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Is alcohol consumption in older adults associated with poor self-rated health? Cross-sectional and longitudinal analyses from the English Longitudinal Study of Ageing

Overview of attention for article published in BMC Public Health, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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1 blog
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18 X users
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2 Facebook pages
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1 Redditor

Citations

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44 Dimensions

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69 Mendeley
Title
Is alcohol consumption in older adults associated with poor self-rated health? Cross-sectional and longitudinal analyses from the English Longitudinal Study of Ageing
Published in
BMC Public Health, July 2015
DOI 10.1186/s12889-015-1993-x
Pubmed ID
Authors

Martin Frisher, Marina Mendonça, Nicola Shelton, Hynek Pikhart, Cesar de Oliveira, Clare Holdsworth

Abstract

Increases in alcohol related mortality and morbidity have been reported among older people in England over the last decade. There is, however, evidence that drinking is protective for some health conditions. The validity of this evidence has been questioned due to residual confounding and selection bias. The aim of this study is to clarify which drinking profiles and other demographic characteristics are associated with poor self-rated health among a community-based sample of older adults in England. The study also examines whether drinking designated as being "increasing-risk" or "higher-risk" is associated with poorer self-rated health. This study used data from Wave 0, Wave 1 and Wave 5 of the English Longitudinal Study of Ageing [ELSA]. Logistic regression analysis, was used to examine the association between drinking profiles (based on quantity and frequency of drinking) and self-rated health, adjusting for gender, age, wealth, social class, education, household composition, smoking and body mass index [BMI]. Twenty percent of the sample reported drinking above the recommended level at wave 0. Rates of poor self-rated health were highest among those who had stopped drinking, followed by those who never drank. The rates of poor self-rated health among non-drinkers were significantly higher than the rates of poor self-rated health for any of the groups who reported alcohol consumption. In the adjusted logistic regression models there were no drinking profiles associated with significantly higher rates of poor self-rated health relative to occasional drinkers. Among those who drank alcohol, there was no evidence that any pattern of current alcohol consumption was associated with poor self-rated health, even after adjustment for a wide range of variables. The results associated with the stopped drinking profile indicate improvement in self-rated health can be associated with changes in drinking behaviour. Although several limitations of the study are noted, policy makers may wish to consider how these findings should be translated into drinking guidelines for older adults.

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X Demographics

The data shown below were collected from the profiles of 18 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 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Master 9 13%
Student > Bachelor 8 12%
Student > Ph. D. Student 7 10%
Student > Doctoral Student 5 7%
Other 10 14%
Unknown 19 28%
Readers by discipline Count As %
Medicine and Dentistry 12 17%
Nursing and Health Professions 6 9%
Social Sciences 6 9%
Psychology 4 6%
Agricultural and Biological Sciences 3 4%
Other 13 19%
Unknown 25 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 15 January 2016.
All research outputs
#1,780,925
of 23,412,873 outputs
Outputs from BMC Public Health
#1,949
of 15,236 outputs
Outputs of similar age
#23,984
of 264,713 outputs
Outputs of similar age from BMC Public Health
#32
of 277 outputs
Altmetric has tracked 23,412,873 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done well, scoring higher than 87% 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 264,713 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 90% of its contemporaries.
We're also able to compare this research output to 277 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.