Evidence map›Paper›PMID 36053442›Full record

Observational studyAging clinical and experimental research2022

Are vertical jumps able to predict 24-month follow-up functional geriatric assessment in a healthy community-dwelling older cohort?

Rebecca Diekmann, Sandra Hellmers, Sandra Lau, Andrea Heinks, Lena Elgert, Juergen M Bauer, Tania Zieschang, Andreas Hein

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Aging clinical and experimental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 46% 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

3 citing papers in PubMed, 2 syntheses or guidelines pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
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 2 institutions in 1 country.

Rebecca DiekmannAssistance Systems and Medical Device Technology, Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstr. 140, 26129, Oldenburg, Germany. rebecca.diekmann@uol.de.ORCID http://orcid.org/0000-0001-9793-3832
Sandra HellmersAssistance Systems and Medical Device Technology, Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstr. 140, 26129, Oldenburg, Germany.
Sandra LauGeriatric Medicine, Agaplesion Bethanien Krankenhaus Heidelberg, Ruprecht-Karls-University, Heidelberg, Germany.
Andrea HeinksAssistance Systems and Medical Device Technology, Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstr. 140, 26129, Oldenburg, Germany.
Lena ElgertAssistance Systems and Medical Device Technology, Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstr. 140, 26129, Oldenburg, Germany.
Juergen M BauerGeriatric Medicine, Agaplesion Bethanien Krankenhaus Heidelberg, Ruprecht-Karls-University, Heidelberg, Germany.
Tania ZieschangGeriatric Medicine, Department of Health Services Research, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany.
Andreas HeinAssistance Systems and Medical Device Technology, Department of Health Services Research, School of Medicine and Health Sciences, Carl von Ossietzky University of Oldenburg, Ammerlaender Heerstr. 140, 26129, Oldenburg, Germany.
Carl von Ossietzky Universität Oldenburg · DEHeidelberg University · DE

Funding

Bundesministerium für Bildung und Forschung 01EL1422D
6 · The paper itself

Abstract

backgroundWhen older adults fall below the thresholds of functional geriatric assessment (FGA), they may already be at risk of mobility impairment. A reduction in (jumping) power could be an indication of functional decline, one of the main risk factors for falls.

objectiveThis paper explores whether six-month delta (∆) values of muscle power can predict 24-month follow-up FGA in older adults.

methodsThis observational study of independent, healthy, high-performing community-dwelling adults aged 70 + years involved FGA (mobility, balance, and endurance tests) at baseline (t

resultsIn 176 individuals (60% female, mean age 75.3 years) the mean percentage (SD) between predicted and measured FGA ranged between 0.4 (51.3) and 18.11 (51.9). Sensitivity to identify the CMC or MDC of predicted FGA tests at t

conclusionThe potential of jumping power to predict single tests of FGA was low regarding sensitivity and specificity of CMC (or MDC). 6 months Δmax JP seem to be suitable for predicting physical function, if the measured and predicted tests were not compared at the test level, but globally, in the target group in the long term.

Indexed as

Geriatric AssessmentIndependent LivingAgedCohort StudiesFemaleFollow-Up StudiesHealth StatusHumansMaleFallsGeriatric medicineMuscle strengthPhysical performancePrevention

Identifiers

PMID36053442
PMCPMC9675680
OpenAlexW4294204352

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.