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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-07-01
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| Series: | Journal of Health, Population and Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41043-025-01023-w |
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