Evidence map›Paper›PMID 34757317›Full record

ArticleJMIR aging2021

Feasibility of Real-time Behavior Monitoring Via Mobile Technology in Czech Adults Aged 50 Years and Above: 12-Week Study With Ecological Momentary Assessment.

Steriani Elavsky, Adam Klocek, Lenka Knapova, Martina Smahelova, David Smahel, Richard Cimler, Jitka Kuhnova

Open access · goldAbstract read
In one paragraph

Article in JMIR aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Challenges and Strategies: Nationwide Data Collection for an Internet-based Guided Relaxation Intervention in Sickle Cell Disease.Pain management nursing : official journal of the American Society of Pain Management Nurses · 2025
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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

7 authors at 3 institutions in 1 country.

Steriani Elavsky *Department of Human Movement Studies, University of Ostrava, Ostrava, Czech Republic.ORCID https://orcid.org/0000-0002-5070-0481
Adam Klocek *Faculty of Social Studies, Masaryk University, Brno, Czech Republic.ORCID https://orcid.org/0000-0002-0797-4890
Lenka Knapova *Department of Human Movement Studies, University of Ostrava, Ostrava, Czech Republic.ORCID https://orcid.org/0000-0002-1366-8961
Martina SmahelovaFaculty of Social Studies, Masaryk University, Brno, Czech Republic.ORCID https://orcid.org/0000-0001-6159-5501
David SmahelFaculty of Social Studies, Masaryk University, Interdisciplinary Research Team on Internet and Society, Brno, Czech Republic.ORCID https://orcid.org/0000-0003-2767-4331
Richard CimlerFaculty of Science, University of Hradec Karlove, Hradec Kralove, Czech Republic.ORCID https://orcid.org/0000-0001-6712-9894
Jitka KuhnovaFaculty of Science, University of Hradec Karlove, Hradec Kralove, Czech Republic.ORCID https://orcid.org/0000-0001-9223-5672
Masaryk University · CZUniversity of Hradec Králové · CZUniversity of Ostrava · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCzech older adults have lower rates of physical activity than the average population and lag behind in the use of digital technologies, compared with their peers from other European countries.

objectiveThis study aims to assess the feasibility of intensive behavior monitoring through technology in Czech adults aged ≥50 years.

methodsParticipants (N=30; mean age 61.2 years, SD 6.8 years, range 50-74 years; 16/30, 53% male; 7/30, 23% retired) were monitored for 12 weeks while wearing a Fitbit Charge 2 monitor and completed three 8-day bursts of intensive data collection through surveys presented on a custom-made mobile app. Web-based surveys were also completed before and at the end of the 12-week period (along with poststudy focus groups) to evaluate participants' perceptions of their experience in the study.

resultsAll 30 participants completed the study. Across the three 8-day bursts, participants completed 1454 out of 1744 (83% compliance rate) surveys administered 3 times per day on a pseudorandom schedule, 451 out of 559 (81% compliance rate) end-of-day surveys, and 736 episodes of self-reported planned physical activity (with 29/736, 3.9% of the reports initiated but returned without data). The overall rating of using the mobile app and Fitbit was above average (74.5 out of 100 on the System Usability Scale). The majority reported that the Fitbit (27/30, 90%) and mobile app (25/30, 83%) were easy to use and rated their experience positively (25/30, 83%). Focus groups revealed that some surveys were missed owing to notifications not being noticed or that participants needed a longer time window for survey completion. Some found wearing the monitor in hot weather or at night uncomfortable, but overall, participants were highly motivated to complete the surveys and be compliant with the study procedures.

conclusionsThe use of a mobile survey app coupled with a wearable device appears feasible for use among Czech older adults. Participants in this study tolerated the intensive assessment schedule well, but lower compliance may be expected in studies of more diverse groups of older adults. Some difficulties were noted with the pairing and synchronization of devices on some types of smartphones, posing challenges for large-scale studies.

Indexed as

Fitbithealth behaviormHealthmobile phoneolder adultsphysical activity

Identifiers

PMID34757317
PMCPMC8663589
OpenAlexW3177041257

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.