Alzheimer’s disease (AD) is a chronic neurodegenerative disorder that severely affects the health of the elderly, marked by its incurability, high prevalence, and extended latency period. The current approach to AD prevention and treatment emphasizes early detection and intervention, particularly during the pre-AD stage of mild cognitive impairment (MCI), which provides an optimal “window of opportunity” for intervention. Clinical detection methods for MCI, such as cerebrospinal fluid monitoring, genetic testing, and imaging diagnostics, are invasive and costly, limiting their broad clinical application. Speech, as a vital cognitive output, offers a new perspective and tool for computer-assisted analysis and screening of cognitive decline. This is because elderly individuals with cognitive decline exhibit distinct characteristics in semantic and audio information, such as reduced lexical richness, decreased speech coherence and conciseness, and declines in speech rate, voice rhythm, and hesitation rates. The objective presence of these semantic and audio characteristics lays the groundwork for computer-based screening of cognitive decline. Speech information is primarily sourced from databases or collected through tasks involving spontaneous speech, semantic fluency, and reading, followed by analysis using computer models. Spontaneous language tasks include dialogues/interviews, event descriptions, narrative recall, and picture descriptions. Semantic fluency tasks assess controlled retrieval of vocabulary items, requiring participants to extract information at the word level during lexical search. Reading tasks involve participants reading a passage aloud. Summarizing past research, the speech characteristics of the elderly can be divided into two major categories: semantic information and audio information. Semantic information focuses on the meaning of speech across different tasks, highlighting differences in vocabulary and text content in cognitive impairment. Overall, discourse pragmatic disorders in AD can be studied along three dimensions: cohesion, coherence, and conciseness. Cohesion mainly examines the use of vocabulary by participants, with a reduction in the use of nouns, pronouns, verbs, and adjectives in AD patients. Coherence assesses the ability of participants to maintain topics, with a decrease in the number of subordinate clauses in AD patients. Conciseness evaluates the information density of participants, with AD patients producing shorter texts with less information compared to normal elderly individuals. Audio information focuses on acoustic features that are difficult for the human ear to detect. There is a significant degradation in temporal parameters in the later stages of cognitive impairment; AD patients require more time to read the same paragraph, have longer vocalization times, and produce more pauses or silent parts in their spontaneous speech signals compared to normal individuals. Researchers have extracted audio and speech features, developing independent systems for each set of features, achieving an accuracy rate of 82% for both, which increases to 86% when both types of features are combined, demonstrating the advantage of integrating audio and speech information. Currently, deep learning and machine learning are the main methods used for information analysis. The overall diagnostic accuracy rate for AD exceeds 80%, and the diagnostic accuracy rate for MCI also exceeds 80%, indicating significant potential. Deep learning techniques require substantial data support, necessitating future expansion of database scale and continuous algorithm upgrades to transition from laboratory research to practical product implementation.

Objective: To investigate the association of moderate to vigorous intensity physical activity (MVPA) and screen time (ST) with emotional and behavioral problems in middle school students, so as to provide a basis for improving the mental health level of adolescents. Methods: Four public junior high schools in Jinshan District, Shanghai were selected by random cluster method from September 19 to October 18, 2023, with 779 first grade students included. Strengths and Difficulties Questionnaire (SDQ), as well as physical activity and screen time were collected. Binary Logistic regression analysis was used to investigate the association between MVPA, ST and different dimensions of emotional and behavioral problems. Results: Students with MVPA<60 min/d accounted for 82.4%, and with ST>2 h/d accounted for 29.5%. The abnormal rate of SDQ dimensions among students ranged from 6.8 % to 19.3%, with the highest abnormal rate observed in behavioral problems. The results of binary Logistic regression analysis showed that, compared with high level of MVPA, students with low level of MVPA had a significantly increased risk of developing problems in prosocial behavior [ OR (95% CI )=2.16(1.37-3.41), P <0.05]. Compared with low level ST, students with high level had an increased risk of experiencing emotional symptoms, behavioral problems and peer interaction problems [ OR (95% CI )=2.00(1.25-3.22), 2.00(1.41-2.84), and 1.69(1.22-2.33), P <0.05]. Compared with high MVPA and low ST, students with low MVPA and high ST had an increased risk of developing problems in the dimensions of conduct problems, prosocial behavior, and overall difficulty score [ OR (95% CI )=1.92(1.13-3.23), 2.73(1.56-4.77), and 2.07(1.19-3.60), P <0.05]. Conclusions Physical activity and screen time are related to emotional and behavioral problems in middle school students. Insufficient physical activity time and excessive screen time might increase the risk of emotional and behavioral problems. Interventions can be administered on physical activity and screen time among adolescents to promote their mental health.

ObjectiveTo investigate the incidence and relevant factors of visual acuity abnormalities in preschool children undergoing kindergarten entrance physical examinations in Shannan City, Xizang, in 2022, so as to formulate policies for protecting children’s visual acuity and provide a basis for optimizing the children’s health service system in this region. MethodsA cross sectional study was conducted among the children undergoing kindergarten entrance physical examinations in Shannan City in 2022. A diopter examination was performed for these children, and a questionnaire survey was administered to their caregivers. Additionally, factors affecting children’s visual acuity abnormalities were analyzed using the χ² test and binary logistic regression analysis. ResultsA total of 759 children were included in the analysis, with an incidence rate for visual acuity abnormalities of 11.20%. Univariate analysis showed that statistically significant differences were observed in the incidence rate for visual acuity abnormalities among preschool children in terms of different family monthly income (χ²=17.395, P<0.001), father’s education level (χ²=5.133, P=0.023), postnatal vitamin A and D supplementation (χ²=9.575, P=0.008), and feeding method within the first 6 months after birth (χ²=9.330, P=0.009). Multivariate analysis results indicated that family monthly income <5 000 yuan (OR=2.599, P=0.003), insufficient postnatal vitamin A and D supplementation (OR=1.912, P=0.011), and formula feeding (OR=2.131, P=0.010) were relevant factors for abnormal visual development in children. ConclusionThe incidence of visual acuity abnormalities in preschool children in Shannan City is slightly higher than that previously reported in other regions of Xizang. The occurrence of visual acuity abnormalities in children is related to factors such as family monthly income, postnatal vitamin A and D supplementation, and feeding method within the first 6 months after birth. Future interventions should be strengthened on the promotion and dissemination of knowledge related to eye use, such as improve parental awareness of eye care, promote timely vitamin A and D supplementation and encourage breast feeding for children after birth, more specifically, attentions need to be focused on the visual acuity problems of children from low-income families to safeguard the visual health in preschool children in Shannan City, Xizang.

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

OBJECTIVE: To investigate the effect of Tongmai Hypoglycemic Capsule (THC) on myocardium injury in diabetic cardiomyopathy (DCM) rats. METHODS: A total of 24 Sprague Dawley rats were fed for 4 weeks with high-fat and high-sugar food and then injected with streptozotocin intraperitoneally for the establishment of the DCM model. In addition, 6 rats with normal diets were used as the control group. After modeling, 24 DCM rats were randomly divided into the model, L-THC, M-THC, and H-THC groups by computer generated random numbers, and 0, 0.16, 0.32, 0.64 g/kg of THC were adopted respectively by gavage, with 6 rats in each group. After 12 weeks of THC administration, echocardiography, histopathological staining, biochemical analysis, and Western blot were used to detect the changes in myocardial structure, oxidative stress (OS), biochemical indexes, protein expressions of myocardial fibrosis, and nuclear factor erythroid 2-related faactor 2 (Nrf2) element, respectively. RESULTS: Treatment with THC significantly decreased cardiac markers such as creatine kinase, lactate dehydrogenase, and creatine kinase-MB, etc., (P<0.01); enhanced cardiac function indicators including heart rate, ejection fraction, cardiac output, interventricular septal thickness at diastole, and others (P<0.05 or P<0.01); decreased levels of biochemical indicators such as fasting blood glucose, total cholesterol, triglycerides, low-density lipoprotein cholesterol, aspartate transaminase, (P<0.05 or P<0.01); and decreased the levels of myocardial fibrosis markers α-smooth muscle actin (α-SMA), and collagen I (Col-1) protein (P<0.01), improved myocardial morphology and the status of myocardial interstitial fibrosis. THC significantly reduced malondialdehyde levels in model rats (P<0.01), increased levels of catalase, superoxide dismutase, and glutathione (P<0.01), and significantly increased the expression of Nrf2, NAD(P)H:quinone oxidoreductase 1, heme oxygenase-1, and superoxide dismutase 2 proteins in the left ventricle of rats (P<0.01). CONCLUSION THC activates the Nrf2 signaling pathway and plays a protective role in reducing OS injury and cardiac fibrosis in DCM rats.
Animals ; Diabetic Cardiomyopathies/physiopathology* ; Oxidative Stress/drug effects* ; Drugs, Chinese Herbal/therapeutic use* ; Rats, Sprague-Dawley ; Myocardium/metabolism* ; Fibrosis ; Male ; Capsules ; Hypoglycemic Agents/therapeutic use* ; NF-E2-Related Factor 2/metabolism* ; Rats ; Diabetes Mellitus, Experimental/drug therapy*

Objective:To analyze the detection of colorectal advanced neoplasms in the population who underwent colonoscopy screening in Henan Province as part of the Urban China Cancer Screening Program and its influencing factors.Methods:A cross-sectional study design was employed. Based on the Cancer Screening Program conducted in Henan Province, the study enrolled 7 454 urban residents who manifested no symptoms and were recruited from eight cities in the province, including Zhengzhou, Zhumadian, Anyang, Luoyang, Nanyang, Jiaozuo, Xinxiang, and Puyang from October 2013 to October 2019, and participated in colonoscopy screening. The χ 2 test was used to compare the detection rates of colorectal advanced neoplasms among participants with different characteristics, and a multivariate logistic stepwise regression model was used to analyze the factors affecting the detection rates. Results:A total of 7 454 subjects underwent colonoscopy screening, and 112 cases of colorectal advanced neoplasms were detected. Multivariate logistic regression analysis suggested that older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative were risk factors for colorectal advanced neoplasms. The detection rate was significantly higher in people aged 60-74 years compared with those aged 40-49 years, with an odds ratio ( OR) of 2.04 (95% CI: 1.23-3.38).The rates were higher in people who smoked than those who did not smoke, with an OR of 2.21 (95% CI: 1.48-3.31), and in people who consumed more meat than those who consumed less, with an OR of 1.53 (95% CI: 1.04-2.26). Those with diabetes had a higher detection rate compared with those without, with an OR of 1.69 (95% CI: 1.07-2.69), and those with a first-degree family history of colorectal cancer had a higher detection rate than those without, with an OR of 1.64 (95% CI: 1.09-2.46). Conclusion:The detection rate of colorectal advanced neoplasms through colonoscopy screening in Henan Province covered by the Urban China Cancer Screening Program is 1.50%. Older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative are identified as risk factors for colorectal advanced neoplasms.

Objective:To analyze the 5-year relative survival rate of cancer in Henan province based on cancer registration data.Methods:Cancer survival data were extracted from the cancer registration database of Henan province with the diagnosis date between January 1, 2010 and December 31, 2019 were included. The closing date of follow-up was set as December 31, 2019. The 5-year relative survival rate of cancer was calculated using the period survival analysis method and the Ederer II method in the R package "periodR", and the interest period was between 2015 and 2019.Results:During the period of 2015-2019, the overall 5-year relative survival rate of cancer patients in Henan province was 43.6%, and after age-standardization, it was 40.2%. The overall 5-year relative survival rate showed the characteristics of higher survival rate in females than males (45.9% vs 34.7%, Z=39.60, P＜0.001) and higher survival rate in urban areas than rural areas (44.9% vs 39.1%, Z=12.97, P＜0.001). The 5-year relative survival rate for cancer patients among children aged 0-14 was 60.2%, and for adults aged 15 and above, it was 43.5%, which was standardized to 40.2% after age adjustment. There are two types of cancers with a standardized 5-year relative survival rate exceeding 70% (thyroid cancer at 82.2% and breast cancer at 71.6%), and four cancers with a rate below 30% (pancreatic cancer at 18.2%, liver cancer at 19.6%, lung cancer at 24.0%, and gallbladder cancer at 26.6%). Conclusion:The cancer 5-year survival rate in Henan Province is lower than that of the national average, indicating the need for continued enhancement of cancer prevention and control measures.

The new-generation non-invasive prenatal screening technology (NIPT2.0) is a new method successfully realized in recent years based on high-throughput sequencing to synchronously and accurately detect fetal chromosomal aneuploidies, microdeletion/microduplication syndromes and dominantly inherited monogenic disorders. NIPT2.0 can circumvent the shortcomings of previous non-invasive prenatal screening techniques (NIPT and NIPT Plus) including incapability to detect fetal monogenic disorders, insufficient accuracy of detection and low positive predictive values for certain chromosomal abnormalities (in particular trisomy 13, sex chromosomal abnormalities, and small-segment microdeletions and microduplication syndromes). How to apply NIPT2.0 reasonably and normatively to maximize its clinical value has become an issue which requires clarification. The Reproductive Health Branch of the Chinese Maternal and Child Health Care Association has organized experts to fully discuss and jointly drafted this consensus, which has put forwards suggestions over the clinical application strategy for NIPT2.0, including the scope of application, target disease, pre-test consultation, clinical application pathway, post-test genetic counseling and intervention, quality control and limitations, for the reference by peers, with a view to standardize its application and provide better clinical service.

This paper reviews the main symptom clusters, assessment tools, influencing factors, intervention and prospect for the management of symptom clusters associated with chimeric antigen receptor T cell immunotherapy in adult patients with hematological malignancies, in order to provide references for medical staff to enhance the scientificity of symptom management and nursing service quality.

Objective:To analyze the detection of colorectal advanced neoplasms in the population who underwent colonoscopy screening in Henan Province as part of the Urban China Cancer Screening Program and its influencing factors.Methods:A cross-sectional study design was employed. Based on the Cancer Screening Program conducted in Henan Province, the study enrolled 7 454 urban residents who manifested no symptoms and were recruited from eight cities in the province, including Zhengzhou, Zhumadian, Anyang, Luoyang, Nanyang, Jiaozuo, Xinxiang, and Puyang from October 2013 to October 2019, and participated in colonoscopy screening. The χ 2 test was used to compare the detection rates of colorectal advanced neoplasms among participants with different characteristics, and a multivariate logistic stepwise regression model was used to analyze the factors affecting the detection rates. Results:A total of 7 454 subjects underwent colonoscopy screening, and 112 cases of colorectal advanced neoplasms were detected. Multivariate logistic regression analysis suggested that older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative were risk factors for colorectal advanced neoplasms. The detection rate was significantly higher in people aged 60-74 years compared with those aged 40-49 years, with an odds ratio ( OR) of 2.04 (95% CI: 1.23-3.38).The rates were higher in people who smoked than those who did not smoke, with an OR of 2.21 (95% CI: 1.48-3.31), and in people who consumed more meat than those who consumed less, with an OR of 1.53 (95% CI: 1.04-2.26). Those with diabetes had a higher detection rate compared with those without, with an OR of 1.69 (95% CI: 1.07-2.69), and those with a first-degree family history of colorectal cancer had a higher detection rate than those without, with an OR of 1.64 (95% CI: 1.09-2.46). Conclusion:The detection rate of colorectal advanced neoplasms through colonoscopy screening in Henan Province covered by the Urban China Cancer Screening Program is 1.50%. Older age, smoking, higher meat intake, history of diabetes, and family history of colorectal cancer in a first-degree relative are identified as risk factors for colorectal advanced neoplasms.