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. 2018 Sep;21(13):2409-2416.
doi: 10.1017/S1368980018001088. Epub 2018 May 2.

Dietary patterns and the risk of metabolic syndrome in Chinese adults: a population-based cross-sectional study

Zhi-Yong Wei  1 , Jun-Jie Liu  2 , Xue-Mei Zhan  1 , Hao-Miao Feng  3 , Yuan-Yuan Zhang  4
Affiliations

Dietary patterns and the risk of metabolic syndrome in Chinese adults: a population-based cross-sectional study

Zhi-Yong Wei et al. Public Health Nutr. 2018 Sep.

Abstract

Objective: Data on dietary patterns in relation to the risk of metabolic syndrome (MetS) in a middle-aged Chinese population are sparse. The present study was performed to determine the major dietary patterns among a population aged 45-59 years and to evaluate their associations with MetS risk in China.

Design: Cross-sectional examination of the association between dietary patterns and MetS. Face-to-face interviews were used to assess dietary intake using a validated semi-quantitative FFQ. OR and 95 % CI for MetS were calculated across quartiles of dietary pattern scores using multivariate logistic regression analysis models.

Setting: City of Linyi, Shandong Province, China.

Subjects: Adults (n 1918) aged 45-59 years.

Results: Three major dietary patterns were identified: traditional Chinese, animal food and high-energy. After adjustment for potential confounders, individuals in the highest quartile of the traditional Chinese pattern had a reduced risk of MetS relative to the lowest quartile (OR=0·72, 95 % CI 0·596, 0·952; P<0·05). Compared with those in the lowest quartile, individuals in the highest quartile of the animal food pattern had a greater risk of MetS (OR=1·28; 95 % CI 1·103, 1·697; P<0·05). No significant association was observed between the high-energy pattern and risk of MetS.

Conclusions: These findings indicate that the traditional Chinese pattern was associated with a reduced risk, while the animal food pattern was associated with increased risk of MetS. Given the cross-sectional nature of our study, further prospective studies are warranted to confirm these findings.

Keywords: Chinese; Cross-sectional study; Dietary patterns; Factor analysis; Metabolic syndrome.

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