M R Dong, Y F Ouyang, Y L Wei, H J Wang, A D Liu, Z H Wang, X R Yuan, X H Dong, J G Zhang
{"title":"[膳食模式与中国成年人血清尿酸和高尿酸血症的关系]。","authors":"M R Dong, Y F Ouyang, Y L Wei, H J Wang, A D Liu, Z H Wang, X R Yuan, X H Dong, J G Zhang","doi":"10.3760/cma.j.cn112338-20240507-00242","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> To analyze the dietary patterns of Chinese adults and explore the relationship with serum uric acid (SUA) and hyperuricemia (HUA). <b>Methods:</b> A total of 9 358 adults were selected in the 2018 China Health and Nutrition Survey. Dietary intake data were collected by three consecutive 24-hour dietary recalls and weighing method. The social demographic information of the survey subjects was obtained through questionnaire surveys. The dietary patterns were extracted using factor analysis, and the relationship between dietary patterns and SUA was analyzed using multiple linear regression analysis. The correlation between HUA and dietary patterns was analyzed using logistic regression analysis models. <b>Results:</b> Four dietary patterns were identified: northern (high intakes of wheat, other cereals,and tubers); modern (high intakes of fruit, dairy, eggs, and nuts); southern (high intakes of rice and vegetables);animal food-wine (high intake of organ meats, seafood, and wine). The multiple linear regression analysis results showed that the northern pattern was negatively correlated with SUA (<i>β</i>=-0.438, 95%<i>CI</i>: -0.500--0.376); the modern pattern was negatively correlated with SUA (<i>β</i>=-0.134, 95%<i>CI</i>: -0.219--0.049); the southern model was significantly correlated with higher SUA (<i>β</i>=0.146, 95%<i>CI</i>: 0.079-0.214); the animal food-wine pattern was positively correlated with SUA (<i>β</i>=0.188, 95%<i>CI</i>: 0.123-0.252). Logistic regression analysis showed that compared with the northern model score <i>Q</i><sub>1</sub> group, the risk of developing HUA was reduced in <i>Q</i><sub>3</sub> and <i>Q</i><sub>4</sub> groups, with <i>OR</i>s values of 0.777 (95%<i>CI</i>: 0.650-0.929) and 0.509 (95%<i>CI</i>: 0.423-0.613), respectively; and compared with the modern model score <i>Q</i><sub>1</sub> group, the higher the scores in <i>Q</i><sub>3</sub> and <i>Q</i><sub>4</sub> groups, the HUA was lower, with <i>OR</i>s of 0.793 (95%<i>CI</i>: 0.660-0.953) and 0.768 (95%<i>CI</i>: 0.631-0.934), respectively. Compared with the animal food-wine pattern score <i>Q</i><sub>1</sub> group, the risk of developing HUA was increased in both <i>Q</i><sub>3</sub> and <i>Q</i><sub>4</sub> groups (<i>Q</i><sub>3</sub> group: <i>OR</i>=1.224, 95%<i>CI</i>: 1.012-1.480; <i>Q</i><sub>4</sub> group: <i>OR</i>=1.312, 95%<i>CI</i>: 1.086-1.584). <b>Conclusions:</b> Dietary patterns are associated with HUA. The northern and modern patterns are related to lower SUA levels and reduced risk of HUA, while the animal food-wine pattern increases the risk of HUA.</p>","PeriodicalId":23968,"journal":{"name":"中华流行病学杂志","volume":"45 10","pages":"1403-1409"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"[Association of dietary patterns with serum uric acid and hyperuricemia in Chinese adults].\",\"authors\":\"M R Dong, Y F Ouyang, Y L Wei, H J Wang, A D Liu, Z H Wang, X R Yuan, X H Dong, J G Zhang\",\"doi\":\"10.3760/cma.j.cn112338-20240507-00242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> To analyze the dietary patterns of Chinese adults and explore the relationship with serum uric acid (SUA) and hyperuricemia (HUA). <b>Methods:</b> A total of 9 358 adults were selected in the 2018 China Health and Nutrition Survey. Dietary intake data were collected by three consecutive 24-hour dietary recalls and weighing method. The social demographic information of the survey subjects was obtained through questionnaire surveys. The dietary patterns were extracted using factor analysis, and the relationship between dietary patterns and SUA was analyzed using multiple linear regression analysis. The correlation between HUA and dietary patterns was analyzed using logistic regression analysis models. <b>Results:</b> Four dietary patterns were identified: northern (high intakes of wheat, other cereals,and tubers); modern (high intakes of fruit, dairy, eggs, and nuts); southern (high intakes of rice and vegetables);animal food-wine (high intake of organ meats, seafood, and wine). The multiple linear regression analysis results showed that the northern pattern was negatively correlated with SUA (<i>β</i>=-0.438, 95%<i>CI</i>: -0.500--0.376); the modern pattern was negatively correlated with SUA (<i>β</i>=-0.134, 95%<i>CI</i>: -0.219--0.049); the southern model was significantly correlated with higher SUA (<i>β</i>=0.146, 95%<i>CI</i>: 0.079-0.214); the animal food-wine pattern was positively correlated with SUA (<i>β</i>=0.188, 95%<i>CI</i>: 0.123-0.252). Logistic regression analysis showed that compared with the northern model score <i>Q</i><sub>1</sub> group, the risk of developing HUA was reduced in <i>Q</i><sub>3</sub> and <i>Q</i><sub>4</sub> groups, with <i>OR</i>s values of 0.777 (95%<i>CI</i>: 0.650-0.929) and 0.509 (95%<i>CI</i>: 0.423-0.613), respectively; and compared with the modern model score <i>Q</i><sub>1</sub> group, the higher the scores in <i>Q</i><sub>3</sub> and <i>Q</i><sub>4</sub> groups, the HUA was lower, with <i>OR</i>s of 0.793 (95%<i>CI</i>: 0.660-0.953) and 0.768 (95%<i>CI</i>: 0.631-0.934), respectively. Compared with the animal food-wine pattern score <i>Q</i><sub>1</sub> group, the risk of developing HUA was increased in both <i>Q</i><sub>3</sub> and <i>Q</i><sub>4</sub> groups (<i>Q</i><sub>3</sub> group: <i>OR</i>=1.224, 95%<i>CI</i>: 1.012-1.480; <i>Q</i><sub>4</sub> group: <i>OR</i>=1.312, 95%<i>CI</i>: 1.086-1.584). <b>Conclusions:</b> Dietary patterns are associated with HUA. The northern and modern patterns are related to lower SUA levels and reduced risk of HUA, while the animal food-wine pattern increases the risk of HUA.</p>\",\"PeriodicalId\":23968,\"journal\":{\"name\":\"中华流行病学杂志\",\"volume\":\"45 10\",\"pages\":\"1403-1409\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中华流行病学杂志\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3760/cma.j.cn112338-20240507-00242\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华流行病学杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/cma.j.cn112338-20240507-00242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
摘要
目的分析中国成年人的膳食模式,探讨其与血清尿酸(SUA)和高尿酸血症(HUA)的关系。方法在2018年中国健康与营养调查中,共选取了9 358名成年人。通过连续 3 次 24 小时膳食回顾和称重法收集膳食摄入数据。调查对象的社会人口学信息通过问卷调查获得。采用因子分析法提取膳食模式,并采用多元线性回归分析法分析膳食模式与 SUA 之间的关系。采用逻辑回归分析模型分析了 HUA 与膳食模式之间的相关性。结果确定了四种膳食模式:北方(小麦、其他谷物和块茎类食物摄入量高);现代(水果、奶制品、鸡蛋和坚果摄入量高);南方(大米和蔬菜摄入量高);动物性食物-葡萄酒(内脏肉类、海鲜和葡萄酒摄入量高)。多元线性回归分析结果显示,北方模式与 SUA 负相关(β=-0.438,95%CI:-0.500--0.376);现代模式与 SUA 负相关(β=-0.134,95%CI:-0.219--0.049);南方模式与较高的 SUA 显著相关(β=0.146,95%CI:0.079-0.214);动物食品-葡萄酒模式与 SUA 正相关(β=0.188,95%CI:0.123-0.252)。逻辑回归分析显示,与北方模式评分 Q1 组相比,Q3 组和 Q4 组发生 HUA 的风险降低,ORs 值分别为 0.777(95%CI:0.650-0.929)和 0.509(95%CI:0.423-0.613);与现代模式得分 Q1 组相比,Q3 组和 Q4 组得分越高,HUA 越低,OR 值分别为 0.793(95%CI:0.660-0.953)和 0.768(95%CI:0.631-0.934)。与动物性食物-葡萄酒模式得分 Q1 组相比,Q3 组和 Q4 组患 HUA 的风险均有所上升(Q3 组:OR=1.224,95%CI:0.631-0.934):OR=1.224,95%CI:1.012-1.480;Q4 组:OR=1.312,95%CI:1.086-1.584)。结论饮食模式与 HUA 有关。北方和现代膳食模式与较低的 SUA 水平和较低的 HUA 风险有关,而动物性食物-葡萄酒膳食模式会增加 HUA 风险。
[Association of dietary patterns with serum uric acid and hyperuricemia in Chinese adults].
Objective: To analyze the dietary patterns of Chinese adults and explore the relationship with serum uric acid (SUA) and hyperuricemia (HUA). Methods: A total of 9 358 adults were selected in the 2018 China Health and Nutrition Survey. Dietary intake data were collected by three consecutive 24-hour dietary recalls and weighing method. The social demographic information of the survey subjects was obtained through questionnaire surveys. The dietary patterns were extracted using factor analysis, and the relationship between dietary patterns and SUA was analyzed using multiple linear regression analysis. The correlation between HUA and dietary patterns was analyzed using logistic regression analysis models. Results: Four dietary patterns were identified: northern (high intakes of wheat, other cereals,and tubers); modern (high intakes of fruit, dairy, eggs, and nuts); southern (high intakes of rice and vegetables);animal food-wine (high intake of organ meats, seafood, and wine). The multiple linear regression analysis results showed that the northern pattern was negatively correlated with SUA (β=-0.438, 95%CI: -0.500--0.376); the modern pattern was negatively correlated with SUA (β=-0.134, 95%CI: -0.219--0.049); the southern model was significantly correlated with higher SUA (β=0.146, 95%CI: 0.079-0.214); the animal food-wine pattern was positively correlated with SUA (β=0.188, 95%CI: 0.123-0.252). Logistic regression analysis showed that compared with the northern model score Q1 group, the risk of developing HUA was reduced in Q3 and Q4 groups, with ORs values of 0.777 (95%CI: 0.650-0.929) and 0.509 (95%CI: 0.423-0.613), respectively; and compared with the modern model score Q1 group, the higher the scores in Q3 and Q4 groups, the HUA was lower, with ORs of 0.793 (95%CI: 0.660-0.953) and 0.768 (95%CI: 0.631-0.934), respectively. Compared with the animal food-wine pattern score Q1 group, the risk of developing HUA was increased in both Q3 and Q4 groups (Q3 group: OR=1.224, 95%CI: 1.012-1.480; Q4 group: OR=1.312, 95%CI: 1.086-1.584). Conclusions: Dietary patterns are associated with HUA. The northern and modern patterns are related to lower SUA levels and reduced risk of HUA, while the animal food-wine pattern increases the risk of HUA.
期刊介绍:
Chinese Journal of Epidemiology, established in 1981, is an advanced academic periodical in epidemiology and related disciplines in China, which, according to the principle of integrating theory with practice, mainly reports the major progress in epidemiological research. The columns of the journal include commentary, expert forum, original article, field investigation, disease surveillance, laboratory research, clinical epidemiology, basic theory or method and review, etc.
The journal is included by more than ten major biomedical databases and index systems worldwide, such as been indexed in Scopus, PubMed/MEDLINE, PubMed Central (PMC), Europe PubMed Central, Embase, Chemical Abstract, Chinese Science and Technology Paper and Citation Database (CSTPCD), Chinese core journal essentials overview, Chinese Science Citation Database (CSCD) core database, Chinese Biological Medical Disc (CBMdisc), and Chinese Medical Citation Index (CMCI), etc. It is one of the core academic journals and carefully selected core journals in preventive and basic medicine in China.