Objective: To explore the relative importance of different food attributes and levels in food decision making of school aged children, and to understand their meal preferences, so as to provide the evidence for formulating precise intervention strategies for dietary behaviours of school aged children. Methods: From May to June 2024, a total of 854 children aged 11 to 15 years old were selected from 2 middle schools (each school in urban and rural areas) in both Hubei Province and Anhui Province by stratified cluster random sampling method to conduct a D-optimal discrete choice experiment. The mixed Logit model was used to analyze children s preference for meal attributes and different levels, and to calculate the relative importance (RI) of attributes and willingness to pay (WTP) in meal choices. Results: The included five food attributes had statistical significance on meal choice of school aged children ( P <0.05). The relative importance of food attributes affecting the meal choices of school aged children in descending order were dining mode ( RI =31.26%), food varieties ( RI =30.56%), cooking method( RI =23.84%), taste( RI =8.06%) and price ( RI =6.27%). Among them, school aged children preferred home cooked meals ( β =0.74) (WTP=86.3 yuan),varied foods(grain/tubers+vegetables+fish, meat, eggs and beans) ( β =0.61) (WTP=71.9 yuan), fried/roasted cooking ( β =0.51) and spicy taste ( β =0.33).Price was negatively correlated with meal choices( β =-0.01) ( P <0.05). Based on residential area and body mass index (BMI), the stratified analysis showed that dining mode was highest in the relative importance for rural children with overweight and obese children ( RI =31.28%,34.17%), both of whom preferred home cooked meals ( β =0.76, 0.91), and meals containing fish, meat, eggs and beans with grain/tubers or grain/tubers and vegetables in terms of food choice (area: β =0.53, 0.53 ; BMI: β =0.55, 0.56) ( P <0.05). Conclusions School aged children have different preferences for different attributes of meals. The quality of school meals should be improved,the cost of buying healthy meals should be reduced,targeted family health education should be carried out,and healthy cooking methods should be advocated.

OBJECTIVE To investigate the mechanism through which Danggui buxue decoction regulates neutrophil extracellular traps （NETs） to improve osteoporosis （OP） in rats with premature ovarian failure （POF）. METHODS Female SD rats were randomly divided into normal group， model group， calcitriol group， and Danggui buxue decoction low-dose， medium-dose and high-dose groups， with 9 rats in each group. Except for the normal group， all other groups were administered cisplatin via intraperitoneal injection on days 1 and 8 to establish a POF complicated with OP model. Each group received the corresponding drugs or normal saline intragastrically starting from day 5， once a day， for 4 consecutive weeks. After the last medication， serum levels of estradiol （E2）， NETs， 25-hydroxyvitamin D3 [25（OH）D3]， receptor activator of nuclear factor-κB ligand （RANKL）， and osteocalcin （BGP） were measured. The histopathological changes in bone tissue were observed. The expressions of vitamin D receptor （VDR）， myeloperoxidase （MPO）， neutrophil elastase （NE） and citrullinated histone H3 （CitH3） in bone tissue were detected； the protein expressions of 25-hydroxyvitamin D-1α-hydroxylase （CYP27B1） and 1α，25-dihydroxyvitamin D3-24-hydroxylase （CYP24A1） were also determined. RESULTS Compared with the normal group， the bone tissue of rats in the model group showed a significant reduction in the number of trabeculae， which was thinner broken and poorly connected， with significant destruction of the reticular structure， and an enlarged marrow cavity. Serum levels of NETs and RANKL， the protein expressions of MPO， NE， CitH3 and CYP24A1 in bone tissue were significantly increased or upregulated， while serum levels of E2， 25（OH）D3 and BGP as well as protein expressions of VDR and CYP27B1 were significantly decreased or downregulated （P＜0.05）. Compared with the model group， the histopathological changes in the bone tissue of rats in each administration group showed some degree of recovery， with significant improvements observed in most quantitative indicators （P＜0.05）. CONCLUSIONS Danggui buxue decoction can restore the E2 level in POF complicated with OP rats， and improve OP. The mechanism may be related to its ability to upregulate VD level and inhibit the formation of NETs.

Objective: To analyze the demographic characteristics of patients with red blood cell transfusion reactions, the usage of red blood cell preparations, and the differences in the composition ratio of adverse reactions based on multi-center data from the Haemovigilance Network, in order to reveal the clinical characteristics of red blood cell transfusion and its underlying issues. Methods: Clinical data of patients who experienced transfusion reactions after red blood cell transfusion in the Haemovigilance Network from 2018 to 2023 were collected. The demographic characteristics of patients who experienced transfusion reactions with different types of red blood cell preparations, the utilization of these preparations, and the differences of the composition ratios of transfusion reactions were analyzed. Count data were expressed as numbers (n) or percentages (%), and comparisons between groups were performed using the Chi-square test. Results: Red blood cell transfusion reactions were more common in females (53.56%), with the majority of patients aged 50-69 years (35.54%). The Han polulation accounted for the vast majority of patients (92.77%), and patients in the hematology and obstetrics/gynecology departments had a relatively high proportion of transfusion reactions (13.26% and 14.26%, respectively). Leukocyte-reduced red blood cells and suspended red blood cells were the most common types of transfusion reactions reported among red blood cell preparations. Allergic reactions and non-hemolytic febrile reactions were the most common transfusion reactions, and there were significant differences in the composition ratios of allergic reactions (χ =869.89, P<0.05) and non-hemolytic febrile reactions (χ =812.75, P<0.05) across various types of red blood cell preparations. Conclusion: There are differences in the demographic characteristics and composition ratio of transfusion reactions among different red blood cell preparations. The management of red blood cell transfusion reactions should be tailored to patient characteristics and conditions, and the selection and use of blood products should be optimized to reduce or avoid the occurrence of transfusion reactions, such as considering the use of washed red blood cells for patients with a history of transfusion allergies or those prone to allergies.

BACKGROUND:The sports medicine community has widely called for the use of machine learning technology to efficiently process the huge and complicated sports data resources,and construct intelligent sports injury prediction models,enabling accurate early warning of sports injuries.It is of great significance to comprehensively summarize and review such research results so as to grasp the direction of early warning model improvement and to guide the construction of sports injury prediction models in China. OBJECTIVE:To systematically review and analyze relevant research on sports injury prediction models based on machine learning technology,thereby providing references for the development of sports injury prediction models in China. METHODS:Literature search was conducted on CNKI,Web of Science and EBSCO databases,which mainly searched for literature related to machine learning techniques and sports injuries.Finally,61 articles related to sports injury prediction models were included for analysis. RESULTS AND CONCLUSION:(1)In terms of external risk feature indicators,there is a lack of competition scenario indicators,and the inclusion of related feature indicators needs to be further improved to further enrich the dimensions of the dataset for model training.In addition,the inclusion feature weighting methods of the sports injury prediction model are mainly based on filtering methods and the use of embedding and wrapping weighting methods needs to be strengthened in order to enhance the analysis of the interaction effects of multiple risk factors.(2)In terms of model body training,supervised learning algorithms become the mainstream choice.Such algorithms have higher requirements for the completeness of sample labeling information,and the application scenarios are easily limited.Therefore,the application of unsupervised and semi-supervised algorithms can be increased in the later stage.(3)In terms of model performance evaluation and optimization,the current studies mainly adopt two verification methods:HoldOut crossover and k-crossover.The range of AUC values is(0.76±0.12),the range of sensitivity is(75.92±11.03)%,the range of specificity is(0.03±4.54)%,the range of F1 score is(80.60±10.63)%,the range of accuracy is(69.96±13.10)%,and the range of precision is(70±14.71)%.Data augmentation and feature optimization are the most common model optimization operations.The accuracy and precision of the current sports injury prediction model are about 70%,and the early warning effect is good.However,the model optimization operation is relatively single,and data augmentation methods are often used to improve model performance.Further adjustments to the model algorithm and hyperparameters are needed to further improve model performance.(4)In terms of model feature extraction,most of the internal risk profile indicators included are mainly based on anthropometrics,training load,years of training,and injury history,but there is a lack of sports recovery and physical function indicators.

Objective: To analyze the disease burden of chronic obstructive pulmonary disease (COPD) and changes in its risk factors among residents in Zhejiang Province from 1990 to 2021, so as to identify key priorities for COPD prevention and control. Methods: Data on COPD mortality and disability-adjusted life years (DALY) for residents in Zhejiang Province from 1990 to 2021 were collected from the Global Burden of Disease (GBD) 2021 database. Standardized mortality and standardized DALY rate were calculated using the GBD 2021 world population standard structure. Premature mortality was computed via the life table method. The average annual percent change (AAPC) was applied to analyze trends in COPD mortality, DALY rate, and premature mortality. Changes in deaths of COPD risk factors were evaluated using population attributable fraction (PAF). Results: From 1990 to 2021, the standardized COPD mortality in Zhejiang Province decreased from 272.40/100 000 to 70.56/100 000 (AAPC=-4.395%), and the standardized DALY rate declined from 4 167.37/100 000 to 1 071.89/100 000 (AAPC=-4.396%). Similar downward trends were observed in both males (AAPC=-3.933%, -4.173%) and females (AAPC=-4.785%, -4.480%), all P<0.05. Crude mortality and DALY rates increased with age, and the crude mortality and DALY rates of various age groups in Zhejiang Province showed decreasing trends from 1990 to 2021 (all P<0.05). The premature mortality declined from 4.37% to 0.60% from 1990 to 2021 (AAPC=- 6.206%), with consistent trends across males and females (AAPC=- 6.144%, - 6.379%, all P<0.05). From 1990 to 2021, particulate matter pollution showed the largest reduction in PAF (- 56.76%), while ambient ozone pollution had the largest increase (103.07%) in Zhejiang Province. By 2021, smoking became the leading risk factor for deaths of COPD (PAF=43.32%). Conclusions The standardized mortality, standardized DALY rate, and premature mortality for COPD show consistent declining trends in Zhejiang Province from 1990 to 2021. However, risk factors such as smoking and ambient ozone pollution require intensified focus to further reduce disease burden of COPD.

Objective: To investigate the prevalence levels and trends of overweight and obesity among adult residents in Zhejiang Province from 2015 to 2023, so as to provide a basis for developing regional weight management strategies. Methods: Permanent residents aged ≥18 years from Zhejiang Province who participated in the China Chronic Disease and Risk Factor Surveillance Project in 2015, 2018, and 2023 were selected as survey subjects. Data on sociodemographic information, height, weight and waist circumference were collected through questionnaire surveys and physical examinations. The prevalence of overweight, obesity, and central obesity were calculated and standardized using data from the Seventh National Population Census of Zhejiang Province in 2020. The Cochran-Armitage trend test was employed to analyze the trends in prevalence of overweight, obesity, and central obesity across different genders, ages and regions. Results: A total of 23 902 individuals were surveyed, comprising 10 985 males (45.96%) and 12 917 females (54.04%). Participants were aged ≥60 years, with 13 088 individuals accounting for 54.76%. There were 9 388 urban residents (39.28%) and 14 514 rural residents (60.72%). The standardized prevalence of overweight among residents increased from 30.05% in 2015 to 33.98% in 2023, the standardized prevalence of obesity increased from 7.67% to 15.22%, and the standardized prevalence of central obesity increased from 22.81% to 33.82%, all showed upward trends (all P<0.05). In 2015, 2018, and 2023, the standardized prevalence of overweight was higher in males than in females. In 2018 and 2023, the standardized prevalence of obesity and central obesity were higher in males than in females (all P<0.05). From 2015 to 2023, the standardized prevalence of overweight, obesity, and central obesity among both males and females showed upward trends (all P<0.05). In 2015, 2018 and 2023, the prevalence of central obesity showed an increasing trend with age (all P<0.05). From 2015 to 2023, upward trends were observed in the prevalence of overweight, obesity, and central obesity among residents aged 18-<45 years and aged ≥60 years, as well as in the prevalence of obesity and central obesity among residents aged 45-<60 years (all P<0.05). In 2015, 2018 and 2023, the standardized prevalence of overweight obesity were higher in urban areas than in rural areas, while the standardized prevalence of central obesity was lower in urban areas (all P<0.05). From 2015 to 2023, the standardized prevalence of overweight, obesity, and central obesity among both urban and rural areas showed upward trends (all P<0.05). Conclusion From 2015 to 2023, the prevalence of overweight, obesity, and central obesity among adult residents in Zhejiang Province showed increasing trends, with variations in prevalence levels and trends observed across genders, ages, and urban / rural areas.

OBJECTIVE: To explore the peripheral neural mechanism underlying representation along the distribution of stomach meridian induced by intestinal inflammatory reaction using diarrhea predominant-irritable bowel syndrome (IBS-D) mice. METHODS: Among 62 healthy male C57BL/6 mice of clean grade, 12 mice were randomly selected and divided into a control group and a model group, 6 mice in each group, additionally, 12 mice were randomly selected and divided into a Tianshu group, a Liangqiu group and a Zusanli group, 4 mice in each group. In the model group, citrobacter was administered orally to establish IBS-D model. In the control group and the model group, the visceral pain threshold was observed using fecal colorectal distension (fCRD) induced electromyography of external oblique muscle, the positive cell number of neutrophil in the colonic muscularis was detected by myeloperoxidase (MPO) staining, the number, location and distribution rule of Evans blue (EB) extravasation points were observed by injection of EB staining solution into the tail vein. In the Tianshu group, the Liangqiu group and the Zusanli group, fluorescent dye Dil was injected at bilateral "Tianshu" (ST25), "Liangqiu" (ST34) and "Zusanli" (ST36) respectively, to observe the dye-positive cell number in different dorsal root ganglion (DRG) segments. In the control group and the model group, the activation of satellite glial cells (SGCs) in different DRG segments was observed by immunofluorescence. RESULTS: Compared with the control group, in the model group, the area under curve of electromyography of external oblique muscle was increased at fCRD of 25, 50 and 75 μL distilled water (P<0.001, P<0.01); the MPO-positive cell number of neutrophil in the colonic muscularis was increased (P<0.01). Few EB extravasation points could be found in the control group, while there were much more EB extravasation points observed in the model group, which was specially distribution in the area of stomach meridian, from "Huaroumen" (ST24) to "Zusanli" (ST36), as well as the surface area dominated by L₂-L₅ segment of the spinal cord. The Dil-positive cells were mainly exhibited in the DRG of T₁₁, L₅ and L₄ segments in the Tianshu group, the Liangqiu group and the Zusanli group, respectively. Compared with the control group, the ratio of glial fibrillary acidic protein (GFAP)/glutamine synthetase (GS) co-expression was increased in the DRG of T₁₁, L₄ and L₅ segments in the model group (P<0.05, P<0.01). CONCLUSION The activation of SGCs within DRG of T₁₁, L₄ and L₅ segments may relate closely to the occurrence of the representation along the stomach meridian distribution in IBS-D mice.
Animals ; Male ; Mice ; Irritable Bowel Syndrome/therapy* ; Mice, Inbred C57BL ; Meridians ; Stomach/physiopathology* ; Humans ; Acupuncture Points ; Disease Models, Animal

The occurrence and development of the pattern stem from the intricate interactions among specific biological molecular networks.Thus,broadening the perspective beyond a single molecular factor and investigating the intricate interconnections among molecular network targets across various levels within complex biological systems is essential when exploring the relationship between prescriptions and their corresponding patterns.This article integrates traditional Chinese image-number thinking with modern quantitative analysis,using qualitative"network image thinking"to innovatively apply numerical method in modular pharmacological analysis.This approach explores the connections between macro-level manifestations of complex biological systems and micro-level molecular network features,aiming to elucidate the correlations between prescriptions and patterns across different levels.An original method system of"network image-number thinking"in traditional Chinese medicine was established to systematically reveal the laws and mechanisms underlying the interaction between prescriptions and the human body.The"network image-number thinking"proposed in this paper has multiple core characteristics:it reflects the dialectical unity of"mutual reliance between image and number"and shows the multi-dimensional hierarchy,sequentiality,self-organization,and the emergence of the network system.This paper also elucidates the fundamental features of functional dynamism—which is characterized by the"ease of constant evolution"—and self-regulation,marked by"harmony and symbiosis"within complex network systems.Furthermore,we promote the practicality and superiority of using"network image-number thinking"to guide the module pharmacology when studying the relationship between prescriptions and their corresponding patterns.This thinking method framework provides a novel perspective for developing module pharmacology,effectively highlighting the leading role of original thinking in modern research on traditional Chinese medicine and moving towards a new unified medical system.

Cohort study of children and adolescents health is an ideal method to explore health-related problems from childhood to adulthood, to which more attention has been paid. This paper summarizes the progress in cohort study of children and adolescents health conducted both at home and abroad by introducing the study design, main contents. Emphasizing the international exchange and cohort integration, continuously expanding cohort research field, and using multi-source data for high-quality follow-up have become the trend of cohort study of children and adolescents health.

ObjectiveTo analyze the long-term trends of the disease burden of diabetes attributed to metabolic factors in China from 1990 to 2019, and provide scientific recommendations for diabetes prevention and control in China. MethodsDescriptive analysis was conducted on the disease burden data of diabetes attributed to metabolic factors in China from 1990 to 2019, obtained from GBD 2019, encompassing death form diabetes, disability-adjusted life years (DALY), years of life lost (YLL), and years lived with disability (YLD). Joinpoint regression models were employed to analyze the long-term trends in mortality and DALY rates. Furthermore, the study examined the impact of two metabolic risk factors, high fasting plasma glucose (FPG) levels and high body mass index (BMI) levels, on the disease burden of diabetes. ResultsFrom 1990 to 2019, the overall standardized mortality and DALY rates attributed to metabolic factors for diabetes in the general population in China showed an upward trend, with both average annual percent changes (AAPCs) of 0.1% in the total population. The trend was upward in males with AAPCs of 0.9% and 0.6%, while it was downward in females with AAPCs of -0.4% and -0.3%. As age increased, the disease burden of diabetes attributed to metabolic factors showed an upward trend, with high FPG and high BMI ranking as the top two attributing risk factors. The disease burden of diabetes attributed to metabolic factors was higher in Chinese males than females. ConclusionThe disease burden of diabetes attributed to metabolic factors is increasing among the overall population and particularly among males, while the burden for female is declining. There is a need to increase intervention efforts for males aged 65 and above, provide scientific guidance on residents’ diet and lifestyle habits, and control blood glucose and body weight.