Evidence map›Paper›PMID 39742440›Full record

ArticleAlcohol, clinical & experimental research2025

Societal spirits in the silver streak: Unraveling complexity in drinking habits of the mature adult population.

Maarten W J van den Ende, René Freichel, Han L J van der Maas, Reinout W Wiers, Sacha Epskamp

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Article in Alcohol, clinical & experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper 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

5 authors.

Maarten W J van den EndeDepartment of Psychology, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands.ORCID https://orcid.org/0000-0002-1589-9341
René FreichelDepartment of Psychology, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands.
Han L J van der MaasDepartment of Psychology, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands.
Reinout W WiersDepartment of Psychology, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands.
Sacha EpskampDepartment of Psychology, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe complex interactions between an individual's drinking behavior and their social environment is crucial but understudied, particularly in mature adult populations. Our aim is to unravel these complexities by investigating how personal drinking patterns are related to those of one's social environment over time, and what the interplay is with personal factors such as occupational prestige and smoking behavior.

methodThe present study adopts an innovative graphical autoregressive (GVAR) panel network modeling approach to investigate the dynamics between personal drinking habits and social environmental factors, utilizing a comprehensive longitudinal dataset from the Framingham Heart Study with a large sample of predominantly mature adults (N = 1719-5718) connected within a social network. We explored both temporal and contemporaneous associations between individuals' drinking habits (self-reported), smoking behavior (self-reported), perceived job prestige (Treiman prestige score), and the drinking behaviors of their social environment. The latter consists of the proportion of abstaining, moderate drinking, and heavy drinking social connections of each subject.

resultsOur findings reveal significant associations between participants' behavior and that of their peers, with reciprocal interactions, substantiating the importance of the influence of one's social network for mature individuals. We found dynamic, reciprocal associations between an individual's drinking behavior and that of their peers, with periods of increased or decreased drinking correlating with increased connections to heavy drinkers or abstainers, respectively. In addition, when individuals drink more than usual, they also tend to consume more cigarettes, and vice versa.

conclusionsThe reciprocal feedback loops identified between an individual's drinking behavior and their social environment highlight the crucial role of social influences in shaping drinking behavior, including among older people. This emphasizes the need to consider social elements in the development of future theories, models, and interventions aimed at addressing problematic alcohol consumption in this vulnerable population.

Indexed as

addictionalcohol usegraphical autoregressive modelingolder adultsocial network

Identifiers

PMID39742440
PMCPMC11740162

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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.