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CN 34-1304/RISSN 1674-3679

Volume 27 Issue 1
Jan.  2023
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TENG Yu-xin, JING Hui, Samuel Steven Chacha, WANG Zi-ping, SHI Guo-shuai, LI Shan-shan, LIU Dan-meng, YAN Hong, DANG Shao-nong. Association between dietary diversity and obesity metabolic phenotypes in obese adults in Xi'an[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(1): 23-28. doi: 10.16462/j.cnki.zhjbkz.2023.01.005
Citation: TENG Yu-xin, JING Hui, Samuel Steven Chacha, WANG Zi-ping, SHI Guo-shuai, LI Shan-shan, LIU Dan-meng, YAN Hong, DANG Shao-nong. Association between dietary diversity and obesity metabolic phenotypes in obese adults in Xi'an[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(1): 23-28. doi: 10.16462/j.cnki.zhjbkz.2023.01.005

Association between dietary diversity and obesity metabolic phenotypes in obese adults in Xi'an

doi: 10.16462/j.cnki.zhjbkz.2023.01.005
Funds:

Natural Science basic Research Program of Shaanxi Province 2021JM-034

National Research and Development Program 2017YFC0907200

National Research and Development Program 2017YFC0907201

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  • Corresponding author: DANG Shao-nong, E-mail: tjdshn@mail.xjtu.edu.cn
  • Received Date: 2022-01-21
  • Rev Recd Date: 2022-05-20
  • Available Online: 2023-02-09
  • Publish Date: 2023-01-10
  •   Objective  To investigate the association between dietary diversity and metabolic phenotypes of obesity in obese adults in Xi'an.  Methods  Data were from the baseline survey of Xi'an urban population in the northwest natural population cohort. A total of 1 069 obese participants assessed by BMI≥ 28 kg/m2 with blood samples were selected for analysis. Metabolic phenotypes of obesity were defined based on the metabolic syndrome by Joint Interim Statement criteria. By referring to the evaluation rules of dietary diversity score and the Chinese dietary guidelines the index for dietary diversity was establish. Logistic regression model was used to explore the association between dietary diversity and metabolic phenotypes of obesity.  Results  There were gender differences in dietary diversity. The total dietary diversity score of obesity participants with different metabolic phenotypes was significantly different. Compared with metabolically healthy obesity, the total dietary diversity score of participants with metabolically unhealthy obesity was lower [(4.20±1.88)vs.(4.51±1.97), P=0.010], mainly reflecting lower intake of meat, poultry, fish, eggs and dairy. After controlling for confounding factors, the participants with the highest score had a 38% lower risk of metabolic abnormalities compared to those with the lowest dietary diversity score (OR=0.62, 95% CI: 0.40-0.96). For each unit increase in dietary diversity score, the risk of metabolic abnormalities in obese people decreased by 10% (OR=0.90, 95% CI: 0.82-0.99), and this association was more obvious in women and strong metabolite equivalents obese people.  Conclusions  Increased dietary diversity may be associated with reduced risk of metabolic abnormalities in obese adults. Adopting diversified diet may be an important nutritional intervention to prevent and control metabolic abnormalities in obese people.
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