Evidence map›Paper›PMID 39790033›Full record

ArticleJournal of cachexia, sarcopenia and muscle2025

Cut-Off Points for Low Relative 30-s Sit-to-Stand Power and Their Associations With Adverse Health Conditions.

Mikel Garcia-Aguirre, Ivan Baltasar-Fernandez, Julian Alcazar, Jose Losa-Reyna, Ana Alfaro-Acha, Ignacio Ara, Leocadio Rodriguez-Mañas, Luis M Alegre, Francisco J Garcia-Garcia

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

9 authors.

Mikel Garcia-AguirreGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain.ORCID 0000-0003-2176-4459
Ivan Baltasar-FernandezGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain.ORCID 0000-0003-3434-623X
Julian AlcazarGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain.ORCID 0000-0002-1090-5482
Jose Losa-ReynaCentro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0001-9545-5654
Ana Alfaro-AchaCentro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-1898-9692
Ignacio AraGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain.ORCID 0000-0002-2854-6684
Leocadio Rodriguez-MañasCentro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0002-6551-1333
Luis M AlegreGENUD Toledo Research Group, Faculty of Sport Sciences, University of Castilla-La Mancha, Toledo, Spain.ORCID 0000-0002-4502-9275
Francisco J Garcia-GarciaCentro de Investigación Biomédica en Red Fragilidad y Envejecimiento Saludable (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain.ORCID 0000-0003-3690-6069

Funding

CIBERFES-Consorcio Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable CB16/10/00456CIBERFES-Consorcio Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable CB16/10/00464CIBERFES-Consorcio Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable CB16/10/00477FEDER 2022-GRIN-34296Government of Castilla-La Mancha 03031Government of Castilla-La Mancha SBPLY/19/180501/000312Instituto de Salud Carlos III PI031558Instituto de Salud Carlos III PI07/90306Instituto de Salud Carlos III PI07/90637Instituto de Salud Carlos III PI18/00972Instituto de Salud Carlos III RD 06/0013Plan Propio de Investigación of the University of Castilla-La ManchaSpanish Ministry of Innovation and Science (Red EXERNET-RED DE EJERCICIO FISICO Y SALUD 2022-134800-TSpanish Ministry of Innovation and Science (Red EXERNET-RED DE EJERCICIO FISICO Y SALUD REDUniversity of Castilla-La Mancha (Programa Investigo) 2024-INVGO-12359
6 · The paper itself

Abstract

backgroundDespite muscle power derived from the 5-rep sit-to-stand (STS) test having been demonstrated to be a valuable biomarker in older individuals, there is limited information regarding muscle power derived from the 30-s STS test, a widely used test in the clinical setting. This study aimed (i) to compare relative 30-s STS power values between older men and women, (ii) to identify cut-off points for low relative 30-s STS power, (iii) to compare the prevalence of low relative STS power between sexes and (iv) to evaluate the association of low relative 30-s STS power with adverse conditions in older people.

methodsA total of 1475 community-dwelling older adults (65-98 years; 45% men) from the Toledo Study for Healthy Aging were included. Relative STS power was assessed using the 30-s STS test and the Alcazar's equation. Adverse health conditions considered encompassed frailty, depression, disability in basic (BADL) and instrumental activities of daily living (IADL), cognitive impairment and low habitual gait speed (HGS).

resultsRelative STS power decreased linearly at an average rate of 1.0% year

conclusionRelative STS power decreased with increasing age in both men and women. The provided sex-specific cut-off points for low relative STS power using the 30-s STS test adequately identified older people with frailty and were associated with an increased risk of experiencing adverse conditions.

Indexed as

Muscle StrengthActivities of Daily LivingAgedAged, 80 and overFemaleFrailtyGeriatric AssessmentHumansMaleageingdisabilityfrailtyfunctional declinehealthy ageingmuscle power

Identifiers

PMID39790033
PMCPMC11718219

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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.