Evidence map›Paper›PMID 40295315›Full record

ArticleSocial psychiatry and psychiatric epidemiology2025

Combining family history and alcohol screening measures to identify emerging adults at risk of not being in education, employment, or training (NEET).

Julie E Brummer, Kirsten Søndergaard Frederiksen, Katherine J Karriker-Jaffe, Katie N Kim, Karen G Chartier

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

5 authors.

Julie E BrummerCentre for Alcohol and Drug Research, Aarhus BSS, Aarhus University, Campus Emdrup, Tuborgvej 164, Building A, 2nd Floor, 2400, Copenhagen NV, Denmark.ORCID http://orcid.org/0000-0002-4811-7430
Kirsten Søndergaard FrederiksenCentre for Alcohol and Drug Research, Aarhus BSS, Aarhus University, Bartholins Allé 10, Building 1322, 8000, Aarhus C, Denmark.ORCID http://orcid.org/0000-0001-8092-530X
Katherine J Karriker-JaffeCenter for Health Behavior & Implementation Science, RTI International, 2150 Shattuck Avenue, Suite 800, Berkeley, CA, 94704, USA.ORCID http://orcid.org/0000-0002-2019-0222
Katie N KimSchool of Social Work, Virginia Commonwealth University, 1000 Floyd Avenue, Richmond, VA, USA.ORCID http://orcid.org/0000-0002-3079-5567
Karen G ChartierSchool of Social Work and Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, 1000 Floyd Avenue, Richmond, VA, USA. kgchartier@vcu.edu.ORCID http://orcid.org/0000-0002-2410-2584

Funding

Supplement for Cloud Computing: Alcohol Use Disorder Treatment SimulationR01AA029812 · NIAAA · RESEARCH TRIANGLE INSTITUTE · PI Katherine J. Karriker-Jaffe · 2022 to 2026
$4.1M
NIAAA NIH HHS R01 AA029812NIH HHS R01AA029812
6 · The paper itself

Abstract

purposeBeing outside of the labor and education system during young adulthood, a status termed not in education, employment, or training (NEET), is a risk factor for later social and health outcomes. This study examined whether parental substance use (PSU) moderates the relationship between personal alcohol consumption and NEET. Such information may inform screening practices.

methodsParticipants included 2,940 respondents (15-25-year-olds) to a 2014 Danish national survey. In this historical cohort study, survey data were linked with register data on respondents' parents and follow-up register data on respondents' educational/employment status (2015-2018). The Alcohol Use Disorders Identification Test-Consumption (AUDIT-C) identified respondents with hazardous drinking. PSU was measured using survey and register data. Our outcome identified those who were NEET during 1 + years follow-up. Analyses included gender stratified multivariable logistic regressions.

resultsSurvey-based PSU was associated with higher odds of NEET (OR = 1.67, p <.001). An AUDIT-C + by survey PSU interaction was statistically significant for females (OR = 2.70, p =.007): AUDIT-C + females with survey PSU had higher odds of NEET than AUDIT-C + females without survey PSU. Results were similar using register PSU. For both genders, other parental factors (unemployment and psychiatric problems) were also associated with higher odds of NEET.

conclusionUsing family history (including unemployment, psychiatric problems, and substance use) may enhance screening to identify emerging adults at risk of adverse social outcomes. Survey- and register-based PSU were similarly associated with NEET, suggesting that asking emerging adults about their parents' substance use may be as informative as more objective measures of family risk.

Indexed as

Alcohol DrinkingAlcoholismChild of Impaired ParentsEducational StatusEmploymentParentsUnemploymentAdolescentAdultCohort StudiesDenmarkFemaleHumansMaleRisk FactorsSubstance-Related DisordersAlcohol screeningAUDIT-CEmerging adultsFamily historyNEETSubstance use

Identifiers

PMID40295315
PMCPMC12572071

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LicenceCC BY
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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.