Código QR (código de barras bidimensional)

Dietary patterns identified by latent class analysis in relation to the risk of cardiovascular disease: Tehran lipid and glucose study

Abstract Background Several data-driven reduction techniques have been developed to derive dietary patterns, each with different underlying assumptions and approaches to data handling. Here we aimed to determine the major dietary patterns of Tehranian adults using Latent Class Analysis (LCA) method,...

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Principais autores: Zahra Gaeini, Sahar Mirzaee, Parvin Mirmiran, Fereidoun Azizi
格式: Artigo
語言:Inglês
出版: BMC 2025-07-01
叢編:Journal of Health, Population and Nutrition
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在線閱讀:https://doi.org/10.1186/s41043-025-01023-w
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