Evidence map›Paper›PMID 22897634›Full record

ArticleAddiction (Abingdon, England)2013

Living in proximity of a bar and risky alcohol behaviours: a longitudinal study.

Jaana I Halonen, Mika Kivimäki, Marianna Virtanen, Jaana Pentti, S V Subramanian, Ichiro Kawachi, Jussi Vahtera

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. A Data-Driven Exploratory Analysis of the Alcohol-Harm Paradox in South-East Wales.International journal of environmental research and public health · 2026
    Article
  2. Article
  3. Social Influence and Problematic Drinking: Insights from the COVID-19 Pandemic.Clinical psychological science : a journal of the Association for Psychological Science · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Risky Substance Use Environments and Addiction: A New Frontier for Environmental Justice Research.International journal of environmental research and public health · 2016
    Review
  15. Lifestyle factors as predictors of nonadherence to statin therapy among patients with and without cardiovascular comorbidities.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2014 · on this map
    Observational
  16. Review
  17. Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jaana I HalonenFinnish Institute of Occupational Health in Kuopio, Turku, Helsinki, Finland. jaana.halonen@ttl.fi
Mika Kivimäki
Marianna Virtanen
Jaana Pentti
S V Subramanian
Ichiro Kawachi
Jussi Vahtera

Funding

Socio-economic status and heterogeneity in agingR01AG013196 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI MARMOT, MICHAEL G, SINGH-MANOUX, ARCHANA · 1996 to 2013
$3.5M
Socioeconomic gradient in CHD in early old ageR01HL036310 · NHLBI · UNIVERSITY OF LONDON · PI KIVIMAKI, MIKA J, MARMOT, MICHAEL G · 1986 to 2012
$3.1M
Health behaviors over the adult lifecourse and cognitive agingR01AG034454 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2009 to 2013
$1.5M
British Heart Foundation RG/07/008/23674Medical Research Council G0100222Medical Research Council G0902037Medical Research Council G19/35Medical Research Council G8802774Medical Research Council MR/K013351/1NHLBI NIH HHS R01 HL036310NHLBI NIH HHS R01HL036310NIA NIH HHS R01 AG013196NIA NIH HHS R01 AG034454NIA NIH HHS R01AG034454
6 · The paper itself

Abstract

aimsWe examined whether distance from home to the nearest bar, i.e. alcohol outlet permitting consumption on the premises, is associated with risky alcohol behaviours.

designCross-sectional and longitudinal study. SETTING AND

participantsThe cross-sectional data consisted of 78 858 and the longitudinal data of 54 778 Finnish Public Sector Study participants between 2000 and 2009 [mean follow-up 6.8 years (SD = 2.0)]. MEASUREMENTS: Distances from home to the nearest bar were calculated using Global Positioning System coordinates. The outcome variables were heavy alcohol use (drinking above the weekly guidelines) and extreme drinking occasions (passing out because of alcohol use). We used binomial logistic regression in cross-sectional analyses and in longitudinal mixed effects (between-individual) analyses. Conditional logistic regression was used in longitudinal fixed effects (within-individual) analyses.

findingsCross-sectionally, the likelihood of an extreme drinking occasion and heavy use was higher among those who resided <1 versus ≥ 1 km from a bar. Longitudinally, between individuals, a decrease from >1 km to ≤1 km in distance was weakly associated with an extreme drinking occasion [odds ratio (OR) 1.18, 95% confidence interval (CI) 0.98-1.41] and heavy use (1.12, 95% CI 0.97-1.29). Within-individual, the OR for becoming a heavy user was 1.17 (95% CI 1.02-1.34), per 1 km decrease in log-transformed continuous distance, the corresponding OR for an extreme drinking occasion was 1.03 (95% CI 0.89-1.18).

conclusionsMoving place of residence close to, or far from, a bar appears to be associated with a small corresponding increase or decrease in risky alcohol behaviour.

Indexed as

Risk-TakingAdultAlcohol DrinkingAlcoholic BeveragesCross-Sectional StudiesFemaleFinlandHumansLogistic ModelsLongitudinal StudiesMaleMiddle AgedResidence CharacteristicsRisk Factors

Identifiers

PMID22897634
PMCPMC3529803

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.