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Cognitive Dysfunction in Urban-Community Dwelling Prefrail Older Subjects

Overview of attention for article published in The journal of nutrition, health & aging, April 2018
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Title
Cognitive Dysfunction in Urban-Community Dwelling Prefrail Older Subjects
Published in
The journal of nutrition, health & aging, April 2018
DOI 10.1007/s12603-018-1017-5
Pubmed ID
Authors

Hiroyuki Umegaki, T. Makino, H. Shimada, T. Hayashi, X. Wu Cheng, M. Kuzuya

Abstract

A number of studies have reported that frailty is cross-sectionally associated with cognitive decline and is also a risk for future cognitive decline or dementia; however, there have been only a few studies that focus on the association between prefrailty and cognitive dysfunction. In the current study, we investigated the association between prefrailty and cognition. A cross-sectional study of the data obtained at registration in a randomized control trial. Toyota, Japan. Community-dwelling older subjects (male 54.6%) who had cognitive complaints. A battery of neuropsychological and physical assessments were performed. Prefrailty was defined as exhibiting one or two of the five Fried criteria (weight loss, exhaustion, weakness, slow gait speed and low physical activity). We performed a multiple regression analysis to investigate the associations of cognitive performance with prefrailty, adjusting for the factors that were significantly different between the robust and prefrailty groups. To assess the cognitive attributes that were significantly associated with prefrailty, logistic analysis was performed to see if one specific criterion of the five frailty criteria was associated with cognitive performance. The study subjects included 183 prefrail and 264 robust individuals. The prefrail subjects with cognitive complaints were older, less educated, more depressive, and more likely to have diabetes mellitus than the robust subjects. The prefrail subjects had lower performance in a wide-range of cognitive domains, and after adjustments for age, education, depressive mood, and diabetes mellitus, prefrailty was associated with a decline in delayed memory and processing speed. Among the components of the Fried criteria, slow gait speed and loss of activity were significantly associated with slow processing speed as assessed by the digit symbol substitution test. The current results demonstrated that prefrailty was associated with worse memory and processing speed performance, but not with other cognitive domains.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 15%
Student > Bachelor 18 12%
Researcher 15 10%
Student > Ph. D. Student 14 9%
Student > Postgraduate 9 6%
Other 25 17%
Unknown 46 31%
Readers by discipline Count As %
Nursing and Health Professions 24 16%
Medicine and Dentistry 22 15%
Psychology 17 11%
Sports and Recreations 10 7%
Social Sciences 5 3%
Other 16 11%
Unknown 56 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 June 2018.
All research outputs
#16,978,129
of 25,728,855 outputs
Outputs from The journal of nutrition, health & aging
#1,524
of 2,003 outputs
Outputs of similar age
#212,238
of 344,748 outputs
Outputs of similar age from The journal of nutrition, health & aging
#32
of 46 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 22nd percentile – i.e., 22% 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 344,748 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.