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Are differential consumption patterns in health-related behaviours an explanation for persistent and widening social inequalities in health in England?

Overview of attention for article published in International Journal for Equity in Health, October 2016
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Title
Are differential consumption patterns in health-related behaviours an explanation for persistent and widening social inequalities in health in England?
Published in
International Journal for Equity in Health, October 2016
DOI 10.1186/s12939-016-0461-2
Pubmed ID
Authors

Emma Stait, Michael Calnan

Abstract

During the last two decades, differential consumption patterns in health-related behaviours have increasingly been highlighted as playing an important role in explaining persistent and widening health inequalities. This period has also seen government public health policies in England place a greater emphasis on changing 'lifestyle' behaviours, in an attempt to tackle social inequalities in health. The aim of this study was to empirically examine the variation in health-related behaviour in relation to socio-economic position, in the English adult population, to determine the nature of this relationship and whether it has changed over time. The study population was derived from the Health Survey for England between 2001 and 2012 (n = 56,468). The relationships between health-related behaviour (smoking, fruit and vegetable intake, alcohol consumption and physical activity) and three socioeconomic indicators (educational level, occupational social class and equivilised household income) were analysed using log bi-nomial regression. The study found that each of the three socio-economic indicators were statistically related to smoking, fruit and vegetable consumption and alcohol intake, with the strongest relationship found for smoking. For physical activity, no relationship was found in 2003 by education or income and in 2008 by occupation. Statistical analysis showed that the difference between those at the highest and lowest end of the socio-economic indicators had widened in relation to smoking, as measured by educational level, occupation and household income. A similar trend was also found for physical activity as measured by educational level and household income. However, for fruit and vegetable intake and alcohol consumption, the relationship between health-related behaviour and socio-economic position had narrowed over time as measured by education and income. The findings provided only partial support for the thesis that socio-economic variations in health-related behaviours may be significant in explaining widening health inequalities. The significance of socio-economic variations in health-related behaviours might reflect both materialist and cultural explanations for socio-economic inequalities although it was not possible to separate and estimate the relative importance of these effects.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Researcher 5 8%
Student > Doctoral Student 5 8%
Student > Bachelor 5 8%
Student > Ph. D. Student 4 7%
Other 10 17%
Unknown 22 37%
Readers by discipline Count As %
Nursing and Health Professions 10 17%
Medicine and Dentistry 6 10%
Social Sciences 6 10%
Psychology 3 5%
Agricultural and Biological Sciences 2 3%
Other 10 17%
Unknown 23 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2016.
All research outputs
#14,559,670
of 25,307,332 outputs
Outputs from International Journal for Equity in Health
#1,465
of 2,204 outputs
Outputs of similar age
#167,052
of 324,446 outputs
Outputs of similar age from International Journal for Equity in Health
#35
of 49 outputs
Altmetric has tracked 25,307,332 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,204 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one is in the 32nd percentile – i.e., 32% 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 324,446 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.