregon). Patterns in prevalence of individual and total number of ACEs varied by jurisdiction and sociodemographic characteristics, reinforcing the importance of jurisdiction and local collection of ACEs data to guide targeted prevention and decrease inequities. CDC has released prevention resources, including Preventing Adverse Childhood Experiences: Leveraging the Best Available Evidence, to help provide jurisdictions and communities with the best available strategies to prevent violence and other ACEs, including guidance on how to implement those strategies for maximum impact (4-6).
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“Approximately two thirds of U.S. adults have experienced at least one ACE and 17% of U.S. adults have experienced four or more ACEs (4).”
From Adverse childhood experiences and health conditions and risk behaviors among high school students—Youth Risk Behavior Survey, United States, 2023 (2024) · cites this paper as [4]
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Metadata
- Authors
- Swedo, E. A., Aslam, M. V., Dahlberg, L. L., Niolon, P. H., Guinn, A. S., Simon, T. R., & Mercy, J. A.
- Corresponding author
- Swedo, Elizabeth A.
- Venue
- MMWR Morbidity and Mortality Weekly Report
- Published
- 2023-06-30
- Volume
- 72
- Issue
- 26
- Pages
- 707-715
- ISSN
- 0149-2195 (ISSN-L)
- 1545-861X
- PMC
- PMC10328489
- OpenAlex
- W4382632554
- Cited by
- 386
- References
- 7
- Citations by year
- 2026: 146 · 2025: 147 · 2024: 86 · 2023: 7
- FWCI
- 112.53
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- MMWR Morbidity and Mortality Weekly Report (publishedVersion)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Funders
- State of Connecticut Department of Public Health
- Louisiana Department of Health
- Centers for Disease Control and Prevention
- National Center for Chronic Disease Prevention and Health Promotion
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child Abuse and Trauma
- Social Sciences › Sociology and Political Science › Child Welfare and Adoption
- Social Sciences › Health › Intimate Partner and Family Violence
- Keywords
- adverse childhood experiences, prevalence, sociodemographic disparities, American Indian and Alaska Native adults, unemployment, educational attainment, sex differences, state-level variation, Behavioral Risk Factor Surveillance System
- MeSH terms
- Adverse Childhood Experiences, Adult, Female, Humans, Violence, Prevalence, Behavioral Risk Factor Surveillance System
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 ›
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