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Decomposing socioeconomic inequalities in alcohol use by men living in South African urban informal settlements

Overview of attention for article published in BMC Public Health, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

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11 Dimensions

Readers on

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45 Mendeley
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Title
Decomposing socioeconomic inequalities in alcohol use by men living in South African urban informal settlements
Published in
BMC Public Health, August 2018
DOI 10.1186/s12889-018-5925-4
Pubmed ID
Authors

Nozuko Lawana, Frederik Booysen

Abstract

The prevalence of alcohol consumption among males living in urban settlements in South Africa is high. This paper aims to measure socioeconomic inequalities in alcohol use among men residing in informal settlements and also to examine the factors associated with inequality in alcohol use among men living in informal settlements. The study uses data from the 2016 Study of South African Informal Settlements. Multiple correspondence analysis is used to calculate a wealth index as a measure of socioeconomic status. The Erreygers concentration index is employed to quantify the degree of socioeconomic inequality in alcohol use and decomposition analysis is conducted to assess the factors associated with inequality in alcohol use by men of various age groups. There is a socioeconomic-related inequality in alcohol use in informal settlements that discriminates against poor men. Inequality is especially pronounced in the case of males aged 15-34 years and males aged 35-44 years. Wealth status makes the biggest contribution to socioeconomic inequality in alcohol use. The contribution of social determinants of health like marital status and employment status differ across age groups. Employment status contribute more to the alcohol use inequality among males aged 15-34 years while marital status contribute more to the alcohol use inequality among males aged 35-44 years. Being single substantially increases inequality in alcohol use. Inequality in alcohol use exists among both younger and older males and discriminate against the poor. Public policies aimed at promoting public health and the prevention of unhealthy behaviours should target younger and middle-aged men from socioeconomically disadvantaged groups. We also suggest policies that target single males in informal settlements.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 24%
Student > Ph. D. Student 7 16%
Librarian 6 13%
Researcher 5 11%
Student > Doctoral Student 4 9%
Other 5 11%
Unknown 7 16%
Readers by discipline Count As %
Medicine and Dentistry 10 22%
Social Sciences 7 16%
Economics, Econometrics and Finance 5 11%
Nursing and Health Professions 5 11%
Arts and Humanities 2 4%
Other 6 13%
Unknown 10 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 14 August 2020.
All research outputs
#2,840,717
of 18,663,462 outputs
Outputs from BMC Public Health
#3,053
of 12,387 outputs
Outputs of similar age
#61,282
of 289,622 outputs
Outputs of similar age from BMC Public Health
#3
of 6 outputs
Altmetric has tracked 18,663,462 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,387 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done well, scoring higher than 75% 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 289,622 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.