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The effects of US state income inequality and alcohol policies on symptoms of depression and alcohol dependence

Overview of attention for article published in Social Science & Medicine, February 2004
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
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3 X users

Readers on

mendeley
79 Mendeley
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1 CiteULike
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Article details
Title
The effects of US state income inequality and alcohol policies on symptoms of depression and alcohol dependence
Published in
Social Science & Medicine, February 2004
DOI 10.1016/s0277-9536(03)00228-4
Pubmed ID
Authors
Abstract

Mental health is likely to be influenced by contextual variables that emerge only at the level of the group. We studied the effect of two such group-level variables, within-state income inequality and alcohol tax policy, on symptoms of current depression and alcohol dependence in a US national sample, controlling for state-level and individual characteristics. A cross-sectional US national probability sample provided the individual-level data. State income data were obtained from the 1990 US census. The Gini coefficient (raw and adjusted) indicated income inequality. Outcome measures included current symptoms of depression and alcohol dependence. Controlling for individual-level variables and state median income, the odds of depressive symptoms was not positively associated with state income inequality. Controlling for individual-level variables, state median income and alcohol distribution method, a weak negative association between Gini and alcohol dependence was observed in women, but this association disappeared after additional adjustment for beer tax. No association was observed in men. Higher state beer tax was significantly associated with lower prevalence of alcohol dependence symptoms for both men and women. The results suggest that state income inequality does not increase the experience of alcohol dependence or depression symptoms. However, evidence was found for a protective effect of increased beer taxation against alcohol dependence symptoms, suggesting the need to further consider the impact of alcohol policies on alcohol use disorders.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 3%
United States 1 1%
Iceland 1 1%
Unknown 75 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 12 15%
Student > Master 11 14%
Student > Ph. D. Student 10 13%
Professor 9 11%
Student > Doctoral Student 6 8%
Other 16 20%
Unknown 15 19%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Social Sciences 15 19%
Economics, Econometrics and Finance 5 6%
Psychology 5 6%
Nursing and Health Professions 3 4%
Other 10 13%
Unknown 24 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 March 2023.
All research outputs
#7,720,918
of 27,774,969 outputs
Outputs from Social Science & Medicine
#6,753
of 12,551 outputs
Outputs of similar age
#34,724
of 158,881 outputs
Outputs of similar age from Social Science & Medicine
#40
of 65 outputs
Altmetric has tracked 27,774,969 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 12,551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 158,881 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.