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BACKGROUND: Although preventable, adverse childhood experiences (ACEs) can result in lifelong health harms. Current surveillance data on adults' exposure to ACEs are either unavailable or incomplete for many U.S. states. METHODS: Current estimates of the proportion of U.S. adults with past ACEs exposures were obtained by analysing individual-level data from 2019 to 2020 Behavioural Risk Factor Surveillance System-annual nationally representative survey of noninstitutionalized adults aged 18+years. Standardised questions measuring ACEs exposures (presence of household member with mental illness, substance abuse, or incarceration; parental separation; witnessing intimate partner violence; experiencing physical, emotional, or sexual abuse during childhood) were categorised into 0, 1, 2-3, or 4+ACEs and reported by sociodemographic group in each state. Missing ACEs responses (state did not offer ACEs questions or offered to only some respondents; respondent skipped questions) were modelled through multilevel mixed-effects logistic (MMEL) and jackknifed MMEL regressions. RESULTS: In 2019-2020, an estimated 62.8% of U.S. adults had past exposure to 1+ACEs (range: 54.9% in Connecticut; 72.5% in Maine), including 22.4% of adults who were exposed to 4+ACEs (range: 11.9% in Connecticut; 32.8% in Nevada). At the national and state levels, exposure to 4+ACEs was highest among adults aged 18-34 years, those who did not graduate from high school, or adults who did not have a healthcare provider. Racial/ethnic distribution of adults exposed to 4+ACEs varied by age and state. CONCLUSIONS: ACEs are common but not equally distributed. ACEs exposures estimated by state and sociodemographic group can help decisionmakers focus public health interventions on populations disproportionately impacted in their area.
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Experiencias Adversas de la Infancia , Sistema de Vigilancia de Factor de Riesgo Conductual , Humanos , Estados Unidos/epidemiología , Adulto , Femenino , Masculino , Experiencias Adversas de la Infancia/estadística & datos numéricos , Persona de Mediana Edad , Adulto Joven , Adolescente , AncianoRESUMEN
OBJECTIVES: We estimated the frequency and examined the characteristics of intimate partner homicide and related deaths in 16 US states participating in the National Violent Death Reporting System (NVDRS), a state-based surveillance system. METHODS: We used a combination of quantitative and qualitative methods to analyze NVDRS data from 2003 to 2009. We selected deaths linked to intimate partner violence for analysis. RESULTS: Our sample comprised 4470 persons who died in the course of 3350 intimate partner violence-related homicide incidents. Intimate partners and corollary victims represented 80% and 20% of homicide victims, respectively. Corollary homicide victims included family members, new intimate partners, friends, acquaintances, police officers, and strangers. CONCLUSIONS: Our findings, from the first multiple-state study of intimate partner homicide and corollary homicides, demonstrate that the burden of intimate partner violence extends beyond the couple involved. Systems (e.g., criminal justice, medical care, and shelters) whose representatives routinely interact with victims of intimate partner violence can help assess the potential for lethal danger, which may prevent intimate partner and corollary victims from harm.
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Víctimas de Crimen/estadística & datos numéricos , Bases de Datos Factuales , Homicidio/tendencias , Parejas Sexuales , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Niño , Preescolar , Femenino , Homicidio/estadística & datos numéricos , Humanos , Lactante , Masculino , Notificación Obligatoria , Persona de Mediana Edad , Estados Unidos/epidemiología , Adulto JovenRESUMEN
INTRODUCTION: Although adverse childhood experiences (ACEs) are associated with lifelong health harms, current surveillance data on exposures to childhood adversity among adults are either unavailable or incomplete for many states. In this study, recent data from a nationally representative survey were used to obtain the current and complete estimates of ACEs at the national and state levels. METHODS: Current, complete, by-state estimates of adverse childhood experiences were obtained by applying small area estimation technique to individual-level data on adults aged ≥18 years from 2019-2020 Behavioral Risk Factor Surveillance System survey. The standardized questions about childhood adversity included in the 2019-2020 survey allowed for obtaining estimates of ACE consistent across states. All missing responses to childhood adversity questions (states did not offer such questions or offered them to only some respondents; respondents skipped questions) were predicted through multilevel mixed-effects logistic small area estimation regressions. The analyses were conducted between October 2022 and May 2023. RESULTS: An estimated 62.8% of U.S. adults had past exposure to ACEs (range: 54.9% in Connecticut; 72.5% in Maine). Emotional abuse (34.5%) was the most common; household member incarceration (10.6%) was the least common. Sexual abuse varied markedly between females (22.2%) and males (5.4%). Exposure to most types of adverse childhood experiences was lowest for adults who were non-Hispanic White, had the highest level of education (college degree) or income (annual income ≥$50,000), or had access to a personal healthcare provider. CONCLUSIONS: Current complete estimates of ACEs demonstrate high countrywide exposures and stark sociodemographic inequalities in the burden, highlighting opportunities to prevent adverse childhood experiences by focusing social, educational, medical, and public health interventions on populations disproportionately impacted.
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Experiencias Adversas de la Infancia , Sistema de Vigilancia de Factor de Riesgo Conductual , Humanos , Experiencias Adversas de la Infancia/estadística & datos numéricos , Femenino , Masculino , Adulto , Estados Unidos/epidemiología , Persona de Mediana Edad , Adolescente , Adulto Joven , AncianoRESUMEN
Importance: Adverse childhood experiences (ACEs) are preventable, potentially traumatic events in childhood, such as experiencing abuse or neglect, witnessing violence, or living in a household with substance use disorder, mental health problems, or instability from parental separation or incarceration. Adults who had ACEs have more harmful risk behaviors and worse health outcomes; the economic burden associated with these issues is uncertain. Objective: To estimate the economic burden of ACE-associated health conditions among US adults. Design, Setting, and Participants: In this economic evaluation, regression models of cross-sectional survey data from the 2019-2020 Behavioral Risk Factor Surveillance System (BRFSS) and previous studies were used to estimate ACE population-attributable fractions (PAFs) (ie, the fraction of total cases associated with a specific exposure) for selected health outcomes (anxiety, arthritis, asthma, cancer, chronic obstructive pulmonary disease, depression, diabetes, heart disease, kidney disease, stroke, and violence) and risk factors (heavy drinking, illicit drug use, overweight and obesity, and smoking) among the 2019 US adult population. Adverse childhood experience PAFs were used to calculate the proportion of total condition-specific medical spending and lost healthy life-years related to ACEs using Global Burden of Disease Study data. Data analysis was performed from September 10, 2021, to November 29, 2022. Exposure: Adverse childhood experiences (age <18 years). Main Outcomes and Measures: Monetary valuation of ACE-associated morbidity and mortality using standard US value of statistical life methods and presented in terms of annual and lifetime per affected person and total population estimates at the national and state levels. Results: A total of 820 673 adults, representing 255 million individuals, participated in the BRFSS in 2019 and 2020. An estimated 160 million of the total 255 million US adult population (63%) had 1 or more ACE, associated with an annual economic burden of $14.1 trillion ($183 billion in direct medical spending and $13.9 trillion in lost healthy life-years). This was $88â¯000 per affected adult annually and $2.4 million over their lifetimes. The lifetime economic burden per affected adult was lowest in North Dakota ($1.3 million) and highest in Arkansas ($4.3 million). Twenty-two percent of adults had 4 or more ACEs and comprised 58% of the total economic burden-the estimated per person lifetime economic burden for those adults was $4.0 million. Conclusions and Relevance: In this cross-sectional analysis of the US adult population, the economic burden of ACE-related health conditions was substantial. The findings suggest that measuring the economic burden of ACEs can support decision-making about investing in strategies to improve population health.
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Experiencias Adversas de la Infancia , Adulto , Humanos , Niño , Adolescente , Estudios Transversales , Estrés Financiero , Violencia , AnsiedadRESUMEN
INTRODUCTION: Alternative measurement approaches for adverse childhood experiences (i.e., count score versus individual adverse childhood experiences measured dichotomously versus individual adverse childhood experiences measured ordinally) can alter the association between adverse childhood experiences and adverse outcomes. This could significantly impact the interpretation of adverse childhood experiences research. METHODS: Data were collected in 2018 (analyzed in 2020) via Amazon's Mechanical Turk and from people incarcerated in 4 correctional facilities (N=1,451). Included adverse childhood experience questions measured the following: physical, emotional, and sexual abuse; physical and emotional neglect; household mental illness, substance use, domestic violence, and incarceration; and exposure to community violence before age 18 years. A total of 19 measured outcomes spanned 4 domains of functioning: general functioning, substance use, psychopathology, and criminal behavior. RESULTS: Regression models using the count score explained the least amount of variance in outcomes, whereas multivariable regression models assessing adverse childhood experiences on a continuum explained the most variance. In many instances, the explained variance increased by 2-5 times across the predictive models. When comparing regression coefficients for multivariable regression models that measured adverse childhood experiences as binary versus ordinal, there were notable differences in the effect sizes and in which adverse childhood experiences predicted outcomes. Disparities in results were most pronounced among high-risk populations that experience a disproportionate amount of adverse childhood experiences. CONCLUSIONS: Alternative methods of measuring adverse childhood experiences can influence understanding of their true impact. These findings suggest that the deleterious effects of imprecise measurement methods may be most pronounced in the populations most at risk of adverse childhood experiences. For the sake of prevention, the measurement of adverse childhood experiences must evolve.