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Multicomponent (bio)markers for obesity risk prediction: a scoping review protocol
Farhad Vahid1, Coralie Dessenne2, Josep A Tur3
1Department of Precision Health, Luxembourg Institute of Health, Strassen, Luxembourg.
BMJ Open
|March 8, 2024
Summary
Obesity requires multicomponent biomarkers for effective risk assessment. This scoping review maps current research on combining diverse markers, including genetics and lifestyle, for better obesity prevention strategies.
Area of Science:
- Biomedical science
- Public health
- Data science
Background:
- Rising global obesity rates necessitate advanced prevention strategies.
- Single biomarkers are insufficient for accurate obesity risk stratification.
- Multifactorial nature of obesity requires integrated assessment approaches.
Purpose of the Study:
- To conduct a scoping review on multicomponent (bio)markers for obesity.
- To map the state-of-the-art in combining diverse biomarkers for obesity risk.
- To assess the usability and effectiveness of these combined biomarkers.
Main Methods:
- Scoping review protocol utilizing multiple databases (PubMed, Scopus, CINAHL, Embase).
- Systematic search for peer-reviewed articles until January 2024.
- Two-step abstract and full-text review by independent reviewers following PRISMA-ScR guidelines.
Main Results:
- Identification and mapping of studies combining at least two biomarkers from different domains.
- Analysis of classical markers, multiomics, lifestyle, psychological traits, and gut microbiota.
- Focus on the integration and interpretation of these diverse data types, potentially using machine learning.
Conclusions:
- A comprehensive understanding of current research on multicomponent biomarkers for obesity.
- Guidance for future research directions in obesity prevention.
- Foundation for developing more effective, personalized, and multicomponent obesity interventions.
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