| Title: |
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 |
| Authors: |
Castro‐Espín, Carlota; González-Gil, Esther M.; Peruchet Noray, Laia; Sedlmeier, Anja M.; Christakoudi, Sofia; Biessy, Carine; Navionis, Anne-Sophie; Mahamat-Saleh, Yahya; Jaafar, Rola F.; Baurecht, Hansjörg; Guevara, Marcela; Amiano Etxezarreta, Pilar; Verschuren, W. M. Monique; Boer, Jolanda M.A.; Olsen, Anja; Tjønneland, Anne; Simeon, Vittorio; Aune, Dagfinn; Heath, Alicia K.; Gunter, Marc J.; Colorado-Yohar, Sandra; Zilhão, Nuno R.; Dahm, Christina C.; Llanaj, Erand; Schulze, Matthias B.; Petrova, Dafina; Sieri, Sabina; Ricceri, Fulvio; Masala, Giovanna; Key, Tim; Viallon, Vivian; Rinaldi, Sabina; Freisling, Heinz; Dossus, Laure |
| Source: |
Articles publicats en revistes (Ciències Clíniques) |
| Publisher Information: |
BioMed Central |
| Publication Year: |
2024 |
| Collection: |
Dipòsit Digital de la Universitat de Barcelona |
| Subject Terms: |
Composició corporal (Fisiologia); Antropometria; Marcadors bioquímics; Inflamació; Body composition (Physiology); Anthropometry; Biochemical markers; Inflammation |
| Description: |
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, ... |
| Document Type: |
article in journal/newspaper |
| File Description: |
14 p.; application/pdf |
| Language: |
English |
| Relation: |
Reproducció del document publicat a: https://doi.org/10.1186/s12916-024-03544-3; BMC Medicine, 2024, vol. 22, num.1; https://doi.org/10.1186/s12916-024-03544-3; https://hdl.handle.net/2445/215826; 750863 |
| Availability: |
https://hdl.handle.net/2445/215826 |
| Rights: |
cc-by (c) González-Gil, E.M. et al., 2024 ; http://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.A73FE9E4 |
| Database: |
BASE |