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.

Background Grassroots center for disease control and prevention (CDC) staff undertake intensive work of disease prevention and control, and may be susceptible to occupational stress, anxiety, depression, and other health problems. Objective To understand the current situation of occupational stress, anxiety, and depression among grassroots CDC staff, and to identify potential risk factor configurations for occupational stress, anxiety, and depression using fuzzy set qualitative comparative analysis (fsQCA), so as to provide a basis for effective intervention. Methods The staff working in county/district-level CDCs in Hebei Province were the target population of the current study. Stratified random cluster sampling method was used to select 1860 staff members of the target population. A questionnaire of general situation, Job Content Scale, 7-item Generalized Anxiety Disorder Scale, and Patient Health Questionnaire-9 were used. Risk factor configurations associated with health outcomes of interest were identified by fsQCA3.0 software. Results The positive rates of occupational stress, anxiety, and depression were 42.69%, 44.25%, and 47.96%, respectively. Marital status was a necessary condition for occupational stress, anxiety, and depression in the grassroots CDC staff (the necessity values were 0.911, 0.939, and 0.933, respectively). There were two types of risk factor configurations for occupational stress: "self-improvement" and "disease burden"; the risk factor configurations for anxiety were "disease burden" and "economic-disease burden"; while the risk factor configurations for depression were "disease burden", "economic-disease burden", and "self-improvement". The overall consistency scores of occupational stress, anxiety, and depression were 0.941, 0.820, and 0.774, respectively. Regarding outstanding components, "self-improvement" included pressure of job requirements and promotion, "disease burden" included impact of chronic illness on psychological state, and "economic-disease burden" included not only impact of chronic illness but also financial support for CDC staff. Conclusion All positive rates of occupational stress, anxiety, and depression are high among grassroots CDC staff in Hebei Province. Occupational stress, anxiety, and depression of grassroots CDC staff are the results of multiple influencing factors, so targeted intervention measures should be formulated.