Evidence map›Paper›PMID 31215513›Full record

ArticleJMIR mHealth and uHealth2019

Feedback on Physical Activity Through a Wearable Device Connected to a Mobile Phone App in Patients With Metabolic Syndrome: Pilot Study.

Up Huh, Young Jin Tak, Seunghwan Song, Sung Woon Chung, Sang Min Sung, Chung Won Lee, Miju Bae, Hyo Young Ahn

Open access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

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  18. Effectiveness of App-Based Intervention to Improve Health Status of Sedentary Middle-Aged Males and Females.International journal of environmental research and public health · 2022
    Article
  19. The Boon of Technology: The Role of Digital Applications in Transforming Physical Activity Patterns among Smartwatch Users.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    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

8 authors at 1 institution in 1 country.

Up Huh *Department of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0002-7739-3979
Young Jin Tak *Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0002-4645-5866
Seunghwan SongDepartment of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0002-7492-2097
Sung Woon ChungDepartment of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0002-7978-8595
Sang Min SungBiomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0001-9697-6216
Chung Won LeeDepartment of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0002-1160-6003
Miju BaeDepartment of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0003-1555-4113
Hyo Young AhnDepartment of Thoracic and Cardiovascular Surgery, Pusan National University Hospital, Busan, Republic of Korea.ORCID 0000-0003-3198-8237
Pusan National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLittle is known of the effect of wearable devices on metabolic impairments in clinical settings. We hypothesized that a wearable device that can monitor and provide feedback on physical activity may help resolve metabolic syndrome.

objectiveThis study aimed to examine the objective effects of the use of these devices on metabolic syndrome resolution.

methodsPatients diagnosed with metabolic syndrome were recruited. Participants were prescribed regular walking using a wearable device (Coffee WALKIE +Dv.3, GC Healthcare CI, Korea) on their wrist for 12 weeks. Participants received self-feedback on the amount of their exercise through an app on their mobile phone. The information on physical activities of the participants was uploaded automatically to a website. Thus, a trained nurse could provide individuals with feedback regarding the physical activity via telephone consultation on alternate weeks. Blood pressure (BP), body composition, fasting plasma glucose, and lipid profiles were recorded. The primary outcome was metabolic syndrome resolution. The secondary outcome was an improvement in the components of metabolic impairment.

resultsOf the 53 participants recruited, 20 participants with a median age of 46 (range 36-50) years completed the trial. There was no significant difference in the amount of calorie expenditure at weeks 4, 8, and 12. After 12 weeks, metabolic syndrome was resolved in 9 of 20 participants (45%), and the mean number of metabolic impairment components per person decreased from 3.4 to 2.9. Particularly, the mean systolic and diastolic BP decreased from mean 136.6 (SD 18.5) mm Hg to mean 127.4 (SD 19.5) mm Hg and from mean 84.0 (SD 8.1) mm Hg to mean 77.4 (SD 14.4) mm Hg (both P=.02), respectively.

conclusionsThis study found that a 12-week intervention via feedback, based on a wearable physical activity monitor, helped metabolic syndrome patients to be more engaged in regular walking and it improved impaired metabolic components, especially in BP. However, some practical challenges regarding patients' adherence and sustained engagement were observed.

Indexed as

FeedbackAdultExerciseFemaleHumansMaleMetabolic SyndromeMiddle AgedMobile ApplicationsPilot ProjectsRepublic of KoreaWearable Electronic Deviceselectronic activity monitormetabolic syndromephysical activitywearable devices

Identifiers

PMID31215513
PMCPMC6604502
OpenAlexW2946205649

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.