Evidence map›Paper›PMID 33034564›Full record

Trial reportJournal of medical Internet research2020

Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial.

So Mi Jemma Cho, Jung Hyun Lee, Jee-Seon Shim, Hyungseon Yeom, Su Jin Lee, Yong Woo Jeon, Hyeon Chang Kim

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03300271 (Effects of a Supportive Mobile Health for Life Style Modification on Blood Pressure and Insulin Resistance Improvement in People With Metabolic Abnormalities), which is not on this map. Cited by 26 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 6 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.

NCT03300271 nacompletednot on this map

Effects of a Supportive Mobile Health for Life Style Modification on Blood Pressure and Insulin Resistance Improvement in People With Metabolic Abnormalities

TypeinterventionalSponsorYonsei UniversityRan2017 to 2018Enrolled129ConditionsMetabolic SyndromeArmsMobile application for self monitoring, Education, Mobile application for personal coaching
3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026
    Pooled it
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  4. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Pooled it
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  14. Observational
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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.

So Mi Jemma Cho *Department of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0003-2460-3335
Jung Hyun Lee *Department of Medicine, the Graduate School of Yonsei University, Seoul, Republic of Korea.ORCID 0000-0001-7141-4532
Jee-Seon Shim *Cardiovascular and Metabolic Diseases Etiology Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-8671-3153
Hyungseon YeomDepartment of Medicine, the Graduate School of Yonsei University, Seoul, Republic of Korea.ORCID 0000-0002-8004-8244
Su Jin LeeDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-7325-2538
Yong Woo JeonDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0659-4159
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0001-7867-1240

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic disorders are established precursors to cardiovascular diseases, yet they can be readily prevented with sustained lifestyle modifications.

objectiveWe assessed the effectiveness of a smartphone-based weight management app on metabolic parameters in adults at high-risk, yet without physician diagnosis nor pharmacological treatment for metabolic syndrome, in a community setting.

methodsIn this 3-arm parallel-group, single-blind, randomized controlled trial, we recruited participants aged 30 to 59 years with at least 2 conditions defined by the Third Report of the National Cholesterol Education Program expert panel (abdominal obesity, high blood pressure, high triglycerides, low high-density lipoprotein cholesterol, and high fasting glucose level). Participants were randomly assigned (1:1:1) by block randomization to either the nonuser group (control), the app-based diet and exercise self-logging group (app only), or the app-based self-logging and personalized coaching from professional dieticians and exercise coordinators group (app with personalized coaching). Assessments were performed at baseline, week 6, week 12, and week 24. The primary outcome was change in systolic blood pressure (between baseline and follow-up assessments). Secondary outcomes were changes in diastolic blood pressure, body weight, body fat mass, waist circumference, homeostatic model of assessment of insulin resistance, triglyceride level, and high-density lipoprotein cholesterol level between baseline and follow-up assessments. Analysis was performed using intention-to-treat.

resultsBetween October 28, 2017 and May 28, 2018, 160 participants participated in the baseline screening examination. Participants (129/160, 80.6%) who satisfied the eligibility criteria were assigned to control (n=41), app only (n=45), or app with personalized coaching (n=43) group. In each group, systolic blood pressure showed decreasing trends from baseline (control: mean -10.95, SD 2.09 mmHg; app only: mean -7.29, SD 1.83 mmHg; app with personalized coaching: mean -7.19, SD 1.66 mmHg), yet without significant difference among the groups (app only: P=.19; app with personalized coaching: P=.16). Instead, those in the app with personalized coaching group had greater body weight reductions (control: mean -0.12, SD 0.30 kg; app only: mean -0.35, SD 0.36 kg, P=.67; app with personalized coaching: mean -0.96, SD 0.37 kg; P=.08), specifically by body fat mass reduction (control: mean -0.13, SD 0.34 kg; app only: mean -0.64, SD 0.38 kg, P=.22; app with personalized coaching: mean -0.79, SD 0.38 kg; P=.08).

conclusionsSimultaneous diet and exercise self-logging and persistent lifestyle modification coaching were ineffective in lowering systolic blood pressure but effective in losing weight and reducing body fat mass. These results warrant future implementation studies of similar models of care on a broader scale in the context of primary prevention.

trial registrationClinicalTrials.gov NCT03300271; http://clinicaltrials.gov/ct2/show/NCT03300271.

Indexed as

AdultFemaleHumansIndependent LivingMaleMetabolic SyndromeMiddle AgedMobile ApplicationsSingle-Blind MethodSmartphonehealth behaviorlifestyle modificationmetabolic healthmobile health

Identifiers

PMID33034564
PMCPMC7584978

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.