Literature DB >> 32029055

Association of Red Meat Usual Intake with Serum Ferritin and the Risk of Metabolic Syndrome in Chinese Adults: A Longitudinal Study from the China Health and Nutrition Survey.

Li Na Huang1, Hui Jun Wang1, Zhi Hong Wang1, Ji Guo Zhang1, Xiao Fang Jia1, Bing Zhang1, Gang Qiang Ding1.   

Abstract

OBJECTIVE: The present study aimed to investigate the association of red meat usual intake with metabolic syndrome (MetS), and explore the contribution of red meat usual intake to serum ferritin.
METHODS: Based on the data from the longitudinal China Health and Nutrition Survey (CHNS), 2,797 healthy adults aged 18-75 years without hypertension, diabetes, and MetS were selected in 2009 as subjects and follow-up studies were carried out till 2015. We used the National Cancer Institute (NCI) method to estimate the usual intake of foods. Multivariable logistic regressions were performed to evaluate the association between red meat usual intake and the risk of MetS. Quantile regression analysis was used to study the relationship between red meat consumption and serum ferritin levels.
RESULTS: After adjusting for potential confounders, red meat, and fresh red meat were positively associated with the risk of MetS ( RR = 1.41, 95% CI: 1.05-1.90 and RR = 1.37, 95% CI: 1.02-1.85, respectively). These relationships showed increasing trend ( P < 0.05). The level of serum ferritin increased significantly with the number of MetS components ( P < 0.05). The quantile regression analysis showed that red meat and fresh red meat usual intake had a significant positive association with serum ferritin levels across the entire conditional serum ferritin distribution ( P < 0.05). Processed red meat did not exhibit a similar association.
CONCLUSION: Higher red meat usual intake was associated with an increased risk of MetS and elevated serum ferritin levels.
Copyright © 2020 The Editorial Board of Biomedical and Environmental Sciences. Published by China CDC. All rights reserved.

Entities:  

Keywords:  Metabolic syndrome; Red meat; Serum ferritin; Usual intake

Mesh:

Substances:

Year:  2020        PMID: 32029055     DOI: 10.3967/bes2020.003

Source DB:  PubMed          Journal:  Biomed Environ Sci        ISSN: 0895-3988            Impact factor:   3.118


  9 in total

1.  Association of Red Meat and Poultry Consumption With the Risk of Metabolic Syndrome: A Meta-Analysis of Prospective Cohort Studies.

Authors:  Hongbin Guo; Jun Ding; Jieyu Liang; Yi Zhang
Journal:  Front Nutr       Date:  2021-07-08

Review 2.  Meat consumption: Which are the current global risks? A review of recent (2010-2020) evidences.

Authors:  Neus González; Montse Marquès; Martí Nadal; José L Domingo
Journal:  Food Res Int       Date:  2020-05-29       Impact factor: 6.475

3.  Associations of Carbohydrate Intake With New-Onset Hypertension Subtypes: Results From the China Health and Nutrition Survey (2000-2011).

Authors:  Su-Fen Qi; Ya-Jing Cao; Hui-Jun Wang; Bing Zhang; Jing Yan; Qing-Bao Tian
Journal:  Front Nutr       Date:  2022-01-06

4.  Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017.

Authors:  Fan Yao; Yacong Bo; Liyun Zhao; Yaru Li; Lahong Ju; Hongyun Fang; Wei Piao; Dongmei Yu; Xiangqian Lao
Journal:  Nutrients       Date:  2021-12-15       Impact factor: 5.717

5.  The Effects of Smoking on Metabolic Syndrome and Its Components Using Causal Methods in the Iranian Population.

Authors:  Farzad Khodamoradi; Maryam Nazemipour; Nasrin Mansournia; Kamran Yazdani; Davood Khalili; Mohammad Ali Mansournia
Journal:  Int J Prev Med       Date:  2021-09-29

6.  Interactions between red and processed meat consumption and APOA5 gene variants associated with the incidence of metabolic syndrome in Korean adults.

Authors:  Woo Jeong Choi; Dayeon Shin
Journal:  Genes Nutr       Date:  2022-04-25       Impact factor: 4.423

7.  A Freshwater Fish-Based Diet Alleviates Liver Steatosis by Modulating Gut Microbiota and Metabolites: A Clinical Randomized Controlled Trial in Chinese Participants With Nonalcoholic Fatty Liver Disease.

Authors:  Kaiyin He; Li-Liangzi Guo; Huijun Tang; Xiaojuan Peng; Juan Li; Shufen Feng; Caiqun Bie; Weiwei Chen; Yuting Li; Min Wang; Shaohui Tang
Journal:  Am J Gastroenterol       Date:  2022-06-17       Impact factor: 12.045

8.  Associations of dietary diversity with the gut microbiome, fecal metabolites, and host metabolism: results from 2 prospective Chinese cohorts.

Authors:  Congmei Xiao; Jia-Ting Wang; Chang Su; Zelei Miao; Jun Tang; Yifei Ouyang; Yan Yan; Zengliang Jiang; Yuanqing Fu; Menglei Shuai; Wanglong Gou; Fengzhe Xu; Evan Y-W Yu; Yuhui Liang; Xinxiu Liang; Yunyi Tian; Jiali Wang; Feifei Huang; Bing Zhang; Huijun Wang; Yu-Ming Chen; Ju-Sheng Zheng
Journal:  Am J Clin Nutr       Date:  2022-10-06       Impact factor: 8.472

9.  The Relationship of Hyperferritinemia to Metabolism and Chronic Complications in Type 2 Diabetes.

Authors:  Xiaojing Shang; Rui Zhang; Xiaolai Wang; Junxin Yao; Xiaoying Zhao; Huanming Li
Journal:  Diabetes Metab Syndr Obes       Date:  2022-01-15       Impact factor: 3.168

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.