Evidence map›Paper›PMID 35846178›Full record

ArticleClinical interventions in aging2022

Bestform-F - Best Function of Range of Motion: A Feasibility Study of a Multimodal Exercise Training Program for Older Adults in Retirement Homes.

Nina Schaller, Helge Krusemark, Esther Mende, Michael Weiß, Bianca Spanier, Otto Zelger, Jan Bischof, Bernhard Haller, Martin Halle, Monika Siegrist

Abstract read
In one paragraph

Article in Clinical interventions in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Nina SchallerDepartment of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.ORCID 0000-0003-2242-8852
Helge KrusemarkDepartment of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Esther MendeDepartment of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Michael WeißDepartment of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Bianca SpanierDepartment of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Otto ZelgerDepartment of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Jan BischofDepartment of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Bernhard HallerInstitute of AI and Informatics in Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Martin Halle *Department of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.
Monika Siegrist *Department of Prevention and Sports Medicine, School of Medicine, University Hospital 'rechts der Isar', Technical University of Munich, Munich, Germany.ORCID 0000-0001-9357-5185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Mobility is a crucial factor for independence and quality of life in old age. Nevertheless, many old people in retirement homes do not meet the physical activity recommendations. The aim of the Bestform-F - Best Function of Range of Motion feasibility study (bestform-F) was to evaluate the feasibility of implementing a machine-based multimodal exercise training program in older residents in retirement homes. Materials and Methods: The participants (n = 77) were recruited from two retirement homes and took part in a six-month multimodal exercise training program (2x/week, 45 minutes) on pneumatic strength training machines, a balance platform and bicycle ergometers. Feasibility criteria were recruitment number ≥ 35 participants within six months, dropout rate < 40% of participants within six months of exercise, and training adherence ≥ 50% of participants taking part in at least 50% of offered training sessions. Additionally, physical performance, fear of falling, cognitive function, and quality of life were assessed at baseline and after six months. Results: For the bestform-F study, 77 (85.6 ± 6.6 years; 78% women) out of 215 eligible residents from two senior residences were recruited. The dropout rate over six months was 10% (8/77 participants). The training adherence rate for the finishing participants was 77% (53/69 participants). In addition to the achieved feasibility criteria, significant improvements were recorded in the Chair Stand Test, Six-Minute Walk Test, and fear of falling after six months. Conclusion: All feasibility criteria have been fulfilled. The high number of recruited participants, the low dropout rate, and high adherence to the training program confirm the feasibility of a multimodal machine-based exercise training program offered to residents in retirement homes. The results provide a basis for a cluster-randomized controlled trial aimed at further investigating the efficacy of the bestform-F program.

Indexed as

Quality of LifeRetirementAgedExerciseExercise TherapyFearFeasibility StudiesFemaleHumansMaleRange of Motion, Articularbalancemachine-based exercisemobilityresistance trainingsarcopeniaseniors

Identifiers

PMID35846178
PMCPMC9286070

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.