Evidence map›Paper›PMID 40981289›Full record

ArticleGeriatrics (Basel, Switzerland)2025

Floor-to-Stand Transfers in Older Adults: Insights into Strategies and Lower Extremity Demands.

Lyndsay Stutzenberger, Tyler Whited

Abstract read
In one paragraph

Article in Geriatrics (Basel, Switzerland), 2025. 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

2 authors.

Lyndsay StutzenbergerDoctor of Physical Therapy Program, Division of Health and Behavioral Sciences, College of Allied Health, George Fox University, Newberg, OR 97312, USA.
Tyler WhitedDivision of Health and Behavioral Sciences, Kinesiology Department, College of Allied Health, George Fox University, Newberg, OR 97312, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesGetting up from the floor is an important functional skill for independence in older adults but is not often assessed clinically. The purpose of this study was to investigate how floor-to-stand transfer (FTS) ability is related to self-report measures and five-time sit-to-stand (5XSTS) performance, as well as compare peak joint angles during common FTS strategies and lower extremity demands between the 5XSTS and a commonly instructed FTS strategy.

methodsThirty-four community-dwelling older adults completed self-report measures and performed the 5XSTS, a FTS in a self-selected manner, and an instructed FTS strategy. Biomechanical analysis of the lower extremities was used to determine peak joint angles, moments, and powers during study tasks. Correlation analyses were used to determine associations between FTS time and self-report scores, 5XSTS time, and lower extremity demands during the 5XSTS. One-way analysis of variance (ANOVA) and Kruskal-Wallis tests were used to determine the differences in self-report measures, 5XSTS performance, and FTS time between self-selected FTS strategies. Lower extremity demands between the 5XSTS and the instructed FTS strategy were compared with Wilcoxon Signed-Rank tests.

resultsSelf-report measures were not associated with FTS time or different between FTS strategies. Knee flexion was greater in the roll-over compared to the quadruped strategy (

conclusionsThe study findings may improve clinical decision-making related to FTS assessment and interventions in older adults. Prescribing exercises with greater hip and ankle demand than the 5XSTS may help maximize FTS ability.

Indexed as

five times sit to standfloor-to-stand transfergetting up from the floorolder adults

Identifiers

PMID40981289
PMCPMC12452367

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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.