Evidence map›Paper›PMID 31785477›Full record

ArticleAddictive behaviors2020

High-intensity drinking by parental status: Differences by age and sex.

Megan E Patrick, Rebecca Evans-Polce, Anna C Wagner, Christopher J Mehus

Abstract read
In one paragraph

Article in Addictive behaviors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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.

Megan E PatrickInstitute for Translational Research in Children's Mental Health, University of Minnesota, Minneapolis, MN, USA; Institute of Child Development, University of Minnesota, Minneapolis, MN, USA. Electronic address: mpatrick@umn.edu.
Rebecca Evans-PolceCenter for the Study of Drugs, Alcohol, Smoking and Health, School of Nursing, University of Michigan, Ann Arbor, MI 48109, USA.
Anna C WagnerInstitute for Translational Research in Children's Mental Health, University of Minnesota, Minneapolis, MN, USA.
Christopher J MehusInstitute for Translational Research in Children's Mental Health, University of Minnesota, Minneapolis, MN, USA.

Funding

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 AA023504
6 · The paper itself

Abstract

aimsTo examine differences in high-intensity drinking (HID) by parental status, parent age, and parent sex, including two- and three-way interaction effects of these parent demographic categories.

methodsThe present study included individuals ages 18-50 from the National Epidemiologic Study of Alcohol and Related Conditions-III (2012-13), a sample of non-institutionalized adults in the US (N = 22,278). We calculated weighted estimates of past-year HID (≥10/≥8 standard drinks for men/women on a single occasion) for each parental status group (parents of young children <5, parents of children 5-17, not parents of children <18) overall and stratified by sex and stratified by age. We then examined the overall association of parental status and HID and tested for interactions of parental status × sex, parental status × age, and parental status × age × sex, while controlling for other relevant sociodemographic characteristics.

resultsPrevalence of HID varied considerably by parental status, with 14.84% of parents with kids under age 5, 12.72% of parents with kids 5 to 17, and 23.15% of non-parents reporting HID. The strength of the associations of parenthood and HID were strongest for females and for older parents.

conclusionsWhile parents engage in HID less than those who are not parents, a portion of parents of young and adolescent children do report heavy drinking. Younger parents and male parents, in particular, are at high risk for HID. Given the risks to children and parents, interventions focused on preventing HID among parents, especially fathers, could have significant public health impacts.

Indexed as

ParentsAdultAge FactorsBinge DrinkingFemaleHumansMaleMiddle AgedSex FactorsYoung Adult

Identifiers

PMID31785477
PMCPMC6934898

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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.