Evidence map›Paper›PMID 38245964›Full record

ArticleDrug and alcohol dependence2024

Negative consequences associated with daily alcohol use as a nonlinear function of number of drinks in a daily diary study.

Rebecca J Evans-Polce, Jennifer L Maggs, Stephanie T Lanza, Megan E Patrick

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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

4 authors.

Rebecca J Evans-PolceDepartment of Health Behavior and Biological Sciences, University of Michigan School of Nursing, 400 North Ingalls Building, Ann Arbor, MI 48109-5482, United States; Institute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI 48106-1248, United States. Electronic address: bjevans@umich.edu.
Jennifer L MaggsHuman Development and Family Studies, The Pennsylvania State University, University Park, PA 16802, United States.
Stephanie T LanzaBiobehavioral Health, The Pennsylvania State University, University Park, PA 16802, United States.
Megan E PatrickInstitute for Social Research, University of Michigan, 426 Thompson St., Ann Arbor, MI 48106-1248, United States.

Funding

Monitoring the Future: Drug Use & Lifestyles of American Youth (Supp1: Nicotine Pouch and E-cigarette Use Among US Adolescents: National Estimates of Brand Use and Flavor Preferences)R01DA001411 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Richard A Miech · 1985 to 2026
$144.9M
Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19-65 - Diversity Supplement (Solberg)R01DA016575 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Megan E. Patrick · 2003 to 2026
$44.6M
High-intensity drinking and related consequences: Daily data from a national sample aged 19 to 22R01AA023504 · NIAAA · UNIVERSITY OF MINNESOTA · PI PATRICK, MEGAN E. · 2015 to 2022
$3.5M
NIAAA NIH HHS R01 AA023504NIDA NIH HHS R01 DA001411NIDA NIH HHS R01 DA016575
6 · The paper itself

Abstract

introductionDrinking intensity among young adults is associated with greater negative alcohol-related consequences, but often studied using categorical drinking thresholds. This study examined how alcohol-related consequences varied as a continuous function of number of drinks consumed, without imposing thresholds, to identify drink ranges for which risk is greatest.

methodsAnalyses included daily surveys from the Young Adult Daily Life study (2019-22) in which individuals reported drinking 1 or more alcoholic drinks (n=5219 days; 832 individuals). Time-varying effect models estimated total number of negative alcohol-related consequences and five individual consequences (hangover, drank more than planned, nausea/vomiting, did something embarrassing, blacked out) as a function of the number of drinks consumed among young adult males and females.

resultsOften, increases in the number and prevalence of negative consequences were a nonlinear function of the number of drinks consumed. Females reported few negative consequences on 1-to-3-drink occasions but steep increases in consequences on 4-to-9-drink occasions. Among females, the prevalence of blacking out increased six-fold from 4-drink (3.4%; 95% CI=2.6,4.7) to 9-drink occasions (20.6%; 95% CI=16.1,26.1). Among males, the prevalence of some consequences, while not linear, increased across the full drink range. Blacking out among males increased from 9.6% (95% CI=6.2,14.7) on 10-drink occasions to 23.9% (95% CI=15.0,35.8) on 15-drink occasions.

conclusionsSubstantial heterogeneity is missed when typical drinking categories are used. In particular, variability in consequences across levels of the traditional binge drinking category suggests that important differences in risk may be missed when assessed as a uniform category.

Indexed as

Alcohol DrinkingAlcoholic IntoxicationAlcoholic BeveragesEthanolFemaleHumansMaleSurveys and QuestionnairesYoung AdultEthanolAlcohol useHigh-intensity drinkingNegative alcohol consequencesSex differencesTime-varying effect modelsYoung adults

Identifiers

PMID38245964
PMCPMC11862988

What OpenQuestion holds

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Registered trials

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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.