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Title

膳食模式、炎症指数与慢性病代谢指标的 相关性.

Authors

冯耀清; 郭丹丹; 苏恩惠; 韩世范; 朱瑞芳

Abstract

Objective: To investigate the relationship between dietary pattern, dietary inflammation index(DII) and chronic metabolic indexes of adult residents in Shanxi Province. Methods: A total of 1 396 adult residents were included in the study using multi-stage stratified cluster random sampling method based on the data of China Nutrition and Health Monitoring(CNNHS) project in Shanxi Province from 2010 to 2012. Through questionnaire survey, physical examination and laboratory examination, different dietary patterns and the correlation between dietary inflammatory index and metabolic index were analyzed. Results: There was a high proportion of overweight, obesity and abdominal obesity among adult residents in Shanxi Province, and the prevalence of hypertension, hyperglycemia and metabolic syndrome was also high. By factor analysis, four dietary patterns were obtained: grain pattern, meat pattern, meat pattern and oil and salt pattern. The dietary inflammation index was positively correlated with waist circumference. Abdominal obesity was positively correlated with systolic blood pressure and blood glucose levels. Conclusion: High inflammatory dietary pattern may be associated with chronic metabolic disorders. Improving dietary patterns, especially increasing the intake of antioxidants and antiinflammatory substances, may help reduce the risk of chronic inflammatory diseases. It is recommended to promote healthy dietary patterns through public health interventions to prevent and manage chronic diseases.

Subjects

STATISTICAL correlation; DIETARY patterns; STATISTICAL sampling; QUESTIONNAIRES; HYPERTENSION; GRAIN; MEAT; CHRONIC diseases; HYPERGLYCEMIA; DIETARY sodium; WAIST circumference; BLOOD sugar; METABOLIC syndrome; FATS & oils; RESEARCH; INFLAMMATION; FACTOR analysis; SYSTOLIC blood pressure; OBESITY

Publication

Chinese Nursing Research, 2024, Vol 38, Issue 11, p1927

ISSN

1009-6493

Publication type

Academic Journal

DOI

10.12102/j.issn.1009-6493.2024.11.008

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