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Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis
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 rev...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698822/ https://www.ncbi.nlm.nih.gov/pubmed/36432596 http://dx.doi.org/10.3390/nu14224911 |
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author | Jiang, Karen Zhang, Zhen Fullington, Lee Ann Huang, Terry T. Kaliszewski, Catherine Wei, Jingkai Zhao, Li Huang, Shuyuan Ellithorpe, Amy Wu, Shenghui Jiang, Xinyin Wang, Liang |
author_facet | Jiang, Karen Zhang, Zhen Fullington, Lee Ann Huang, Terry T. Kaliszewski, Catherine Wei, Jingkai Zhao, Li Huang, Shuyuan Ellithorpe, Amy Wu, Shenghui Jiang, Xinyin Wang, Liang |
author_sort | Jiang, Karen |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9698822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96988222022-11-26 Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis Jiang, Karen Zhang, Zhen Fullington, Lee Ann Huang, Terry T. Kaliszewski, Catherine Wei, Jingkai Zhao, Li Huang, Shuyuan Ellithorpe, Amy Wu, Shenghui Jiang, Xinyin Wang, Liang Nutrients Review 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. MDPI 2022-11-20 /pmc/articles/PMC9698822/ /pubmed/36432596 http://dx.doi.org/10.3390/nu14224911 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Jiang, Karen Zhang, Zhen Fullington, Lee Ann Huang, Terry T. Kaliszewski, Catherine Wei, Jingkai Zhao, Li Huang, Shuyuan Ellithorpe, Amy Wu, Shenghui Jiang, Xinyin Wang, Liang Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis |
title | Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis |
title_full | Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis |
title_fullStr | Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis |
title_full_unstemmed | Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis |
title_short | Dietary Patterns and Obesity in Chinese Adults: A Systematic Review and Meta-Analysis |
title_sort | dietary patterns and obesity in chinese adults: a systematic review and meta-analysis |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9698822/ https://www.ncbi.nlm.nih.gov/pubmed/36432596 http://dx.doi.org/10.3390/nu14224911 |
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