Evidence map›Paper›PMID 39534658›Full record

ArticleF1000Research2024

Young Adults Journey with Digital Fitness Tools-A Qualitative Study on Use of Fitness Tracking Device.

Asees Kaur Gulati, Rachel Edna Lobo, Nihala N, Vishweshwara Bhat, Neha Bora, Vaishali K, Mukesh Kumar Sinha

Abstract read
In one paragraph

Article in F1000Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

7 authors.

Asees Kaur GulatiDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Rachel Edna LoboDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Nihala NDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Vishweshwara BhatDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Neha BoraDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0009-0007-4348-1798
Vaishali KDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0001-5746-1682
Mukesh Kumar SinhaDepartment of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.ORCID https://orcid.org/0000-0002-7407-7153

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical activity trackers possess the potential to encourage increased physical activity. However, users often exhibit poor long-term adherence to these devices, which may stem from a lack of understanding of the factors influencing their use, as well as changes in health behavior. This study aims to provide new insights into the types of health-related apps and devices that young people discover, select, and utilize, along with the underlying reasons for their choices. Methods: Young adults aged between 18-25 years reporting the use and nonuse of health apps and wearables were recruited and participated in focus group discussions about app choice, features, their perceptions towards the physical activity trackers, and reasons for continued use and for not using one. A total of Nine FGDS were conducted among users, nonusers, and former users of physical activity tracker usage. Data was recorded, transcribed, and analyzed for themes in an iterative approach. Results: The physical activity tracker users group stated that they had a sense of achievement, validation, and other motivational feedback, which helped with adherence. All three groups (user, non-user, and former user) had similar concerns about cost, reliability, accuracy, and dependency. Former users also reported that the idea of accomplishing the goals would create anxiety and, in turn, harm the body. Former users and nonusers expressed their concerns regarding lack of time and loss of motivation to track their physical activity. Nonusers had issues with the functionality of the device (ease of use, battery, notifications, apps hang) and were also aware of all the health benefits of using wearables. Conclusion: Physical activity users group, former users group, and nonusers group shared concerns about accuracy, cost, and battery.

Indexed as

Fitness TrackersMobile ApplicationsQualitative ResearchAdolescentAdultExerciseFemaleFocus GroupsHumansMalePhysical FitnessYoung Adultbarriers and facilitatorsdeviceDigital trackingexercisefitnessmobile healthphysical activitywearablesyoung adults

Identifiers

PMID39534658
PMCPMC11555328

What OpenQuestion holds

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LicenceCC BY
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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.