Evidence map›Paper›PMID 33008378›Full record

Observational studyBMC geriatrics2020

Accelerometry assessed physical activity of older adults hospitalized with acute medical illness - an observational study.

Plamena Tasheva, Vanessa Kraege, Peter Vollenweider, Guillaume Roulet, Marie Méan, Pedro Marques-Vidal

Abstract readObservational Study
In one paragraph

Observational study in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 citing papers in PubMed.

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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

6 authors.

Plamena TashevaDepartment of medicine, internal medicine, Lausanne university hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland. Plamena_tasheva@yahoo.com.ORCID 0000-0002-2386-9329
Vanessa KraegeDepartment of medicine, internal medicine, Lausanne university hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Peter VollenweiderDepartment of medicine, internal medicine, Lausanne university hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Guillaume RouletDepartment of medicine, internal medicine, Lausanne university hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Marie MéanDepartment of medicine, internal medicine, Lausanne university hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.
Pedro Marques-VidalDepartment of medicine, internal medicine, Lausanne university hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn a hospital setting and among older patients, inactivity and bedrest are associated with a wide range of negative outcomes such as functional decline, increased risk of falls, longer hospitalization and institutionalization. Our aim was to assess the distribution, determinants and predictors of physical activity (PA) levels using wrist-worn accelerometers in older patients hospitalized with acute medical illness.

methodsObservational study conducted from February to November 2018 at an acute internal medicine unit in the University hospital of Lausanne, Switzerland. We enrolled 177 patients aged ≥65 years, able to walk prior to admission. PA during acute hospital stay was continuously recorded via a 3D wrist accelerometer. Clinical data was collected from medical records or by interview. Autonomy level prior to inclusion was assessed using Barthel Index score. PA levels were defined as < 30 mg for inactivity, 30-99 mg for light and ≥ 100 for moderate PA. Physically active patients were defined as 1) being in the highest quartile of time spent in light and moderate PA or 2) spending ≥20 min/day in moderate PA.

resultsMedian [interquartile range - IQR] age was 83 [74-87] years and 60% of participants were male. The median [IQR] time spent inactive and in light PA was 613 [518-663] and 63 [30-97] minutes/day, respectively. PA peaked between 8 and 10 am, at 12 am and at 6 pm. Less than 10% of patients were considered physically active according to definition 2. For both definitions, active patients had a lower prevalence of walking aids and a lower dependency level according to Barthel Index score. For definition 1, use of medical equipment was associated with a 70% reduction in the likelihood of being active: odds ratio (OR) 0.30 [0.10-0.92] p = 0.034; for definition 2, use of walking aids was associated with a 75% reduction in the likelihood of being active: OR = 0.24 [0.06-0.89], p = 0.032.

conclusionOlder hospitalized patients are physically active only 10% of daily time and concentrate their PA around eating periods. Whether a Barthel Index below 95 prior to admission may be used to identify patients at risk of inactivity during hospital stay remains to be proven.

Indexed as

InpatientsAccelerometryAgedExerciseFemaleHospitalizationHumansMaleMonitoring, PhysiologicSwitzerlandTime FactorsWalkingWearable Electronic DevicesWristAgedAged, 80 and overInternal medicineObservational studyPhysical activity

Identifiers

PMID33008378
PMCPMC7532621

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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.