Evidence map›Paper›PMID 36246516›Full record

ReviewDiabetes, metabolic syndrome and obesity : targets and therapy2022

Weight Reduction Interventions Using Digital Health for Employees with Obesity: A Systematic Review.

Yewon Lee, Na Young Lee, Hee Jeong Lim, Sumi Sung

Open access · goldAbstract readReview
In one paragraph

Review in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 5 pooled it
4.5field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 5 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Digital Wellness Programs in the Workplace: Meta-Review.Journal of medical Internet research · 2025
    Review
  11. Article
  12. Observational
  13. 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

4 authors at 2 institutions in 2 countries.

Yewon LeeCollege of Nursing, Seoul National University, Seoul, Republic of Korea.ORCID 0000-0002-0418-9002
Na Young LeeCollege of Nursing, Seoul National University, Seoul, Republic of Korea.
Hee Jeong LimCollege of Nursing, Seoul National University, Seoul, Republic of Korea.
Sumi SungBiomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.ORCID 0000-0003-3897-4698
Seoul National University · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to systematically review the literature on randomized controlled trials on weight reduction interventions using digital health for employees with obesity. Methods: All relevant articles published until September 2021 were systematically identified from six electronic databases: MEDLINE, EMBASE, CINAHL, PsycINFO, RISS, and KISS. Data selection and extraction were independently performed by three researchers. Methodological quality was assessed using the JBI Critical Appraisal Checklist for Randomized Controlled Trials. The results were narratively synthesized. Results: Eleven studies were included in the systematic review. All studies had a low risk of bias. The settings and sample sizes of the included studies were different. The contents of the interventions included nutrition, physical activity, behavioral change, incentives, and motivation. Four studies were based on social cognitive theory. A total of ten studies delivered web-based intervention, while the other used tele-monitoring device. A wide range of intervention strategies was used including providing online resources, tele-counseling, and patient-tailored advice. As a result of the intervention, a total of seven studies showed a significant weight reduction in both the intervention and comparison groups, with significant differences between groups. Conclusion: Until now, use of digital health in weight reduction interventions for employees with obesity has been conducted on a web-based. Various contents such as nutrition, physical activity and theories were explored. Further study is required using more diverse delivery methods such as mobile application, use of wearable devices.

Indexed as

digital healthobesityoccupational groupstelemedicineweight reduction

Identifiers

PMID36246516
PMCPMC9555217
OpenAlexW4304691986

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.