Journal article
K. Jiang, Zhen Zhang, Lee Ann Fullington, T. Huang, Catherine Kaliszewski, Jing Wei, Li Zhao, Shuyuan Huang, Amy Ellithorpe, Shenghui Wu, Xinyin Jiang, Liangmin Wang
Nutrients, 2022
Nutrients, 2022
Semantic Scholar
DOI
PubMedCentral
PubMed
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Cite
APA
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Jiang, K., Zhang, Z., Fullington, L. A., Huang, T., Kaliszewski, C., Wei, J., … Wang, L. (2022). Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis. Nutrients.
Chicago/Turabian
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Jiang, K., Zhen Zhang, Lee Ann Fullington, T. Huang, Catherine Kaliszewski, Jing Wei, Li Zhao, et al. “Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis.” Nutrients (2022).
MLA
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Jiang, K., et al. “Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis.” Nutrients, 2022.
BibTeX Click to copy
@article{k2022a,
title = {Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis},
year = {2022},
journal = {Nutrients},
author = {Jiang, K. and Zhang, Zhen and Fullington, Lee Ann and Huang, T. and Kaliszewski, Catherine and Wei, Jing and Zhao, Li and Huang, Shuyuan and Ellithorpe, Amy and Wu, Shenghui and Jiang, Xinyin and Wang, Liangmin}
}
Abstract
Certain dietary patterns are associated with an increased risk of obesity and its comorbidities. However, these associations vary across populations. The prevalence of obesity has been rising amid a drastic nutrition transition in China during the country’s rapid economic growth. This systematic review and meta-analysis were conducted to summarize how dietary patterns are associated with obesity in the Chinese population. We searched for articles from 1 January 2000 to 1 February 2022 in PubMed, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus that assessed the relationship between dietary patterns and obesity outcomes. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using a random effects model. From the 2556 articles identified from the search, 23 articles were included in the analysis. We found that the traditional Chinese dietary pattern was associated with a lower risk of overweight/obesity (OR = 0.69, 95% CI: 0.57, 0.84, p < 0.001), whereas the Western dietary pattern was associated with a higher OR of overweight/obesity, but not reaching statistical significance (OR = 1.34, 95% CI: 0.98, 1.84, p = 0.07). There were inconsistent results for other dietary patterns, such as meat/animal protein and plant/vegetarian patterns. In conclusion, the traditional Chinese diet characterized by vegetables, rice, and meat was associated with a lower risk of obesity. The heterogeneity in characterizing dietary patterns contributes to the inconsistency of how dietary patterns are associated with obesity in the Chinese population.
