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Association between dietary inflammatory index and hyperglycemia among adults in China: an analysis of the CHNS database
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Shaoying CUI1, Yunqi YANG2, Xi KANG1, Xiaofan ZHANG1, 3, Xiaofang JIA1, 3, Wenwen DU1, 3, Huijun WANG1, 3, Yuna HE1, 3, Chang SU1, 3, Aidong LIU1, 3
Chinese Journal of Public Health | 2026, 42(3) : 257 - 265
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Chinese Journal of Public Health | 2026, 42(3): 257-265
• Special Report—Chronic Disease Prevention and Control •
Association between dietary inflammatory index and hyperglycemia among adults in China: an analysis of the CHNS database
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Shaoying CUI1, Yunqi YANG2, Xi KANG1, Xiaofan ZHANG1, 3, Xiaofang JIA1, 3, Wenwen DU1, 3, Huijun WANG1, 3, Yuna HE1, 3, Chang SU1, 3, Aidong LIU1, 3
Affiliations
  • 1National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
  • 2Tianjin Occupational Diseases Precaution and Therapeutic Hospital, Tianjin 300011, China
  • 3Key Laboratory of Public Nutrition and Health, National Health Commission of the People′s Republic of China, Beijing 100050, China
Published: 2026-03-10 doi: 10.11847/zgggws1147501
Outline
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Objective

To investigate the associations of the energy-adjusted dietary inflammatory index (E-DII) with hyperglycemia risk and fasting plasma glucose (FPG) level among adults in China.

Methods

A total of 9 363 adults aged ≥ 18 years who participated in at least two rounds of the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018, with complete dietary data and blood glucose measurements, were included. The E-DII was calculated based on a quantitative food frequency questionnaire (FFQ). Participants were assigned into quintiles (Q1–Q5) according to the E-DII distribution in each survey year. The associations of E-DII with hyperglycemia risk and FPG level were analyzed via a three-level logistic mixed-effects model and a three-level linear mixed-effects model, respectively, with inverse probability of treatment weighting (IPTW) for confounding adjustment.

Results

The baseline mean age of the 9 363 participants was (51.4 ± 13.1) years, with an average follow-up of 5.6 years. The E-DII scores ranged from −4.5 to 5.2, with a mean of 0.6. The prevalence of hyperglycemia was 24.2%. After adjusting for confounders, compared with the Q5 group (highest pro-inflammatory diet), the Q2 group in the overall population had a decreased risk of hyperglycemia (OR = 0.616, 95%CI: 0.470 to 0.807). Similar trends were observed in males, individuals aged 45–59 years at baseline, both rural and urban residents, and the overall population. In the overall population, the Q4 group exhibited a 0.046 mmol/L decrease in FPG (95%CI: −0.091 to −0.001). In females, the Q1 group showed a 0.120 mmol/L reduction in FPG (95%CI: −0.216 to −0.024). Among participants aged 18–44 years at baseline, the Q1 and Q4 groups had FPG reductions of 0.160 mmol/L (95%CI: −0.281 to −0.039) and 0.128 mmol/L (95%CI: −0.238 to −0.018), respectively. Urban residents in the Q3 and Q4 groups demonstrated FPG decreases of 0.195 mmol/L (95%CI: −0.349 to −0.041) and 0.180 mmol/L (95%CI: −0.330 to −0.029), respectively.

Conclusions

Reducing dietary inflammatory potential may aid in FBG control and hyperglycemia prevention among Chinese adults.

dietary inflammatory index  /  hyperglycemia  /  adults  /  propensity score  /  inverse probability of treatment weighting
崔少颖, 杨云淇, 康喜, 张晓帆, 贾小芳, 杜文雯, 王惠君, 何宇纳, 苏畅, 刘爱东. 我国成年人膳食炎症指数与高血糖关联:基于中国健康与营养调查数据分析. 中国公共卫生, 2026 , 42 (3) : 257 -265 . DOI: 10.11847/zgggws1147501
Shaoying CUI, Yunqi YANG, Xi KANG, Xiaofan ZHANG, Xiaofang JIA, Wenwen DU, Huijun WANG, Yuna HE, Chang SU, Aidong LIU. Association between dietary inflammatory index and hyperglycemia among adults in China: an analysis of the CHNS database[J]. Chinese Journal of Public Health, 2026 , 42 (3) : 257 -265 . DOI: 10.11847/zgggws1147501
Year 2026 volume 42 Issue 3
136
59
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Article Info
doi: 10.11847/zgggws1147501
  • Receive Date:2025-03-25
  • Online Date:2026-10-23
  • Published:2026-03-10
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History
  • Received:2025-03-25
  • Revised:2025-07-02
  • Accepted:2025-08-13
Affiliations
    1National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
    2Tianjin Occupational Diseases Precaution and Therapeutic Hospital, Tianjin 300011, China
    3Key Laboratory of Public Nutrition and Health, National Health Commission of the People′s Republic of China, Beijing 100050, China

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LIU Aidong, E-mail:
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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