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Predictability of frailty index and its components on mortality in older adults in China

Overview of attention for article published in BMC Geriatrics, July 2016
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
Predictability of frailty index and its components on mortality in older adults in China
Published in
BMC Geriatrics, July 2016
DOI 10.1186/s12877-016-0317-z
Pubmed ID
Authors

Fang Yang, Danan Gu

Abstract

Frailty represents an increased vulnerability to external stressors due to decreased physiological reserve and dysfunction in multiple bodily systems. The relationship between frailty and mortality has been well-documented in the literature. However, less is known about the predictive powers of frailty index and its components on mortality when they are simultaneously present. This study aimed to examine the predictive powers of frailty index and its multiple components on mortality in a nationally representative sample of older adults in China. We used a sample of 13,731 older adults from the 2008/2009 and 2011/2012 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Frailty was measured using the cumulative deficit approach, and was constructed from 38 health variables (39 deficits). We selected 8 major sets of components: activities of daily living (ADL) (6 deficits), instrumental ADL (IADL) (8 deficits), functional limitations (5 deficits), overall cognitive functioning (1 deficit), chronic disease conditions (11 deficits), self-reported health (2 deficits), hearing and vision impairment (2 deficits), and psychological distress (1 deficit). Survival analysis was used to examine the roles of the frailty and its components in mortality. Results showed that almost all the components of the frailty index (except chronic diseases) were significant predictors of mortality when examined individually. Among the components, ADL and IADL disabilities remained significant when considering all the components simultaneously. When the frailty and its components were simultaneously analyzed, the frailty remained a robust predictor of mortality across the age and sex groups, while most components lost their significance except ADL, IADL, and cognitive function components in some cases. Frailty measured by cumulative deficits has a stronger predictive power on mortality than its all individual components. ​ADL and IADL disability play a greater role in mortality than other components when considering all the components of frailty.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 11%
Researcher 8 10%
Student > Doctoral Student 8 10%
Student > Master 7 9%
Student > Bachelor 7 9%
Other 21 26%
Unknown 22 27%
Readers by discipline Count As %
Medicine and Dentistry 23 28%
Nursing and Health Professions 11 13%
Psychology 5 6%
Social Sciences 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Other 11 13%
Unknown 25 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 September 2016.
All research outputs
#7,120,721
of 23,910,532 outputs
Outputs from BMC Geriatrics
#1,716
of 3,268 outputs
Outputs of similar age
#117,697
of 370,570 outputs
Outputs of similar age from BMC Geriatrics
#16
of 31 outputs
Altmetric has tracked 23,910,532 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,268 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 10.0. This one is in the 47th percentile – i.e., 47% 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 370,570 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% 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 51% of its contemporaries.