Analysis of the association between dietary patterns and nonalcoholic fatty liver disease in a county in Guangxi.

BACKGROUND: This study aims to investigate the relationship between different dietary patterns and non-alcoholic fatty liver disease (NAFLD). METHODS: Residents over 30 years old in the ecological longevity cohort in Gongcheng Yao Autonomous County, Guangxi Province were the research objects selected from 2018 to 2019. Physical examination, baseline population survey, and food frequency questionnaire (FFQ) survey were conducted. Dietary patterns were analyzed by factor analysis. Influencing factors of NAFLD were analyzed by multiple logistic regression. RESULTS: NAFLD was diagnosed in 241 of 2664 participants based on ultrasonography, and the detection rate was 9.0%. Factor analysis yielded a total of three dietary patterns, namely, traditional Chinese, Western, and cereal-potato dietary patterns. Results of multivariate logistic regression analysis showed that after adjusting for confounding factors, participants in the highest quartile of the Western dietary pattern exhibited a higher prevalence of NAFLD (OR = 2.799; 95% CI: 1.620-4.837; p < 0.05) than participants in the lowest quartile. Participants in the highest quartile of the cereal-potato pattern exhibited a decreased risk of NAFLD compared with those in the lowest quartile (OR = 0.581; 95% CI: 0.371-0.910, p < 0.05). The traditional Chinese patterns did not show any association with the risk of NAFLD. CONCLUSIONS: The Western dietary pattern increases the risk of NAFLD, whereas the cereal-potato dietary pattern reduces the risk of NAFLD. It is important for the prevention and control of NAFLD to adhere to the cereal-potato dietary.

Neurotoxicity of microplastics: a CiteSpace-based review and emerging trends study.

Microplastics, as a currently emerging pollutant, are gaining increasing attention from researchers in various fields. The purpose of this study is to summarize research development on microplastics in the field of neurotoxicity using bibliometric tools and visualization methods and to identify current research hotspots. The Web of Science Core Collection (WoSCC) was searched under the topics of "microplastics" and "neurotoxicity." A total of 33 published articles were obtained by exclusion and analyzed using CiteSpace (V6.1.R2). It was found that microplastic neurotoxicity research is currently on the rise, with the most research results being published in China, the most collaboration occurring between Italy and other countries, and the least collaboration occurring between authors. The focus and hotspots of future research on the neurotoxicity of microplastics may revolve around "accumulation" and "integrated biomarker response." These findings demonstrate the trends and frontiers in the field of microplastic neurotoxicity research and provide valuable information for subsequent research directions and potential collaborations.

Adherence to dietary guide for elderly adults and health risks of older adults in ethnic minority areas in China: a cross-sectional study.

BACKGROUND: The impact of dietary guidelines on health in ethnic minority regions needs to be further explored because of multiple sociocultural factors. Therefore, this study was conducted to analyze the association between adherence to dietary guidelines and health risks in an elderly population in an ethnic minority region. METHODS: A cross-sectional survey was conducted among 836 older adults in ethnic minority areas. They were asked to describe their daily dietary intake levels through a semi-quantitative food frequency questionnaire. The closeness coefficient for each study subject was calculated by using the technique for order preference by similarity to an ideal solution (TOPSIS), which measures the adherence to Dietary Guide for Elderly Adults (DGEA). Regression models were used to analyze the association between adherence and health risks. RESULTS: The daily food of the elderly in this area comprised cereals and vegetables. They had low intake of milk, dairy products, and water and high intake of salt. The closeness coefficient for the total population was 0.51, and the adherence of this population to dietary guidelines for the elderly was low. In both the crude model and the models adjusted for covariates, the closeness coefficient was not significantly associated with clinical indicators and health outcomes (p > 0.05). CONCLUSIONS: No association was found between adherence to large sample-based dietary guidelines and clinical indicators or health outcomes in ethnic minority populations. The applicability of dietary guidelines to ethnic minority areas and whether they yield the expected health benefits require further study.

Correlation between urinary contents of some metals and fasting plasma glucose levels: A cross-sectional study in China.

Many metals are involved in the pathogenesis of diabetes, but most of existing studies focused on single metals. The study of mixtures represents real-life exposure scenarios and deserves attention. This study aimed to explore the potential relationship of urinary copper (Cu), zinc (Zn), arsenic (As), selenium (Se), and strontium (Sr) contents with fasting plasma glucose (FPG) levels in 2766 participants. The levels of metals in urine were determined by inductively coupled plasma-mass spectrometry. We used linear regression models and the Bayesian kernel machine regression (BKMR) to evaluate the association between metals and FPG levels. In the multiple metals linear regression, Zn (ß = 0.434), Se (ß = 0.172), and Sr (ß = -0.143) showed significant association with FPG levels (all P < 0.05). The BKMR model analysis showed that the results of single metal association were consistent with the multiple metals linear regression. The mixture of five metals had a positive over-all effect on FPG levels, and Zn (PIP = 1.000) contributed the most to the FPG levels. Cu and As were negatively correlated with FPG levels in women. The potential interaction effect between Cu and Sr was observed in participants aged ≥ 60 years old (Pinteraction = 0.035). In summary, our results suggested that multiple metals in urine are associated with FPG levels. Further studies are needed to confirm these findings and clarify the underlying mechanisms.

Association between oil tea intake and the risk of type 2 diabetes in adults: A cross-sectional study in Gongcheng, Guangxi, China.

BACKGROUND AND OBJECTIVES: The associations between oil tea and type 2 diabetes (T2D) have been little studied in the population. This study aimed to evaluate whether oil tea intake is related to the reduced risk of T2D in adults. METHODS AND STUDY DESIGN: A rural-based cross-sectional study was conducted in Gongcheng Yao Autonomous County, Guangxi, southern China (2018-2019), with a total of 3178 population included in the final analysis. A multivariable logistic regression model was used to analyze the associations between the intake frequency, daily intake of oil tea and the risk of T2D. We further compared the association differences between the daily intake of oil tea and the risk of diabetes under different dietary patterns, which were generated from food frequency intake data using principal factor analysis. RESULTS: The differences in the frequency and daily intake of oil tea in both groups (diabetes group and the non-diabetes group) were statistically significant (p<0.05). After adjusting for age, sex, smoking status, physical activity, body mass index (BMI), compared with non-oil tea drinkers, intake ≥3 times /d had an inverse association with T2D (OR=0.417; 95% CI: 0.205-0.848, p<0.05); while daily intake of more than 600 mL/d but less than 900 mL/d was significantly associated with reduced T2D risk (OR=0.492; 95% CI: 0.284-0.852, p=0.011). In the Chinese traditional dietary and the plant-based dietary model, compared with the non-oil tea drinkers, the fourth intake group had a lower risk of diabetes, with an OR (95%CI) value of 0.500 (0.291-0.854) and 0.505 (0.298-0.855), respectively, but no statistical significance (All p>0.05). CONCLUSIONS: Our study suggests that oil tea was associated with a reduced risk of T2D aged 30 years or older.

An analysis of spatiotemporal pattern for COIVD-19 in China based on space-time cube.

This study seeks to examine and analyze the spatial and temporal patterns of 2019 novel coronavirus disease (COVID-19) outbreaks and identify the spatiotemporal distribution characteristics and changing trends of cases. Hence, local outlier analysis and emerging spatiotemporal hot spot analysis were performed to analyze the spatiotemporal clustering pattern and cold/hot spot trends of COVID-19 cases based on space-time cube during the period from 23 January 2020 to 24 February 2020. The main findings are as follows: (1) The outbreak had spread rapidly throughout the country within a short time and the current totality incidence rate has decreased. (2) The spatiotemporal distribution of cases was uneven. In terms of the spatiotemporal clustering pattern, Wuhan and Shiyan city were the center as both cities had high-high clustering pattern with a surrounding unstable multiple-type pattern in partial areas of Henan, Anhui, Jiangxi, and Hunan provinces, and Chongqing city. Those regions are continuously in the hot spot on the spatiotemporal tendency. (3) The spatiotemporal analysis technology based on the space-time cube can analyze comprehensively the spatiotemporal pattern of epidemiological data and produce a visual output of the consequences, which can reflect intuitively the distribution and trend of data in space-time. Therefore, the Chinese government should strengthen the prevention and control efforts in a targeted manner to cope with a highly changeable situation.

Prevalence and influencing factors of hyperuricemia in middle-aged and older adults in the Yao minority area of China: a cross-sectional study.

Hyperuricemia (HUA) endangers human health, and its prevalence has increased rapidly in recent decades. The current study investigated HUA's prevalence and influencing factors in Gongcheng, southern China. A cross-sectional investigation was conducted; 2128 participants aged 30-93 years were included from 2018 to 2019. Univariate and multivariate logistic regression models were used to screen HUA variables. A Bayesian network model was constructed using the PC algorithm to evaluate the association between influencing factors and HUA. The prevalence of HUA was 15.6% (23.2% in men, 10.7% in women). After screening the variables using a logistic regression analysis model, fatty liver disease (FLD), dyslipidemia, abdominal obesity, creatinine (CREA), somatotype, bone mass, drinking, and physical activity level at work were included in the Bayesian network model. The model results showed that dyslipidemia, somatotype, CREA, and drinking were directly related to HUA. Bone mass and FLD were indirectly associated with HUA by affecting the somatotype. The prevalence of HUA in Gongcheng was high in China. The prevalence of HUA was related to somatotype, drinking, bone mass, physical activity level at work, and other metabolic diseases. A good diet and moderate exercise are recommended to maintain a healthy somatotype and reduce the prevalence rate of HUA.

ApoE gene polymorphisms and metals and their interactions with cognitive function.

OBJECTIVE: To analyze the relationship between plasma metal elements, ApoE gene polymorphisms and the interaction between the two and impaired cognitive function in elderly population. METHOD: A stratified sample was drawn according to the age of the study population, and 911 subjects were included. Baseline information and health indicators were obtained, and cognitive function status was assessed by health examination, a general questionnaire and Mini-Mental Status Examination. Plasma metal elements were measured, and SNP typing was performed. Binary logistic regression was used to analyze the factors influencing cognitive function status and the association between the SNP genetic pattern of the ApoE gene and cognitive function. RESULTS: The differences in gene frequencies and genotype frequencies of the ApoE rs7412 and rs7259620 genotype frequencies were statistically different between the cognitive impairment group and the control group (P < 0.05). statistically differences were found for the codominant model in rs7412-TT compared with the CC genotype (OR = 3.112 (1.159-8.359), P = 0.024) and rs7259620-AA compared with the GG genotype (OR = 1.588 (1.007-2.504), P = 0.047). Statistically differences were found in the recessive models rs7412-TT compared with (CC + CT) (OR = 2.979 (1.112-7.978), P = 0.030), rs7259620-AA compared with (GG + GA), and rs405509-GG compared with (TT + TG) (OR = 1.548(1.022-2.344), P = 0.039) all of which increased the risk of developing cognitive impairment. The differences in plasma Fe, Cu, and Rb concentrations between the case and control groups were significant (P < 0.05). The regression results showed that the plasma Cd concentrations in the Q1 range was a protective factor for cognitive function compared with Q4 (0.510 (0.291-0.892), P = 0.018). Furthermore, there was a multiplicative interaction between the codominant and recessive models for the Q2 concentrations of Cd and the rs7259620 loci, and the difference was significant, indicating increased risk of developing cognitive impairment (codominant model OR = 3.577 (1.496-8.555), P = 0.004, recessive model OR = 3.505 (1.479-8.307), P = 0.004). There was also a multiplicative interaction between Cd and the recessive model at the rs405509 loci, and the difference was significant, indicating increased risk of developing cognitive impairment (OR = 3.169 (1.400-7.175), P = 0.006). CONCLUSION: The ApoE rs7412, rs7259620 and rs405509 loci were associated with cognitive impairment in the elderly population, and there was an interaction between plasma metalloid Cd and the rs7259620 and rs405509 loci that increased the risk of cognitive impairment in the elderly population.

Association between barium exposed, CYP19A1 and central obesity: A cross-sectional study in rural China.

BACKGROUND: obesity is a major risk factor for many metabolic diseases such as diabetes and cardiometabolic diseases. This study aimed to evaluate the association of plasma and urinary barium concentrations, CYP19A1 gene polymorphisms, and their interaction with central obesity in a rural Chinese population. METHODS: restricted cubic spline model was used to explore the dose-response relationship between barium and the risk of developing central obesity and waist circumference; logistic regression model was used to assess the association between barium, CYP19A1 gene polymorphisms and their interaction with central obesity. RESULTS: the results of the restricted cubic spline model showed that plasma barium concentration was linearly associated with the risk of developing central obesity and non-linearly associated with waist circumference. Logistic regression analysis showed that participants with Q4 plasma barium concentration exhibited a higher risk of central obesity compared to participants with Q1 barium concentration; participants carrying the rs10046-AA gene exhibited a lower risk of central obesity than those carrying the rs10046-G(GG+GA) gene; participants carrying the rs10046-GA genotype showed 1.754 times higher risk of central obesity than those carrying rs10046-GG+AA genotype. There was a significant interaction between plasma barium and CYP19A1 gene polymorphism on central obesity. CONCLUSION: the development of central obesity was associated with plasma barium and CYP19A1.

Association of Dietary and Plasma Magnesium with Glycaemic Markers in a Chinese Population.

Certain metals play a role in the pathogenesis of diabetes. This study aimed to investigate the potential association of plasma magnesium (Mg) and dietary intake of Mg with glycaemic markers. A cross-sectional study was conducted on 2373 subjects in Guangxi, China. Dietary Mg was obtained through a food frequency questionnaire containing 109 common foods. Plasma Mg concentration was determined by inductively coupled plasma mass spectrometry. Multiple linear regression combined with multivariable restricted cubic spline (RCS) functions was applied to evaluate the association of plasma Mg and dietary Mg with haemoglobin A1c (HbA1c) and fasting plasma glucose (FPG). In linear regression, dietary Mg was significantly associated with FPG in the overall population (ß = - 0.087, P < 0.05) and in women (ß = - 0.098, P < 0.05). Plasma Mg was significantly associated with FPG in the overall population (ß = - 0.096, P < 0.05) and in men (ß = - 0.110, P < 0.05) and women (ß = - 0.088, P < 0.05). In the RCS model, no non-linear association was found between dietary and plasma Mg and HbA1c levels. Dietary and plasma Mg are significantly negatively associated with fasting glucose.

Sex-Specific Associations of Urinary Metals with Renal Function: a Cross-sectional Study in China.

BACKGROUND: Extensive studies have revealed the link between heavy metals and CKD. Compared to single meta-elements, mixture of metals reflect real-life metals exposure scenarios and are of interest. However, the mechanism of action of metal mixture on renal function is unclear. METHODS: This study aimed to explore the potential relationship between urinary arsenic (As), cadmium (Cd), lead (Pb), manganese (Mn), and chromium (Cr) contents with estimated glomerular filtration rate (eGFR) levels in 2775 participants. The levels of metals in urine were determined by inductively coupled plasma-mass spectrometry. We used linear regression models and the Bayesian kernel machine regression (BKMR) to evaluate the association between metals and eGFR levels. RESULTS: In linear regression analysis, urinary As (ß = 2.723, 95%CI: 0.29, 5.157) and Pb (ß = 3.081, 95%CI: 1.725, 4.438) were positively associated with eGFR in the total population. In the BKMR model, a mixture of the five metals had a positive joint effect on eGFR levels, while Pb (PIP = 0.996) contributed the most to eGFR levels. Pb was positively associated with eGFR levels in the total participants and women. As was positively correlated with eGFR levels in women. Pb and eGFR levels were positively correlated when the other metals were set at 25th, 50th, and 75th percentiles. CONCLUSIONS: To the best of our knowledge, all five metals mixed exposure was positively associated with eGFR. Pb showed more important effects than the other four metals in the mixture, especially in women.

Association of CYP19A1 Gene, Plasma Zinc, and Urinary Zinc with the Risk of Type 2 Diabetes Mellitus in a Chinese Population.

To explore the effects of CYP19A1 gene polymorphisms, plasma zinc, and urinary zinc levels and their interactions on type 2 diabetes mellitus (T2DM) in residents of Gongcheng County, Guangxi, China. The case-control study was used for the investing. The MassARRAY System was applied to genotype the CYP19A1 genes rs752760, rs10046, rs10459592, and rs700518 in 540 study subjects. Plasma and urinary zinc concentrations were measured by inductively coupled plasma mass spectrometry (ICP-MS). Conditional logistic regression showed that rs752760 and plasma zinc were associated with T2DM risks with ORs of 0.593 (95% CI: 0.371-0.948) and 0.563 (95% CI: 0.356-0.889), respectively. Unconditional logistic regression analysis showed an association between urinary zinc levels and the risk of T2DM as well, with an OR of 0.352 (95% CI: 0.212-0.585). The results of the multiplicative interaction model showed that the rs752760 T allele was associated with a significantly reduced risk of T2DM with moderate/low plasma zinc levels, with ORs of 0.340 (95% CI: 0.161-0.715) and 0.583 (95% CI: 0.346-0.981), respectively, and the rs752760 T allele was also associated with a significantly decreased risk of T2DM with moderate/low urinary zinc levels, with ORs of 0.358 (95% CI: 0.201-0.635) and 0.321 (95% CI: 0.183-0.562), respectively. CYP19A1 rs752760 T allele and moderate/low plasma/urinary zinc levels reduce the risk of T2DM.

Comparative plasma metabolomic analysis to identify biomarkers for lead-induced cognitive impairment.

BACKGROUND: Lead (Pb), an environmental neurotoxicant, is known to induce cognitive impairment. Neuroinflammation and oxidative stress in the brain tissue are common pathogenetic links to Pb-induced cognitive impairment. There are no existing biomarkers to evaluate Pb-reduced cognition. Plasma metabolites are the readout of the biological functions of the host, making it a potential biomarker for assessing heavy metal-induced cognitive impairment. METHODS: The present report aims to identify the plasma metabolite changes under conditions of high plasma Pb levels and low cognition. RESULTS: We conducted a comparative plasma metabolomic analysis on two groups of adults those with low plasma Pb level and high cognition vs. those with high plasma Pb level and low cognition and identified 20 dysregulated metabolites. In addition, we found a significant reduction in docosahexaenoic acid, glycoursodeoxycholic acid, and arachidonic acid, and significant induction of p-cresol sulfate and phenylacetyl-l-glutamine. Gene Ontology enrichment analysis highlighted the importance of these plasma metabolites in brain functions and neurodegenerative diseases such as Parkinson's disease. CONCLUSIONS: The findings of this report provide novel insights into the use of plasma metabolites to assess metal-induced cognitive impairment.

Associations Between Plasma Metals and Cognitive Function in People Aged 60 and Above.

The objective of the study was to explore the relationship between the plasma levels of 22 metals and cognition status in older adults aged 60 years and above. A cross-sectional survey was conducted between 2018 and 2019. Inductively coupled plasma mass spectrometry (ICP-MS) was used to detect the concentrations of metals, and a mini-mental state examination (MMSE) questionnaire was used to estimate the cognition status of the elderly. Based on the years of education and MMSE scores, the participants were separated into the normal and impaired cognition groups. Lasso regression, logistic regression, and restricted cubic spline models were used to explore the relationship between the metals and cognitive status. A total of 1667 subjects were included in the study, and 333 (19.97%) of the participants had impaired cognition. Then, 12 metals, including Al, Fe, Ni, Cu, As, Se, Rb, Sr, Mo, Cd, Sn, and Sb were selected by lasso regression. Before the multivariate adjustment, Al and Cu were associated with the risk of increasing cognitive impairment (OR = 1.756, 95% CI: 1.166-2.646, P = 0.007; OR = 1.519, 95% CI: 1.050-2.197, P = 0.026, respectively). By contrast, Rb was associated with a decrease in the risk of cognitive impairment (OR = 0.626, 95% CI: 0.427-0.918, P = 0.017), but Cd was significantly associated with an increase in this risk (OR = 1.456, 95% CI: 1.003-2.114, P = 0.048). After multivariate adjustment, only Al (OR = 1.533, 95% CI: 1.000-2.350, P = 0.050) maintained a borderline difference with the risk of cognitive impairment. A significant positive correlation was found between the risk of cognitive impairment and Al, Cu, and Cd, contrary to the negative correlation found with Rb.

Associations between multiple heavy metals exposure and glycated hemoglobin in a Chinese population.

BACKGROUND: Heavy metals may play an important role as environmental risk factors in diabetes mellitus. This study aimed to explore the association of HbA1c with As, Cd, Cu, Ni, Pb, and Zn in single-metal exposure and multi-metal co-exposure models. METHODS: A cross-sectional study involving 3472 participants was conducted. Plasma concentrations of heavy metals were determined by inductively coupled plasma mass spectrometry. We estimated the association of each metal with HbA1c by linear regression. Potential heterogeneities by sex, age, and smoking were investigated, and metal mixtures and interactions were assessed by the Bayesian kernel machine regression (BKMR). RESULTS: In linear regression, Cu (ß = 0.324, p < 0.05) and Ni (ß = -0.19, p < 0.05) showed significant association with HbA1c in all participants. In BKMR analyses, all exposure-response relationships were approximately linear. Cu was significantly and positively associated with HbA1c levels in overall participants, women, participants aged 60 years old and above, and nonsmokers. Ni was significantly and negatively associated with HbA1c levels in overall participants. We did not observe the overall effect of plasma metal mixtures on HbA1c or the interaction effect of the metals on HbA1c. CONCLUSION: Cu was positively correlated with HbA1c, whereas Ni was negatively correlated with HbA1c, when evaluated individually or in a metal mixture. Additional studies are necessary to confirm these correlations and to control for exposure to different metals in the general population.

Associations between Apolipoprotein E Gene Polymorphism, Diet and Dyslipidemia in a Yao Minority Area, China.

OBJECTIVE: This study aimed to assess the effects of Apolipoprotein E (APOE) gene polymorphisms, dietary nutrient intake, and their interactions on the prevalence of dyslipidemia in a Yao minority area, China. METHODS: rs429358, rs7412, rs7259620, and rs405509 of the APOE gene were genotyped in 1014 adults aged ≥30 years by using the MassArray system. Dietary nutrients intake data were ascertained from a 109-item food frequency questionnaire (FFQ). RESULTS: Multifactorial logistics regression analysis showed that dyslipidemia was associated with rs7412-CT/TT genotype (OR: 0.540, Bonferroni correction confidence interval: 0.336-0.869), high fat intake (OR: 1.644, 95% CI: 1.128-2.395), high saturated fatty acid (SFA) intake (OR: 1.668, 95% CI: 1.146-2.428), medium carbohydrate intake (OR: 0.634, 95% CI: 0.461-0.873) and high carbohydrate intake (OR: 0.591, 95% CI: 0.406-0.858). The results of logistics regression multiplication model showed that medium carbohydrate intake in the carriers of the rs7412 minor alleles was associated with a low risk of dyslipidemia (OR: 0.433, Bonferroni correction confidence interval: 0.199-0.941). CONCLUSIONS: Genetic variations at the rs7412, dietary fat, SFA, and carbohydrate intake and the interaction between APOE gene polymorphisms and carbohydrate intake are associated with dyslipidemia in Yao nationality people.

Prevalence of burnout in medical students in China: A meta-analysis of observational studies.

ABSTRACT: This meta-analysis aimed to estimate the prevalence of burnout among medical students in China.A systematic search from the following electronic databases: China National Knowledge Infrastructure, Wangfang database, VIP database, Chinese biomedical literature database, PubMed, Embase, Web of Science, and Google Scholar was independently conducted by 2 reviewers from inception to September 2019. The data were analyzed using stata software Version 11. Heterogeneity was assessed using I2 tests, and publication bias was evaluated using funnel plots and Egger's test. The source of heterogeneity among subgroups was determined by subgroup analysis of different parameters.A total of 48 articles with a sample size of 29,020 met the inclusion criteria. The aggregate prevalence of learning burnout was 45.9% (95% confidence interval [CI] = 38.1%-53.8%). The prevalence rate of high emotional exhaustion was 37.5% (95% CI: 21.4%-53.7%). The percentage was 44.0% (95% CI: 29.2%-58.8%) for low personal accomplishment. The prevalence rate was 36.0% (95% CI: 23.0%-48.9%) in depersonalization dimension. In the subgroup analysis by specialty, the prevalence of burnout was 30.3% (95% CI: 28.6%-32.0%) for clinical medicine and 43.8% (95% CI: 41.8%-45.8%) for other medical specialties. The total prevalence of burnout between men and women was 46.4% (95% CI: 44.8%-47.9%) and 46.6% (95% CI: 45.5%-47.6%), respectively. The prevalence of burnout with Rong Lian's scale was 43.7% (42.1%-45.2%), and that with the other scales was 51.4% (50.4%-52.4%). The prevalence rates were 62.9% (61.3%-64.6%), 58.7% (56.3%-61.1%), 46.5% (42.9%-50.2%), and 56.0% (51.6%-60.4%) from Grades 1 to 4, respectively. There was a statistically significant difference among the different grades (P = .000).Our findings suggest a high prevalence of burnout among medical students. Society, universities, and families should take appropriate measures and allot more care to prevent burnout among medical students.

Effects of Gene and Plasma Tau on Cognitive Impairment in Rural Chinese Population.

BACKGROUND: Sufficient attention was not paid to the effects of microtubule-associated protein tau (MAPT) and plasma tau protein on cognition. OBJECTIVE: A total of 3072 people in rural China were recruited. They were provided with questionnaires, and blood samples were obtained. METHODS: The MMSE score was used to divide the population into cognitive impairment group and control group. First, logistic regression analysis was used to explore the possible factors influencing cognitive function. Second, 1837 samples were selected for SNP detection through stratified sampling. Third, 288 samples were selected to test three plasma biomarkers (tau, phosphorylated tau, and Aß-42). RESULTS: For the MAPT rs242557, people with AG genotypes were 1.32 times more likely to develop cognitive impairment than those with AA genotypes, and people with GG genotypes were 1.47 times more likely to develop cognitive impairment than those with AG phenotypes. The plasma tau protein concentration was also increased in the population carrying G (P = 0.020). The plasma tau protein was negatively correlated with the MMSE score (P = 0.004). CONCLUSION: The mutation of MAPT rs242557 (A > G) increased the risk of cognitive impairment and the concentration of plasma tau protein.

Association between TFEB gene polymorphism, gene-environment interaction, and fatty liver disease: A case-control study in China.

BACKGROUND: Fatty liver disease (FLD) is a serious public health problem that is rapidly increasing. Evidence indicates that the transcription factor EB (TFEB) gene may be involved in the pathophysiology of FLD; however, whether TEFB polymorphism has an association with FLD remains unclear. OBJECTIVES: To explore the association among TFEB polymorphism, gene-environment interaction, and FLD and provide epidemiological evidence for clarifying the genetic factors of FLD. METHODS: This study is a case-control study. Sequenom MassARRAY was applied in genotyping. Logical regression was used to analyze the association between TFEB polymorphism and FLD, and the gene-environment interaction in FLD was evaluated by multiplication and additive interaction models. RESULTS: (1) The alleles and genotypes of each single nucleotide polymorphism and haplotypes of TFEB in the case and control groups were evenly distributed; no statistically substantial difference was observed. (2) Logistic regression analysis indicated that TFEB polymorphism is not remarkably associated with FLD. (3) In the multiplicative interaction model, rs1015149, rs1062966, rs11754668 and rs2273068 had remarkable interaction with the amount of cigarette smoking. Rs1062966 and rs11754668 also had a considerable interaction body mass index and alcohol intake, respectively. However, no remarkable additive interaction was observed. CONCLUSION: TFEB polymorphism is not directly associated with FLD susceptibility, but the risk can be changed through gene-environment interaction.

Effects of Oil Tea on Obesity and Dyslipidemia: A Cross-Sectional Study in China.

BACKGROUND: Animal experiments have found that oil tea reduces body weight and improves blood lipid levels. However, the effect of oil tea on human health has not been confirmed yet. This study aims to explore the relationship between oil tea consumption and obesity and dyslipidemia. METHODS: In a cross-sectional population study in Guangxi, China, a semi-quantitative questionnaire was used to investigate the oil tea consumed and food consumption frequency in adults aged 30 years and over. Anthropometric variables and serum biochemical indicators were measured. A total of 2001 adults were divided into five groups based on their non-consumption status and quartile of consumption (groups non-drink oil tea, Q1-Q4). RESULTS: The risk of abdominal obesity tended to decrease significantly with increasing consumption of oil tea (P for trend< 0.05) in the overall participants (Q3 group, OR = 0.545, 95% CI = 0.336-0.884; Q4 group, OR = 0.520, 95% CI = 0.311-0.871) and in women (Q2 group, OR = 0.502, 95% CI = 0.274-0.920; Q3 group, OR = 0.397, 95% CI = 0.213-0.740; Q4 group, OR = 0.421, 95% CI = 0.228-0.780). Oil tea consumption Q1, Q2, Q3 and Q4 group significantly reduced the risk of abnormal HDL-cholesterol (P < 0.05). Oil tea consumption Q2 group significantly increased the risk of abnormal LDL-cholesterol (OR = 2.600, 95% CI = 1.033-6.546) in women. Oil tea consumption Q1 (OR = 0.081, 95% CI =0.008-0.864) and Q3 (OR = 0.057, 95% CI = 0.004-0.913) groups significantly reduced the risk of abnormal HDL-cholesterol in women. CONCLUSION: Oil tea consumption may be associated with a low risk of abdominal obesity. High-dose oil tea consumption may be associated with a low risk of abnormal HDL-cholesterol. Prospective studies with large sample sizes would be required to further investigate this association.