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Subjective social status, social network and health disparities: empirical evidence from Greece

Overview of attention for article published in International Journal for Equity in Health, February 2017
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Title
Subjective social status, social network and health disparities: empirical evidence from Greece
Published in
International Journal for Equity in Health, February 2017
DOI 10.1186/s12939-017-0533-y
Pubmed ID
Authors

Antonios Charonis, Ilias-Ioannis Kyriopoulos, Manos Spanakis, Dimitris Zavras, Kostas Athanasakis, Elpida Pavi, John Kyriopoulos

Abstract

Several studies suggest that socioeconomic status affects (SES) affects self-rated health (SRH), both in Greece and internationally. However, prior research mainly uses objective measures of SES, instead of subjective evaluations of individuals' social status. Based on this, this paper aims to examine (a) the impact of the economic dowturn on SRH in Greece and (b) the relationship between subjective social status (SSS), social network and SRH. The descriptive analysis is based on four cross-sectional surveys conducted by the National School of Public Health, Athens, Greece (2002, 2006, 2011, 2015), while the data for the empirical investigation were derived from the 2015 survey (Health + Welfare Survey GR). The empirical strategy is based on an ordinal logistic regression model, aiming to examine how several variables affect SRH. Size of social network and SSS are among the independent variables employed for the empirical analysis RESULTS: According to our findings, average SRH has deteriorated, and the percentage of the population that reports very good/good SRH has also decreased. Moreover, our empirical analysis suggests that age, existence of a chronic disease, size of social network and SSS affect SRH in Greece. Our findings are consistent with the existing literature and confirm a social gradient in health. According to our analysis, health disparities can be largely attributed to socioeconomic inequalities. The adverse economic climate has impact on socioeconomic differences which in turn affect health disparities. Based on these, policy initiatives are necessasy in order to mitigate the negative impact on health and the disparities caused by economic dowturn and the occuring socioeconomic inequalities.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Researcher 9 13%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 5 7%
Student > Bachelor 4 6%
Other 13 18%
Unknown 22 31%
Readers by discipline Count As %
Social Sciences 12 17%
Nursing and Health Professions 11 15%
Medicine and Dentistry 7 10%
Economics, Econometrics and Finance 7 10%
Unspecified 4 6%
Other 7 10%
Unknown 24 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 April 2017.
All research outputs
#15,451,618
of 22,961,203 outputs
Outputs from International Journal for Equity in Health
#1,544
of 1,918 outputs
Outputs of similar age
#198,281
of 312,052 outputs
Outputs of similar age from International Journal for Equity in Health
#31
of 37 outputs
Altmetric has tracked 22,961,203 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,918 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 13th percentile – i.e., 13% 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 312,052 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.