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Int. J. Environ. Res. Public Health 2017, 14(5), 487; doi:10.3390/ijerph14050487

Dietary Patterns and Obesity among Chinese Adults: Results from a Household-Based Cross-Sectional Study

Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou 310051, China
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Academic Editor: Paul B. Tchounwou
Received: 2 March 2017 / Revised: 2 May 2017 / Accepted: 3 May 2017 / Published: 5 May 2017
(This article belongs to the Section Global Health)
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Abstract

The key dietary pattern other than dietary factors influencing obesity has been reported by several large epidemiological studies. This study was carried out between 2010 and 2012 including 1613 adult residents in Zhejiang Province. Dietary patterns were extracted by factor analysis based on 24-h dietary recall. Associations with dietary patterns and obesity were examined and adjusted for age and gender by logistic regression. Five dietary patterns were identified by factor analysis with their eigenvalues greater than 1: ‘cereal, animal, and plant food’, ‘high protein food’, ‘plant food’, ‘poultry’, and ‘beverage’. After adjustment for age and gender, the ‘cereal, animal, and plant food’ and ‘beverage’ pattern was associated with obesity (OR = 2.924, 3.257; 95% CI = 1.147–7.463, 1.372–7.692). In conclusion, ‘cereal, animal, and plant food’ and ‘beverage’ dietary patterns may be associated with increased risk of obesity. ‘Cereal, animal, and plant food’ dietary patterns may be associated with increased risk of obesity resulting from increased total energy intake by increased protein and fat intake; while a ‘beverage’ dietary pattern may be associated with increased risk of obesity resulting from increased total energy intake by increased carbohydrate intake. The findings are valuable in targeting future nutrition education. View Full-Text
Keywords: dietary pattern; obesity; beverage dietary pattern; obesity; beverage
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Zou, Y.; Zhang, R.; Xia, S.; Huang, L.; Meng, J.; Fang, Y.; Ding, G. Dietary Patterns and Obesity among Chinese Adults: Results from a Household-Based Cross-Sectional Study. Int. J. Environ. Res. Public Health 2017, 14, 487.

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