Background With China's socio-economic development, the dietary structure of Chinese residents has gradually shifted from a traditional Eastern pattern characterized by high carbohydrate intake to a relatively high-fat Western dietary model, alongside a growing burden of chronic diseases. However, dietary changes may vary across different occupational groups. Objective To analyze the long-term trends in dietary energy and three major macronutrient intake among various occupational groups aged 18-59 years in nine provinces of China from 1989 to 2018, providing a scientific basis for developing occupation-specific dietary intervention strategies. Methods Based on 11 waves of data (1989–2018) from the China Health and Nutrition Survey (CHNS), 57458 employed individuals aged 18-59 years were selected as observation subjects after applying inclusion and exclusion criteria. Joinpoint regression was used to analyze temporal trends by calculating the annual percentage change (APC) and average annual percentage change (AAPC) with 95% confidence intervals. The analysis covered the energy supply ratio from the three major macronutrients and the proportion of the participants within the acceptable macronutrient distribution ranges (AMDR) for the total occupational population and specific occupational group. Results From 1989 to 2018, the dietary structure of the occupational population in the nine provinces gradually Westernized. The carbohydrate energy supply ratio showed a decreasing trend (AAPC=−0.77%, 95%CI: −1.00%, −0.55%, P<0.05), while the fat energy supply ratio increased (AAPC=1.42%, 95%CI: 1.07%, 1.77%, P<0.05). The protein energy supply ratio remained largely unchanged (AAPC=−0.19%, 95%CI: −0.08%, 0.46%, P>0.05), and the total energy intake declined (AAPC=−0.62%, 95%CI: −0.94%, −0.30%, P<0.05). Among the occupational groups studied, white-collar workers were the first to show characteristics of dietary Westernization. Using the AMDR as the criterion, their average fat energy supply ratio first exceeded the AMDR upper limit (30%) in 1993, and their average carbohydrate energy supply ratio first fell below the AMDR lower limit (50%) in 2006, both time points being earlier than other occupational groups. Agricultural workers lagged in this transition (their average fat energy supply ratio first reached ≥30% in 2011), but their rate of increase in the fat energy supply ratio was the fastest among all occupational groups (AAPC=1.59%, 95%CI: 0.90%, 2.30%, P<0.05; P for trend comparison between groups<0.05). The other three occupational groups (blue-collar workers, service workers, and others) generally fell between these two extremes. Taking the fat energy supply ratio as an example, their AAPCs of increase were 1.02% (95%CI: 0.73%, 1.32%, P<0.05) for blue-collar workers, 0.85% (95%CI: 0.61%, 1.09%, P<0.05) for service workers, and 0.88% (95%CI: 0.58%, 1.17%, P<0.05) for others. Conclusion From 1989 to 2018, the macronutrient structure of the occupational population aged 18-59 years in nine China provinces is gradually Westernized. The energy supply ratios of carbohydrates and proteins primarily face issues of potential inadequacy, while the fat energy supply ratio is excessively high. Furthermore, the patterns of change vary among different occupational groups. It is recommended to propose personalized dietary advice tailored to specific occupations.

Background With China's socioeconomic development, significant lifestyle changes have occurred among occupational groups, leading to alterations in cardiovascular metabolic risk factors. However, few studies have examined the secular trends of these risk factors in China's working population. Objective To analyze the trends in cardiovascular metabolic risk factors among the occupational population in nine provinces of China from 2009 to 2018, and to explore the associations between different occupational types and these risk factors, along with their clustering patterns, thereby providing evidence for targeted interventions. Methods This study utilized data from the China Health and Nutrition Survey (CHNS) in 2009, 2015, and 2018. The dataset covered 13274 employed individuals aged 18-59 years. Only participants with complete blood test results and physical measurement data were included in the final analysis. The average annual percentage change (AAPC) in the positive rates of risk factors was calculated using Joinpoint regression to analyze temporal trends. Multinomial logistic regression and binary logistic regression models were employed to examine the cross-sectional associations between occupational types (categorized as white-collar workers, agricultural workers, blue-collar workers, service workers, and others) and nine cardiovascular metabolic risk factors and their clustering (defined as having ≥2 risk factors) in 2018. Results A total of 8451 participants were included. From 2009 to 2018, significant increasing trends (AAPC>0, P<0.05) were observed for overweight, obesity, central obesity, borderline elevated triglycerides (TG), borderline elevated to elevated total cholesterol (TC), borderline elevated low-density lipoprotein cholesterol (LDL-C), elevated blood pressure and hypertension, diabetes. The most rapid increases were found for obesity (AAPC=6.07%, 95%CI: 3.42%, 8.88%), hypertension (AAPC=4.10%, 95%CI: 0.62%, 7.77%), and central obesity (AAPC=3.27%, 95%CI: 1.24%, 5.36%). The clustering rate of risk factors increased from 62.3% in 2009 to 73.2% in 2018 (AAPC=1.87%, 95%CI: 1.02%, 2.73%). The cross-sectional analysis in 2018, after adjusting for confounders, showed that compared with white-collar workers, blue-collar workers had a significantly lower risk of overweight (OR=0.67, 95%CI: 0.48, 0.95), central obesity (OR=0.65, 95%CI: 0.45, 0.92), and borderline high TG (OR=0.54, 95%CI: 0.35, 0.82). In contrast, agricultural workers had a higher risk of hypertension (OR=1.76, 95%CI: 1.14, 2.72). Conclusion Between 2009 and 2015, the burden of most cardiometabolic risk factors increases significantly among the Chinese occupational population, with the rate of increase slowing by 2018. Risks vary across occupational types, among which blue- collar workers report lower target outcomes. Targeted interventions focusing on the rapidly increasing risk factors and high-risk occupational groups are recommended.

To analyze the disease burden of hypertension in the elderly population from 1990 to 2021 and to predict future trends in China and globally, thereby providing insights for public health decision-making regarding older adults with hypertension in China.

ObjectiveTo investigate the pathogenic spectrum and epidemiological characteristics of diarrheal disease in Fengxian District of Shanghai, and to provide scientific basis for the prevention and control of diarrheal diseases. MethodsBasic information of the initial adult cases visited diarrheal disease surveillance sentinel hospital in Fengxian District, Shanghai, was collected from August 2013 to 2023, and fecal samples were collected at 1∶5 sampling intervals to isolate and identify 5 kinds of diarrheagenic Escherichia coli (DEC), Salmonella (SAL), Vibrio parahaemolyticus, Campylobacter, Vibrio cholerae, Shigella and Yersinia enterocolitica (YE). Simultaneously, nucleic acid detection was performed for 3 kinds of rotavirus, 2 kinds of norovirus, intestinal adenovirus, astrovirus and sapovirus. ResultsA total of 1 861 cases of newly diagnosed diarrheal disease were reported, with the peak in July to August. Additionally, 704 surveillance samples were detected, with a total positive detection rate of 50.57%. The detection rates of bacterial, viral and mixed infection were 25.14%, 21.02% and 4.40%, respectively. Among the pathogens detected, DEC accounted for the highest (17.61%, 124/704), followed by norovirus (16.48%, 116/704), rotavirus (6.39%, 45/704), SAL (5.97%, 42/704) and Campylobacter (3.84%, 27/704). DEC detected were mainly enteroaggregative Escherichia coli and enterotoxigenic Escherichia coli, with no detection of Vibrio cholerae, Shigella and YE. The highest total pathogen detection rate was observed from June to September, and the detection peaks of norovirus were from March to June and from October to December, whereas that of DEC was from June to October. The detection rate of rotavirus peaked from January to February, but which was not detected between 2020‒2023. The SAL positive rate peak was in September, whereas that of Campylobacter was from July to September. ConclusionThe main pathogens detected in Fengxian District from 2013‒2019 are DEC, norovirus, rotavirus, SAL and Campylobacter. Different pathogens have different detection peaks, with bacteria predominating in summer and viruses in winter and spring. Prevention and control measures should be carried out according to the epidemiological characteristics of different seasons.

Objective:To investigate the decay law of 177Lu-DOTA-TATE in the treatment of neuroendocrine tumors in patients with external radiation and the radiation dose to the surrounding persons. Methods:The radiation dose rate from patients to the surrounding environment after 177Lu-DOTA-TATE treatment was measured using a handheld radiation dosimeter at different times. The decay law of the radiation dose rate with time and distance was analyzed, and the radiation levels at different distances from the patients and the radiation dose of the patients to the surrounding persons were estimated. Results:The external radiation dose rate from the patients decayed exponentially with time rapidly in the early stage and gradually slowly in the later stage. The effective half-life was (1.41±0.25) h (0.9-1.8)h in the rapid decay stage and (40.18±6.0) h (32.7-54.73 h) in the slower decay stage. At 0 h after injection, the normalized mean radiation dose rates at 0.25, 0.5, 1, 2, and 3 m away from the patient were 41.7±6.3, 20.0±3.0, 7.2±3.8, 3.4±0.9, and 1.9±0.4 μSv·h -1·GBq -1, respectively. The radiation doses to doctors, nurses, physicists, and positioning technicians were 2.0, 10.24, 1.08, and 4.05 μSv/patient, respectively. Conclusions:The external radiation dose rate from patients receiving 177Lu-DOTA-TATE treatment rapidly decreases over time and distance. The radiation levels that patients may cause to the surrounding workers are within the allowable range of national standards. After discharge, patients should reduce close and long-term contact with the surrounding persons.

The clinical data, laboratory test, and gene mutations were collected from a family with pseudohypoaldosteronism type II(PHA2). The proband, aged 1 year and 7 months, presented with hyperkalemia(6.69 mmol/L; reference range 3.5-5.3 mmol/L), blood pressure of 110/68 mmHg(normal<106/61 mmHg, 1 mmHg=0.133 kPa), blood chloride of 111.5 mmol/L(reference 99-110 mmol/L), blood HCO 3- of 17.1 mmol/L(reference 22-29 mmol/L), estimated glomerular filtration rate of 128.5 mL·min -1·(1.73 m 2) -1[>90 mL·min -1·(1.73 m 2) -1], and blood renin concentration of 0.30 μIU/mL(reference 4.2-45.6 μIU/mL). The mother and maternal grandfather also exhibited normal renal function with hyperkalemia, hypertension, hyperchloremia, metabolic acidosis, and low renin. Genetic testing revealed a heterozygous missense mutation(c.1685A>G, p. E562G) in exon 7 of the no-lysine kinase 4(WNK4) gene. Treatment with hydrochlorothiazide was effective. Literature review comparing this E562G pedigree with other WNK4 variants suggested clinical heterogeneity of WNK4 mutations. For unexplained hyperkalemia, especially with concurrent hypertension, PHA2 should be considered early for genetic screening to prevent misdiagnosis or delayed diagnosis.

Objective:To explore the pathogenesis of flunarizine-induced parkinsonism from gut-brain axis perspective.Methods:Thirty male C57BL/6 mice were randomly divided into control group and flunarizine group ( n=15). Mice in the control group were given 0.1 mL 50% polyethylene glycol 400+50% saline by gavage once/d for 2 weeks, while mice in the flunarizine group were given 6 mg/mL flunarizine+50% polyethylene glycol 400+50% saline by gavage at a daily dose of 30 mg/kg for 2 weeks. Body mass was recorded 1, 3, 5, 7, 10 and 14 d after drug administration, and motor function was assessed by rotarod test 14 d after drug administration; 16s RNA sequencing was performed in the feces to observe the intestinal flora; intestinal transit function was detected by Evans blue by gavage; and then, the mice were sacrificed and homogenate or frozen sections (brain and intestinal tissues) were prepared; dopamine-ergic neuron expression was detected by Western blotting; RT-qPCR was applied to detect the expressions of inflammatory factors in the substantia nigra, and immunofluorescent staining was used to detect the expressions of ZO-1 and Claudin-5 in the intestinal epithelial tissues. Results:Compared with the control group, the flunarizine group had lower body mass ratio 1, 3, 5, 7, 10 and 14 d after drug administration (ratio to body mass before drug administration). Compared with the control group, the flunarizine group had significantly shortened residence time in rod rotating and lower rotational speed when falling ( P<0.05). Compared with the control group, the flunarizine group had decreased tyrosine hydroxylase protein in the substantia nigra without significant difference ( P>0.05). Compared with the control group, the flunarizine group had significantly increased interleukin-6 and tumor necrosis factor-α in the substantia nigra (1.00±0.00 vs. 2.79±0.83; 1.00±0.00 vs. 3.39±1.37), significantly lower intestinal Evans blue propulsion rate (80.67%±4.51% vs. 50.67%±6.03%), and statistically decreased ZO-1 and Claudin-5 expressions in the colonic epithelial tissues (27.01±1.41 vs. 16.32±2.83; 37.00±2.80 vs. 24.52±2.12, P<0.05). Totally, 576 microorganisms were noted in both control group and flunarizine group, 744 in the control group alone, and 634 in the flunarizine group alone. The intestinal flora β diversity indices in the 2 groups were significantly different based on weighted Unifrac-principle coordinates analysis (PCoA, PCoA1: 39.88%; PCoA2: 30.69%). Compared with the control group, the microbial colony structure of mice in flunarizine group was dominated by phylum thick-walled bacteria and phylum warty microbacteria, and by families Muribaculaceae, Lachnospiraceae and Akkermansiaceae. Compared with the control group, the flunarizine group had significantly decreased relative abundance of Ackermannia spp. and Lactobacillus spp. in the intestinal flora ( P<0.05). Conclusion:Flunarizine may contribute to the pathogenesis of DIP by causing structural disturbances in the intestinal flora and inducing neuroinflammation based on the gut-brain axis.

Objective:To establish the gastrointestinal cognition behavior index(GCBI) scale and conduct a preliminary clinical study, to provide a scientific tool for assessing gastrointestinal related cognition and behavior among Chinese residents.Methods:The initial GCBI scale was formed through literature review and experts′ evaluation. From January 1 to December 31, 2022, 323 healthy participants who received medical treatment or check-ups at the First People′s Hospital of Changzhou were selected by convenient sampling method for the initial GCBI scale. A total of 307 valid scales of GCBI were collected, and 98 of them were selected by convenient sampling method for the gastrointestinal quality of life index (GIQLI) scale test. A total of 50 participants of 307 were selected by random number table method for retesting the initial GCBI scale after 2 weeks. The principal component analysis was used for factor extraction to established the formal GCBI scale. From March 1 to May 31, 2023, at the First People′s Hospital of Changzhou, 40 patients with functional gastrointestinal disorder(FGID, FGID group) and 40 healthy individuals (healthy control group) were selected by convenient sampling method for formal GCBI scale test. Pearson correlation analysis and Cronbach′s α coefficient were used to evaluate the criterion validity and reliability of the scale. Rank-sum test was used to compare the total GCBI scale scores and factor scores between the FGID group and the healthy control group. Results:The results of principal component analysis showed that 2 factors and 7 items were finally extracted to establish the formal GCBI scale. The cumulative contribution rate of factor 1 and factor 2 was 84.30%, and the factor load values ranged from 0.721 to 0.913. Pearson correlation analysis showed that the total score of GCBI scale and each factor were negatively correlated with the total score and each factor of GIQLI scale (all P<0.001).The Cronbach′s α coefficient of the total GCBI scale, factor 1, and factor 2 were 0.90, 0.87, and 0.91, respectively. The test-retest reliability correlation coefficient r were 0.98, 0.97, and 0.99 (all P<0.001). The total score of GCBI scale, factor 1 and factor 2 scores of FGID group were all higher than those of the healthy control group(10.00(7.25, 13.25) vs. 2.00(0.25, 3.00), 5.00(3.25, 8.00) vs. 0.50(0, 2.00), 5.00(3.00, 6.00) vs. 0.50(0, 2.00)), and the differences were statistically significant( Z=7.42, 6.82 and 7.04, all P<0.001). Conclusion:The GCBI scale established in this study has good reliability and validity, and is suitable for evaluating the gastrointestinal-related cognition and behavior, and it is helpful for the diagnosis of FGID.

The incidence of the lower extremity venous disorder is high, which seriously affects the quality of life in patients. Endovascular strategy has become an important treatment for venous disease of the lower extremity. Intraoperative venography usually can not provide detailed information about intravenous or perivascular structures. In contrast, endovascular imaging such as intravascular ultrasound and optical coherence tomography can not only reduce the use of contrast agents, evaluate intravenous and perivascular structures, but also accurately measure the anatomic parameters and provide information for subsequent treatment. This article reviewed the relevant experience and summarized the mechanism, characteristics, and clinical applications of intravascular imaging.

Background Excessive intake of sugar-sweetened beverages (SSBs) is harmful to health. In recent decades, the consumption of SSBs by Chinese residents has increased rapidly, increasing the risk of death and burden of disease. Objective To analyze the knowledge level and influencing factors of SSBs for Chinese residents aged 18-64 years in 2021. Methods A multi-stage cluster random sampling approach was used to conduct a questionnaire survey among residents aged 18-64 years in 302 survey sites across the country in 2021, and 98567 valid questionnaires were obtained. Four questions are about SSBs among the questionnaire's 5 dimensions. Respondents who answered 3 or more questions correctly were considered to have a basic understanding of SSBs. Frequency and weighted proportion were used for description. With individual as level 1 and resident council (village council) as level 2, a two-level logistic regression model was applied to examine the influencing factors. A null model was used to determine whether the two-level logistic regression model was appropriate. Results The knowledge awareness rate of SSBs was 57.0% among the Chinese residents aged 18-64 years in 2021. The knowledge point with the lowest correct rate was "It is best to consume no more than 25 grams of added sugar per day" (22.6%), while the one with the highest correct rate was "Excessive intake of SSBs can increase the risk of obesity and diabetes" (81.1%). The results of the null model showed that SSBs knowledge level had a clustering effect at resident council (village council) level (t=25.00, P<0.0001), so a two-level model fit better than a one-level model. The results of the two-level logistic model revealed that residents who were female (OR=1.14, 95%CI: 1.11, 1.18) or working in medical and health (OR=1.36, 95%CI: 1.27, 1.45) and education institutions (OR=1.16, 95%CI: 1.07, 1.24) had a higher knowledge level compared to males or residents of other occupations. The knowledge level was lower among residents in central (OR=0.87, 95%CI: 0.77, 0.97) and western (OR=0.85, 95%CI: 0.75, 0.94) areas than in eastern areas. Those with chronic diseases (OR=0.81, 95%CI: 0.78, 0.84) and who did not know if they had a chronic disease (OR=0.75, 95%CI: 0.72, 0.78) had a lower knowledge level than those without chronic diseases. Compared with 18-24 years, the knowledge level was higher in ages 35-44 years (OR=1.07, 95%CI: 1.02, 1.12) and lower in ages 55-64 years (OR=0.92, 95%CI: 0.86, 0.97), and not different from the ages 25-34 years and 45-54 years. The knowledge level increased with the level of education, the trend was statistically significant (P＜0.001). Conclusion Only about half of Chinese adults aged 18-64 years had a basic understanding of SSBs in 2021. The awareness rate of added sugar intake was low in particular. The knowledge levels of male, central and western, or less educated populations were even lower. Awareness of the negative health outcomes of SSBs was high among the population.