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Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults
by
Mendez, Michelle A
, Gordon-Larsen, Penny
, Adair, Linda
, Batis, Carolina
, Sotres-Alvarez, Daniela
, Popkin, Barry
in
Adult
/ adults
/ Biomarkers
/ Blood Glucose - metabolism
/ breads
/ China
/ Diabetes
/ Diabetes Mellitus - blood
/ Diabetes Mellitus - etiology
/ Diabetes Mellitus - prevention & control
/ Diet
/ diet study techniques
/ eggs
/ Exercise
/ Family Characteristics
/ fasting
/ Feeding Behavior
/ Female
/ fish
/ Food
/ fruits
/ Glucose
/ Glycated Hemoglobin A - metabolism
/ homeostasis
/ HOT TOPIC – Dietary patterns
/ Households
/ Humans
/ Insulin Resistance
/ inventories
/ Male
/ meat
/ Middle Aged
/ milk
/ noodles
/ Nutrition research
/ Nutrition Surveys
/ Odds Ratio
/ Population
/ Poultry
/ Principal Component Analysis
/ Principal components analysis
/ Research Design
/ Research Papers
/ rice
/ Seafood
/ seafoods
/ soymilk
/ Statistical analysis
/ Variables
/ Wheat
2016
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Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults
by
Mendez, Michelle A
, Gordon-Larsen, Penny
, Adair, Linda
, Batis, Carolina
, Sotres-Alvarez, Daniela
, Popkin, Barry
in
Adult
/ adults
/ Biomarkers
/ Blood Glucose - metabolism
/ breads
/ China
/ Diabetes
/ Diabetes Mellitus - blood
/ Diabetes Mellitus - etiology
/ Diabetes Mellitus - prevention & control
/ Diet
/ diet study techniques
/ eggs
/ Exercise
/ Family Characteristics
/ fasting
/ Feeding Behavior
/ Female
/ fish
/ Food
/ fruits
/ Glucose
/ Glycated Hemoglobin A - metabolism
/ homeostasis
/ HOT TOPIC – Dietary patterns
/ Households
/ Humans
/ Insulin Resistance
/ inventories
/ Male
/ meat
/ Middle Aged
/ milk
/ noodles
/ Nutrition research
/ Nutrition Surveys
/ Odds Ratio
/ Population
/ Poultry
/ Principal Component Analysis
/ Principal components analysis
/ Research Design
/ Research Papers
/ rice
/ Seafood
/ seafoods
/ soymilk
/ Statistical analysis
/ Variables
/ Wheat
2016
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Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults
by
Mendez, Michelle A
, Gordon-Larsen, Penny
, Adair, Linda
, Batis, Carolina
, Sotres-Alvarez, Daniela
, Popkin, Barry
in
Adult
/ adults
/ Biomarkers
/ Blood Glucose - metabolism
/ breads
/ China
/ Diabetes
/ Diabetes Mellitus - blood
/ Diabetes Mellitus - etiology
/ Diabetes Mellitus - prevention & control
/ Diet
/ diet study techniques
/ eggs
/ Exercise
/ Family Characteristics
/ fasting
/ Feeding Behavior
/ Female
/ fish
/ Food
/ fruits
/ Glucose
/ Glycated Hemoglobin A - metabolism
/ homeostasis
/ HOT TOPIC – Dietary patterns
/ Households
/ Humans
/ Insulin Resistance
/ inventories
/ Male
/ meat
/ Middle Aged
/ milk
/ noodles
/ Nutrition research
/ Nutrition Surveys
/ Odds Ratio
/ Population
/ Poultry
/ Principal Component Analysis
/ Principal components analysis
/ Research Design
/ Research Papers
/ rice
/ Seafood
/ seafoods
/ soymilk
/ Statistical analysis
/ Variables
/ Wheat
2016
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Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults
Journal Article
Using both principal component analysis and reduced rank regression to study dietary patterns and diabetes in Chinese adults
2016
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Overview
We examined the association between dietary patterns and diabetes using the strengths of two methods: principal component analysis (PCA) to identify the eating patterns of the population and reduced rank regression (RRR) to derive a pattern that explains the variation in glycated Hb (HbA1c), homeostasis model assessment of insulin resistance (HOMA-IR) and fasting glucose.
We measured diet over a 3 d period with 24 h recalls and a household food inventory in 2006 and used it to derive PCA and RRR dietary patterns. The outcomes were measured in 2009.
Adults (n 4316) from the China Health and Nutrition Survey.
The adjusted odds ratio for diabetes prevalence (HbA1c≥6·5 %), comparing the highest dietary pattern score quartile with the lowest, was 1·26 (95 % CI 0·76, 2·08) for a modern high-wheat pattern (PCA; wheat products, fruits, eggs, milk, instant noodles and frozen dumplings), 0·76 (95 % CI 0·49, 1·17) for a traditional southern pattern (PCA; rice, meat, poultry and fish) and 2·37 (95 % CI 1·56, 3·60) for the pattern derived with RRR. By comparing the dietary pattern structures of RRR and PCA, we found that the RRR pattern was also behaviourally meaningful. It combined the deleterious effects of the modern high-wheat pattern (high intakes of wheat buns and breads, deep-fried wheat and soya milk) with the deleterious effects of consuming the opposite of the traditional southern pattern (low intakes of rice, poultry and game, fish and seafood).
Our findings suggest that using both PCA and RRR provided useful insights when studying the association of dietary patterns with diabetes.
Publisher
Cambridge University Press
Subject
/ adults
/ breads
/ China
/ Diabetes
/ Diabetes Mellitus - etiology
/ Diabetes Mellitus - prevention & control
/ Diet
/ eggs
/ Exercise
/ fasting
/ Female
/ fish
/ Food
/ fruits
/ Glucose
/ Glycated Hemoglobin A - metabolism
/ HOT TOPIC – Dietary patterns
/ Humans
/ Male
/ meat
/ milk
/ noodles
/ Poultry
/ Principal Component Analysis
/ Principal components analysis
/ rice
/ Seafood
/ seafoods
/ soymilk
/ Wheat
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