Objective: To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas. Methods: In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors. Results: The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ). Conclusion The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.

The study explores the traditional Chinese medicine （TCM） diagnostic and treatment approach to coronary microvascular disease （CMVD） from the perspective of "disharmony of blood collaterals and dysfunction of qi transformation". It is proposed that the core pathogenesis of CMVD lies in these two mechanisms. From an integrative medicine perspective， different CMVD types are analyzed based on their specific pathogenesis. Through clinical practice， four targeted treatment methods， i.e. warming， unblocking， tonifying， and activating， are formulated. CMVD caused by atherosclerosis is primarily associated with myocardial ischemia， myocardial infarction， and coronary revascularization， with corresponding pathological mechanisms of latent pathogenic obstruction， toxic accumulation in the collaterals， and deficiency with collateral stasis. The disease progression exhibits characteristics of correlation， staging， and transformation. Accordingly， treatment principles include warming to assist qi transformation， unblocking obstruction and dispelling turbidity， activating to disperse toxic stasis and invigorate collaterals， and tonifying to eliminate stasis and nourish collaterals. For CMVD unrelated to atherosclerosis， attention should be paid to the underlying disease， analyzing the main syndromes of blood and collateral disharmony. An approach combining disease-syndrome differentiation with blood and collateral regulation is emphasized for precise treatment.

Objective: To analyze the features of unhealthy lifestyle patterns among primary and secondary school students in the nutrition improvement program for rural compulsory education students (NIPRCES) areas in China in 2021 and 2023, so as to provide data support for lifestyle promotion and healthy development among primary and secondary school students. Methods: Adopting a cluster random sampling method, data on primary and secondary students aged 7-15 years from nutrition and health surveillance of China NIPRCES in 2021 and 2023 were collected. The prevalence of unhealthy lifestyles among primary and secondary students such as physical inactivity, outdoor inactivity, excessive screen time, and sleep deprivation by gender, school section, urban/rural, and region were analyzed. The reporting rates of the above indicators among primary and secondary students were compared by Chi-square test. Results: In 2021 and 2023, the rates of moderate to vigorous physical inactivity among primary and secondary school students were 79.2% and 80.4%, the rates of outdoor inactivity were 42.8% and 49.3%, the rates of excessive video time were 2.6% and 2.9%, the rates of sleep deprivation were 32.9% and 22.6%, and the differences were statistically significant( χ 2=51.86,1 071.48,18.36,3 296.99, P <0.05). In 2023, the rate of outdoor inactivity for primary and secondary students increased by 6.5 percentage points compared with 2021, and the rate of sleep deprivation decreased by 10.3 percentage points compared with that in 2021. In 2021 and 2023, the reporting rates of moderate to vigorous physical inactivity, outdoor inactivity, and sleep deprivation among girls and junior high school students were higher than those among boys ( χ 2=174.41,180.11; 175.75, 85.46 ;92.22,151.35) and elementary school students ( χ 2=136.64,5.75; 40.55,4.71;162.80,3 291.61); the reporting rates of moderate to vigorous physical inactivity( χ 2=194.43,118.60) and sleep deprivation ( χ 2=969.66,983.72) among urban students were higher than those among rural students; the reporting rates of excessive video time for boys and junior high school students were higher than those for girls ( χ 2=103.62,84.85) and elementary school students ( χ 2=810.09,626.51)( P <0.05). From a regional distribution perspective, the reporting rates of moderato to vigorous physical inactivity, outdoor inactivity, and excessive video time among primary and seconday school students in the central and western regions were lower than those in the eastern region ( χ 2= 663.44,302.78; 356.97,82.10;50.89,81.83) ( P <0.05). Conclusions Unhealthy lifestyles remain prevalent among primary and secondary students in NIPRCES areas of China. These findings underscore the need to strengthen policy implementation for promoting healthy lifestyles among primary and secondary school students.

Objective: To understand the prevalence of elevated blood pressure and its association with dietary patterns in children and adolescents in China, providing evidence for developing dietary intervention of hypertension in children and adolescents. Methods: Data were derived from the China Children s Nutrition and Health System Survey and Application Project(2019-2021). A stratified cluster random sampling method was used to include 7 933 participants from 28 survey sites in seven major regions of Northeast, North, Northwest, East, Central, South and Southwest China. Multivariate Logistic regression models were used to analyze associations between demographic characteristics, nutritional status and elevated blood pressure. Exploratory factor analysis identified dietary patterns, which were divided into three quartile groups (T3, T2, T1) based on factor scores (compliance for dietary pattern) from high to low, and multivariate Logistic regression model assessed the correlation between elevated blood pressure and dietary patterns. Results: The prevalence of elevated blood pressure was 15.4% among Chinese children aged 7-17 years. Significant differences were observed across nutritional status (reference: underweight; normal weight: OR =1.57; overweight: OR = 2.61 ; obesity: OR =3.85), urban/rural residence (reference: rural; urban: OR =0.86), and paternal education (reference: junior high school and below; bachelor degree or above: OR =0.68) ( P <0.05). The detection rates of high blood pressure in T3 group children and adolescents with four dietary patterns (staple food, animal based food, snacks, vegetables and fruits) were 15.7%, 14.6%, 16.8%, and 15.8%, respectively. After adjusting for residence, paternal education, and nutritional status, the "snack dietary pattern" (mainly candy, sugar sweetened beverages, and processed snacks) showed positive associations with elevated blood pressure in T2 ( OR =1.21) and T3 ( OR =1.19) tertiles ( P <0.05). Conclusions The snack dietary pattern is a related factor for elevated blood pressure in children and adolescents. Restricting unhealthy snack intake may promote cardiovascular health.

Ethanol (EtOH) is a common trigger for gastric mucosal diseases, and mitigating oxidative stress is essential for attenuating gastric mucosal damage. Capsaicin (CAP) has been identified as a potential agent to counteract oxidative damage in the gastric mucosa; however, its precise mechanism remains unclear. This study demonstrates that CAP alleviates EtOH-induced gastric mucosal injuries through two primary pathways: by suppressing the chemokine receptor 4 (CCR4)/Src/p47phox axis, thereby reducing oxidative stress, and by inhibiting the phosphorylation and nuclear translocation of nuclear factor-κB p65 (NF-κB) p65, resulting in diminished inflammatory responses. These findings elucidate the mechanistic pathways of CAP and provide a theoretical foundation for its potential therapeutic application in the treatment of gastric mucosal injuries.
Ethanol/toxicity* ; Animals ; Gastric Mucosa/metabolism* ; Signal Transduction/drug effects* ; Oxidative Stress/drug effects* ; Capsaicin/pharmacology* ; Male ; NADPH Oxidases/genetics* ; Mice ; Humans ; src-Family Kinases/genetics*

Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.

Reflux esophagitis is an inflammatory disease of esophageal mucosa damage caused by the reflux of gastric contents into the esophagus. Its incidence is on the rise， and it has become an important precancerous disease of esophageal cancer. Studies have shown that the continuous inflammatory response stimulates the esophageal mucosa， causing abnormal proliferation of esophageal epithelial cells and damage to esophageal mucosal tissue， which eventually leads to the occurrence of heterogeneous hyperplasia and even carcinogenesis. The nuclear transcription factor-kappa B （NF-κB） signaling pathway is one of the most classical inflammatory and cancer signaling pathways. It has been found that abnormal activation of the NF-κB signaling pathway is crucial to the development and prognosis of reflux esophagitis and esophageal cancer. It is widely involved in the proliferation， autophagy， apoptosis， and inflammatory response of esophageal epithelial cells and tumor cells， accelerating the transformation of reflux esophagitis to esophageal cancer and making it a potential target for the treatment of reflux esophagitis and esophageal cancer. Currently， there is no specific treatment for reflux esophagitis and esophageal cancer， and large side effects often appear. Therefore， finding a promising and safe drug remains a top priority. In recent years， traditional Chinese medicine scholars have conducted a lot of research on NF-κB signaling pathway， and the results indicate that NF-κB signaling pathway is an important potential target for traditional Chinese medicine to prevent and treat reflux esophagitis and esophageal cancer， but there is a lack of comprehensive and systematic elaboration. Therefore， this paper summarized the relevant studies in recent years， analyzed the relationship among NF-κB signaling pathway， reflux esophagitis， esophageal cancer， and transformation from inflammation to cancer， and reviewed the research literature on the regulation of the NF-κB signaling pathway in traditional Chinese medicine to prevent and treat reflux esophagitis and esophageal cancer， so as to provide new ideas for the prevention and treatment of reflux esophagitis and esophageal cancer.

New quality productive forces with innovation and efficient utilization of resources as its core,is a new engine driving the innovative development of the national healthcare system.Healthcare big data has become the core motivity of the new quality productive forces,with the rapid development of industrial technologies including data governance and cloud storage,digital intelligence technology,and artificial intelligence,etc.From the perspective of new quality productive forces,it expounds on how to drive the innovative development of health economics and pharmacoeconomics research based on big data,including aspects of developing the innovative instruments for health outcome measurement,building the innovative frameworks of value assessment for innovative medications,and enhancing the precise evidence of healthcare policy evaluation.It describes how to use Healthcare big data as a driver to promote the innovative development of scientific research in related fields,and give full play to the role of economics evidence generation and decision-making support,so as to promote health care decision-making and optimal allocation of resources towards a new stage of improving quality and efficiency.

New quality productive forces with innovation and efficient utilization of resources as its core,is a new engine driving the innovative development of the national healthcare system.Healthcare big data has become the core motivity of the new quality productive forces,with the rapid development of industrial technologies including data governance and cloud storage,digital intelligence technology,and artificial intelligence,etc.From the perspective of new quality productive forces,it expounds on how to drive the innovative development of health economics and pharmacoeconomics research based on big data,including aspects of developing the innovative instruments for health outcome measurement,building the innovative frameworks of value assessment for innovative medications,and enhancing the precise evidence of healthcare policy evaluation.It describes how to use Healthcare big data as a driver to promote the innovative development of scientific research in related fields,and give full play to the role of economics evidence generation and decision-making support,so as to promote health care decision-making and optimal allocation of resources towards a new stage of improving quality and efficiency.

New quality productive forces with innovation and efficient utilization of resources as its core,is a new engine driving the innovative development of the national healthcare system.Healthcare big data has become the core motivity of the new quality productive forces,with the rapid development of industrial technologies including data governance and cloud storage,digital intelligence technology,and artificial intelligence,etc.From the perspective of new quality productive forces,it expounds on how to drive the innovative development of health economics and pharmacoeconomics research based on big data,including aspects of developing the innovative instruments for health outcome measurement,building the innovative frameworks of value assessment for innovative medications,and enhancing the precise evidence of healthcare policy evaluation.It describes how to use Healthcare big data as a driver to promote the innovative development of scientific research in related fields,and give full play to the role of economics evidence generation and decision-making support,so as to promote health care decision-making and optimal allocation of resources towards a new stage of improving quality and efficiency.