Evidence map›Paper›PMID 39905293›Full record

ArticleBMC geriatrics2025

Exploring predictors of the five-time sit-to-stand test based on cross-sectional findings from the Swedish National Study on Aging and Care (SNAC).

Joakim Niklasson, Cecilia Fagerström, Sofia Backåberg, Patrick Bergman, Terese Lindberg

Abstract read
In one paragraph

Article in BMC geriatrics, 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

5 authors.

Joakim NiklassonFaculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden. joakim.niklasson@lnu.se.
Cecilia FagerströmFaculty of Health and Life Sciences, Linnaeus University, Kalmar, Sweden.
Sofia BackåbergFaculty of Health and Life Sciences, Linnaeus University, Växjö, Sweden.
Patrick BergmanFaculty of Health and Life Sciences, Department of Medicine and Optometry, Linnaeus University, eHealth Institute, Kalmar, Sweden.
Terese LindbergDepartment of Health, Blekinge Institute of Technology, Karlskrona, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs we age, staying physically active and reducing sedentary behavior becomes crucial. To understand how to achieve this, factors related to daily physical function such as five-time sit-to-stand (STS) time should be explored. This study aimed to investigate the associations between STS time, self-rated physical activity, physical function, health-related quality of life, physical and mental health in community-dwelling older adults aged ≥ 60 years.

methodCross-sectional design with self-reported and objectively measured data from adults aged ≥ 60 years (n = 819), acquired from the Swedish National Study on Aging and Care. Data was analyzed through multiple linear regression.

resultsThe model (R

conclusionThe model highlights the importance of grip strength and health-related quality of life in predicting STS time in older adults. Clinicians can use these insights to develop interventions that maintain physical function by regularly assessing and monitoring these factors. Future research should explore the relationship between fall history, faster STS time, and the impact of grip strength and health-related quality of life on sedentary behavior among older adults.

Indexed as

AgingExerciseQuality of LifeSitting PositionStanding PositionAgedAged, 80 and overCross-Sectional StudiesFemaleHand StrengthHumansMaleMiddle AgedSwedenTime FactorsAgingBalancePhysical activityPhysical functionQuality of lifeSedentary behaviorSit-to-stand

Identifiers

PMID39905293
PMCPMC11796161

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.