dc.creatorBoonpor, Jirapitcha
dc.creatorParra‑Soto, Solange
dc.creatorTalebi, Atefeh
dc.creatorZhou, Ziyi
dc.creatorCarrasco-Marin, Fernanda
dc.creatorPetermann-Rocha, Fanny
dc.creatorWelsh, Paul
dc.creatorPell, J.P.
dc.creatorSattar, Naveed
dc.creatorGill, Jason M.R.
dc.creatorGray, S.R.
dc.creatorCelis-Morales, Carlos
dc.creatorHo, Frederick
dc.date2023-10-23T17:58:43Z
dc.date2023-10-23T17:58:43Z
dc.date2023
dc.date.accessioned2024-05-02T20:31:46Z
dc.date.available2024-05-02T20:31:46Z
dc.identifierhttp://repositorio.ucm.cl/handle/ucm/5032
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9275243
dc.descriptionObjective The study aim was to investigate associations of 11 anthropometric measures with incident type 2 diabetes and compare their predictive performance. Methods This prospective cohort study included 161,127 White European UK Biobank participants who were free of diabetes at baseline. Anthropometric measures included height, weight, BMI, A Body Shape Index, waist circumference, waist to hip ratio, waist to height ratio (WHtR), hip circumference, visceral adiposity index, hip index, and anthropometric risk index. The associations were examined using Cox proportional hazard models. The differences in C-index were used to compare predictive performance between BMI and other anthropometric measures. Results The median follow-up was 10.0 (interquartile range: 9.3–10.8) years, during which 6315 participants developed type 2 diabetes. All markers except height and hip index were positively associated with incident type 2 diabetes. The strongest associations were found for WHtR (hazard ratio per 1-SD increment: 2.27 [95% CI 2.19–2.35] in women; 1.96 [95% CI 1.90–2.01] in men). Compared with BMI, WHtR and anthropometric risk index had significantly better type 2 diabetes risk discrimination. Conclusions Although most adiposity markers were associated with type 2 diabetes, the magnitude of the associations differed. WHtR had the strongest associations and predictive ability for type 2 diabetes and thus could be a more suitable marker for clinical use.
dc.languageen
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.sourceObesity, 31(10), 2648-2657
dc.titleAssociations and predictive performance of 11 anthropometric measures with incident type 2 diabetes: a prospective cohort study from the UK Biobank
dc.typeArticle


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