Evidence map›Paper›PMID 35885634›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Effective Prevention and Management Tools for Metabolic Syndrome Based on Digital Health-Based Lifestyle Interventions Using Healthcare Devices.

Jung-Hun Lee, Kang-Hyun Lee, Hee-Jin Kim, Hyun Youk, Hee-Young Lee

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-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

11 citing papers in PubMed, 21 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Jung-Hun LeeDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea.ORCID 0000-0002-4799-6277
Kang-Hyun LeeDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea.
Hee-Jin KimDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea.
Hyun YoukDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea.ORCID 0000-0002-4631-1504
Hee-Young LeeDepartment of Emergency Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea.ORCID 0000-0003-3254-2261
Yonsei University · KR

Funding

Ministry of Trade, Industry and Energy R0006229
6 · The paper itself

Abstract

Digital health-based lifestyle interventions (e.g., mobile applications, short messaging service, wearable devices, social media, and interactive websites) are widely used to manage metabolic syndrome (MetS). This study aimed to confirm the utility of self-care for prevention or management of MetS. We recruited 106 participants with one or more MetS risk factors from December 2019 to September 2020. Participants were provided five healthcare devices and applications. Characteristics were compared at baseline and follow-up to examine changes in risk factors, engagement, persistence, and physical activity (analyzed through device use frequency and lifestyle interventions performed). Participants with 1-2 MetS risk factors showed statistically significant reductions in waist circumference (WC) and blood pressure (BP). Participants with ≥3 MetS risk factors showed statistically significant reductions in risk factors including weight, body mass index, WC, BP, and fasting blood sugar (FBS). The prevention and improvement groups used more healthcare devices than the other groups. Smartwatch was the most frequently used device (5 times/week), and physical activity logged more than 7000 steps/week. WC, BP, and FBS of the improvement group were reduced by more than 40%. Based on engagement, persistence, and physical activity, digital health-based lifestyle interventions could be helpful for MetS prevention and management.

Indexed as

digital-health-based lifestyle interventionhealthcarehealth information managementmetabolic syndrome

Identifiers

PMID35885634
PMCPMC9324676
OpenAlexW4285732834

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.