Objective: To investigate the prevalence of undernutrition and its associated factors among left behind and non left behind primary and secondary school students in the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) areas of central and western China, so as to provide evidence for improving the nutritional status of children and adolescents. Methods: A survey was conducted among 123 782 students selected by random cluster sampling method in grades 3-9 from NIPRCES in central (Hebei, Shanxi, Heilongjiang, Jilin, Anhui, Jiangxi, Henan, Hunan, Hubei, and Hainan) and western (Gansu, Guangxi, Inner Mongolia, Ningxia, Tibet, Shaanxi, Guizhou, Sichuan, Xinjiang, the Xinjiang Production and Construction Corps, Yunnan, Qinghai, and Chongqing) China in 2023. Anthropometric measurements and questionnaires were used to assess nutritional and dietary status. The prevalence of undernutrition was compared between left behind and non left behind students by Chi square test, and associated factors were analyzed by three level Logistic mixed effects model. Results: The prevalence of undernutrition was 8.5% (4 326) in left behind students and 8.1% (5 905) in non left behind students. Three level Logistic mixed effect model analysis showed that whether left behind or non left behind, the undernutrition rates of primary and secondary students in western regions were higher than those of students in central regions [ OR (95% CI )=1.72(1.57-1.87),2.25(2.07- 2.43 )]; the undernutrition risk was lower for those whose fathers had a cultural level of high school or above [ OR (95% CI )=0.69(0.62-0.77),0.90(0.82-0.98)] or junior high school [ OR (95% CI )=0.72(0.66-0.79),0.92(0.85-0.99)] compared to those with primary school or below; picky eating or selective eating increased the risk of undernutrition [ OR (95% CI )=2.36(2.07-2.68),2.28(2.04-2.55)], and primary and secondary school students without nutritional content in health education classes had higher rates of undernutrition [ OR (95% CI )=1.12(1.03-1.23),1.09(1.01-1.17)](all P <0.05). Conclusion The prevalence of undernutrition is slightly higher in left behind primary and secondary students than in non left behind primary and secondary students in central and western NIPRCES areas, with variations across different characteristics.

Objective: To analyze the trends of the frequency of meat, egg, and milk consumption among rural primary and junior high school students in central and western China covered by the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) from 2015 to 2023, so as to provide basis for formulating more targeted nutrition intervention policies and health education strategies. Methods: Using data from six rounds of monitoring and evaluation (2015-2021 and 2023), the study included 323 870 students from grade 3 to 9 across 22 provinces (autonomous regions and municipalities) in central and western China. The consumption frequencies of meat, egg, and milk over the past week were collected via questionnaires. The Cochran-Armitage trend test was used to analyze temporal trends, and multivariable Logistic regression models were employed to analyze factors associated with the frequency of meat, egg and milk consumption and to test for interaction effects between the year and gender, region, and grade level. Results: From 2015 to 2023, the proportion of students consuming meat, egg, and milk ≥1 time/day increased from 23.20 %, 10.71%, and 0.74% to 35.53%, 22.09%, and 26.63%, respectively. Trend tests indicated a significant upward trend for the daily intake of all three food categories for meat, egg and milk over the years ( Z =67.18, 64.90, 93.14, all P <0.01). Multivariable Logistic regression analysis showed that the daily meat intake was lower in the central region than in the western region ( OR=0.77, 95%CI =0.76-0.78), whereas the daily intake of eggs ( OR=1.19, 95%CI =1.17-1.22) and milk ( OR= 1.27 , 95%CI =1.24-1.29) was higher in the central region (all P <0.05). Compared with grade 3-4 students, junior high school students had lower daily intake of meat, eggs, and milk≥1 time/day ( OR =0.95, 0.77, 0.77, all P <0.05), with a declining trend as grade increased. Girls also had lower daily intake of meat, eggs, and milk ≥1 time/day than boys ( OR =0.95，0.93，0.91, all P < 0.05). Significant interactions were observed between year and region, as well as between year and grade (all P <0.05). Conclusion From 2015 to 2023, the NIPRCES improved the intake level of among rural students, but the situation of relatively insufficient intake of egg and milk among females, junior high school students and those in the western region still exists.

Objective: To quantitatively assess the health risk of preservatives from beverages around primary schools in Anshun City, and to provide scientific basis for precise food safety supervision. Methods: From December 2023 to July 2024, 602 beverage samples were randomly collected from within 100 meters of 19 primary schools in Anshun City. The content of benzoic acid, sorbic acid, and dehydroacetic acid was detected according to GB 5009 series standards. Combined with children s physiological parameters (body weight 30 kg, daily intake 0.15 L), the Hazard Quotient (HQ) and Hazard Index (HI) models were used to evaluate health risks. Results: The total detection rate of preservatives from beverages around primary schools was 63.0%, and the total over limit rate was 9.0%. The detection rate of preservatives in flavored beverages was the highest (72.6%), and the highest over limit rate of preservatives in special purpose beverages was the highest (17.2%). The single preservative HQ (benzoic acid up to 0.47 ) and mixed HI (up to 0.55) of all samples were below 1(safety threshold). However, the HQ value of benzoic acid in flavored beverages (0.47) was 2.9 times that of sorbic acid (0.16), contributing significantly to health risk. Sensitivity analysis showed that if the daily consumption increased to 0.3 L, the HI value of flavored beverages would rise to 1.11, exceeding the safety threshold. Enterprise scale analysis showed that the exceedance rate of special purpose beverages in large enterprises reached 30.0%, while micro enterprises, accounting for a dominant market share (52.2%), constituted the main source of children s daily exposure to their products. Conclusions The overall health risk of perservatives in beverages sold near primary schools in Anshun City is controllable, but there is a noticeable risk of gradient. The risk of children’s exposure to preservatives through beverage consumption should not be ignored.

Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Radar-based non-contact health monitoring technology (RBNHMT) has emerged as a transformative paradigm in continuous health sensing, enabling non-invasive and continuous monitoring of physiological parameters and behavioral patterns by transmitting electromagnetic waves, analyzing the reflected signals, and detecting subtle bodily movements—ranging from millimeter-scale chest wall displacements due to respiration to micro-scale vibrations associated with cardiac activity—ultimately transforming them into quantifiable health data. Distinguished by its non-contact operation, inherent privacy preservation, and adaptability to diverse scenarios, RBNHMT exhibits stronger resistance to environmental interference than conventional contact-based monitoring, and has solidified its position as a prominent and dynamic research focus in the field of non-contact health monitoring. Currently, significant and multifaceted progress has been made across several key areas. In human activity recognition (HAR), systems leveraging micro-Doppler signatures or point cloud sequences achieve high-precision detection of gait, gestures, and fall events, with state-of-the-art deep learning-based models achieving accuracy rates exceeding 99% in controlled experimental settings. For vital sign and sleep monitoring, it not only tracks respiratory and heart rates continuously but also extracts clinically relevant metrics such as heart rate variability (HRV) for autonomic nervous system assessment and estimates blood pressure through indirect methods like pulse transit time analysis, while maintaining robustness in dynamic settings through advanced motion compensation algorithms. In sleep monitoring, it further enables sleep posture classification and apnea event detection. In emotion and stress recognition, it provides a non-intrusive approach for psychological assessment by analyzing autonomic-response physiological signal patterns or behavioral features. Furthermore, its applications in auxiliary medical diagnosis have expanded to promising interdisciplinary areas such as non-contact heart sound auscultation, radar-based screening for obstructive sleep apnea (OSA), and emerging research into breast cancer detection using microwave and millimeter-wave imaging techniques. However, several challenges impede its practical deployment. Signal quality is significantly compromised by multipath interference in complex indoor environments and clutter from static objects, and by motion artifacts in dynamic scenarios where gross body movements obscure the subtle physiological signals. Algorithmically, separating signals from multiple targets in close proximity and calibrating for substantial individual physiological differences, such as body habitus, baseline vital signs, remain difficult and limit generalizability. Hardware design also faces the challenge of balancing power consumption, cost, integration, and performance, often requiring trade-offs that constrain miniaturization, battery life, or measurement sensitivity. Future advancement, therefore, requires collaborative and targeted innovation across multiple dimensions. Algorithmically, developing adaptive signal processing models based on emerging paradigms such as few-shot learning (for user-specific calibration with minimal data) and reinforcement learning (for dynamic noise suppression) is essential. At the hardware level, highly integrated radar SoCs with embedded processing capabilities and advanced packaging technologies are crucial for achieving the dual goals of device miniaturization and cost reduction without sacrificing performance. At the system level, fusing radar data with complementary modalities such as infrared and acoustic sensing can create a synergistic, multi-modal framework that significantly enhances perceptual robustness and reliability in complex, real-world environments. This review provides a comprehensive synthesis that systematically summarizes the relevant theoretical foundations and application progress, and offers an in-depth analysis of the current technical bottlenecks. It aims to provide a clear development path and a foundational academic reference for the in-depth integration and practical application of RBNHMT in critical scenarios including rehabilitation engineering, smart elderly care, in-vehicle health monitoring, and beyond, thereby offering innovative technical support for the vision of universal, proactive, and personalized health management.

Traditional Chinese medicine(TCM), a treasure of the Chinese nation, contains abundant chemical components and demonstrates unique pharmacological activities, showing important values in clinical applications. With profound connotations and broad application prospects, TCM urgently needs us to further explore and conduct systematic research. Puerarin is a small-molecule natural isoflavonoid carbon glycoside extracted from plants of Pueraria. It is also the main active ingredient of Puerariae Lobata Radix, a Chinese herbal medicine with both medicinal and edible values. Puerarin has a variety of pharmacological effects such as blood pressure-lowering, anti-atherosclerosis, anti-ischemia-reperfusion injury, antithrombotic, anti-tumor, anti-inflammatory, liver-protecting, nerve cell-protecting, and intestinal microbiota-regulating effects. It is also an active ingredient that has been widely studied. This article comprehensively reviews the research progress in the pharmacological effects and molecular mechanisms of puerarin over the years, aiming to provide references and theoretical support for the in-depth research and development as well as clinical application of puerarin.
Isoflavones/chemistry* ; Humans ; Animals ; Drugs, Chinese Herbal/chemistry* ; Pueraria/chemistry*

In recent years, mesenchymal stem cell-derived exosomes (MSC-EXO) have garnered increasing attention in the field of stomatology and have become an established research area in biomedical research. This article reviews the engineering of exosomes derived from mesenchymal stem cells and their application in the field of stomatology, in order to provide new ideas for the development of stomatology. Exosomes are nanoscale membrane vesicles secreted by cells and contain a variety of proteins, RNAs, lipids, and other biomolecules. They are transported through the circulatory system and can interact with other cells to regulate their biological behavior and participate in a variety of physiological and pathological processes. In the treatment of oral diseases, exosomes have shown great potential due to their natural biological activity and versatility. However, studies have found that relying solely on the function of natural exosomes may not fully meet the complex clinical requirements. Therefore, the concept of engineered exosomes has emerged. Engineered exosomes can be modified by bioengineering technology to enhance their targeting, allowing them to reach the lesion site more accurately. At the same time, engineered exosomes can also be surface modified or loaded internally to carry specific therapeutic molecules, such as drugs, gene editing tools or signaling molecules to improve the therapeutic effect. In addition, this engineered treatment can also confer greater stability to exosomes, making them better able to resist clearance by the immune system when circulating in the body, extending their half-life, and improving the effectiveness of treatment. Although engineered exosomes have attracted extensive attention in the fields of stomatology and other fields, their application is still mainly in the stage of basic research. To promote the clinical application of engineered exosomes, it is necessary to provide more sufficient evidence of biocompatibility and clarify their therapeutic effect and mechanism.

OBJECTIVES: To construct a Z-score regression model for coronary artery diameter based on echocardiographic data from children in Sichuan Province and to establish a Z-score calculation formula. METHODS: A total of 744 healthy children who underwent physical examinations at Sichuan Provincial People's Hospital from January 2020 to December 2022 were selected as the modeling group, while 251 children diagnosed with Kawasaki disease at the same hospital from January 2018 to December 2022 were selected as the validation group. Pearson correlation analysis was conducted to analyze the relationships between coronary artery diameter values and age, height, weight, and body surface area. A regression model was constructed using function transformation to identify the optimal regression model and establish the Z-score calculation formula, which was then validated. RESULTS: The Pearson correlation analysis showed that the correlation coefficients for the diameters of the left main coronary artery, left anterior descending artery, left circumflex artery, and right coronary artery with body surface area were 0.815, 0.793, 0.704, and 0.802, respectively (P<0.05). Among the constructed regression models, the power function regression model demonstrated the best performance and was therefore chosen as the optimal model for establishing the Z-score calculation formula. Based on this Z-score calculation formula, the detection rate of coronary artery lesions was found to be 21.5% (54/251), which was higher than the detection rate based on absolute values of coronary artery diameter. Notably, in the left anterior descending and left circumflex arteries, the detection rate of coronary artery lesions using this Z-score calculation formula was higher than that of previous classic Z-score calculation formulas. CONCLUSIONS The Z-score calculation formula established based on the power function regression model has a higher detection rate for coronary artery lesions, providing a strong reference for clinicians, particularly in assessing coronary artery lesions in children with Kawasaki disease.
Humans ; Male ; Female ; Child, Preschool ; Child ; Coronary Artery Disease/diagnostic imaging* ; Infant ; Mucocutaneous Lymph Node Syndrome ; Regression Analysis ; Coronary Vessels/diagnostic imaging* ; Echocardiography ; Adolescent

OBJECTIVE: To investigate the clinical characteristics and prognosis of patients with IgD multiple myeloma (MM). METHODS: The clinical data of 8 patients with IgD MM admitted to Gansu Provincial Hospital from September 2013 to February 2023 were collected, and their clinical characteristics and prognosis were retrospectively analyzed and summarized. RESULTS: Among the 8 enrolled patients, there were 4 males and 4 females, with a median age of 60 (44-74) years. All patients had symptoms of renal insufficiency and anemia. There were 3 cases of bone invasion, 3 cases of splenomegaly, 7 cases of IgD-λ type, and 1 case of IgD-κ type. FISH examination was performed in 7 cases, and 6 of them were positive for 1q21 . There were 6 cases in DS stage III and 2 cases in DS stage II; According to ISS staging, there were 6 cases in stage III, 1 case in stage II, and 1 case in stage I; According to R-ISS staging, there were 5 cases in stage III and 3 cases in stage II. All patients received bortezomib-based combination chemotherapy, with 1 case undergoing autologous stem cell transplantation (ASCT) and 2 cases receiving daratumumab in combination. The median treatment period was 6 (1-15) cycles. The short-term efficacy was evaluated after 4-6 courses of treatment. Among the 6 patients with assessable efficacy, 1 case experienced disease progression (PD), and 5 cases achieved complete remission (CR). The median follow-up time was 26 (11-33) months, and the median progression-free survival (PFS) and median overall survival (OS) of the patients were 11.25 (3-26) months and 18.5 (4-33) months, respectively. Among the 8 patients, 4 cases died. Among the deceased patients, 3 cases were in R-ISS stage III and 3 cases were 1q21 positive. 2 of the 5 patients with early CR died due to disease progression. CONCLUSION The incidence of IgD MM is low, the symptoms of early renal damage, blood system damage and bone erosion in IgD MM patients are obvious, and the median survival time is short. ASCT and / or daratumumab may bring lasting relief for IgD MM patients, but large-scale clinical studies are still needed.
Humans ; Multiple Myeloma/therapy* ; Middle Aged ; Male ; Female ; Aged ; Prognosis ; Immunoglobulin D ; Adult ; Retrospective Studies

OBJECTIVE: To analyze the clinical characteristics and prognosis of patients with T-cell large granular lymphocytic leukemia (T-LGLL). METHODS: The clinical data of 7 patients with T-LGLL in Gansu Provincial Hospital from March 2016 to June 2023 were analyzed retrospectively. RESULTS: Among the 7 patients, 5 were male and 2 were female, with a median age of 51(28-83) years old. At the onset of illness, 6 cases showed symptoms of fatigue and anemia, 4 cases had enlarged lymph nodes, and 5 cases had splenomegaly. Examination showed that 4 cases were antinuclear antibody(ANA) positive, 5 cases were anemia. The median hemoglobin (Hb) level was 83(61-151) g/L, the median white blood cell count (WBC) was 5.6(2.0-8.7)×10⁹ /L, and the median percentage of lymphocytes in peripheral blood was 66.2(13.9-89.1)%. There were 3 cases with extremely active bone marrow hyperplasia, 2 cases with active hyperplasia, and 2 cases with decreased hyperplasia. There were 5 cases with mild myelofibrosis (MF-1), and 1 case with moderate myelofibrosis (MF-2). The median percentage of T cells was 64.3 (31.5-80.6)%. 5 cases showed the classic immunophenotype (CD3 ⁺ CD4^- CD8 ⁺), 6 cases were CD57 ⁺, 3 cases were TCRα/β ⁺, and 3 cases were TCRγ/δ ⁺. TCRG rearrangement was detected in 5 cases.The median follow-up time was 55(4-87) months, one patient died of heart disease, and the other 6 patients are surviving. CONCLUSION The incidence of T-LGLL is low. The initial symptoms of T-LGLL include anemia, fatigue, lymph node enlargement, splenomegaly, and higher percentage of lymphocytes in peripheral blood, the percentage of abnormal T cells in bone marrow was significantly increased. Analysis of flow cytometric immunophenotyping, TCR gene rearrangement, and hot spot genes such as STAT3 and STAT5b, can improve the diagnostic accuracy.
Humans ; Leukemia, Large Granular Lymphocytic/diagnosis* ; Male ; Middle Aged ; Female ; Aged ; Prognosis ; Adult ; Aged, 80 and over ; Retrospective Studies