Evidence map›Paper›PMID 27273356›Full record

ArticleThe journal of nutrition, health & aging2016

Clinical and Functional Characterization of Pre-frailty among Elderly Patients Consulting Primary Care Centres.

M Serra-Prat, X Sist, A Saiz, L Jurado, R Domenich, A Roces, M Papiol

Abstract read
In one paragraph

Article in The journal of nutrition, health & aging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Mortality, Falls, and Fracture Risk Are Positively Associated With Frailty: A SIDIAP Cohort Study of 890 000 Patients.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  7. Factors Associated with Frailty Syndrome in Older Adults.The journal of nutrition, health & aging · 2020
    Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

M Serra-PratMateu Serra-Prat, Research Unit, Hospital de Mataró, Carretera de Cirera s/n, 08304 Mataró Barcelona, Spain, Phone +34 937417730, Fax. + 34 937573321, mserra@csdm.cat.
X Sist
A Saiz
L Jurado
R Domenich
A Roces
M Papiol

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCharacterization of the main features of pre-frailty may contribute to better understanding the mechanisms involved in the development of frailty.

objectiveTo characterize the pre-frail population consulting in primary care centres in Mataró (Catalonia, Spain), to describe the Fried's frailty criteria for this population and to identify the main associated factors.

designCross-sectional study.

settingThree primary care centres in Catalonia.

participantsPre-frail subjects recruited from among persons aged 70 years and older consulting primary care centres and screened for frailty according to Fried's criteria. MEASUREMENTS: Clinical, nutritional and functional data.

resultsFrailty prevalence of 31.0% and pre-frailty prevalence of 49.0% were observed. Comorbidity was not especially frequent among elderly individuals classified as pre-frail (except for diabetes with 35.8% prevalence). Functional status and nutritional status were both reasonably satisfactory in pre-frail subjects with mean Barthel score of 98 points and 91% classified as well nourished. Among pre-frail subjects, 35% were obese (body mass index>30); 75% reported pain; 12% had an accidental fall in the previous three months; and the mean number of medications ingested was 6.2. Weakness was the most prevalent frailty criterion (70%), followed by slowness (30%). Weakness was associated with age in men and with pain in women. Poor physical activity was associated with pain.

conclusionsPre-frailty is very common among elderly subjects consulting primary care centres. Weakness, slowness, diabetes, pain and polypharmacy should alert healthcare professionals to the onset of a frailty process.

Indexed as

Frail ElderlyAgedAged, 80 and overCross-Sectional StudiesFemaleGeriatric AssessmentHumansMalePrevalencePrimary Health Care

Identifiers

PMID27273356
PMCPMC12879070

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.