Evidence map›Paper›PMID 32379838›Full record

ArticlePloS one2020

Prediction equation for estimating cognitive function using physical fitness parameters in older adults.

Gian Pietro Emerenziani, Maria Grazia Vaccaro, Giulia Izzo, Francesca Greco, Luca Rotundo, Roberto Lacava, Sandro La Vignera, Aldo Eugenio Calogero, Andrea Lenzi, Antonio Aversa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
2.2field-weighted citation impact, top 13% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  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

10 authors at 3 institutions in 1 country.

Gian Pietro EmerenzianiDepartment of Experimental and Clinical Medicine, University of Catanzaro "Magna Græcia", Catanzaro, Italy.ORCID 0000-0002-5426-5317
Maria Grazia VaccaroNeuroscience Centre, Magna Graecia University, Catanzaro, Italy.
Giulia IzzoDepartment of Experimental and Clinical Medicine, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Francesca GrecoDepartment of Experimental and Clinical Medicine, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Luca RotundoDepartment of Experimental and Clinical Medicine, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Roberto LacavaPST Umberto Primo, DSS CZ Ambulatorio Geriatria Disturbi Cognitive e Demenze, Catanzaro, Italy.
Sandro La VigneraDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Aldo Eugenio CalogeroDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.
Andrea LenziDepartment of Experimental Medicine, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Antonio AversaDepartment of Experimental and Clinical Medicine, University of Catanzaro "Magna Græcia", Catanzaro, Italy.
Magna Graecia University · ITUniversity of Catania · ITPoliclinico Umberto I · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing is associated with declines in cognitive functions and physical fitness (PF). Physical exercise training and physical activity (PA) have been shown to have positive effects on cognitive functions and brain plasticity. This study aims to establish a practical equation for evaluating cognitive functions using PF parameters in healthy older adults. One-hundred and two older subjects were physically and clinically evaluated. Participants performed the Short Physical Performance Battery (SPPB) and handgrip test (HG); general cognitive functions were examined using the Mini Mental State Examination (MMSE). For all of them, a multiple regression analysis was used to predict MMSE from age, SPPB and HG variables. The new equation was cross validated to determine its prediction accuracy. Considering that SPPB and MMSE reference score are not different between genders, only one equation was developed for females and males. Age, SPPB and HG correlated significantly (p<0.01) with the MMSE score. The developed equation was MMSE = 19.479 + (1.548 x SPPB)-(0.130 x age) (R2 = 0.72 and root mean square errors of 3.6). The results of PF are useful for exercise specialists to achieve the best physical exercise training and PA in older adults. In conclusion, this study showed for the first time that our new equation can be used to predict subjects' cognitive functions based on SPPB results and subject age. We suggest its use when patients' cognitive functions or more appropriate clinical tests cannot be pursued.

Indexed as

CognitionHand StrengthMental Status and Dementia TestsPhysical FitnessAgedAgingCognitive DysfunctionFemaleHumansMale

Identifiers

PMID32379838
PMCPMC7205244
OpenAlexW3021302678

What OpenQuestion holds

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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.