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Frailty predicts short-term incidence of future falls among British community-dwelling older people: a prospective cohort study nested within a randomised controlled trial

Overview of attention for article published in BMC Geriatrics, December 2015
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Frailty predicts short-term incidence of future falls among British community-dwelling older people: a prospective cohort study nested within a randomised controlled trial
Published in
BMC Geriatrics, December 2015
DOI 10.1186/s12877-015-0152-7
Pubmed ID
Authors

Gotaro Kojima, Denise Kendrick, Dawn A. Skelton, Richard W. Morris, Sheena Gawler, Steve Iliffe

Abstract

Although population-based studies have shown frailty predicted future falls, their follow-up periods were one year or longer and short-term fall risks associated with frailty are unknown. A prospective cohort study nested within a randomised controlled trial was conducted to examine associations between frailty and short-term incident future falls among community-dwelling older people. Two hundred forty eight community-dwelling people > =65 years without history of > =three falls and allocated to a usual care arm of exercise intervention trial were prospectively monitored for falls over 24 weeks. Frailty index (FI) was constructed from 40 deficits at baseline. The future fall risks according to frailty status was examined using logistic regression models. Of 248 participants, 46 were classified as frail and 57 had one or more falls during follow-up. Both each 0.01 increase in FI and frailty defined as FI > =0.25 were significantly associated with higher risks of future falls in multivariate logistic regression models adjusted for age, gender and history of two falls in the previous year (odds ratio (OR) = 1.05, 95 % confidence interval (95 % CI) = 1.02-1.07, p < 0.001; OR = 3.04, 95 % CI = 1.53-6.02, p = 0.001, respectively). Receiver operating characteristic (ROC) curve analysis showed FI predicted future falls with fair accuracy with area under ROC curve of 0.62 (95 % CI = 0.53-0.71, p < 0.01). Frailty was a significant and independent predictor of short-term future falls among community-dwelling older people who had volunteered for a physical activity study. It is important for healthcare practitioners to recognise frailty as a risk factor of imminent future falling even in older people who appear to be ageing well.

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X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 2 <1%
United Kingdom 1 <1%
Australia 1 <1%
Brazil 1 <1%
Unknown 219 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 14%
Student > Bachelor 31 14%
Researcher 26 12%
Student > Ph. D. Student 23 10%
Student > Postgraduate 15 7%
Other 46 21%
Unknown 51 23%
Readers by discipline Count As %
Medicine and Dentistry 56 25%
Nursing and Health Professions 40 18%
Sports and Recreations 13 6%
Agricultural and Biological Sciences 8 4%
Engineering 6 3%
Other 32 14%
Unknown 69 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 July 2017.
All research outputs
#6,504,779
of 25,402,889 outputs
Outputs from BMC Geriatrics
#1,561
of 3,649 outputs
Outputs of similar age
#92,156
of 395,451 outputs
Outputs of similar age from BMC Geriatrics
#29
of 61 outputs
Altmetric has tracked 25,402,889 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,649 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 57% 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 395,451 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 76% of its contemporaries.
We're also able to compare this research output to 61 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 52% of its contemporaries.