Evidence map›Paper›PMID 28006983›Full record

ArticleAging & mental health2018

Social networks and alcohol use among older adults: a comparison with middle-aged adults.

Seungyoun Kim, Samantha L Spilman, Diana H Liao, Paul Sacco, Alison A Moore

Open access · greenAbstract read
In one paragraph

Article in Aging & mental health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.2field-weighted citation impact, top 33% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  3. Dark Side or Bright Side: The Impact of Alcohol Drinking on the Trust of Chinese Rural Residents.International journal of environmental research and public health · 2022
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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

5 authors at 3 institutions in 1 country.

Seungyoun Kima U CLA Integrated Substance Abuse Programs , University of California , Los Angeles , CA , USA.ORCID 0000-0001-5090-433X
Samantha L Spilmanb David Geffen School of Medicine , Division of Geriatrics, University of California , Los Angeles , CA , USA.
Diana H Liaob David Geffen School of Medicine , Division of Geriatrics, University of California , Los Angeles , CA , USA.
Paul Saccoc School of Social Work , University of Maryland , Baltimore , MD , USA.
Alison A Moored School of Medicine, Division of Geriatrics , University of California , San Diego , CA , USA.
University of California, Los Angeles · USUniversity of California San Diego · USUniversity of Maryland, Baltimore · US

Funding

The Center for Health Improvement of Minority ElderlyP30AG021684 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Homero Erwin del Pino · 2002 to 2026
$19.7M
UCLA OLDER AMERICANS INDEPENDENCE CENTERP30AG028748 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MOORE, ALISON AHERN · 2006 to 2017
$9.8M
UCLA DRUG ABUSE RESEARCH TRAINING PROGRAMT32DA007272 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GRELLA, CHRISTINE E · 1991 to 2017
$4.9M
Health Effects of Alcohol and Comorbidity in Older AdultsK24AA015957 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MOORE, ALISON AHERN · 2007 to 2017
$1.8M
NIAAA NIH HHS K24 AA015957NIA NIH HHS P30 AG021684NIA NIH HHS P30 AG028748NIDA NIH HHS T32 DA007272
6 · The paper itself

Abstract

objectivesThis study compared the association between social networks and alcohol consumption among middle-aged (MA) and older adults (OA) to better understand the nature of the relationship between those two factors among OA and MA.

methodWe examined Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions. Current drinkers aged over 50 were subdivided into two age groups: MA (50-64, n = 5214) and OA (65 and older, n = 3070). Each age group was stratified into drinking levels (low-risk vs. at-risk) based on alcohol consumption. The size and diversity of social networks were measured. Logistic regression models were used to examine age differences in the association between the social networks (size and diversity) and the probability of at-risk drinking among two age groups.

resultsA significant association between the social networks diversity and lower odds of at-risk drinking was found among MA and OA. However, the relationship between the diversity of social networks and the likelihood of at-risk drinking was weaker for OA than for MA. The association between social networks size and at-risk drinking was not significant among MA and OA.

conclusionThe current study suggests that the association between social networks diversity and alcohol use among OA differs from the association among MA, and few social networks were associated with alcohol use among OA. In the future, research should consider an in-depth exploration of the nature of social networks and alcohol consumption by using longitudinal designs and advanced methods of exploring drinking networks.

Indexed as

AgingAgedAge FactorsAlcohol DrinkingAlcoholismFemaleHealth SurveysHumansMaleMiddle AgedSocial NetworkingUnited Statesage differencesalcohol consumptionlife-span perspectiveSocial ties

Identifiers

PMID28006983
PMCPMC5523450
OpenAlexW2566413696

What OpenQuestion holds

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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.