ArticleJMIR mHealth and uHealth2015
The Effectiveness of Mobile Phone-Based Care for Weight Control in Metabolic Syndrome Patients: Randomized Controlled Trial.
Article in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01344811 (A Randomized, Open, Parallel, Multi-center Trial to Evaluate Weight Loss Efficacy of Smart Care Service in Obese Patients With Metabolic Syndrome.), which is not on this map. Cited by 35 papers, 10 of them syntheses that pooled 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.
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.
A Randomized, Open, Parallel, Multi-center Trial to Evaluate Weight Loss Efficacy of Smart Care Service in Obese Patients With Metabolic Syndrome.
Who cites it
35 citing papers in PubMed, 10 syntheses or guidelines pooled it, 72 citations in OpenAlex.
- Meta-analysis of smartphone applications targeting eating behaviour for weight loss.Scientific reports · 2026Pooled it
- Mobile health (m-health) smartphone interventions for adolescents and adults with overweight or obesity.The Cochrane database of systematic reviews · 2024Pooled it
- Pooled it
- Efficacy of Interventions That Incorporate Mobile Apps in Facilitating Weight Loss and Health Behavior Change in the Asian Population: Systematic Review and Meta-analysis.Journal of medical Internet research · 2021Pooled it
- A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2021Pooled it
- Effect of electronic health interventions on metabolic syndrome: a systematic review and meta-analysis.BMJ open · 2020Pooled it
- Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2020Pooled it
- Assessment of the Efficacy, Safety, and Effectiveness of Weight Control and Obesity Management Mobile Health Interventions: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- The Comparative Effectiveness of Mobile Phone Interventions in Improving Health Outcomes: Meta-Analytic Review.JMIR mHealth and uHealth · 2019Pooled it
- Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs).Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- Development and Feasibility Assessment of Mobile Application-Based Digital Therapeutics for Postoperative Supportive Care in Gastric Cancer Patients Following Gastrectomy.Journal of gastric cancer · 2024Trial
- The Effect of a Lifestyle Intervention Program Using a Mobile Application for Adults with Metabolic Syndrome, versus the Effect of a Program Using a Booklet: A Pilot Randomized Controlled Trial.Clinical interventions in aging · 2021Trial
- Mobile health, physical activity, and obesity: Subanalysis of a randomized controlled trial.Medicine · 2018Trial
- Personalized Mobile Health Intervention for Health and Weight Loss in Postpartum Women Receiving Women, Infants, and Children Benefit: A Randomized Controlled Pilot Study.Journal of women's health (2002) · 2017Trial
- Technology-Enhanced Exercise Training for Cardiometabolic Syndrome: A Scoping Review.Journal of functional morphology and kinesiology · 2026Review
- Article
- The Paradox of Digital Health: Why Middle-Aged Adults Outperform Young Adults in Health Management Utilization via Technology.Healthcare (Basel, Switzerland) · 2024Article
- Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study.Journal of medical Internet research · 2023Article
- Effect of a novel telehealth device for dietary cognitive behavioral intervention in overweight or obesity care.Scientific reports · 2023Article
- Development of an individualized WeChat mini program-based intervention to increase adherence to dietary recommendations applying the behaviour change wheel among individuals with metabolic syndrome.Annals of medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOverweight and obesity, due to a Westernized diet and lack of exercise, are serious global problems that negatively affect not only personal health, but national economies as well. To solve these problems, preventative-based approaches should be taken rather than medical treatments after the occurrence of disease. The improvement of individual life habits, through continuous care, is thus a paramount, long-term treatment goal. This study describes the effects of ubiquitous health care (uHealth care) or SmartCare services in the treatment of weight loss and obesity.
objectiveThe aim of this study is to evaluate the effect of SmartCare services on weight loss compared to the effects of existing outpatient treatments in obese patients with metabolic syndrome.
methodsMetabolic syndrome patients who met the inclusion/exclusion criteria were enrolled in the study and randomized into an intervention or control group. The intervention group was provided with remote monitoring and health care services in addition to the existing treatment. The control group was provided with only the existing treatment. Pedometers were given to all of the patients. Additionally, mobile phones and body composition monitors were provided to the intervention group while body weight scales were provided to the control group. The patients visited the hospitals at 12 and 24 weeks following the baseline examination to receive efficacy and safety evaluations.
resultsMean weight reduction from baseline to week 24 was measured as a primary efficacy evaluation parameter and was found to be 2.21 kg (SD 3.60) and 0.77 kg (SD 2.77) in the intervention and control group, respectively. The intervention group had a larger decrement compared to the control group (P<.001). Among the secondary efficacy evaluation parameters, body mass index (BMI) (P<.001), body fat rate (P=.001), decrement of waist measurement (P<.001), and diet habit (P=.012) improvement ratings from baseline to week 24 were found to be superior in the intervention group compared with the control group. The proportion of patients whose body weight decreased by ≥10%, lipid profiles, blood pressure, prevalence of metabolic syndrome, change in the number of metabolic syndrome elements, smoking rate, drinking rate, and physical activity were not statistically significant between the groups.
conclusionsThe efficacy of SmartCare services was confirmed as the intervention group that received both SmartCare services and the existing treatment had superior results compared with the control group that only received the existing treatment. Importantly, no specific problems with respect to safety concerns were observed. SmartCare service is thus an effective way to control the weight of obese patients with metabolic syndrome.
trial registrationClinicaltrials.gov NCT01344811; https://clinicaltrials.gov/ct2/show/NCT01344811 (Archived by Webcite at http://www.webcitation.org/6alT2MmIB).
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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.