Evidence map›Paper›PMID 34475622›Full record

ReviewBiology of sport2021

Applying digital technology to promote active and healthy confinement lifestyle during pandemics in the elderly.

Achraf Ammar, Bassem Bouaziz, Khaled Trabelsi, Jordan M Glenn, Piotr Zmijewski, Patrick Müller, Hamdi Chtourou, Mohamed Jmaiel, Karim Chamari, Tarak Driss and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biology of sport, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Trial
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  5. Digital Divides in Older People: Assessment of Digital Competencies and Proposals for Meaningful Inclusion.European journal of investigation in health, psychology and education · 2025
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  12. Review
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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

11 authors.

Achraf AmmarInstitute of Sport Sciences, Otto-von-Guericke University, 39104 Magdeburg, Germany.
Bassem BouazizHigher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax 3000, Tunisia.
Khaled TrabelsiHigh Institute of Sport and Physical Education, University of Sfax, Sfax 3000, Tunisia.
Jordan M GlennExercise Science Research Center, Department of Health, Human Performance and Recreation, University of Arkansas, Fayetteville, AR 72701, USA.
Piotr ZmijewskiInstitute of Sport - National Research Institute, 01-982 Warsaw, Poland.
Patrick MüllerGerman Center for Neurodegenerative Diseases (DZNE), 39104 Magdeburg, Germany.
Hamdi ChtourouHigh Institute of Sport and Physical Education, University of Sfax, Sfax 3000, Tunisia.
Mohamed JmaielDigital Research Centre of Sfax, Sfax 3000, Tunisia.
Karim ChamariASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar.
Tarak DrissInterdisciplinary Laboratory in Neurosciences, Physiology and Psychology: Physical Activity, Health and Learning (LINP2), UFR STAPS, UPL, Paris Nanterre University, Nanterre, France.
Anita HökelmannInstitute of Sport Sciences, Otto-von-Guericke University, 39104 Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although recognized as effective measures to curb the spread of the COVID19 outbreak, social distancing and home confinement have generated a mental health burden with older adults who are considered to be more vulnerable to psychosocial strains. To date, the application of digital technologies in response to COVID-19 pandemic has been narrowed to public-health needs related to containment and mitigation. However, information and communications technology (ICT)-based initiatives directed toward prediction and prevention of psychosocial support are still limited. Given the power of digital health solutions to allow easy and accurate characterization and intervention for health and disease, as well as to flatten the COVID19 incidence curves in many countries, our ECLB-COVID19 consortium is highlighting the importance of providing innovative ICT-based solutions (ICT-COVID-Companion) to improve elderly physical and mental health, thereby preventing/dampening psychosocial strain during pandemics. Based on innovative approaches (e.g., emotional/social computing, open social platform, interactive coaching, gamification, fitness-tracker, internet of things) and smart digital solutions (smartwatch/smartphone), smart companions must provide safe personalised physical, mental and psychosocial health surveillance. Additionally, by delivering personalised multi-dimension crisis-oriented health recommendations, such innovative crisis-oriented solutions would help (i) facilitate a user's adherence to active and healthy confinement lifestyle (AHCL), (ii) achieve a rapid psychosocial recovery in case of depression issues and (iii) enhance preparedness for eventual future pandemics.

Indexed as

Digital healthHome confinementInformation and communicationsMental healthPhysical activityPsychosocial strainSARS-CoV-2Seniorstechnology (ICT)

Identifiers

PMID34475622
PMCPMC8329971

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.