Evidence map›Paper›PMID 39334145›Full record

ArticleBMC public health2024

Trends in prevalence of adverse childhood experiences by sociodemographic factors in the United States: Behavioral Risk Factor Surveillance System 2009-2022.

Shivani Kumar, Jennifer A Campbell, Xuemeng Wang, Yilin Xu, Sneha Nagavally, Leonard E Egede

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shivani KumarInternal Medicine Residency Program, Department of Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Jennifer A CampbellDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA. jcampbe@buffalo.edu.
Xuemeng WangDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Yilin XuDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
Sneha NagavallyCenter for Advancing Population Science, Medical College of Wisconsin, Milwaukee, WI, USA.
Leonard E EgedeDivision of Population Health, Department of Medicine, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.

Funding

HOME DM-BAT: Home-based Diabetes-Modified Behavioral Activation Treatment for Low Income Seniors with T2DM Diversity SupplementR01DK118038 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E. · 2019 to 2023
$3.5M
Financial Incentives And Nurse Coaching to Enhance Diabetes Outcomes (FINANCE-DM) - Diversity SupplementR01DK120861 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E. · 2019 to 2023
$3.4M
Lowering the Impact of Food insecurity in African American Adults with Type 2 Diabetes Mellitus (LIFT-DM) - Diversity SupplementR01MD013826 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI EGEDE, LEONARD E., WALKER, REBEKAH J · 2019 to 2023
$3.4M
Structural Racism and Disparities in Social Risk, Human Capital, Health Care Resources, and Health Outcomes: A Multi-level Analysis of Pathways and Policy Levers for ChangeR01MD017574 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.5M
Impact of structural racism on hospital/clinic closures, community assets, and health outcomes in urban communitiesR01MD018012 · NIMHD · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Leonard E. Egede, Sebastian Linde · 2023 to 2026
$2.4M
Conditional Cash Transfer Intervention to Improve Health Outcomes among Inner-City African Americans with T2DMK01DK131319 · NIDDK · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Jennifer Annette Campbell · 2022 to 2026
$682k
NIDDK NIH HHS K01 DK131319NIDDK NIH HHS K01DK131319NIDDK NIH HHS R01 DK118038NIDDK NIH HHS R01DK118038NIDDK NIH HHS R01 DK120861NIMHD NIH HHS R01 MD013826NIMHD NIH HHS R01MD013826NIMHD NIH HHS R01 MD017574NIMHD NIH HHS R01 MD018012
6 · The paper itself

Abstract

backgroundLimited data exists on trends in prevalence of adverse childhood experiences (ACE) at the national level and sociodemographic correlates of having ACEs. This study examined trends in ACE prevalence and sociodemographic correlates in US adults over 14 years using nationally representative data.

methodsData on 447,162 adults from the Behavioral Risk Factor Surveillance System (BRFSS) across four timepoints (2009-2010; 2011-2012; 2019-2020; 2021-2022) was analyzed and weighted for population estimates. The primary outcome was ACEs with 3 groups used (0 vs. 1 + ACEs; <4 vs. 4 + ACEs; 0 vs. 1 vs. 2 vs. 3 vs. 4 + ACEs). Sociodemographic factors included age, sex, race/ethnicity, employment, education, marital status, income and insurance status. Prevalence trends were examined by estimating prevalence of ACE groupings (0/1+; <4/4+; 0,1,2,3,4+) across the four timepoints and trend analysis was performed to determine if the differences over time were statistically significant. Unadjusted and adjusted prevalence ratios were estimated using log-binomial regression models with ACE groupings as the outcome and timepoints as the primary independent variable with sociodemographic factors as covariates.

resultsAcross the four time points, prevalence of ACEs was higher across groupings of ACEs by time. For ACEs 1+, prevalence was 62.2% (2009-2010); 62.2% (2011-2012); 64.5% (2019-2020); and 67.2% (2021-2022). For ACEs 4+, prevalence was 17.4% (2009-2010); 18.1% (2011-2012); 20.4% (2019-2020); and 22.6% (2021-2022). Prevalence of ACE 1 + was higher for older adults, Non-Hispanic Black adults, Non-Hispanic Other adults, and those with higher education. Prevalence of 4 + ACEs was higher for females, and lower for those with higher education and those with higher annual incomes.

conclusionThis study shows an increased prevalence of having ACEs over a 14-year period and identified independent sociodemographic correlates of having ACEs in a nationally representative study. Targeted interventions are needed to reduce burden of ACEs using population-based approaches.

Indexed as

Adverse Childhood ExperiencesBehavioral Risk Factor Surveillance SystemSociodemographic FactorsAdolescentAdultAgedFemaleHumansMaleMiddle AgedPrevalenceSocioeconomic FactorsUnited StatesYoung AdultAdultsAdverse childhood experiencesSociodemographic factorsTrends

Identifiers

PMID39334145
PMCPMC11438054

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.