Evidence map›Paper›PMID 37193576›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Health Provider's Feedback on Physical Activity Surveillance Using Wearable Device-Smartphone Application for Adults with Metabolic Syndrome; a 12-Week Randomized Control Study.

Minwoo Jang, Jong-Hwan Park, Gwon-Min Kim, Seunghwan Song, Up Huh, Du-Ri Kim, Minji Sung, Young Jin Tak

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Minwoo Jang *Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, South Korea.ORCID 0000-0001-5314-5578
Jong-Hwan Park *Health Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, South Korea.ORCID 0000-0003-2815-7248
Gwon-Min KimDepartment of Medical Research Institute, Pusan National University, Busan, 46241, South Korea.ORCID 0000-0001-7901-3506
Seunghwan SongHealth Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, South Korea.ORCID 0000-0002-7492-2097
Up HuhHealth Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, South Korea.ORCID 0000-0002-7739-3979
Du-Ri KimHealth Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, South Korea.ORCID 0000-0002-1406-3948
Minji SungHealth Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, South Korea.ORCID 0000-0002-1809-2471
Young Jin TakHealth Convergence Medicine Laboratory, Biomedical Research Institute, Pusan National University Hospital, Busan, 49241, South Korea.ORCID 0000-0002-4645-5866
Pusan National University Hospital · KRPusan National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Research on whether wearable device interventions can effectively prevent metabolic syndrome remains insufficient. This study aimed to evaluate the effect of feedback on clinical indicators in patients with metabolic syndrome on activities measured using wearable devices, such as smartphone apps. Methods: Patients with metabolic syndrome were recruited and prescribed to live for 12 weeks using a wrist-wearable device (B.BAND, B Life Inc., Korea). A block randomization method was used to distribute participants between the intervention (n=35) and control groups (n=32). In the intervention group, an experienced study coordinator provided feedback on physical activity to individuals through telephonic counseling every other week. Results: The mean number of steps in the control group was 8892.86 (4473.53), and those in the intervention group was 10,129.31 (4224.11). After 12 weeks, metabolic syndrome was resolved. Notably, there were statistically significant differences in the metabolic composition among the participants who completed the intervention. The mean number of metabolic disorder components per person remained at 3 in the control group, and decreased from 4 to 3 in the intervention group. Additionally, waist circumference, systolic and diastolic blood pressure, and triglyceride levels were significantly reduced, while HDL-cholesterol levels were significantly increased in the intervention group. Conclusion: Overall, 12 weeks of telephonic counseling intervention using wearable device-based physical activity confirmation improved the damaged metabolic components of patients with metabolic syndrome. Telephonic intervention can help increase physical activity and reduce waist circumference, which is a typical clinical indicator of metabolic syndrome.

Indexed as

metabolic syndromephysical activitywaist circumferencewearable device

Identifiers

PMID37193576
PMCPMC10183188
OpenAlexW4376115770

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.