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CN 34-1304/RISSN 1674-3679

Volume 27 Issue 6
Jun.  2023
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ZHAO Hui, FU Wenhui, AILI Dilihumaer, LUO Tao, QIAO Tingting, ZHANG Guozhen, DAI Jianghong. Relationship between dietary inflammatory and frailty among rural residents over the age of 60 in the Yili region of Xinjiang[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(6): 722-725. doi: 10.16462/j.cnki.zhjbkz.2023.06.018
Citation: ZHAO Hui, FU Wenhui, AILI Dilihumaer, LUO Tao, QIAO Tingting, ZHANG Guozhen, DAI Jianghong. Relationship between dietary inflammatory and frailty among rural residents over the age of 60 in the Yili region of Xinjiang[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(6): 722-725. doi: 10.16462/j.cnki.zhjbkz.2023.06.018

Relationship between dietary inflammatory and frailty among rural residents over the age of 60 in the Yili region of Xinjiang

doi: 10.16462/j.cnki.zhjbkz.2023.06.018
Funds:

Founding from Key Laboratory of Special Environment and Health Research in Xinjiang SKL-SEHR-2021-07

National Natural Science Foundation of China 82160640

National Key Research and Development Plan 2017YFC0907203

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  • Corresponding author: DAI Jianghong,E-mail: epi102@sina.com
  • Received Date: 2022-06-06
  • Rev Recd Date: 2022-10-01
  • Available Online: 2023-07-10
  • Publish Date: 2023-06-10
  •   Objective  This study aims to investigate the association between dietary inflammation and frailty among rural residents over 60 years old in Yili, Xinjiang.  Methods  A total of 1 682 residents over 60 years old were recruited from Huocheng County, Yili Region, Xinjiang, from January to May, 2019. A questionnaire survey and physical examination were conducted. Dietary inflammation and frailty of subjects were evaluated by energy-density dietary inflammatory index (EDII) and frailty index. A logistic regression analysis model was employed to analyze the relationship between dietary inflammation and frailty.  Results  The prevalence of prefrailty and frailty were 50.65% and 8.97%, respectively. These rates were higher among males, Uygurs, individuals with lower education levels, lower annual family income, those who were divorced, widowed, or unmarried, and subjects who engaged in less physical activity. After adjusting for gender, ethnicity, family annual income, marital status and physical activity, the risk of prefrailty and frailty increased with the EDII score (all Ptrend < 0.05). Individuals in EDII tertiles T2 (versus T1) were more likely to be pre-frailty (OR=1.37, 95% CI: 1.04-1.82, P=0.027) and frailty (OR=2.18, 95% CI: 1.26-3.76, P=0.005). Individuals in EDII T3 also had greater odds of pre-frailty (OR=1.32, 95% CI: 1.02-1.72, P=0.036) and frailty (OR=2.17, 95% CI: 1.28-3.68, P=0.004).  Conclusions   Dietary inflammation is associated with pre-frailty and frailty, and diet may participate in the occurrence and development of frailty through inflammatory effects.
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