Evidence map›Paper›PMID 35675126›Full record

ArticleJournal of medical Internet research2022

mHealth Research for Weight Loss, Physical Activity, and Sedentary Behavior: Bibliometric Analysis.

Chieh-Chen Wu, Chih-Wei Huang, Yao-Chin Wang, Md Mohaimenul Islam, Woon-Man Kung, Yung-Ching Weng, Chun-Hsien Su

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Mobile Interventions for Reducing Sedentary Behavior and Promoting Physical Activity Among Office Workers: Bibliometric Study.Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Review
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  10. Artificial Intelligence in Dementia: A Bibliometric Study.Diagnostics (Basel, Switzerland) · 2023
    Article
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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.

Chieh-Chen WuDepartment of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan.ORCID 0000-0003-2205-5849
Chih-Wei HuangInternational Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0002-2551-6199
Yao-Chin WangGraduate Institute of Injury Prevention and Control, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0002-0094-8016
Md Mohaimenul IslamInternational Center for Health Information Technology, College of Medical Science and Technology, Taipei Medical University, Taipei, Taiwan.ORCID 0000-0001-6026-2748
Woon-Man KungDepartment of Exercise and Health Promotion, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan.ORCID 0000-0001-8311-2902
Yung-Ching WengDepartment of Healthcare Information and Management, School of Health Technology, Ming Chuan University, Taipei, Taiwan.ORCID 0000-0002-7812-6856
Chun-Hsien SuGraduate Institute of Sport Coaching Science, College of Kinesiology and Health, Chinese Culture University, Taipei, Taiwan.ORCID 0000-0003-2331-7927

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch into mobile health (mHealth) technologies on weight loss, physical activity, and sedentary behavior has increased substantially over the last decade; however, no research has been published showing the research trend in this field.

objectiveThe purpose of this study was to provide a dynamic and longitudinal bibliometric analysis of recent trends of mHealth research for weight loss, physical activity, and sedentary behavior.

methodsA comprehensive search was conducted through Web of Science to retrieve all existing relevant documents published in English between January 1, 2010, and November 1, 2021. We developed appropriate research questions; based on the proven bibliometric approaches, a search strategy was formulated to screen the title for eligibility. Finally, we conducted bibliometric analyses to explore the growth rate of publications; publication patterns; and the most productive authors, institutions, and countries, and visualized the trends in the field using a keyword co-occurrence network.

resultsThe initial search identified 8739 articles, of which 1035 were included in the analyses. Our findings show an exponential growth trend in the number of annual publications of mHealth technology research in these fields. JMIR mHealth and uHealth (n=214, 20.67%), Journal of Medical Internet Research (n=71, 6.86%), and BMC Public Health (n=36, 3.47%) were the top 3 journals, publishing higher numbers of articles. The United States remained the leading contributor in these areas (n=405, 39.13%), followed by Australia (n=154, 14.87%) and England (n=125, 12.07%). Among the universities, the University of Sydney (n=36, 3.47%) contributed the most mHealth technology research in these areas; however, Deakin University (n=25, 2.41%) and the National University of Singapore (n=23, 2.22%) were in the second and third positions, respectively.

conclusionsAlthough the number of papers published on mobile technologies for weight loss, physical activity, and sedentary behavior was initially low, there has been an overall increase in these areas in recent years. The findings of the study indicate that mobile apps and technologies have substantial potential to reduce weight, increase physical activity, and change sedentary behavior. Indeed, this study provides a useful overview of the publication trends and valuable guidance on future research directions and perspectives in this rapidly developing field.

Indexed as

BibliometricsSedentary BehaviorTelemedicineExerciseHumansUnited StatesWeight Lossappbehaviorbibliometricbibliometric analysisjournalliteraturemHealthmobile healthphysical activityresearchsedentary behaviortrendweightweight loss

Identifiers

PMID35675126
PMCPMC9218882

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.