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Prevalence and correlates of cognitive impairment and depression among elderly people in the world’s fastest growing city, Chongqing, People’s Republic of China

Overview of attention for article published in Clinical Interventions in Aging, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
4 tweeters
video
1 video uploader

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
71 Mendeley
Title
Prevalence and correlates of cognitive impairment and depression among elderly people in the world’s fastest growing city, Chongqing, People’s Republic of China
Published in
Clinical Interventions in Aging, January 2016
DOI 10.2147/cia.s113668
Pubmed ID
Authors

Mohan Giri, Tian Chen, Weihua Yu, Yang Lü, Giri, Mohan, Chen, Tian, Yu, Weihua, Lü, Yang

Abstract

Cognitive impairment and depression are major mental health problems affecting older people. The current study was designed to explore the prevalence of cognitive impairment and depression in representative sample of elderly people aged ≥60 years and to examine the correlates of cognitive impairment and depression with other sociodemographic variables. A cross-sectional study based on comprehensive geriatric assessment of 538 elderly Chinese people was conducted from September 2011 to August 2012. Cognitive impairment was assessed using the Chinese version of Mini-Mental State Examination, and depressive symptoms were assessed by 30-item geriatric depression scale. The prevalence of cognitive impairment was 12.6%. Multiple logistic regression analysis revealed that the following were significant independent predictors of cognitive impairment: female, having a low level of education, increasing age, and depression. The overall prevalence of depression was 24.3%, and in adjusted model, cognitive impairment was only associated with increased risk of depression. Cognitive impairment and depression are prevalent in elderly Chinese people. Among a number of factors identified in our study, cognitive impairment and depression were highly correlated in elderly people aged ≥60 years.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 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 > Bachelor 12 17%
Student > Master 9 13%
Student > Ph. D. Student 7 10%
Student > Postgraduate 5 7%
Other 5 7%
Other 14 20%
Unknown 19 27%
Readers by discipline Count As %
Nursing and Health Professions 13 18%
Medicine and Dentistry 13 18%
Psychology 8 11%
Social Sciences 4 6%
Neuroscience 3 4%
Other 9 13%
Unknown 21 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 25 December 2016.
All research outputs
#1,806,075
of 16,109,106 outputs
Outputs from Clinical Interventions in Aging
#231
of 1,533 outputs
Outputs of similar age
#38,890
of 266,920 outputs
Outputs of similar age from Clinical Interventions in Aging
#6
of 54 outputs
Altmetric has tracked 16,109,106 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,533 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 84% 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 266,920 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 85% of its contemporaries.
We're also able to compare this research output to 54 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.