Multicomponent (bio)markers for obesity risk prediction: a scoping review protocol

  1. Vahid, Farhad ORCID logo
  2. Dessenne, Coralie
  3. Tur, Josep ORCID logo
  4. Bouzas Velasco, Cristina ORCID logo
  5. Devaux, Yvan ORCID logo
  6. Malisoux, Laurent ORCID logo
  7. Monserrat Mesquida, Margalida ORCID logo
  8. Sureda, Antoni
  9. Desai, Mahesh S ORCID logo
  10. Turner, Jonathan ORCID logo
  11. Lamy, Elsa ORCID logo
  12. Pérez Jiménez, María ORCID logo
  13. Ravn-Haren, Gitte ORCID logo
  14. Andersen, Rikke ORCID logo
  15. Forberger, Sarah ORCID logo
  16. Nagrani, Rajini ORCID logo
  17. Ouzzahra, Yacine
  18. Fontefracesco, Michele Filippo
  19. Onorati, Maria Giovanna ORCID logo
  20. Bonetti, Gino Gabriel
  21. de Magistris, Tiziana ORCID logo
  22. Bohn, Torsten ORCID logo

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1000 Titel
  • Multicomponent (bio)markers for obesity risk prediction: a scoping review protocol
1000 Autor/in
  1. Vahid, Farhad |
  2. Dessenne, Coralie |
  3. Tur, Josep |
  4. Bouzas Velasco, Cristina |
  5. Devaux, Yvan |
  6. Malisoux, Laurent |
  7. Monserrat Mesquida, Margalida |
  8. Sureda, Antoni |
  9. Desai, Mahesh S |
  10. Turner, Jonathan |
  11. Lamy, Elsa |
  12. Pérez Jiménez, María |
  13. Ravn-Haren, Gitte |
  14. Andersen, Rikke |
  15. Forberger, Sarah |
  16. Nagrani, Rajini |
  17. Ouzzahra, Yacine |
  18. Fontefracesco, Michele Filippo |
  19. Onorati, Maria Giovanna |
  20. Bonetti, Gino Gabriel |
  21. de Magistris, Tiziana |
  22. Bohn, Torsten |
1000 Erscheinungsjahr 2024
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-03-08
1000 Erschienen in
1000 Quellenangabe
  • 14(3):e083558
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1136/bmjopen-2023-083558 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10928751/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • INTRODUCTION: Despite international efforts, the number of individuals struggling with obesity is still increasing. An important aspect of obesity prevention relates to identifying individuals at risk at early stage, allowing for timely risk stratification and initiation of countermeasures. However, obesity is complex and multifactorial by nature, and one isolated (bio)marker is unlikely to enable an optimal risk stratification and prognosis for the individual; rather, a combined set is required. Such a multicomponent interpretation would integrate biomarkers from various domains, such as classical markers (eg, anthropometrics, blood lipids), multiomics (eg, genetics, proteomics, metabolomics), lifestyle and behavioural attributes (eg, diet, physical activity, sleep patterns), psychological traits (mental health status such as depression) and additional host factors (eg, gut microbiota diversity), also by means of advanced interpretation tools such as machine learning. In this paper, we will present a protocol that will be employed for a scoping review that attempts to summarise and map the state-of-the-art in the area of multicomponent (bio)markers related to obesity, focusing on the usability and effectiveness of such biomarkers. METHODS AND ANALYSIS: PubMed, Scopus, CINAHL and Embase databases will be searched using predefined key terms to identify peer-reviewed articles published in English until January 2024. Once downloaded into EndNote for deduplication, CADIMA will be employed to review and select abstracts and full-text articles in a two-step procedure, by two independent reviewers. Data extraction will then be carried out by several independent reviewers. Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews and Peer Review of Electronic Search Strategies guidelines will be followed. Combinations employing at least two biomarkers from different domains will be mapped and discussed. ETHICS AND DISSEMINATION: Ethical approval is not required; data will rely on published articles. Findings will be published open access in an international peer-reviewed journal. This review will allow guiding future directions for research and public health strategies on obesity prevention, paving the way towards multicomponent interventions.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-7380-3790|https://frl.publisso.de/adhoc/uri/RGVzc2VubmUsIENvcmFsaWU=|https://orcid.org/0000-0002-6940-0761|https://orcid.org/0000-0002-1407-8461|https://orcid.org/0000-0002-5321-8543|https://orcid.org/0000-0002-6601-5630|https://orcid.org/0000-0002-8856-135X|https://frl.publisso.de/adhoc/uri/U3VyZWRhLCBBbnRvbmk=|https://orcid.org/0000-0002-9223-2209|https://orcid.org/0000-0002-2760-1071|https://orcid.org/0000-0002-9370-1337|https://orcid.org/0000-0003-3143-4058|https://orcid.org/0000-0002-4587-089X|https://orcid.org/0000-0002-5091-6995|https://orcid.org/0000-0002-7169-675X|https://orcid.org/0000-0002-1708-2319|https://frl.publisso.de/adhoc/uri/T3V6emFocmEsIFlhY2luZQ==|https://frl.publisso.de/adhoc/uri/Rm9udGVmcmFjZXNjbywgTWljaGVsZSBGaWxpcHBv|https://orcid.org/0000-0003-1847-0230|https://frl.publisso.de/adhoc/uri/Qm9uZXR0aSwgR2lubyBHYWJyaWVs|https://orcid.org/0000-0001-5480-183X|https://orcid.org/0000-0002-7825-0697
1000 Label
1000 Förderer
  1. Horizon 2020 |
  2. Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición |
  3. Horizon 2020 |
  4. National Research Fund |
  5. COST Association |
  6. Ministry of Higher Education and Research |
  7. Heart Foundation-Daniel Wagner of Luxembourg |
1000 Fördernummer
  1. 101080645
  2. CB12/03/30038
  3. 101016072
  4. C14/BM/8225223; C17/BM/11613033; COVID-19/2020-1/14719577/miRCOVID
  5. CA17129; CA21153
  6. -
  7. -
1000 Förderprogramm
  1. -
  2. -
  3. COVIRNA
  4. -
  5. -
  6. -
  7. -
1000 Dateien
  1. Multicomponent (bio)markers for obesity risk prediction: a scoping review protocol
    Multicomponent (bio)markers for obesity risk prediction: a scoping review protocol
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 |
    1000 Förderprogramm -
    1000 Fördernummer 101080645
  2. 1000 joinedFunding-child
    1000 Förderer Centro de Investigación Biomédica en Red-Fisiopatología de la Obesidad y Nutrición |
    1000 Förderprogramm -
    1000 Fördernummer CB12/03/30038
  3. 1000 joinedFunding-child
    1000 Förderer Horizon 2020 |
    1000 Förderprogramm COVIRNA
    1000 Fördernummer 101016072
  4. 1000 joinedFunding-child
    1000 Förderer National Research Fund |
    1000 Förderprogramm -
    1000 Fördernummer C14/BM/8225223; C17/BM/11613033; COVID-19/2020-1/14719577/miRCOVID
  5. 1000 joinedFunding-child
    1000 Förderer COST Association |
    1000 Förderprogramm -
    1000 Fördernummer CA17129; CA21153
  6. 1000 joinedFunding-child
    1000 Förderer Ministry of Higher Education and Research |
    1000 Förderprogramm -
    1000 Fördernummer -
  7. 1000 joinedFunding-child
    1000 Förderer Heart Foundation-Daniel Wagner of Luxembourg |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6484209.rdf
1000 Erstellt am 2024-09-24T12:28:50.343+0200
1000 Erstellt von 266
1000 beschreibt frl:6484209
1000 Bearbeitet von 317
1000 Zuletzt bearbeitet 2025-08-06T13:44:15.270+0200
1000 Objekt bearb. Tue Sep 24 13:33:24 CEST 2024
1000 Vgl. frl:6484209
1000 Oai Id
  1. oai:frl.publisso.de:frl:6484209 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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