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Why does Income Relate to Depressive Symptoms? Testing the Income Rank Hypothesis Longitudinally

Overview of attention for article published in Social Indicators Research, October 2014
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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5 X users
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1 Wikipedia page
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2 Google+ users

Citations

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43 Dimensions

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71 Mendeley
Title
Why does Income Relate to Depressive Symptoms? Testing the Income Rank Hypothesis Longitudinally
Published in
Social Indicators Research, October 2014
DOI 10.1007/s11205-014-0795-3
Pubmed ID
Authors

Hilda Osafo Hounkpatin, Alex M. Wood, Gordon D. A. Brown, Graham Dunn

Abstract

This paper reports a test of the relative income rank hypothesis of depression, according to which it is the rank position of an individual's income amongst a comparison group, rather than the individual's absolute income, that will be associated with depressive symptoms. A new methodology is developed to test between psychosocial and material explanations of why income relates to well-being. This method was used to test the income rank hypothesis as applied to depressive symptoms. We used data from a cohort of 10,317 individuals living in Wisconsin who completed surveys in 1992 and 2003. The utility assumed to arise from income was represented with a constant relative risk aversion function to overcome limitations of previous work in which inadequate specification of the relationship between absolute income and well-being may have inappropriately favoured relative income specifications. We compared models in which current and future depressive symptoms were predicted from: (a) income utility alone, (b) income rank alone, (c) the transformed difference between the individual's income and the mean income of a comparison group and (d) income utility, income rank and distance from the mean jointly. Model comparison overcomes problems involving multi-collinearity amongst the predictors. A rank-only model was consistently supported. Similar results were obtained for the association between depressive symptoms and wealth and rank of wealth in a cohort of 32,900 British individuals who completed surveys in 2002 and 2008. We conclude that it is the rank of a person's income or wealth within a social comparison group, rather than income or wealth themselves or their deviations from the mean within a reference group, that is more strongly associated with depressive symptoms.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Student > Ph. D. Student 10 14%
Student > Doctoral Student 9 13%
Researcher 8 11%
Student > Postgraduate 4 6%
Other 11 15%
Unknown 16 23%
Readers by discipline Count As %
Psychology 18 25%
Social Sciences 14 20%
Medicine and Dentistry 10 14%
Economics, Econometrics and Finance 2 3%
Unspecified 1 1%
Other 7 10%
Unknown 19 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 12 August 2017.
All research outputs
#3,933,485
of 22,769,322 outputs
Outputs from Social Indicators Research
#346
of 1,727 outputs
Outputs of similar age
#45,909
of 260,385 outputs
Outputs of similar age from Social Indicators Research
#8
of 31 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,727 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 79% 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 260,385 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 82% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.