Evidence map›Paper›PMID 25670624›Full record

ArticleBMJ (Clinical research ed.)2015

All cause mortality and the case for age specific alcohol consumption guidelines: pooled analyses of up to 10 population based cohorts.

Craig S Knott, Ngaire Coombs, Emmanuel Stamatakis, Jane P Biddulph

Open access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 6 pooled it
22.2field-weighted citation impact, top 1% 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

98 citing papers in PubMed, 6 syntheses or guidelines pooled it, 209 citations in OpenAlex.

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38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Craig S KnottDepartment of Epidemiology and Public Health, University College London, London, UK craig.knott.10@ucl.ac.uk.
Ngaire CoombsPhysical Activity Research Group, Department of Epidemiology and Public Health, University College London, London, UK Department of Social Statistics and Demography, University of Southampton, Southampton, UK.
Emmanuel StamatakisPhysical Activity Research Group, Department of Epidemiology and Public Health, University College London, London, UK Charles Perkins Centre, University of Sydney, Sydney, Australia Exercise Health and Performance Faculty Research Group, Faculty of Health Sciences, University of Sydney, Sydney, Australia.
Jane P BiddulphDepartment of Epidemiology and Public Health, University College London, London, UK.
University College London · GBUniversity of Southampton · GBUniversity of Sydney · AU

Funding

Department of Health
6 · The paper itself

Abstract

objectivesTo examine the suitability of age specific limits for alcohol consumption and to explore the association between alcohol consumption and mortality in different age groups.

designPopulation based data from Health Survey for England 1998-2008, linked to national mortality registration data and pooled for analysis using proportional hazards regression. Analyses were stratified by sex and age group (50-64 and ≥ 65 years).

settingUp to 10 waves of the Health Survey for England, which samples the non-institutionalised general population resident in England.

participantsThe derivation of two analytical samples was based on the availability of comparable alcohol consumption data, covariate data, and linked mortality data among adults aged 50 years or more. Two samples were used, each utilising a different variable for alcohol usage: self reported average weekly consumption over the past year and self reported consumption on the heaviest day in the past week. In fully adjusted analyses, the former sample comprised Health Survey for England years 1998-2002, 18,368 participants, and 4102 deaths over a median follow-up of 9.7 years, whereas the latter comprised Health Survey for England years 1999-2008, 34,523 participants, and 4220 deaths over a median follow-up of 6.5 years.

main outcome measureAll cause mortality, defined as any death recorded between the date of interview and the end of data linkage on 31 March 2011.

resultsIn unadjusted models, protective effects were identified across a broad range of alcohol usage in all age-sex groups. These effects were attenuated across most use categories on adjustment for a range of personal, socioeconomic, and lifestyle factors. After the exclusion of former drinkers, these effects were further attenuated. Compared with self reported never drinkers, significant protective associations were limited to younger men (50-64 years) and older women (≥ 65 years). Among younger men, the range of protective effects was minimal, with a significant reduction in hazards present only among those who reported consuming 15.1-20.0 units/average week (hazard ratio 0.49, 95% confidence interval 0.26 to 0.91) or 0.1-1.5 units on the heaviest day (0.43, 0.21 to 0.87). The range of protective effects was broader but lower among older women, with significant reductions in hazards present ≤ 10.0 units/average week and across all levels of heaviest day use. Supplementary analyses found that most protective effects disappeared where calculated in comparison with various definitions of occasional drinkers.

conclusionsBeneficial associations between low intensity alcohol consumption and all cause mortality may in part be attributable to inappropriate selection of a referent group and weak adjustment for confounders. Compared with never drinkers, age stratified analyses suggest that beneficial dose-response relations between alcohol consumption and all cause mortality may be largely specific to women drinkers aged 65 years or more, with little to no protection present in other age-sex groups. These protective associations may, however, be explained by the effect of selection biases across age-sex strata.

Indexed as

AgedAge FactorsAlcohol DrinkingCause of DeathCohort StudiesEnglandFemaleGuidelines as TopicHealth SurveysHumansMaleMiddle AgedSurveys and Questionnaires

Identifiers

PMID25670624
PMCPMC4353285
OpenAlexW1977134398

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.