Evidence map›Paper›PMID 37624126›Full record

ArticleSports (Basel, Switzerland)2023

Using a Standing Heel-Rise Test as a Predictor of Ankle Muscle Strength in the Elderly.

Weerasak Tapanya, Sinthuporn Maharan, Noppharath Sangkarit, Puttipong Poncumhak, Saisunee Konsanit

Open access · goldAbstract read
In one paragraph

Article in Sports (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Smartphone Assessment of the Sitting Heel-Rise Test.Sensors (Basel, Switzerland) · 2024
    Article
  4. 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 at 1 institution in 1 country.

Weerasak TapanyaDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-7080-5213
Sinthuporn MaharanDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.
Noppharath SangkaritDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0003-4622-5638
Puttipong PoncumhakDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.ORCID 0000-0002-7788-7151
Saisunee KonsanitDepartment of Physical Therapy, School of Allied Health Sciences, University of Phayao, Phayao 56000, Thailand.
University of Phayao · TH

Funding

University of Phayao (Grant No. RD62068) and Co-Funding with Thailand Science Research and Innovation funds and the University of Phayao, Units of Excellent Human Potential Development and Herbs (Grant No. FF66-UoE025). RD62068 and FF66-UoE025
6 · The paper itself

Abstract

The senior population is at increased risk of falling due to a reduction in ankle muscle strength. Evaluating the strength of the ankle muscles in older adults is of paramount importance. The purpose of this study was to formulate an equation to estimate ankle muscle strength by utilizing the basic physical characteristics of the subject and the variables related to their ability to perform the standing heel-rise test (SHRT). One hundred and thirty-two healthy elderly participants (mean age 67.30 ± 7.60) completed the SHRT and provided demographic information. Ankle plantar flexor (PF) muscle strength was evaluated using a push-pull dynamometer. Multiple regression analysis was utilized to develop a prediction equation for ankle PF muscle strength. The study revealed that the ankle PF strength equation was derived from variables including the power index of the SHRT, gender, age, calf circumference, and single-leg standing balance test. The equation exhibited a strong correlation (r = 0.816) and had a predictive power of 65.3%. The equation is represented as follows: ankle PF strength = 24.31 - 0.20(A) + 8.14(G) + 0.49(CC) + 0.07(SSEO) + 0.20(BW/t-SHRT). The equation had an estimation error of 5.51 kg. The strength of ankle PFs in elderly individuals can be estimated by considering demographic variables, including gender, age, calf circumference, single-leg standing balance test, and the power index of the SHRT. These factors were identified as significant determinants of ankle PF strength in this population.

Indexed as

balancedemographic dataisometric dynamometerolder adultsprediction

Identifiers

PMID37624126
PMCPMC10459321
OpenAlexW4385491764

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.