Evidence map›Paper›PMID 35161955›Full record

ArticleSensors (Basel, Switzerland)2022

Telehealth Secure Solution to Provide Childhood Obesity Monitoring.

Elitania Jiménez-García, Miguel Ángel Murillo-Escobar, Jesús Fontecha-Diezma, Rosa Martha López-Gutiérrez, Liliana Cardoza-Avendaño

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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 2 institutions in 2 countries.

Elitania Jiménez-GarcíaEngineering, Architecture and Design Faculty, Autonomous University of Baja California (UABC), Ensenada 22860, Baja California, Mexico.ORCID 0000-0002-2592-2859
Miguel Ángel Murillo-EscobarEngineering, Architecture and Design Faculty, Autonomous University of Baja California (UABC), Ensenada 22860, Baja California, Mexico.ORCID 0000-0003-1350-0648
Jesús Fontecha-DiezmaDepartment of Information Systems and Technologies, University of Castilla-La Mancha, 13071 Ciudad Real, Spain.ORCID 0000-0001-6379-6841
Rosa Martha López-GutiérrezEngineering, Architecture and Design Faculty, Autonomous University of Baja California (UABC), Ensenada 22860, Baja California, Mexico.ORCID 0000-0003-1205-2425
Liliana Cardoza-AvendañoEngineering, Architecture and Design Faculty, Autonomous University of Baja California (UABC), Ensenada 22860, Baja California, Mexico.
Universidad Autónoma de Baja California · MXUniversity of Castilla-La Mancha · ES

Funding

Consejo Nacional de Ciencia y Tecnología A1-S-31628
6 · The paper itself

Abstract

Childhood obesity causes not only medical and psychosocial problems, it also reduces the life expectancy of the adults that they will become. On a large scale, obese adults adversely affect labor markets and the gross domestic product of countries. Monitoring the growth charts of children helps to maintain their body weight within healthy parameters according to the World Health Organization. Modern technologies allow the use of telehealth to carry out weight control programs and monitoring to verify children's compliance with the daily recommendations for risk factors that can be promoters of obesity, such as insufficient physical activity and insufficient sleep hours. In this work, we propose a secure remote monitoring and supervision scheme of physical activity and sleep hours for the children based on telehealth, multi-user networks, chaotic encryption, and spread spectrum, which, to our knowledge, is the first attempt to consider this service for safe pediatric telemedicine. In experimental results, we adapted a recent encryption algorithm in the literature for the proposed monitoring scheme using the assessment of childhood obesity as an application case in a multi-user network to securely send and receive fictitious parameters on childhood obesity of five users through the Internet by using just one communication channel. The results show that all the monitored parameters can be transmitted securely, achieving high sensitivity against secret key, enough secret key space, high resistance against noise interference, and 4.99 Mb/sec in computational simulations. The proposed scheme can be used to monitor childhood obesity in secure telehealth application.

Indexed as

Pediatric ObesityTelemedicineAdultAlgorithmsChildExerciseHumansMonitoring, Physiologicchaosmultiuser networkobesityspread spectrumtelehealth

Identifiers

PMID35161955
PMCPMC8840740
OpenAlexW4210748764

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.