Objective To investigate the need for and utilization of health services among six Zhiguo ethnic minority groups in Yunnan Province,aiming to provide further evidence for the improvement of healthcare.Methods Using stratified random sampling,1921 individuals from six Zhiguo ethnic minority groups,aged 15 and above,were investigated with a structured questionnaire between August and December 2022.A structured questionnaire was used to collect participants'information on health service needs and utilization.Results Am-ong the surveyed participants,the two-week prevalence rate was found to be 22.54%,while the prevalence rate of chronic diseases was 38.52%.Among the residents,the risk of two-week prevalence was higher for females(OR=1.564),individuals aged≥60 years(OR=1.727),and those who reported poorer health utility value(OR=5.277),while it was lower for residents of Keno(OR=0.470)and Lahu(OR=0.659)ethnicity,as well as those who reported higher EQ-VAS scores(OR=0.446/0.174).Meanwhile,residents aged≥45 years(OR=3.392/7.072)were at higher risk for chronic disease prevalence,while it was lower for Keno ethnicity(OR=0.409),unmarried individuals(OR=0.479),and those with higher education levels(OR=0.629/0.603),higher EQ-VAS scores(OR=0.208)P<0.05.Additionally,among the participants,the treat-ment rate for two-week illness was 14.32%,while the non-treatment rate stood at 36.49%.Furthermore,the one-year hospitalization rate was reported as 19.89%,with a corresponding rate of individuals who needed hospitalization but did not receive it being recorded at 15.86%.Among the residents,the likelihood of treatment for two-week illness was higher for females(OR=1.461)and residents aged≥45 years(OR=1.510/1.560),whereas it was lower for individuals with higher EQ-VAS scores(OR=0.445).The likelihood of hospitalization within one year was also higher for residents aged≥60 years(OR=2.029)and individuals of Nu(OR=1.599),Lisu(OR=1.688),and Keno(OR=1.968)ethnicity,whereas those with high EQ-VAS scores(OR=0.325)had a lower risk(P<0.05).Conclusion In Yunnan Province,the need for healthcare services among six Zhiguo ethnic minority groups in this study is relatively low;however,the high prevalence of chronic diseases raises concerns.The utilization of healthcare services appears to be relatively sufficient,but the utilization of outpatient services still needs to be improved.

Background Arsenic, cobalt, barium, and other individual metal exposure have been confirmed to be associated with the incidence of kidney stones. However, there are few studies on the association between mixed metal exposure and kidney stones, especially in occupational groups. Objective To investigate the association between mixed metal exposure and kidney stones in an occupational population from a metal smelting plant. Methods A questionnaire survey was conducted to collect sociodemographic characteristics, medical history, and lifestyle information of 1158 mixed metal-exposed workers in a metal smelting plant in Guangdong Province from July 2021 to January 2022. Midstream morning urine samples were collected from the workers, the concentrations of 18 metals including lithium, vanadium, chromium, manganese, cobalt, nickel, copper, zinc, arsenic, selenium, strontium, molybdenum, cadmium, cesium, barium, tungsten, titanium, and lead were measured by inductively coupled plasma mass spectrometry, and the urinary mercury levels were measured by cold atomic absorption spectroscopy. Based on predetermined inclusion criteria, a total of 919 mixed metal-exposed workers were included in the study, including 117 workers in the kidney stone group and 802 workers in the non-kidney stone group. With a detection rate of urinary metals greater than 80% as entry criterion, 16 eligible metals were finally included for further analysis. Parametric or non-parametric methods were used to compare the differences between continuous or categorical variables of the non-kidney stone group and the kidney stone group. Logistic regression models were constructed to explore the association between individual metal exposures and kidney stones. Weighted quantile sum (WQS) regression models were used to evaluate the association between mixed metal exposure and kidney stones, as well as the weights of each metal on kidney stones. Then Bayesian kernel machine regression (BKMR) models were used to explore the overall effect of mixed metal exposure on renal calculi and the potential interactions between metals. Results We found that there were significant differences in sex, age, length of service, and body mass Index (BMI) between the non-kidney stone group and the kidney stone group (P<0.05). The urinary concentrations of molybdenum and barium in the kidney stone group were higher than those in the non-kidney stone group, and the differences were statistically significant (P<0.05). The logistic regression models demonstrated that urinary cobalt, arsenic, molybdenum, and barium were positively correlated with the risk of kidney stones (P_trend<0.05). The WQS regression models showed that the mixed exposure to vanadium, cobalt, arsenic, molybdenum, and barium was positively associated with the risk of kidney stones (P<0.05). Among them, molybdenum, arsenic, and barium accounted for 0.391, 0.337, and 0.154, respectively. The BKMR results revealed a positive association between metal mixture exposure and the risk of kidney stones (P<0.05). When other metals were fixed at the 25th, 50th, or 75th percentile, arsenic, molybdenum, cobalt, and barium exhibited significant positive effects on the risk of kidney stones (P<0.05), while vanadium showed a significant negative effect (P<0.05). The interaction analysis demonstrated interactions between barium and cobalt, as well as between vanadium and cobalt (P<0.05). Conclusion In the occupational population of this smelter, occupational mixed metal exposure could increase the risk of kidney stones, and the main metals are molybdenum, arsenic, barium, and cobalt.

Objective To investigate the epidemiological characteristics and spatial distribution characteristics of Clonorchis sinensis human infections in Guangdong Province from 2016 to 2022, so as to provide insights into formulation of the clonorchiasis control measures in the province. Methods Xinhui District of Jiangmen City, Longmen County of Huizhou City and Wengyuan County of Shaoguan City in Guangdong Province were selected as fixed surveillance sites for human clonorchiasis from 2016 to 2022, and additional 10% to 15% counties (districts) endemic for clonorchiasis were sampled from Guangdong Province as mobile surveillance sites each year from 2016 to 2022. A village (community) was randomly selected from each surveillance site according to the geographical orientations of east, west, south, north and middle, and subjects were randomly sampled from each village (community). C. sinensis eggs were detected in subjects’ stool samples using the Kato-Katz technique, and the prevalence and intensity of C. sinensis infections were calculated. In addition, subjects’ gender, age, ethnicity, educational level and occupation were collected. The Guangdong Provincial 1:1 million electronic map in vector format was downloaded from the National Geomatics Center of China, and kernel density analysis and spatial autocorrelation analysis of C. sinensis human infections in Guangdong Province from 2016 to 2022 were performed using the software ArcGIS 10.7. Results A total of 153 188 residents were tested for C. sinensis infections in Guangdong Province from 2016 to 2022, including 75 596 men (49.35%) and 77 592 women (50.65%), and there were 5 369 residents infected with C. sinensis, with 3.50% overall prevalence of infections. The prevalence rates of severe, moderate and mild C. sinensis infections were 0.76%, 7.26% and 91.97% among C. sinensis-infected residents in Guangdong Province from 2016 to 2022, and there were age-, gender-, ethnicity-, occupation- and educational level-specific prevalence of C. sinensis human infections (χ² = 2 578.31, 637.33, 52.22, 2 893.28 and 1 139.33, all P values < 0.05). Global spatial autocorrelation analysis showed a cluster in the prevalence of C. sinensis human infections in Guangdong Province (Moran’s I = 0.63, Z = 27.31, P < 0.05). Kernel density analysis showed that the prevalence of C. sinensis human infections with a high kernel density in Guangdong Province was mainly distributed along the Zhujiang River basin in Pearl River Delta areas, followed by in eastern and northern Guangdong Province. In addition, local spatial autocorrelation analysis identified 73 high-high clusters of the prevalence of C. sinensis human infections in Guangdong Province. Conclusions The prevalence of C. sinensis human infections was high in Guangdong Province from 2016 to 2022, and mild infection was predominant among all clonorchiasis cases, with spatial clusters identified in the prevalence of C. sinensis human infections. Targeted clonorchiasis control measures are required among high-risk populations and areas.

Objective To explore the effectiveness of a nutritional intervention in rescuers who screened positive for depression. Methods A randomized controlled trial design was employed.From June to August,2022,4,460 rescuers were screened using the Self-Rating Depression Scale(SDS),and 1,615 positive cases were identified.Thirty-one volunteers were recruited and randomly divided into a nutritional intervention group and a control group.The intervention group received health education and nutritional intervention(a compound paste therapy primarily composed of red roses and Seville orange flowers),while the control group received psychological education.SDS scores were assessed before and after the intervention. Results There was a statistically significant decline in SDS scores in the nutritional intervention group after the intervention(P<0.05).Furthermore,the SDS scores of the intervention group were significantly lower than those of the control group,both before and after the intervention(P<0.05).No severe adverse reactions were observed during safety evaluation. Conclusion The nutritional intervention effectively reduced the depression scores in rescuers.Early nutritional intervention is recommended for rescuers who initially screen positive for depression.

Severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is the main pathogen that causes COVID-19,which is fast-mutating and highly transmissible.The infection has led to a global epidemic.As the main preventive and control measure,vaccination plays a critical role in fighting a-gainst COVID-19.Although a large number of epitope-based and mucosal vaccines have been stud-ied,few peptide epitope vaccines targeting the mucosa and their functional evaluation have been re-ported.In this study,we used SARS-CoV-2 structural protein M peptide epitope predicted by the IEDB database as an antigenic target to design the MS-3S gene containing 3 050 and 1 229 signal peptides and DCpep optimized for insertion into MS2 phage coat proteins.The expression plasmid pSIP:MS-3S was constructed by cloning the PCR fragments seamlessly and was transformed into Lactiplantibacillus plantarum 18 to obtain the recombinant bacterium LP18:MS-3S.Expression conditions such as induction time,inducer concentration,rotational speed and initial pH were opti-mized.The intranasal immunization experiments were performed to examine the vaccine efficacy.The results showed that the 916 bp-long target gene MS-3S modified and optimized was amplified and used to successfully construct the recombinant bacterial strain LP18:MS-3S.The optimal con-ditions for recombinant protein expression were obtained and verified by Western blot,flow cy-tometry,immunofluorescence and other detection methods.The optimal expression conditions were determined as follows:induction time was 4 h with 100 pg/L of SppIP as the optimal induction concentration.Antibody-specific for the epitope was verified by ELISA experiments in serum,alve-olar lavage fluid and fecal dilutions of mice.In summary,a recombinant bacterial strain expressing the epitope antigen of the SARS-CoV-2 M protein peptide was constructed.The obtained protein can induce the body to produce humoral and mucosal immunity,which lays the foundation for the development of a vaccine candidate for the mucosal immunity of COVID-19.

Background Occupational exposure to lead, cadmium, or arsenic is a potential risk factor for blood pressure elevation. Current studies mainly focus on the relationship between a single metal and blood pressure. However, mixed metal exposure often exists in the actual working environment, and the interactive effects of polymetallic interactions on blood pressure and the dose-effect relationship remain unclear yet. Objective To explore the influence proportion of occupational exposure to lead, cadmium, or arsenic on blood pressure and their interactive effects. Methods From January to December 2021, workers from a smelter in southern China were selected. Demographic characteristics, height, weight, and blood pressure of workers were collected through questionnaire and physical examination. At the same time, their urine samples were collected and the levels of urinary lead, urinary cadmium, and urinary arsenic were detected by inductively coupled plasma mass spectrometry, and corrected by urinary creatinine (Cr). Linear regression and logistic regression were used to analyze the relationship between urinary lead, cadmium, and arsenic and blood pressure. Weighted quantile sum (WQS) regression was applied to evaluate the dose-effect relationship between urinary lead, cadmium, and arsenic exposures and blood pressure and the effect weight of each metal on blood pressure. Generalized linear regression and additive/multiplicative scaling were used to identify interactive effects of the three metals on blood pressure. Results A total of 1075 workers were included in this study, with a mean age of (44.68±5.11) years and mean working seniority of (24.66±5.23) years. There were 891 males (88.9%) and 184 were females (17.1%); 24.7% workers were drinkers and 45.7% workers were smokers; 302 workers (28.1%) reported hypertension and 37 of them were taking antihypertensive drugs. The P₅₀ (P₂₅, P₇₅) levels of urinary lead, urinary cadmium, and urinary arsenic were 6.11 (3.71, 11.08), 3.88 (2.68, 5.44), and 26.04 (19.99, 35.11) μg·g⁻¹, respectively. After adjusting for gender, age, working seniority, body mass index, smoking, drinking, and the usage of antihypertensive drugs, systolic and diastolic blood pressure increased by 0.772 and 0.418 mmHg respectively for 10% increase in lead, cadmium, and arsenic mixed exposure. Urinary cadmium, among the three single exposures, had the greatest effect on systolic and diastolic blood pressure, weight (w)=0.523 and 0.551 respectively. The interaction of urinary lead and urinary cadmium was positively correlated with the occurrence of hypertension, multiplicative interaction OR (OR_int)=1.88 (95%CI: 1.09, 3.63), attributable proportion due to interaction (AP)=1.19 (95%CI: 0.40, 8.18). Conclusion This study shows that mixed exposure to lead, cadmium, and arsenic has a positive relationship with blood pressure, in which cadmium plays a major role. Co-exposure to lead and cadmium has a positive interactive effect on hypertension development and systolic blood pressure elevation.

Objective: To investigate the effect of combined exposure to four heavy metals (lead, cadmium, arsenic, mercury) on early kidney injury in occupational population. Methods: A total of 384 workers exposed to combined heavy metals in a non-ferrous metal smelting plant in Guangdong Province were selected as the research subjects using judgment sampling method. The levels of blood lead, urinary cadmium and urinary arsenic were detacted by inductively coupled plasma mass spectrometry, while urinary mercury levels were measured using cold atomic absorption spectroscopy (acidic tin chloride reduction method). The levels of biomarkers such as urinary β₂-microglobulin (β₂-MG), kidney injury molecule-1 (Kim-1) and neutrophil gelatinase-associated lipocalin (NGAL) were detected by enzyme-linked immunosorbent assay. Spearman correlation analysis, linear regression, weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) models were used to analyze the association between the exposure to the four heavy metals and early kidney injury biomarkers. Results: The median of blood lead, urinary cadmium, urinary arsenic and urinary mercury were 0.47 μmol/L and 4.450, 27.790 and 0.520 μg/gCr, respectively. The median of urinary β₂-MG, Kim-1 and NGAL were 62.960, 1.130 and 18.150 μg/gCr, respectively. Spearman correlation analysis showed that urinary levels of β₂-MG, Kim-1, and NGAL were weakly correlated with blood lead and urinary mercury levels (all P<0.01), but not correlated with urinary cadmium and urinary arsenic (all P>0.05). The results of multiple linear regression analysis showed that urinary mercury was positively correlated with urinary β₂-MG, Kim-1 and NGAL (all P<0.01), urinary arsenic was positively correlated with urinary β₂-MG level (P<0.01), and blood lead was negatively correlated with urinary β₂-MG and Kim-1 (all P<0.05). The WQS regression analysis showed that the combined effect of the four heavy metals was positively correlated with urinary β₂-MG, Kim-1 and NGAL (all P<0.01), with mercury having the highest impact and lead the lowest. BKMR model analysis showed the increasing trend in urinary β₂-MG, Kim-1 and NGAL with the increasing levels of the combined exposure to the four heavy metals. Urinary β₂-MG, Kim-1 and NGAL decreased when urinary mercury level increased from the 25th percentile to the 75th percentile and the other metals were correspondingly fixed at a certain level. When the blood exposure levels of other metals remained at the corresponding median levels, urinary β₂-MG, Kim-1 and NGAL levels were positively correlated with urinary arsenic level, but no significant linear dose-response relationship was observed with the other three heavy metals. Conclusion: sLead, arsenic, and mercury are independently associated with early kidney injury biomarkers in occupational population from non-ferrous metal smelting. The four heavy metals had positive combined effects on urinary β₂-MG, Kim-1 and NGAL, with mercury having the greatest impact.

Objective:To investigate the relationship between the cardia morphology under magnetically controlled capsule gastroscopy and the clinical characteristics of subjects.Methods:A total of 216 subjects with gastrointestinal symptoms or receiving physical examination who underwent magnetically controlled capsule gastroscopy at the Department of Gastroenterology, Beijing Chao-Yang Hospital, Capital Medical University from August 2022 to November 2022 were enrolled. All subjects took gastroesophageal reflux disease questionnaire (Gerd-Q) survey. Clinical data of subjects were collected, and images of cardia morphology under magnetically controlled capsule gastroscopy were recorded. The subjects were divided into 4 groups according to differrent cardia morphology based on the degree of relaxation. The clinical characteristics of each group were compared, and the influencing factors for cardia morphology were analyzed.Results:In non-swallowing state, 116 subjects showed good continuous closure of the cardia in plum shape (group A), 33 subjects radial closure of cardia (group B), 46 subjects slightly relaxed linear cardia (group C) and 21 subjects relaxed and continuous opening of cardia in the shape of cave (group D). The ages of subjects in group A, B, C and D were 35.00 (31.00, 42.00) years, 53.00 (37.50, 60.50) years, 61.50 (41.50, 68.25) years and 52.00 (39.00, 70.00) years, respectively, with significant differences ( H=44.348, P<0.001). The Gerd-Q scores of subjects in group A, B, C and D were 1.50 (1.00, 2.00), 3.00 (2.00, 6.50), 8.00 (5.75, 9.00) and 8.00 (7.50, 9.00), respectively, with significant differences ( H=90.788, P<0.001). The body mass index (BMI) of subjects in group A, B, C and D were 22.66 (19.53, 24.70) kg/m 2, 23.44 (21.41, 27.05) kg/m 2, 23.77 (21.19, 26.93) kg/m 2 and 23.73 (19.63,24.79) kg/m 2, respectively, with significant differences ( H=8.114, P=0.044). The degree of cardia relaxation was positively correlated with the age ( rs=0.456, P<0.001), Gerd-Q score ( rs=0.648, P<0.001) and BMI ( rs=0.146, P=0.032) of subjects. Conclusion:The magnetically controlled capsule gastroscopy provides good visualisation of cardia morphology in non-swallowing state. There is a positive correlation between the degree of cardia relaxation under magnetically controlled capsule gastroscopy in non-swallowing state and the subjects' age, Gerd-Q score, and BMI.

Objective:To assess the predictive performance of the risk of cardiovascular diseases (CVD) derived from the China Kadoorie Biobank (CKB-CVD) model, prediction for atherosclerotic cardiovascular disease (ASCVD) risk in China (China-PAR) model, and the risk of fatal and nonfatal ischemic cardiovascular diseases derived from the USA-People′s Republic of China Collaborative Study (USA-PRC) model in Chinese Multi-provincial Cohort Study (CMCS).Methods:In this prospective cohort study, a total of 21 948 individuals aged ≥35 years without CVD were selected from 8 provinces and cities in China during the CMCS survey from 1992 to 2005 for 10-year follow-up. The occurrence of CVD or ASCVD events during the follow-up period was used as the gold standard. The CKB-CVD and China-PAR models were used to calculate the predicted risk of CVD events, while the USA-PRC model was used to calculate the predicted risk of ASCVD events. The discrimination of the models was evaluated using the C-statistic, and the calibration was assessed using the Hosmer-Lemeshow χ2 test and decile plot. Results:During the 10-year follow-up, a total of 955 (4.4%) CVD events, including 791 (3.6%) ASCVD events, were recorded among the study participants. The C-index for the CKB-CVD, China-PAR, and USA-PRC models were 0.775 (95% CI: 0.757-0.793), 0.781 (95% CI: 0.763-0.798), and 0.769 (95% CI: 0.750-0.789) for men, and 0.762 (95% CI: 0.737-0.788), 0.769 (95% CI: 0.745-0.794), and 0.767 (95% CI: 0.741-0.794) for women, respectively. China-PAR model showed good calibration for men ( χ2=2.20), however, both CKB-CVD and USA-PRC models demonstrated poor calibration in both men and women ( χ2>20). The results indicated that the CKB-CVD model overestimated the risk of CVD events in both males and females, while the China-PAR model underestimated the risk in females. Furthermore, the USA-PRC model underestimated the risk of ASCVD in both males and females in most decile groups, but overestimated the risk in the highest decile group. Conclusion:The CKB-CVD, China-PAR, and USA-PRC risk assessment models show some degree of deviation from the actual risk of events in the CMCS cohort, but all exhibit good discrimination.

To analyze the methodological and reporting quality of systematic reviews of prediction models published in Chinese journals, with the aim of providing reference for enhancing the overall quality of Chinese systematic reviews of prediction models.