A Technology-Mediated Interventional Approach to the Prevention of Metabolic Syndrome: A Systematic Review and Meta-Analysis

Abstract

Background: Technology-mediated interventions help overcome barriers to program delivery and spread metabolic syndrome prevention programs on a large scale. A meta-analysis was performed to evaluate the impact of these technology-mediated interventions on metabolic syndrome prevention. Methods: In this meta-analysis, from 30 January 2018, three databases were searched to evaluate interventions using techniques to propagate diet and exercise lifestyle programs for adult patients with metabolic syndrome or metabolic risk. Results: Search results found 535 citations. Of these, 18 studies met the inclusion criteria analyzed in this article. The median duration of intervention was 4 months and the follow-up period ranged from 1.5 to 30 months. The standardized mean difference (SMD) between the two groups was waist circumference −0.35 (95% CI −0.54, −0.15), triglyceride −0.14 (95% CI −0.26, −0.03), fasting blood glucose −0.31 (95% CI −0.42, −0.19), body weight −1.34 (95% CI −2.04, −0.64), and body mass index −1.36 (95% CI −2.21, −0.51). There was no publication bias in this study. Conclusion: Technology-mediated intervention improved clinically important metabolic syndrome related indicators such as excess body fat around the waist, fasting glucose, and body mass index. These interventions will play an important role in the dissemination of metabolic syndrome prevention programs.

Association between body mass index, metabolic syndrome and common urologic conditions: a cross-sectional study using a large multi-institutional database from the United States

“…To determine associations between chronic health conditions and urologic conditions, we used the TriNetX Research Network from July 2015 to February 2022 [ 18 ]. TriNetX only reports on population level data without including protected health information identifiers.…”

“…Although several studies have explored the impact of obesity and MS on urologic diseases [ 2 , 12 ], the majority of them have evaluated either a single urologic pathology [ 13–15 ] or the study population did not surpass the thousands [ 16 , 17 ]. Moreover, some published studies provide contradictory results [ 18–20 ].…”

The Effect of Mobile Health (mHealth) Interventions on Clinical Outcomes and Self-Management Behaviours in Individuals with Metabolic Syndrome: A Narrative Review of Evidence

“…In the past decade, there has been an exponential growth in mobile health (mHealth) technology for self-management of chronic conditions including MetS [31][32][33][34][35][36][37][38]. However, most of the selfmanagement systems available in the market were developed in the Western countries and high-income Asian countries such as Japan and South Korea [39][40][41][42]. In Malaysia, patient self-management tools were previously developed using paper-based materials e.g., self-management booklet [43].…”

“…The growth in the mobile phones usage in Malaysia unlocks the potential to transform the management of MetS in primary care using mHealth technology. With regards to the systematic review of evidence and meta-analysis, we only found one study that appraised the evidence on technology-mediated interventional approach to the prevention of MetS [39]. There is a gap in the literature with regards to the summary of evidence on the effect of mHealth technology in improving outcomes in individuals with MetS and its various components.…”

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

“…Digital health is defined as information communication technology that supports health through electronic and mobile health solutions and using big data, computational genomics, and artificial intelligence [ 20 ]. Digital health may improve population health by increasing access to medical services and uptake of interventions [ 20 , 21 , 22 , 23 , 24 ]. Mobile applications, short messaging service (SMS), wearable devices, social media, and interactive websites have been used as intervention methods [ 14 , 16 , 17 , 25 , 26 , 27 ].…”