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January 14, 2015Public Health NutritionOpen Access

Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults

Carolina Batis Michelle A. Méndez Penny Gordon‐Larsen Daniela Sotres‐Alvarez Linda S. Adair Barry M. Popkin

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Abstract

Our findings suggest that using both PCA and RRR provided useful insights when studying the association of dietary patterns with diabetes.

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Batis et al. (2015) studied this question.

synapsesocial.com/papers/69d9943d5e5bcb4e3b837103 https://doi.org/10.1017/s1368980014003103

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Comparison of two statistical approaches to predict all-cause mortality by dietary patterns in German elderly subjectsRisk Assessment · 2005 · 69 citations
2Globalization of DiabetesGenetic Association Study · 2011 · 1,948 citations
3Evaluation of the 24-Hour Individual Recall Method in ChinaOriginal Research · 1996 · 120 citations
4Validity of Glycated Hemoglobin in Screening and Diagnosing Type 2 Diabetes Mellitus in Chinese SubjectsDiagnostic Study · 2012 · 25 citations
5Dietary patterns and their correlates among middle-aged and elderly Chinese men: a report from the Shanghai Men's Health StudyCross-Sectional Study · 2007 · 107 citations

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