Evidence map›Paper›PMID 39849425›Full record

ArticleBMC public health2025

Relationship between handgrip strength and timed up-and-go test on hospitalization costs in older adults: a population-based study.

Kevin Yiqiang Chua, Kelvin Bryan Tan, Rachel Tong, Jon Barrenetxea, Woon-Puay Koh, Cynthia Chen

Abstract read
In one paragraph

Article in BMC public health, 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

6 authors.

Kevin Yiqiang ChuaIntegrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore, Singapore, Singapore.
Kelvin Bryan TanMinistry of Health, Singapore, Singapore.
Rachel TongMinistry of Health, Singapore, Singapore.
Jon BarrenetxeaHealth Services and Systems Research, Duke-NUS Medical School Singapore, Singapore, Singapore.
Woon-Puay KohHealthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Cynthia ChenSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. ephchc@nus.edu.sg.

Funding

National Medical Research Council MOH-001315-01National Medical Research Council NMRC/CSA/0055/2013
6 · The paper itself

Abstract

backgroundWeak handgrip strength and slow timed up-and-go (TUG) time are known risk factors for hospitalization among older adults; however, few studies have investigated the relationships between these physical tests and future hospitalization costs.

methodsWe used data from 13,613 participants in the population-based Singapore Chinese Health Study who underwent assessment for handgrip strength and TUG time at a mean age of 74 years. Hospitalization costs for the subsequent year, among those who survived for at least one year thereafter, were ascertained via linkage with administrative healthcare finance data. We analyzed costs using a two-part model that contained a probit regression model in the first part, and a generalized linear regression model with gamma distribution and log link in the second.

resultsHandgrip strength showed a dose-dependent inverse relationship with hospitalization costs (P

conclusionsWeak handgrip strength and slow TUG time were independently associated with increased hospitalization costs among older adults.

Indexed as

Geriatric AssessmentHand StrengthHospital CostsHospitalizationAgedAged, 80 and overFemaleHumansMaleRisk FactorsSingaporeCostExpenditureGripHealthcareMusclePerformancePhysicalStrengthTimed-up-and-goTUG

Identifiers

PMID39849425
PMCPMC11760691

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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.