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.

Background The global prevalence of obesity is on the rise and is closely associated with various chronic non-communicable diseases such as cardiovascular diseases and diabetes. There is a relative lack of long-term dynamic studies on compound obesity among occupational populations. Objective To explore the changing trends of compound obesity among different occupational groups aged 18–59 years in nine provinces (autonomous regions, municipalities) of China from 1993 to 2018, and to provide a scientific basis for formulating targeted weight management strategies for occupational populations. Methods A total of 34519 employed adults aged 18–59 years from nine waves of the China Health and Nutrition Survey in1993, 1997, 2000, 2004, 2006, 2009, 2011, 2015, and 2018 were included. Obesity types were determined according to the Chinese Adult Weight Management Guidelines. The Joinpoint regression model was used to calculate the average annual percentage change (AAPC) and annual percentage change (APC) of compound obesity rates. Results From 1993 to 2018, the age-standardized compound obesity rate among the occupational population aged 18–59 years showed an upward trend (AAPC=6.24%, 95%CI: 5.09%, 7.41%, P<0.05). The AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 9.55% (7.51%, 11.64%), 6.18% (4.70%, 7.69%), 5.53% (2.27%, 8.90%), 4.07% (2.40%, 5.77%), and 3.89% (2.16%, 5.65%), respectively, with statistically significant differences (P<0.05). Among males, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, other occupational groups, service workers, and white-collar workers were 11.52% (7.71%, 15.47%), 7.28% (6.18%, 8.40%), 5.92% (2.28%, 9.69%), 5.56% (2.11%, 9.12%), and 4.22% (2.33%, 6.15%), respectively, with statistically significant differences (P<0.05). Among females, the AAPCs (95%CI) for age-standardized compound obesity rates among agricultural workers, blue-collar workers, and white-collar workers were 7.45% (6.22%, 8.69%), 3.72% (0.84%, 6.67%), and 2.41% (0.17%, 4.70%), respectively, with statistically significant differences (P<0.05). A turning point was observed in the compound obesity rate among female white-collar workers in 2006, with an APC (95%CI) of 9.69% (5.24%, 14.33%) from 2006 to 2008, showing a statistically significant difference (P<0.05), while no significant trend was found from 1993 to 2006 (P>0.05). No significant trends were observed in the age-standardized compound obesity rates among females in other occupational groups and service workers (P>0.05). Conclusion The compound obesity rate among China's occupational population is increasing rapidly, with the growth rate among agricultural workers being particularly prominent. In 2018, male white-collar workers and female agricultural workers exhibit relatively high compound obesity rates, warranting focused attention. Although the overall growth rate among service workers is slower, the expanding workforce in this sector indicates that obesity remains a serious issue. Targeted occupational health and weight management interventions are needed in the future.

Background With rising obesity rates and earlier hypertension onset among occupational populations, there is an urgent need to elucidate the long-term cardiovascular impacts of dynamic body weight patterns. Current evidence lacks trajectory modeling studies examining occupation-specific prevention strategies. Objective To investigate the association between long-term body mass index (BMI) trajectories and incident hypertension risk in Chinese working adults, and to examine occupation-specific heterogeneity in this relationship. Methods A dynamic sub-cohort of 4 413 occupational participants was constructed from ten survey waves (1991–2018) of the China Health and Nutrition Survey (CHNS). Eligible individuals had valid key BMI records at three or more independent follow-ups before the outcome event; the individual baseline was set as the year of their first participation in the survey. Group-based trajectory modeling (GBTM) was used to identify BMI change patterns. Cox proportional hazards regression was used to calculate hazard ratios (HRs) and 95% confidence interval (CI) for hypertension incidence across trajectory groups, with stratified analysis by occupational categories. Results Among 4413 occupational participants, 1441 incident hypertension cases were reported during the follow-up window. Three long-term BMI trajectories were identified: low-stable, moderate-slowly rising, and high-rising. In Model 3 with all selected confounders adjusted, compared with the low-stable group, the moderate-slowly rising group showed a significantly higher risk of incident hypertension (HR=1.28, 95%CI: 1.12, 1.45; P < 0.001), as did the high-increasing group (HR=1.80, 95%CI: 1.45, 2.23; P < 0.001). The stratified analyses revealed occupational differences in the association. Among agricultural workers, the moderate-slowly rising group (HR=1.35, 95%CI: 1.15, 1.57) and the high-rising group (HR=2.00, 95%CI: 1.50, 2.66) both exhibited significantly increased risks of hypertension (P<0.001). Conversely, among white-collar workers, an increased risk of hypertension was observed only in the high-rising group (HR=1.97, 95%CI: 1.23, 3.17; P<0.05). Conclusion Rapid BMI escalation constitutes a significant risk factor for incident hypertension in occupational populations. Targeted long-term weight monitoring and tailored interventions are recommended for high-risk occupations.

AIM: To investigate the impacts of periocular injection of triamcinolone acetonide on healing effect and inflammatory factor in patients with acute iridocyclitis.METHODS:Totally 90 patients(90 eyes)with acute iridocyclitis, admitted to our hospital between September 2018 and September 2023, were grouped via random number table, including a triamcinolone acetonide group and a control group, each comprising 45 patients(45 eyes). The control group underwent conventional treatment, whereas the triamcinolone acetonide group adopted triamcinolone acetonide through periocular injection. The healing effect, levels of inflammatory cytokines, anterior chamber inflammatory cell scores, keratic precipitates(KP)scores, best-corrected visual acuity(BCVA), untoward reactions, and relapse rates of the two groups of patients were compared.RESULTS:The triamcinolone acetonide group had significantly higher overall efficacy rate than the control group(P<0.05). The levels of tumor necrosis factor-α(TNF-α), interleukin-6(IL-6), and interferon-γ(IFN-γ)decreased in both groups at 30 d after treatment, and the levels in the triamcinolone acetonide group were lower(all P<0.05). After treatment for 30 d, the scores of anterior chamber inflammatory cells and KP in both groups decreased, and the scores in the triamcinolone acetonide group were lower than those in the control group(all P<0.05); the BCVA of both groups improved, and the triamcinolone acetonide group had a better BCVA(all P<0.05). There was no statistically significant difference in untoward reactions between the two groups(P=1.000). The relapse rate of the triamcinolone acetonide group was lower than that of the control group(P=0.030).CONCLUSION: Periocular injection of triamcinolone acetonide has obvious healing effects on patients with acute iridocyclitis, and it can alleviate the inflammatory state of patients and reduce the relapse rate of inflammation.

OBJECTIVE: To observe the clinical efficacy of warming acupuncture combined with western medication for oligoasthenoteratozoospermia of kidney-yang insufficiency and its effects on the levels of interleukin (IL)-6 and IL-10 in seminal plasma. METHODS: A total of 60 patients with oligoasthenoteratozoospermia of kidney-yang insufficiency were randomly divided into a combination group and a medication group, with 30 cases in each group. The medication group was treated with levocarnitine oral solution orally, 10 mL once, 3 times a day. On the basis of the treatment in the medication group, warming acupuncture was applied at Baihui (GV20), Guanyuan (CV4) and Mingmen (GV4) in the combination group, once every other day, 3 times a week. Both groups were treated for 12 weeks. Before and after treatment, the TCM syndrome score was observed, the semen routine indexes (the sperm concentration, progressive [PR] sperm motility, PR + non-progressive [NP] sperm motility and sperm malformation rate), the serum sex hormones indexes (follicle-stimulating hormone [FSH], luteinizing hormone [LH], testosterone [T] and estradiol [E₂]), as well as the IL-6 and IL-10 levels in seminal plasma were detected, and the clinical efficacy was evaluated after treatment in the two groups. RESULTS: After treatment, except for the hyposexuality score in the medication group, the each item scores and total scores of TCM syndrome were decreased compared with those before treatment (P<0.01, P<0.05), the sperm malformation rates, serum FSH and LH levels, IL-6 levels in the seminal plasma were decreased compared with those before treatment (P<0.01, P<0.05), the PR sperm motility, PR + NP sperm motility, serum T levels, IL-10 levels in the seminal plasma were increased compared with those before treatment (P<0.01, P<0.05) in the two groups; the sperm concentration was increased compared with that before treatment in the combination group (P<0.01). After treatment, compared with the medication group, except for the hyposexuality and frequent nocturia scores, the each item scores and total score of TCM syndrome were lower (P<0.01, P<0.05); the sperm concentration, PR sperm motility and PR + NP sperm motility, serum T level, IL-10 level in the seminal plasma were higher (P<0.01, P<0.05); sperm malformation rate, serum FSH and LH levels, IL-6 level in the seminal plasma were lower (P<0.01, P<0.05) in the combination group. The total effective rate was 83.8% (25/30) in the combination group, which was superior to 60.0% (18/30) in the medication group (P<0.05). CONCLUSION Warming acupuncture combined with western medication can effectively treat oligoasthenoteratozoospermia of kidney-yang insufficiency, regulate the levels of sex hormones, and its mechanism may be related to the down-regulation of IL-6 level and the up-regulation of IL-10 level in seminal plasma.
Humans ; Male ; Interleukin-10/genetics* ; Interleukin-6/genetics* ; Adult ; Semen/metabolism* ; Acupuncture Therapy ; Oligospermia/drug therapy* ; Yang Deficiency/physiopathology* ; Kidney/physiopathology* ; Young Adult ; Asthenozoospermia/drug therapy* ; Combined Modality Therapy ; Treatment Outcome

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Background Multimorbidity imposes a heavy burden on individuals, families, and society. There are relatively few studies exploring patterns of multimorbidity among middle-aged adults in China. Objective To explore the current status of multimorbidity, associated risk factors, and multimorbidity patterns among adults aged 45-64 years in China, so as to provide a scientific basis to prevent and control multimorbidity in China. Methods A total of 5494 adults aged 45-64 years from the Chinese Health and Nutrition Survey (CHNS) in 2018 were selected. Of these, 2494 (45.39%) were men and 3000 (54.61%) were women. The nine diseases included were hypertension, diabetes, dyslipidaemia, obesity, mild cognitive impairment (MCI), myocardial infarction, stroke, asthma, and tumor. The prevalence of each disease or multimorbidity was expressed as N (%). Comparisons of multimorbidity prevalence between different groups were performed using the χ² test or Cochran-Armitage trend test. Association rule with the Apriori algorithm was used to explore the pattern of multimorbidity, with parameters set at a minimum conditional support of 3.00%, a minimum rule confidence of 50.00%, and a lift of >1.20. Logistic regression was used to evaluate the associations between selected risk factors and multimorbidity. Results In 2018, 37.44% of participants reported multimorbidity in 15 provinces of China. The prevalence of diseases in descending order was dyslipidaemia (39.99%), hypertension (39.48%), obesity (16.42%), MCI (14.47%), diabetes (14.16%), tumor (1.09%), stroke (1.04%), myocardial infarction (0.71%), and asthma (0.64%). A total of seven multimorbidity patterns were identified in this group. Obesity paired with hypertension, and diabetes paired with dyslipidemia were the two major patterns of multimorbidity in the general population and age or sex subgroups. The multimorbidity patterns of different populations were concentrated in the combination of obesity, hypertension, diabetes, and dyslipidemia. The risk of multimorbidity was lower in females than in males (OR=0.85, 95%CI: 0.75, 0.97). The multimorbidity risk was 1.56 times higher in the 55-64 years group than in the 45-54 years group (OR=1.56, 95%CI: 1.40, 1.75). Drinking in the past year increased the risk of multimorbidity by 25% (OR=1.25, 95%CI: 1.08, 1.45) compared to no alcohol comsumption in the past year. High and medium levels of physical activity were associated with a decreased OR (high: OR=0.74, 95%CI: 0.65, 0.85; medium: OR=0.81, 95%CI: 0.70, 0.93) with low level of physical activity as reference. Conclusion In 2018, there was a high prevalence rate of multimorbidity among middle-aged adults in China. The main multimorbidity patterns were obesity-hypertension and diabetes-dyslipidemia. Surveillance and interventions should be strengthened particularly for men, individuals with alcohol consumption or insufficient physical activity, and those with major multimorbidity patterns.

Care dependence refers to a complex and comprehensive state of being dependent on others due to the limita-tion of physical functions caused by the disease.Elderly stroke patients are high risk group for care dependence due to decrease in self-care ability caused by their disease characteristics.Therefore,this paper reviews the current research status,influencing factors,and interventions of care dependence,in order to provide reference for increasing attention to the care needs of elderly stroke patients,reducing their dependence,and improving their quality of life.

Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, making accurate and objective diagnosis challenging when relying solely on clinical assessments. Therefore, there is an urgent need to develop reliable and objective auxiliary diagnostic models to provide effective diagnosis for PTSD patients. Currently, the application of graph neural networks for representing PTSD is limited by the expressiveness of existing models, which does not yield optimal classification results. To address this, we proposed a multi-graph multi-kernel graph convolutional network (MK-GCN) model for classifying PTSD data. First, we constructed functional connectivity matrices at different scales for the same subjects using different atlases, followed by employing the k-nearest neighbors algorithm to build the graphs. Second, we introduced the MK-GCN methodology to enhance the feature extraction capability of brain structures at different scales for the same subjects. Finally, we classified the extracted features from multiple scales and utilized graph class activation mapping to identify the top 10 brain regions contributing to classification. Experimental results on seismic-induced PTSD data demonstrated that our model achieved an accuracy of 84.75%, a specificity of 84.02%, and an AUC of 85% in the classification task distinguishing between PTSD patients and non-affected subjects. The findings provide robust evidence for the auxiliary diagnosis of PTSD following earthquakes and hold promise for reliably identifying specific brain regions in other PTSD diagnostic contexts, offering valuable references for clinicians.
Humans ; Stress Disorders, Post-Traumatic/diagnostic imaging* ; Neural Networks, Computer ; Algorithms ; Brain/diagnostic imaging* ; Magnetic Resonance Imaging