Background Studies have shown that a direct association exists between the diet and blood uric acid concentrations. However, works on the association of dietary patterns with blood uric acid concentrations and hyperuricemia remain limited.  Objective This study aims to evaluate the association of dietary patterns with blood uric acid concentrations and hyperuricemia. Methods The relationship between dietary patterns and hyperuricemia was explored through a nutritional epidemiological survey in China (n = 4855). Three statistical methods, including principal component analysis, reduced rank regression (RRR), and partial least squares regression, were used to extract dietary patterns. General linear regression and logistic regression analyses were utilized to explore the relationship of dietary patterns with blood uric acid concentrations and hyperuricemia. Results After adjusting for potential confounding factors, the score for the plant-based dietary pattern was found to be negatively correlated with blood uric acid levels (β =  − 3.225) and that for the animal dietary pattern was discovered to be directly correlated with blood uric acid levels (β = 3.645). The participants in the highest quartile of plant-based dietary pattern scores were at a low risk of hyperuricemia (OR = 0.699; 95% CI: 0.561–0.870, P < 0.05), whereas those in the highest quartile of animal dietary pattern scores were at a high risk of hyperuricemia (OR = 1.401; 95% CI: 1.129–1.739, P < 0.05). The participants in the third quartile of scores for the RRR dietary pattern, which was characterized by the relatively high intake of poultry, sugary beverages, and animal organs and the low intake of desserts and snacks, had a significantly higher risk of hyperuricemia than those in the first quartile of scores for the RRR dietary pattern (OR = 1.421; 95% CI: 1.146–1.763, P < 0.05). Conclusions Our research indicated that plant-based dietary pattern analyzed by PCA was negatively associated with blood uric acid concentrations, while animal-based dietary pattern was directly associated with blood uric acid concentrations. The RRR dietary pattern may have the potential to induce elevations in blood uric acid concentrations.

VIP and NO participate in the modulatory effect of EA on gastric motility. EA at "Zusanli" acupoint (ST36) can improve gastric motility of the stressed rats by increasing the levels of VIP and NO.

We assessed the association between the Dietary inflammatory index (DII) and the development of metabolic syndrome in the elderly over 55 years in Northern China. The data of 1936 Chinese adults aged 55 and over from a community-based neurological disease cohort study from 2018 to 2019 were analyzed. Multiple logistic regression and restricted cubic splines regression were used for analysis, and social demographics, lifestyle, health-related factors were adjusted. In the fully adjusted model, the risk of metabolic syndrome increased by 1.28-fold in people with a pro-inflammatory diet. When we divide the metabolic syndrome by its components, high pro-inflammatory diet and hyperglycemia, triglycerides, hypertension, and abdominal obesity. We failed to observe a significant association between a high pro-inflammatory diet and HDL-C; However, these associations are moving in the expected direction. At the same time, the results of BMI subgroup analysis showed that with the increase of DII, obese people are at increased risk of metabolic syndrome, hyperglycemia, high triglycerides, hypertension, and abdominal obesity. Also in overweight people, the increase in DII is accompanied by an increased risk of hyperglycemia and abdominal obesity. Higher inflammatory diet is related to metabolic syndrome, hypertension, hyperglycemia, abdominal obesity, and hypertriglyceridemia. Further research is needed to confirm the role of inflammation and diet in the development of metabolic syndrome; however, it is desirable to reduce the dietary components associated with inflammation.

ObjectivesOur study aimed to assess the association between the Dietary Inflammatory Index (DII) and depression in the elderly over 55 years in Northern China.MethodsWe analysed the data of 2022 Chinese adults aged 55 and over from a community-based neurological disease cohort study from 2018 to 2019. A validated semiquantitative food frequency questionnaire was used to assess eating habits at the time of inclusion. Multiple logistic regression was used for analysis, and social demographics, lifestyle and health-related factors were adjusted.ResultsAmong the included population, the prevalence of depression was 23.39%. Mean (SD) and range of the DII in the included population were 1.70 (1.42) and −5.20 to +5.68. The risk of depression was significantly higher in participants in the most pro-inflammatory group (quartile 4) than in the participants in the most anti-inflammatory group (quartile 1) (OR 1.53; 1.37 to 1.82; p-trend=0.01). The subgroup analysis of body mass index (BMI) showed that there is a significant association between DII and the risk of depression in overweight and obese people (p＜0.05). The restricted cubic spline results show that the OR value of depression possesses an upward trend with the increase of the DII score.ConclusionsAged patients with depression present a higher potential for dietary inflammation. Pro-inflammatory diets might increase the risk of depressive symptoms. Further research in different populations is crucial to confirm the association between DII and depression.

Background Sedentary behaviours (SBs) are now considered a risk factor for depression. Older adults are sedentary most of the time and are at a high risk of depression. However, not all types of SBs have adverse effects on mental health. Passive SBs (such as watching TV) increase the risk of depression, whereas mentally active SBs (such as using the internet and reading) decrease the risk of depression. The aim of this study was to explore the associations between type of SBs (i.e., passive and mentally active SBs) and depression among people aged 60 years and older in the Hebei Province of China. Methods This cross-sectional study used data from the baseline survey of the Community-based Cohort Study on Nervous System Diseases. A total of 2679 older adults aged ≥60 years from the Hebei Province of China were included in this study. The type and time spent on SBs were self-reported. Watching TV was defined as a passive SB, whereas internet use, reading, and social SBs (including communicating with others and playing chess) were defined as mentally active SBs. Depression was evaluated using the Geriatric Depression Scale. The maximal possible score was 30 points, and ≥ 11 points indicated depression. Logistic regression analysis was used to assess the relationship between SBs and depression. Covariates included sex, age, education, employment, smoking, alcohol consumption, sleep duration, domestic work, physical exercise, body mass index (BMI), and chronic diseases. Results At baseline, the participants who spent two or more hours and 0 h on passive SBs (i.e., TV viewing) had a greater risk of depression (=0 h: adjusted OR = 2.09, 95% CI = 1.18–3.76; 2–3 h: OR = 2.21, 95% CI = 1.16–4.16; > 3 h: OR = 3.59, 95% CI = 1.93–6.68) than the participants who spent 1–2 h on passive SBs. The participants who spent > 1 h on mentally active SBs had a lower risk of depression (adjusted OR = 0.26, 95% CI = 0.06–0.71) than the participants who did not engage in mentally active SBs. Not all mentally active SBs were linked to depression. The participants who engaged in social SBs had a lower risk of depression (adjusted OR: 0.24, 95% CI: 0.06–0.66) than the participants who did not engage in social SBs. Conclusions Spending 2 h or more per day on passive SBs (watching TV) was associated with a high risk of depression among people aged 60 years and older in the Hebei Province of China. Mentally active SBs (predominantly social SBs) could reduce the risk of depression. Some participants with depression probably did not watch TV. These findings suggested that spending more time on social SBs (such as communicating with others and playing chess) rather than watching TV may have important public health implications for preventing and managing depression among older Chinese adults. Moreover, society should attend to the mental health of elderly adults who do not watch TV as they may be more prone to suffer from depressive symptoms.