Evidence map›Paper›PMID 32757773›Full record

ArticleAging & mental health2021

Alcohol use among older adults and health care utilization.

Cristina B Bares, Ariel Kennedy

Open access · greenAbstract read
In one paragraph

Article in Aging & mental health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Cristina B BaresSchool of Social Work, University of Michigan, Ann Arbor, Michigan, USA.
Ariel KennedySchool of Social Work, University of Michigan, Ann Arbor, Michigan, USA.
University of Michigan–Ann Arbor · US

Funding

Genetic Contributions to Smoking and Internalizing Problems in AdolescenceK01DA036681 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BARES, CRISTINA B. · 2014 to 2018
$755k
NIDA NIH HHS K01 DA036681
6 · The paper itself

Abstract

objectiveExaminations of the association between health care utilization and levels of alcohol use are lacking in nationally representative samples of older adults. The present study set out to fill this gap by demonstrating how various aspects of health care utilization are associated with alcohol use among older adults in the United States.

methodCross-sectional panel data from 11 years of the National Health and Interview Survey were used to examine prevalence and rates of alcohol use among older adults (

resultsAbout 70% of older adults (aged 65+; mean age = 74.1, SD = 0.04) had drunk alcohol in their lifetime, and 15.8% were current moderate or heavy drinkers. Results of an adjusted multinomial logistic regression revealed that individuals with any lifetime alcohol use had more recent health care visits and more office visits (but not current heavy users) than lifetime abstainers. Former alcohol users had more ER/ED visits but current moderate users at all levels had fewer ER/ED visits than lifetime abstainers, controlling for sex, race, educational attainment, marital status, and concurrent tobacco use.

conclusionOlder adults who have any history of alcohol use are more likely than abstainers to have had recent health care visits, more office visits, (but not moderate or heavy users), and less likely to have had an emergency department visit.

Indexed as

Alcohol DrinkingAlcoholismAgedCross-Sectional StudiesEmergency Service, HospitalHumansPatient Acceptance of Health CareUnited StatesAlcoholgeriatricshealth behaviorshealth care utilization

Identifiers

PMID32757773
PMCPMC7944403
OpenAlexW3046947692

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.