Evidence map›Paper›PMID 36674281›Full record

ArticleInternational journal of environmental research and public health2023

Designing an App to Promote Physical Exercise in Sedentary People Using a Day-to-Day Algorithm to Ensure a Healthy Self-Programmed Exercise Training.

Antonio Casanova-Lizón, José M Sarabia, Diego Pastor, Alejandro Javaloyes, Iván Peña-González, Manuel Moya-Ramón

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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 at 1 institution in 1 country.

Antonio Casanova-LizónSports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-6654-2422
José M SarabiaSports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-1917-6634
Diego PastorDepartment of Sport Sciences, Miguel Hernandez University, Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain.ORCID 0000-0002-2884-6580
Alejandro JavaloyesSports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0003-2689-4244
Iván Peña-GonzálezSports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0001-6810-0911
Manuel Moya-RamónSports Research Centre, Department of Sport Sciences, Miguel Hernández University of Elche, 03202 Elche, Spain.ORCID 0000-0002-2291-5899
Universitat de Miguel Hernández d'Elx · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart rate variability (HRV) has allowed the implementation of a methodology for daily decision making called day-to-day training, which allows data to be recorded by anyone with a smartphone. The purpose of the present work was to evaluate the validity and reliability of HRV measurements with a new mobile app (Selftraining UMH) in two resting conditions. Twenty healthy people (10 male and 10 female) were measured at rest in supine and seated positions with an electrocardiogram and an application for smartphones at the same time (Selftraining UMH) using recordings obtained through an already validated chest-worn heart rate monitor (Polar H10). The Selftraining UMH app showed no significant differences compared to an electrocardiogram, neither in supine nor in sitting position (p > 0.05) and they presented almost perfect correlation levels (r ≥ 0.99). Furthermore, no significant differences were found between ultra-short (1-min) and short (5-min) length measurements. The intraclass correlation coefficient showed excellent reliability (>0.90) and the standard error of measurement remained below 5%. The Selftraining UMH smartphone app connected via Bluetooth to the Polar H10 chest strap can be used to register daily HRV recordings in healthy sedentary people.

Indexed as

Mobile ApplicationsAlgorithmsExerciseFemaleHeart RateHumansMaleReproducibility of ResultsSmartphoneappexercise trainingheart rate variabilityshort and ultra-short measurements

Identifiers

PMID36674281
PMCPMC9861270
OpenAlexW4316664753

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.