Evidence map›Paper›PMID 15727977›Full record

ArticleAmerican journal of public health2005

Longitudinal patterns and predictors of alcohol consumption in the United States.

Alison A Moore, Robert Gould, David B Reuben, Gail A Greendale, M Kallin Carter, Kefei Zhou, Arun Karlamangla

Open access · greenAbstract read
In one paragraph

Article in American journal of public health, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 3 pooled it
7.0field-weighted citation impact, top 2% 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

118 citing papers in PubMed, 3 syntheses or guidelines pooled it, 307 citations in OpenAlex.

  1. Disruption of circadian rhythms promotes alcohol use: a systematic review.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024
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58 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Alison A MooreDavid Geffen School of Medicine at UCLA, Division of Geriatrics, 10945 Le Conte Ave, Suite 2339, Los Angeles, CA 90095-1687, USA. aamoore@mednet.ucla.edu
Robert Gould
David B Reuben
Gail A Greendale
M Kallin Carter
Kefei Zhou
Arun Karlamangla
University of California, Los Angeles · US

Funding

MENTORED CLINICAL SCIENTIST DEVELOPMENT PROGRAMK12AG001004 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUBEN, DAVID B. · 2000 to 2009
$4.3M
NIA NIH HHS 1K12AG01004NIA NIH HHS K12 AG001004PHS HHS K2300270
6 · The paper itself

Abstract

objectivesWe examined demographic predictors of longitudinal patterns in alcohol consumption.

methodsWe used mixed-effects models to describe individual alcohol consumption and change in consumption with age, as well as the associations between consumption and birth year, national alcohol consumption, and demographic factors, among 14 105 adults from the National Health and Nutrition Examination Survey I Epidemiologic Follow-Up Study.

resultsAlcohol consumption declined with increasing age, and individual consumption mirrored national consumption. Higher consumption was associated with male gender, being White, being married, having a higher educational level, having a higher income, being employed, and being a smoker. Faster age-related decline in consumption was associated with earlier cohorts, being male, being married, having a lower educational level, and being a smoker.

conclusionsCompared with alcohol consumption among earlier cohorts, that among recent cohorts declined more slowly with increasing age, suggesting that negative health effects of alcohol could increase in the future.

Indexed as

AdultAgedAge DistributionAlcohol DrinkingCohort EffectEducational StatusEmploymentFemaleFollow-Up StudiesHumansIncomeLinear ModelsLongitudinal StudiesMaleMarital StatusMiddle Aged

Identifiers

PMID15727977
PMCPMC1449202
OpenAlexW2134064789

What OpenQuestion holds

Textmetadata
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.