Evidence map›Paper›PMID 29544120›Full record

ArticleDrug and alcohol dependence2018

Educational differences in alcohol consumption and heavy drinking: An age-period-cohort perspective.

Camillia K Lui, William C Kerr, Nina Mulia, Yu Ye

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact, top 100% 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

30 citing papers in PubMed, 0 citations in OpenAlex.

  1. Observational
  2. A Data-Driven Exploratory Analysis of the Alcohol-Harm Paradox in South-East Wales.International journal of environmental research and public health · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Social disparities in alcohol consumption among Canadian emerging adults.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Article
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

4 authors at 2 institutions in 1 country.

Camillia K LuiAlcohol Research Group, Public Health Institute, 6001 Shellmond St. Suite 450, Emeryville, CA, 94608, USA. Electronic address: clui@arg.org.
William C KerrAlcohol Research Group, Public Health Institute, 6001 Shellmond St. Suite 450, Emeryville, CA, 94608, USA.
Nina MuliaAlcohol Research Group, Public Health Institute, 6001 Shellmond St. Suite 450, Emeryville, CA, 94608, USA.
Yu YeAlcohol Research Group, Public Health Institute, 6001 Shellmond St. Suite 450, Emeryville, CA, 94608, USA.
Public Health Institute · USAlcohol Research Group · US

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI MARTINEZ, PRISCILLA · 1985 to 2025
$34.1M
GRADUATE RESEARCH TRAINING ON ALCOHOL PROBLEMST32AA007240 · NIAAA · UNIVERSITY OF CALIFORNIA BERKELEY · PI William C. Kerr · 1985 to 2026
$7.5M
NIAAA NIH HHS P50 AA005595NIAAA NIH HHS T32 AA007240
6 · The paper itself

Abstract

backgroundLow socioeconomic status (SES) has been associated with lower alcohol consumption, but also with heavier drinking. To explain this contradictory relationship, we examined SES differences in drinking patterns from an age-period-cohort (APC) perspective.

methodsData are from seven waves of the U.S. National Alcohol Surveys from 1979 to 2010. As a proxy for SES, educational attainment was used. Past-year alcohol volume was calculated from frequency (never-to-every day) and usual quantity (1-2, 3-4, or 5-6 drinks). Past-year frequency of heavy episodic drinking was labelled as total days of 5+ drinks. Gender-stratified APC fixed-effects models were conducted controlling for demographics and adjusting for survey design and weights.

resultsSignificant APC effects by education were found, but the direction varied by alcohol measure. Education and total volume were positively associated across APC. Cross-over effects for age occurred with a positive education-heavy drinking relationship in young adulthood and negative relationship in mid-adulthood. Cohort-by-education effects showed greater heavy drinking among less educated women in 1956-60 cohort and more educated men and women in younger cohorts (post-1976).

conclusionsHigher SES is consistently associated with total volume across age, period, and cohort, but less consistently with heavy drinking. While there are currently significant intervention efforts to reduce heavy drinking in young adulthood, our study suggests the need for age-specific strategies targeting lower-SES groups in mid-adulthood and cohort-specific strategies for lower-SES women in the baby boomer cohort and higher-SES men and women in younger birth cohorts.

Indexed as

Alcohol DrinkingAdultBinge DrinkingCohort EffectCohort StudiesEducational StatusFemaleHealth SurveysHumansIncomeMaleMiddle AgedSocial ClassSocioeconomic FactorsYoung AdultAge-period-cohortAlcoholDisparitiesEducation

Identifiers

PMID29544120
PMCPMC6003414
OpenAlexW2343485998

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.