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Co-morbidity of depression and anxiety in common age-related eye diseases: a population-based study of 662 adults

Overview of attention for article published in Frontiers in Aging Neuroscience, January 2013
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 4,737)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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31 news outlets
blogs
2 blogs
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1 X user

Citations

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88 Dimensions

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128 Mendeley
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Title
Co-morbidity of depression and anxiety in common age-related eye diseases: a population-based study of 662 adults
Published in
Frontiers in Aging Neuroscience, January 2013
DOI 10.3389/fnagi.2013.00056
Pubmed ID
Authors

Ranmalee Eramudugolla, Joanne Wood, Kaarin J. Anstey

Abstract

This study examined the prevalence of co-morbid age-related eye disease and symptoms of depression and anxiety in late life, and the relative roles of visual function and disease in explaining symptoms of depression and anxiety. A community-based sample of 662 individuals aged over 70 years was recruited through the electoral roll. Vision was measured using a battery of tests including high and low contrast visual acuity, contrast sensitivity, motion sensitivity, stereoacuity, Useful Field of View, and visual fields. Depression and anxiety symptoms were measured using the Goldberg scales. The prevalence of self-reported eye disease [cataract, glaucoma, or age-related macular degeneration (AMD)] in the sample was 43.4%, with 7.7% reporting more than one form of ocular pathology. Of those with no eye disease, 3.7% had clinically significant depressive symptoms. This rate was 6.7% among cataract patients, 4.3% among those with glaucoma, and 10.5% for AMD. Generalized linear models adjusting for demographics, general health, treatment, and disability examined self-reported eye disease and visual function as correlates of depression and anxiety. Depressive symptoms were associated with cataract only, AMD, comorbid eye diseases and reduced low contrast visual acuity. Anxiety was significantly associated with self-reported cataract, and reduced low contrast visual acuity, motion sensitivity and contrast sensitivity. We found no evidence for elevated rates of depressive or anxiety symptoms associated with self-reported glaucoma. The results support previous findings of high rates of depression and anxiety in cataract and AMD, and in addition show that mood and anxiety are associated with objective measures of visual function independently of self-reported eye disease. The findings have implications for the assessment and treatment of mental health in the context of late-life visual impairment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 2%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 14%
Student > Master 16 13%
Researcher 13 10%
Student > Ph. D. Student 12 9%
Student > Doctoral Student 12 9%
Other 22 17%
Unknown 35 27%
Readers by discipline Count As %
Medicine and Dentistry 41 32%
Psychology 16 13%
Nursing and Health Professions 10 8%
Neuroscience 5 4%
Social Sciences 5 4%
Other 14 11%
Unknown 37 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 267. 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 02 March 2016.
All research outputs
#110,640
of 22,725,280 outputs
Outputs from Frontiers in Aging Neuroscience
#29
of 4,737 outputs
Outputs of similar age
#692
of 280,762 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#2
of 77 outputs
Altmetric has tracked 22,725,280 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,737 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 particularly well, scoring higher than 99% 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 280,762 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.