Evidence map›Paper›PMID 34118878›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2021

Change of physical activity parameters of hip and pelvic fracture patients during inpatient rehabilitation and after discharge: analysis of global and in-depth parameters.

Karin Kampe, Klaus Pfeiffer, Ulrich Lindemann, Daniel Schoene, Kristin Taraldsen, Kilian Rapp, Clemens Becker, Jochen Klenk

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In one paragraph

Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Karin KampeDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Klaus PfeifferDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Ulrich LindemannDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Daniel SchoeneInstitute of Medical Physics, Friedrich-Alexander-University Erlangen-Nürnberg, Henkestr. 91, 91052, Erlangen, Germany.
Kristin TaraldsenDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, N-7491, Trondheim, Norway.
Kilian RappDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Clemens BeckerDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany.
Jochen KlenkDepartment of Clinical Gerontology, Robert-Bosch-Hospital, Auerbachstr. 110, 70376, Stuttgart, Germany. jochen.klenk@rbk.de.
Robert Bosch Hospital · DEHelmholtz-Institute Ulm · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DENorwegian University of Science and Technology · NO

Funding

Bundesministerium für Bildung und Forschung 01EC1007A
6 · The paper itself

Abstract

backgroundA growing number of older adults suffer hip and pelvic fractures leading to hospital admission. They often result in reduced physical activity (PA) and impaired mobility. PA can be objectively measured with body-worn sensors. Usually, global cumulative PA parameters are analysed, such as walking duration, upright-time and number of steps. These traditional parameters mix different domains of PA, such as physical capacity (PC), behaviour and living environment. We examined the change of global cumulative PA measures during rehabilitation and after discharge in patients with hip or pelvic fracture and whether more 'in-depth' PA parameters, such as walking interval length, variability of interval length and sit-to-stand transitions and their changes during rehabilitation and 3 months after discharge might better reflect the above mentioned three clinically relevant domains of PA.

methodsThis study is a secondary data analysis of a randomised controlled trial to improve PA and fall-related self-efficacy in hip or pelvic fracture patients (≥60 years) with concerns about falling. Changes of accelerometer-measured global cumulative and in-depth PA parameters (activPAL3) were analysed in an observational design before and after discharge combining both groups. For comparison, the same analyses were applied to the traditional PC measures gait speed and 5-chair-rise.

resultsSeventy-five percent of the 111 study participants were female (mean age: 82.5 (SD = 6.76) years. Daily walking duration, upright time and number of steps as aspects of global PA increased during inpatient rehabilitation as well as afterwards. The in-depth PA parameters showed differing patterns. While the total number of walking bouts increased similarly, the number of longer walking bouts decreased by 50% after discharge. This pattern was also seen for the average walking interval length, which increased by 2.34 s (95% confidence interval (CI): 0.68; 4.00) during inpatient rehabilitation and decreased afterwards below baseline level (- 4.19 s (95% CI: - 5.56; - 2.82)). The traditional PC measures showed similar patterns to the in-depth PA parameters with improvements during rehabilitation, but not at home.

conclusionOur findings suggest that the in-depth PA parameters add further information to the global cumulative PA parameters. Whereas global cumulative PA parameters improved significantly during inpatient rehabilitation and after discharge, in-depth PA parameters as well as PC did not continuously improve at home. In contrast to global cumulative PA parameters the in-depth parameters seem to reflect contextual factors such as the build environment and aspects of PC, which are traditionally assessed by clinical PC measures. These in combination with digital mobility measures can help clinicians to assess the health status of fragility fracture patients, individually tailor therapy measures and monitor the rehabilitation process.

Indexed as

Body-worn sensorsDigital mobility outcomesHip fractureMobilityOlder peoplePelvic fracturePhysical activity

Identifiers

PMID34118878
PMCPMC8199557
OpenAlexW3171072535

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.