Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol (Preprint) DOI Creative Commons
Victoria Brügger, Tobias Kowatsch, Mia Jovanova

et al.

JMIR Research Protocols, Journal Year: 2024, Volume and Issue: 13, P. e59539 - e59539

Published: Oct. 25, 2024

Background Metabolic diseases, such as cardiovascular diseases and diabetes, contribute significantly to global mortality disability. Wearable devices smartphones are increasingly used track manage modifiable risk factors associated with metabolic diseases. However, no established guidelines exist on how derive meaningful signals from these devices, often hampering cross-study comparisons. Objective This study aims systematically overview the current empirical literature wearables (physiological lifestyle) Methods We will conduct a scoping review wearable smartphone-based studies measure related search 5 databases (Scopus, Web of Science, PubMed, Cochrane Central Register Controlled Trials, SPORTDiscus) 2019 2024, terms wearables, smartphones, Eligible use or (worn wrist, finger, arm, hip, chest) physiological lifestyle follow reporting guideline standards PRISMA-ScR (Preferred Reporting Items for Systematic Reviews Meta-Analyses Extension Scoping Reviews) JBI (Joanna Briggs Institute) guidance methodology. Two reviewers independently screen articles inclusion extract data using standardized form. The findings be synthesized reported qualitatively quantitatively. Results Data collection is expected begin in November 2024; analysis first quarter 2025; submission peer-reviewed journal by second 2025. expect identify degree which collectively (versus isolation), consistency variation measured across existing studies. Conclusions inform more measurements, goal aiding comparison. final report planned peer-reviewed, indexed journal. among landscape International Registered Report Identifier (IRRID) PRR1-10.2196/59539

Language: Английский

Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol DOI Creative Commons
Victoria Brügger, Tobias Kowatsch, Mia Jovanova

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: April 15, 2024

Abstract Background Metabolic diseases, such as cardiovascular diseases and diabetes, contribute significantly to global mortality disability. Wearable devices smartphones increasingly track physiological lifestyle risk factors can improve the management of metabolic diseases. However, absence clear guidelines for deriving meaningful signals from these often hampers cross-study comparisons. Objective Thus, this scoping review protocol aims systematically overview current empirical literature on how wearables are used measure modifiable associated with Methods We will conduct a related search six databases (Scopus, Web Science, ScienceDirect, PubMed, ACM Digital Library, IEEE Xplore) 2019 2024, terms wearables, smartphones, apply PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses extension Scoping Reviews) Arksey O’Malley’s methodology. Eligible studies use and/or (worn wrist, finger, arm, hip, chest) Two reviewers independently screen articles inclusion. Data be extracted using standardized form, findings synthesized reported qualitatively quantitatively. Results The study is expected identify potential gaps in measuring digital health research. inform more wearable smartphone-based measurements aid comparison. final report planned submission an indexed journal. Conclusions This among first landscape

Language: Английский

Citations

1
Personalizing dietary interventions by predicting individual vulnerability to glucose excursions DOI Open Access
Victoria Brügger, Tobias Kowatsch, Mia Jovanova

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 7, 2024

Abstract Elevated postprandial glucose levels pose a global epidemic and are crucial in cardiometabolic disease management prevention. A major challenge is inter-individual variability, which limits the effectiveness of population-wide dietary interventions. To develop personalized interventions, it critical to first predict person’s vulnerability excursions—or elevated post-meal relative personal baseline—with minimal burden. We examined feasibility models future excursions daily lives 69 Chinese adults with type-2 diabetes ( M age=61.5; 50% women; 2’595 observations). developed machine learning models, trained on past individual context meal-based observations, employing low-burden (continuous monitoring) or additional high-burden (manual meal tracking) approaches. Personalized predicted (F1-score: =74%; median=78%), some individuals being more predictable than others. The low burden-models performed better for those consistent patterns healthier glycemic profiles. Notably, no two shared same context-based predictors. This study among sample diabetes. Findings can help personalize just-in-time-adaptive interventions unique live, thereby helping improve management.

Language: Английский

Citations

1
Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol (Preprint) DOI
Victoria Brügger, Tobias Kowatsch, Mia Jovanova

et al.

Published: April 15, 2024

BACKGROUND Metabolic diseases, such as cardiovascular diseases and diabetes, contribute significantly to global mortality disability. Wearable devices smartphones increasingly track physiological lifestyle risk factors can improve the management of metabolic diseases. However, absence clear guidelines for deriving meaningful signals from these often hampers cross-study comparisons. OBJECTIVE Thus, this scoping review protocol aims systematically overview current empirical literature on how wearables are used measure modifiable associated with METHODS We will conduct a related search six databases (Scopus, Web Science, ScienceDirect, PubMed, ACM Digital Library, IEEE Xplore) 2019 2024, terms wearables, smartphones, apply PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses extension Scoping Reviews) Arksey O'Malley's methodology. Eligible studies use and/or (worn wrist, finger, arm, hip, chest) Two reviewers independently screen articles inclusion. Data be extracted using standardized form, findings synthesized reported qualitatively quantitatively. RESULTS The study is expected identify potential gaps in measuring digital health research. Results inform more wearable smartphone-based measurements aid comparison. final report planned submission an indexed journal. CONCLUSIONS This among first landscape CLINICALTRIAL

Language: Английский

Citations

0
Wearables and smartphones for modifiable risk factors in metabolic health: a scoping review protocol (Preprint) DOI Creative Commons
Victoria Brügger, Tobias Kowatsch, Mia Jovanova

et al.

JMIR Research Protocols, Journal Year: 2024, Volume and Issue: 13, P. e59539 - e59539

Published: Oct. 25, 2024

Background Metabolic diseases, such as cardiovascular diseases and diabetes, contribute significantly to global mortality disability. Wearable devices smartphones are increasingly used track manage modifiable risk factors associated with metabolic diseases. However, no established guidelines exist on how derive meaningful signals from these devices, often hampering cross-study comparisons. Objective This study aims systematically overview the current empirical literature wearables (physiological lifestyle) Methods We will conduct a scoping review wearable smartphone-based studies measure related search 5 databases (Scopus, Web of Science, PubMed, Cochrane Central Register Controlled Trials, SPORTDiscus) 2019 2024, terms wearables, smartphones, Eligible use or (worn wrist, finger, arm, hip, chest) physiological lifestyle follow reporting guideline standards PRISMA-ScR (Preferred Reporting Items for Systematic Reviews Meta-Analyses Extension Scoping Reviews) JBI (Joanna Briggs Institute) guidance methodology. Two reviewers independently screen articles inclusion extract data using standardized form. The findings be synthesized reported qualitatively quantitatively. Results Data collection is expected begin in November 2024; analysis first quarter 2025; submission peer-reviewed journal by second 2025. expect identify degree which collectively (versus isolation), consistency variation measured across existing studies. Conclusions inform more measurements, goal aiding comparison. final report planned peer-reviewed, indexed journal. among landscape International Registered Report Identifier (IRRID) PRR1-10.2196/59539

Language: Английский

Citations

0