Association of body shape phenotypes and body fat distribution indexes with inflammatory biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank

  1. González-Gil, Esther M.
  2. Peruchet-Noray, Laia
  3. Sedlmeier, Anja M.
  4. Christakoudi, Sofia
  5. Biessy, Carine
  6. Navionis, Anne-Sophie
  7. Mahamat-Saleh, Yahya
  8. Jaafar, Rola F.
  9. Baurecht, Hansjörg
  10. Guevara, Marcela
  11. Etxezarreta, Pilar Amiano
  12. Verschuren, W. M. Monique
  13. Boer, Jolanda M. A.
  14. Olsen, Anja
  15. Tjønneland, Anne
  16. Simeon, Vittorio
  17. Castro-Espin, Carlota
  18. Aune, Dagfinn
  19. Heath, Alicia K.
  20. Gunter, Marc
  21. Colorado-Yohar, Sandra M.
  22. Zilhão, Nuno R.
  23. Dahm, Christina C.
  24. Llanaj, Erand
  25. Schulze, Matthias B.
  26. Petrova, Dafina
  27. Sieri, Sabina
  28. Ricceri, Fulvio
  29. Masala, Giovanna
  30. Key, Tim
  31. Viallon, Vivian
  32. Rinaldi, Sabina
  33. Freisling, Heinz
  34. Dossus, Laure

Download
12916_2024_Article_3544.pdf 1,27MB
WeightNameValue
1000 Titel
  • Association of body shape phenotypes and body fat distribution indexes with inflammatory biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank
1000 Autor/in
  1. González-Gil, Esther M. |
  2. Peruchet-Noray, Laia |
  3. Sedlmeier, Anja M. |
  4. Christakoudi, Sofia |
  5. Biessy, Carine |
  6. Navionis, Anne-Sophie |
  7. Mahamat-Saleh, Yahya |
  8. Jaafar, Rola F. |
  9. Baurecht, Hansjörg |
  10. Guevara, Marcela |
  11. Etxezarreta, Pilar Amiano |
  12. Verschuren, W. M. Monique |
  13. Boer, Jolanda M. A. |
  14. Olsen, Anja |
  15. Tjønneland, Anne |
  16. Simeon, Vittorio |
  17. Castro-Espin, Carlota |
  18. Aune, Dagfinn |
  19. Heath, Alicia K. |
  20. Gunter, Marc |
  21. Colorado-Yohar, Sandra M. |
  22. Zilhão, Nuno R. |
  23. Dahm, Christina C. |
  24. Llanaj, Erand |
  25. Schulze, Matthias B. |
  26. Petrova, Dafina |
  27. Sieri, Sabina |
  28. Ricceri, Fulvio |
  29. Masala, Giovanna |
  30. Key, Tim |
  31. Viallon, Vivian |
  32. Rinaldi, Sabina |
  33. Freisling, Heinz |
  34. Dossus, Laure |
1000 Verlag
  • BioMed Central
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-08-15
1000 Erschienen in
1000 Quellenangabe
  • 22(1):334
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1186/s12916-024-03544-3 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11328449/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Background!#!The allometric body shape index (ABSI) and hip index (HI), as well as multi-trait body shape phenotypes, have not yet been compared in their associations with inflammatory markers. The aim of this study was to examine the relationship between novel and traditional anthropometric indexes with inflammation using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank cohorts.!##!Methods!#!Participants from EPIC (n = 17,943, 69.1% women) and UK Biobank (n = 426,223, 53.2% women) with data on anthropometric indexes and C-reactive protein (CRP) were included in this cross-sectional analysis. A subset of women in EPIC also had at least one measurement for interleukins, tumour necrosis factor alpha, interferon gamma, leptin, and adiponectin. Four distinct body shape phenotypes were derived by a principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). PC1 described overall adiposity, PC2 tall with low WHR, PC3 tall and centrally obese, and PC4 high BMI and weight with low WC and HC, suggesting an athletic phenotype. ABSI, HI, waist-to-height ratio and waist-to-hip index (WHI) were also calculated. Linear regression models were carried out separately in EPIC and UK Biobank stratified by sex and adjusted for age, smoking status, education, and physical activity. Results were additionally combined in a random-effects meta-analysis.!##!Results!#!Traditional anthropometric indexes, particularly BMI, WC, and weight were positively associated with CRP levels, in men and women. Body shape phenotypes also showed distinct associations with CRP. Specifically, PC2 showed inverse associations with CRP in EPIC and UK Biobank in both sexes, similarly to height. PC3 was inversely associated with CRP among women, whereas positive associations were observed among men.!##!Conclusions!#!Specific indexes of body size and body fat distribution showed differential associations with inflammation in adults. Notably, our results suggest that in women, height may mitigate the impact of a higher WC and HC on inflammation. This suggests that subtypes of adiposity exhibit substantial variation in their inflammatory potential, which may have implications for inflammation-related chronic diseases.
1000 Sacherschließung
lokal Female [MeSH]
lokal Anthropometric indicators
lokal Body Fat Distribution [MeSH]
lokal Biomarkers/blood [MeSH]
lokal Humans [MeSH]
lokal Inflammation
lokal Prospective Studies [MeSH]
lokal Inflammation [MeSH]
lokal Cross-Sectional Studies [MeSH]
lokal Anthropometry/methods [MeSH]
lokal Europe/epidemiology [MeSH]
lokal Body Mass Index [MeSH]
lokal Height
lokal United Kingdom/epidemiology [MeSH]
lokal Male [MeSH]
lokal UK Biobank [MeSH]
lokal Research
lokal C-Reactive Protein/analysis [MeSH]
lokal Phenotype [MeSH]
lokal C-reactive protein
lokal Body shape
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/R29uesOhbGV6LUdpbCwgRXN0aGVyIE0u|https://frl.publisso.de/adhoc/uri/UGVydWNoZXQtTm9yYXksIExhaWE=|https://frl.publisso.de/adhoc/uri/U2VkbG1laWVyLCBBbmphIE0u|https://frl.publisso.de/adhoc/uri/Q2hyaXN0YWtvdWRpLCBTb2ZpYQ==|https://frl.publisso.de/adhoc/uri/Qmllc3N5LCBDYXJpbmU=|https://frl.publisso.de/adhoc/uri/TmF2aW9uaXMsIEFubmUtU29waGll|https://frl.publisso.de/adhoc/uri/TWFoYW1hdC1TYWxlaCwgWWFoeWE=|https://frl.publisso.de/adhoc/uri/SmFhZmFyLCBSb2xhIEYu|https://frl.publisso.de/adhoc/uri/QmF1cmVjaHQsIEhhbnNqw7ZyZw==|https://frl.publisso.de/adhoc/uri/R3VldmFyYSwgTWFyY2VsYQ==|https://frl.publisso.de/adhoc/uri/RXR4ZXphcnJldGEsIFBpbGFyIEFtaWFubw==|https://frl.publisso.de/adhoc/uri/VmVyc2NodXJlbiwgVy4gTS4gTW9uaXF1ZQ==|https://frl.publisso.de/adhoc/uri/Qm9lciwgSm9sYW5kYSBNLiBBLg==|https://frl.publisso.de/adhoc/uri/T2xzZW4sIEFuamE=|https://frl.publisso.de/adhoc/uri/VGrDuG5uZWxhbmQsIEFubmU=|https://frl.publisso.de/adhoc/uri/U2ltZW9uLCBWaXR0b3Jpbw==|https://frl.publisso.de/adhoc/uri/Q2FzdHJvLUVzcGluLCBDYXJsb3Rh|https://frl.publisso.de/adhoc/uri/QXVuZSwgRGFnZmlubg==|https://frl.publisso.de/adhoc/uri/SGVhdGgsIEFsaWNpYSBLLg==|https://frl.publisso.de/adhoc/uri/R3VudGVyLCBNYXJj|https://frl.publisso.de/adhoc/uri/Q29sb3JhZG8tWW9oYXIsIFNhbmRyYSBNLg==|https://frl.publisso.de/adhoc/uri/WmlsaMOjbywgTnVubyBSLg==|https://frl.publisso.de/adhoc/uri/RGFobSwgQ2hyaXN0aW5hIEMu|https://frl.publisso.de/adhoc/uri/TGxhbmFqLCBFcmFuZA==|https://frl.publisso.de/adhoc/uri/U2NodWx6ZSwgTWF0dGhpYXMgQi4=|https://frl.publisso.de/adhoc/uri/UGV0cm92YSwgRGFmaW5h|https://frl.publisso.de/adhoc/uri/U2llcmksIFNhYmluYQ==|https://frl.publisso.de/adhoc/uri/UmljY2VyaSwgRnVsdmlv|https://frl.publisso.de/adhoc/uri/TWFzYWxhLCBHaW92YW5uYQ==|https://frl.publisso.de/adhoc/uri/S2V5LCBUaW0=|https://frl.publisso.de/adhoc/uri/VmlhbGxvbiwgVml2aWFu|https://frl.publisso.de/adhoc/uri/UmluYWxkaSwgU2FiaW5h|https://frl.publisso.de/adhoc/uri/RnJlaXNsaW5nLCBIZWlueg==|https://frl.publisso.de/adhoc/uri/RG9zc3VzLCBMYXVyZQ==
1000 Hinweis
  • DeepGreen-ID: 91311440acbb4620b7045024bded4105 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Dateien
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6524156.rdf
1000 Erstellt am 2025-07-07T02:31:24.022+0200
1000 Erstellt von 322
1000 beschreibt frl:6524156
1000 Zuletzt bearbeitet 2025-07-29T16:48:54.658+0200
1000 Objekt bearb. Tue Jul 29 16:48:54 CEST 2025
1000 Vgl. frl:6524156
1000 Oai Id
  1. oai:frl.publisso.de:frl:6524156 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source