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Unravelling the alcohol harm paradox: a population-based study of social gradients across very heavy drinking thresholds

Overview of attention for article published in BMC Public Health, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
policy
1 policy source
twitter
62 X users

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
121 Mendeley
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Title
Unravelling the alcohol harm paradox: a population-based study of social gradients across very heavy drinking thresholds
Published in
BMC Public Health, July 2016
DOI 10.1186/s12889-016-3265-9
Pubmed ID
Authors

Dan Lewer, Petra Meier, Emma Beard, Sadie Boniface, Eileen Kaner

Abstract

There is consistent evidence that individuals in higher socioeconomic status groups are more likely to report exceeding recommended drinking limits, but those in lower socioeconomic status groups experience more alcohol-related harm. This has been called the 'alcohol harm paradox'. Such studies typically use standard cut-offs to define heavy drinking, which are exceeded by a large proportion of adults. Our study pools data from six years (2008-2013) of the population-based Health Survey for England to test whether the socioeconomic distribution of more extreme levels of drinking could help explain the paradox. The study included 51,498 adults from a representative sample of the adult population of England for a cross-sectional analysis of associations between socioeconomic status and self-reported drinking. Heavy weekly drinking was measured at four thresholds, ranging from 112 g+/168 g + (alcohol for women/men, or 14/21 UK standard units) to 680 g+/880 g + (or 85/110 UK standard units) per week. Heavy episodic drinking was also measured at four thresholds, from 48 g+/64 g + (or 6/8 UK standard units) to 192 g+/256 g + (or 24/32 UK standard units) in one day. Socioeconomic status indicators were equivalised household income, education, occupation and neighbourhood deprivation. Lower socioeconomic status was associated with lower likelihoods of exceeding recommended limits for weekly and episodic drinking, and higher likelihoods of exceeding more extreme thresholds. For example, participants in routine or manual occupations had 0.65 (95 % CI 0.57-0.74) times the odds of exceeding the recommended weekly limit compared to those in 'higher managerial' occupations, and 2.15 (95 % CI 1.06-4.36) times the odds of exceeding the highest threshold. Similarly, participants in the lowest income quintile had 0.60 (95 % CI 0.52-0.69) times the odds of exceeding the recommended weekly limit when compared to the highest quintile, and 2.30 (95 % CI 1.28-4.13) times the odds of exceeding the highest threshold. Low socioeconomic status groups are more likely to drink at extreme levels, which may partially explain the alcohol harm paradox. Policies that address alcohol-related health inequalities need to consider extreme drinking levels in some sub-groups that may be associated with multiple markers of deprivation. This will require a more disaggregated understanding of drinking practices.

X Demographics

X Demographics

The data shown below were collected from the profiles of 62 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Unknown 119 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 14%
Student > Master 15 12%
Researcher 12 10%
Student > Bachelor 10 8%
Student > Doctoral Student 6 5%
Other 16 13%
Unknown 45 37%
Readers by discipline Count As %
Medicine and Dentistry 26 21%
Social Sciences 13 11%
Psychology 9 7%
Nursing and Health Professions 5 4%
Unspecified 3 2%
Other 14 12%
Unknown 51 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 72. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2023.
All research outputs
#605,437
of 25,637,545 outputs
Outputs from BMC Public Health
#591
of 17,736 outputs
Outputs of similar age
#12,052
of 378,101 outputs
Outputs of similar age from BMC Public Health
#17
of 366 outputs
Altmetric has tracked 25,637,545 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 378,101 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 366 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.