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

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 parameter...

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Main Authors: Cho, So Mi Jemma, Lee, Jung Hyun, Shim, Jee-Seon, Yeom, Hyungseon, Lee, Su Jin, Jeon, Yong Woo, Kim, Hyeon Chang
Format: Article
Language:English
Published: JMIR Publications 2020-10-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2020/10/e17435
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spelling doaj-0ee1a1a9a47b4885afdec4e8117303b92021-04-02T18:56:36ZengJMIR PublicationsJournal of Medical Internet Research1438-88712020-10-012210e1743510.2196/17435Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled TrialCho, So Mi JemmaLee, Jung HyunShim, Jee-SeonYeom, HyungseonLee, Su JinJeon, Yong WooKim, Hyeon Chang 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/NCT03300271https://www.jmir.org/2020/10/e17435
collection DOAJ
language English
format Article
sources DOAJ
author Cho, So Mi Jemma
Lee, Jung Hyun
Shim, Jee-Seon
Yeom, Hyungseon
Lee, Su Jin
Jeon, Yong Woo
Kim, Hyeon Chang
spellingShingle Cho, So Mi Jemma
Lee, Jung Hyun
Shim, Jee-Seon
Yeom, Hyungseon
Lee, Su Jin
Jeon, Yong Woo
Kim, Hyeon Chang
Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
Journal of Medical Internet Research
author_facet Cho, So Mi Jemma
Lee, Jung Hyun
Shim, Jee-Seon
Yeom, Hyungseon
Lee, Su Jin
Jeon, Yong Woo
Kim, Hyeon Chang
author_sort Cho, So Mi Jemma
title Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
title_short Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
title_full Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
title_fullStr Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
title_full_unstemmed Effect of Smartphone-Based Lifestyle Coaching App on Community-Dwelling Population With Moderate Metabolic Abnormalities: Randomized Controlled Trial
title_sort effect of smartphone-based lifestyle coaching app on community-dwelling population with moderate metabolic abnormalities: randomized controlled trial
publisher JMIR Publications
series Journal of Medical Internet Research
issn 1438-8871
publishDate 2020-10-01
description 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
url https://www.jmir.org/2020/10/e17435
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