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Factors associated with frailty in primary care: a prospective cohort study

Overview of attention for article published in BMC Geriatrics, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

9 tweeters


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79 Mendeley
Factors associated with frailty in primary care: a prospective cohort study
Published in
BMC Geriatrics, April 2016
DOI 10.1186/s12877-016-0263-9
Pubmed ID

Ana Diez-Ruiz, Antonio Bueno-Errandonea, Jazmina Nuñez-Barrio, Inmaculada Sanchez-Martín, Kalliopi Vrotsou, Itziar Vergara


Frailty can be defined as a progressive loss of reserve and adaptive capacity associated with an overall deterioration in health that can result in disability, loss of independence, hospitalisation, extensive use of healthcare resources, admission to long-term care and death. Nevertheless, despite widespread use of the term, there is no agreement on the definition of frailty or an instrument to identify it in a straightforward way. The purpose of the current study was to explore which factors are associated with frailty-related adverse outcomes in elderly individuals and to propose a suitable tool for identifying such individuals, particularly in primary care settings. A prospective open cohort study of community dwelling, independent individuals aged 75 or over, followed up for 2 years. The study was entirely conducted in a primary care setting. Study variables included independence status measured by Barthel's Index and the Lawton Instrumental Activities of Daily Living Scale, functional performance, assessed by Timed Up and Go (TUG) and Gait Speed (GS) tests and levels of polipharmacy, comorbidity and social support. Outcome variables were specific frailty-related adverse events, namely, loss of independence and death. Overall, 215 community-dwelling independent individuals initiated the study. Of these, 46 were lost to follow-up and 50 had frailty-related adverse events during the follow-up period. Individuals with adverse events during the study had poorer functional status at baseline. The multivariate model that best explained the occurrence of these events included the variables of age, presence of polipharmacy and the TUG time. The AUC (Area under the curve) of this model was 0.822. Given the simplicity of assessing the three derived factors and their combined discriminant power, the proposed model may be considered a suitable tool for identifying frail patients, i.e., people more likely to lose their independence or die within a relatively short time interval.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Canada 1 1%
Unknown 77 97%

Demographic breakdown

Readers by professional status Count As %
Unspecified 18 23%
Student > Ph. D. Student 13 16%
Researcher 11 14%
Student > Bachelor 9 11%
Student > Master 9 11%
Other 17 22%
Unknown 2 3%
Readers by discipline Count As %
Medicine and Dentistry 24 30%
Nursing and Health Professions 20 25%
Unspecified 16 20%
Social Sciences 4 5%
Agricultural and Biological Sciences 4 5%
Other 9 11%
Unknown 2 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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
of 12,819,611 outputs
Outputs from BMC Geriatrics
of 1,311 outputs
Outputs of similar age
of 261,670 outputs
Outputs of similar age from BMC Geriatrics
of 1 outputs
Altmetric has tracked 12,819,611 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,311 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one has gotten more attention than average, scoring higher than 51% 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 261,670 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 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them