Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017
BackgroundDiet is one of the important factors affecting obesity, especially central obesity. Dietary patterns can reflect the comprehensive effect of food and nutrients more comprehensively and truthfully, and effectively study the relationship between diet and human health. Therefore, it is of gre...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-05-01
|
| Series: | Frontiers in Nutrition |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnut.2025.1579434/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850238607879569408 |
|---|---|
| author | Jing Nan Yuxiang Yang Fusheng Li Shuya Cai Shuya Cai Wei Piao Wei Piao Liyun Zhao Liyun Zhao Jiao Xu Dongmei Yu Dongmei Yu |
| author_facet | Jing Nan Yuxiang Yang Fusheng Li Shuya Cai Shuya Cai Wei Piao Wei Piao Liyun Zhao Liyun Zhao Jiao Xu Dongmei Yu Dongmei Yu |
| author_sort | Jing Nan |
| collection | DOAJ |
| description | BackgroundDiet is one of the important factors affecting obesity, especially central obesity. Dietary patterns can reflect the comprehensive effect of food and nutrients more comprehensively and truthfully, and effectively study the relationship between diet and human health. Therefore, it is of great significance to study the association between dietary patterns and central obesity to promote the change of residents' dietary behavior in the direction of healthier.ObjectivesThe purpose of this study was to extract the dietary patterns among Chinese adults aged 18 and above and to explore its relationship with central obesity.MethodThe data was derived from the China Nutrition and Health Surveillance (2015–2017), and the sample participants were obtained by stratified, multi-stage, and random sampling. A total of 61,222 adults aged 18 or older with complete dietary information from mainland China were included in this study. The dietary frequency questionnaire was used to collect food intake information of the respondents, exploratory factor analysis was used to analyze the dietary patterns, and the relationship between dietary patterns and central obesity was analyzed by multivariate logistic regression.ResultsFour dietary patterns were extracted: classical pattern, vegetarian pattern, sugar-oil pattern, and western staple food pattern. The analysis showed that the higher the adherence to the classical pattern, the lower the risk of central obesity. In contrast, higher adherence to the sugar-oil pattern was associated with a higher risk of central obesity.ConclusionThe risk of central obesity was lower in people with classic pattern. The sugar-oil pattern was not conducive to reducing the risk of central obesity in Chinese adults. These findings provide nationally representative evidence for the development of strategies for the prevention and control of central obesity in Chinese adults. |
| format | Article |
| id | doaj-art-cbfbe2c1d09748bea4587fe802b5ebcb |
| institution | OA Journals |
| issn | 2296-861X |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Nutrition |
| spelling | doaj-art-cbfbe2c1d09748bea4587fe802b5ebcb2025-08-20T02:01:24ZengFrontiers Media S.A.Frontiers in Nutrition2296-861X2025-05-011210.3389/fnut.2025.15794341579434Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017Jing Nan0Yuxiang Yang1Fusheng Li2Shuya Cai3Shuya Cai4Wei Piao5Wei Piao6Liyun Zhao7Liyun Zhao8Jiao Xu9Dongmei Yu10Dongmei Yu11National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNHC Key Laboratory of Public Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNHC Key Laboratory of Public Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNHC Key Laboratory of Public Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaChina National Center for Food Safety Risk Assessment, Beijing, ChinaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaNHC Key Laboratory of Public Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, ChinaBackgroundDiet is one of the important factors affecting obesity, especially central obesity. Dietary patterns can reflect the comprehensive effect of food and nutrients more comprehensively and truthfully, and effectively study the relationship between diet and human health. Therefore, it is of great significance to study the association between dietary patterns and central obesity to promote the change of residents' dietary behavior in the direction of healthier.ObjectivesThe purpose of this study was to extract the dietary patterns among Chinese adults aged 18 and above and to explore its relationship with central obesity.MethodThe data was derived from the China Nutrition and Health Surveillance (2015–2017), and the sample participants were obtained by stratified, multi-stage, and random sampling. A total of 61,222 adults aged 18 or older with complete dietary information from mainland China were included in this study. The dietary frequency questionnaire was used to collect food intake information of the respondents, exploratory factor analysis was used to analyze the dietary patterns, and the relationship between dietary patterns and central obesity was analyzed by multivariate logistic regression.ResultsFour dietary patterns were extracted: classical pattern, vegetarian pattern, sugar-oil pattern, and western staple food pattern. The analysis showed that the higher the adherence to the classical pattern, the lower the risk of central obesity. In contrast, higher adherence to the sugar-oil pattern was associated with a higher risk of central obesity.ConclusionThe risk of central obesity was lower in people with classic pattern. The sugar-oil pattern was not conducive to reducing the risk of central obesity in Chinese adults. These findings provide nationally representative evidence for the development of strategies for the prevention and control of central obesity in Chinese adults.https://www.frontiersin.org/articles/10.3389/fnut.2025.1579434/fulldietary patterncentral obesityfactor analysiscross-sectional studiesChina |
| spellingShingle | Jing Nan Yuxiang Yang Fusheng Li Shuya Cai Shuya Cai Wei Piao Wei Piao Liyun Zhao Liyun Zhao Jiao Xu Dongmei Yu Dongmei Yu Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017 Frontiers in Nutrition dietary pattern central obesity factor analysis cross-sectional studies China |
| title | Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017 |
| title_full | Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017 |
| title_fullStr | Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017 |
| title_full_unstemmed | Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017 |
| title_short | Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017 |
| title_sort | association of dietary patterns with the risk of central obesity in chinese adults the china nutrition and health surveillance 2015 2017 |
| topic | dietary pattern central obesity factor analysis cross-sectional studies China |
| url | https://www.frontiersin.org/articles/10.3389/fnut.2025.1579434/full |
| work_keys_str_mv | AT jingnan associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT yuxiangyang associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT fushengli associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT shuyacai associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT shuyacai associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT weipiao associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT weipiao associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT liyunzhao associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT liyunzhao associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT jiaoxu associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT dongmeiyu associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 AT dongmeiyu associationofdietarypatternswiththeriskofcentralobesityinchineseadultsthechinanutritionandhealthsurveillance20152017 |