Evidence map›Paper›PMID 32683202›Full record

ArticleChild abuse & neglect2020

Adverse childhood experiences (ACEs) and transitions in stages of alcohol involvement among US adults: Progression and regression.

Anika A H Alvanzo, Carla L Storr, Beth Reboussin, Kerry M Green, Ramin Mojtabai, Lareina N La Flair, Bernadette A Cullen, Ryoko Susukida, Marissa Seamans, Rosa M Crum

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Child abuse & neglect, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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

10 authors at 6 institutions in 1 country.

Anika A H AlvanzoDivisions of General Internal Medicine and Addiction Medicine, Johns Hopkins University School of Medicine, 5200 Eastern Avenue, MFL- East Tower, Room E650, Baltimore, MD, 21224, USA. Electronic address: aalvanzo.ucg@gmail.com.
Carla L StorrDepartment of Family and Community Health, University of Maryland School of Nursing, Baltimore, MD, 21201, USA; Department of Mental Health, Johns Hopkins Bloomberg School of Public Health Baltimore, MD, 21205, USA.
Beth ReboussinDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Kerry M GreenDepartment of Behavioral and Community Health, University of Maryland School of Public Health, College Park, MD, 20742, USA.
Ramin MojtabaiDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health Baltimore, MD, 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Lareina N La FlairResearch and Data Analysis Division, Washington State Department of Social and Health Services Olympia, WA, 98501, USA.
Bernadette A CullenDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health Baltimore, MD, 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA.
Ryoko SusukidaDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health Baltimore, MD, 21205, USA.
Marissa SeamansDepartment of Epidemiology, UCLA Fielding School of Public Health Los Angeles, CA, 90025, USA.
Rosa M CrumDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health Baltimore, MD, 21205, USA; Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health Baltimore, MD, 21205, USA.
Johns Hopkins Medicine · USJohns Hopkins University · USUCLA Health · USUniversity of Maryland, College Park · USWake Forest University · USWashington Department of Social and Health Services · US

Funding

NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Susan W Parker · 2018 to 2026
$3.9M
Comorbid Patterns with Alcohol Use DisordersR01AA016346 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI CRUM, ROSA M. · 2009 to 2019
$2.8M
An Examination of the Joint Contributions of Socioeconomic Disadvantage, Genetics, and COVID-19 on the Development of Delay Discounting and Substance Use Across AdolescenceR01DA057552 · NIDA · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI JULIA W FELTON, Brion S Maher · 2022 to 2026
$1.8M
Treatment Patterns and Barriers in Comorbid Mental and Substance DisordersR01DA030460 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOJTABAI, RAMIN · 2010 to 2012
$723k
NIAAA NIH HHS R01 AA016346NICHD NIH HHS P2C HD041041NIDA NIH HHS R01 DA030460NIDA NIH HHS R01 DA057552NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

backgroundAdverse childhood experiences (ACEs) are associated with a number of medical comorbidities. However, there is a paucity of data on the role ACEs play in transitions in stages of alcohol involvement.

objectiveTo examine the association between ACEs and transitions in alcohol problems progression and regression between No Problems, Moderate Problems and Severe Problems stages. PARTICIPANTS AND

settingData from 14,363 male and 19,774 female participants in Waves 1 and 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC).

methodsWe used latent transition analysis (LTA) with propensity score adjustment to estimate the odds of transitioning across stages of alcohol involvement, between waves, based on the number of types of ACEs experienced. We hypothesized that ACEs would be associated with increased risk of progression and decreased risk of regression.

resultsACEs were associated with progression to higher alcohol involvement stages, with greatest likelihood of progression from No Problems to Severe Problems for those reporting ≥3 ACEs (males: aOR = 4.78 [CI (1.84-12.44)]; females: aOR = 3.81 [CI (1.69-8.57)]). ACEs were also associated with decreased odds of regression to less problematic alcohol involvement stages, with some distinctive patterns of associations in males and in females.

conclusionsThis study suggests that ACEs impact transitions in alcohol involvement in both males and females, affecting both progression and regression. The association is magnified for those with multiple types of ACE exposures. These results highlight the need for prevention, early identification and intervention to mitigate the risks associated with childhood maltreatment.

Indexed as

Disease ProgressionAdolescentAdultAdverse Childhood ExperiencesAlcohol-Related DisordersChildComorbidityFemaleHumansMaleMiddle AgedProspective StudiesUnited StatesYoung AdultAdverse childhood experiencesAlcoholChildhood maltreatmentLatent class analysisLatent transition analysis

Identifiers

PMID32683202
PMCPMC7968748
OpenAlexW3042365677

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.