Environmental pollution is a significant public health challenge worldwide, and investigating the causal relationship between environmental exposure and population health outcomes is a key objective of environmental epidemiology research. In recent years, the complexity of environmental exposures has increasingly come to the forefront, making it challenging for observational studies that dominate environmental epidemiology to accurately estimate causal effects. Causal inference methods are particularly advantageous in controlling for confounding factors, thus holding great potential in environmental epidemiology research. Researchers can use appropriate causal inference methods to simulate the process of randomization, providing strong support for revealing the causal relationship between environmental exposure and health outcomes. However, there is a lack of reviews on the application of causal inference methods in environmental epidemiology studies in China. Therefore, this study introduced the basic principles of common causal inference statistical methods in environmental epidemiology, summarized the applicable conditions, advantages and disadvantages of various methods, and provided R software implementation codes for these methods, aiming to offer guidance for optimizing research design and practicing causal inference statistical methods.

[Purpose]To analyze the incidence and mortality of malignant tumors in cancer regis-tration areas of Heilongjiang Province in 2019 and the trend from 2013 to 2019.[Methods]The incidence and mortality data of malignant tumors reported by the Heilongjiang provincial cancer registries from 2013 to 2019 were collected,and the quality of data was assessed.The crude in-cidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),0～74 years old cumulative rate were calculated.Joinpoint 4.6.0 software was used to calculate the average annual percentage change(AAPC)of ASIRC/ASMRC for the trend analysis from 2013 to 2019.[Results]In 2019,there were 16 732 new cases of malignant tumors in the cancer registration areas of Heilongjiang Province,including 8 639 males and 8 093 females.The crude incidence rate was 295.37/105,with an ASIRC and ASIRW of 167.10/105 and 164.18/105,respectively.There were 10 988 malig-nant tumor deaths,including 6 540 males and 4 448 females.The crude mortality rate was 193.97/105,with an ASMRC and ASMRW of 101.22/105 and 101.66/105,respectively.The inci-dence and mortality of malignant tumors increased rapidly after the age of 55,and the incidence and mortality of males were slightly higher than those of females.The top five malignant tumors of high incidence were lung cancer,female breast cancer,colorectal cancer,liver cancer and thy-roid cancer,and the top five malignant tumors of high mortality were lung cancer,liver cancer,colorectal cancer,stomach cancer and female breast cancer.From 2013 to 2019,the ASIRC of malignant tumors in cancer registration areas increased from 153.08/105 in 2013 to 167.10/105 in 2019,and the ASMRC increased from 92.22/105 in 2013 to 101.22/105 in 2019,but there was no statistical difference in the change trend.[Conclusion]The incidence and mortality of malignant tumors in Heilongjiang Province remain high.Lung cancer,female breast cancer,colorectal can-cer,liver cancer and stomach cancer should be the focus of cancer prevention and control.

Alzheimer's disease (AD) is a common neurodegenerative disorder among the elderly, and BuChE has emerged as a potential therapeutic target. In this study, we reported the development of compound 8e, a selective reversible BuChE inhibitor (eqBuChE IC₅₀ = 0.049 μmol/L, huBuChE IC₅₀ = 0.066 μmol/L), identified through extensive virtual screening and lead optimization. Compound 8e demonstrated favorable blood-brain barrier permeability, good drug-likeness property and pronounced neuroprotective efficacy. Additionally, 8e exhibited significant therapeutic effects in zebrafish AD models and scopolamine-induced cognitive impairments in mice. Further, 8e significantly improved cognitive function in APP/PS1 transgenic mice. Proteomics analysis demonstrated that 8e markedly elevated the expression levels of very low-density lipoprotein receptor (VLDLR), offering valuable insights into its potential modulation of the Reelin-mediated signaling pathway. Thus, compound 8e emerges as a novel and potent BuChE inhibitor for the treatment of AD, with significant implications for further exploration into its mechanisms of action and therapeutic applications.

Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

The sterile electrode acupuncture needle for single use is an innovative product that combines traditional acupuncture with modern electronic technology, and it has obtained Class Ⅱ medical device registration certificate. This acupuncture device consists of a needle body and a handle. The diameter of the needle body ranges from 0.16 mm to 0.55 mm, and the length from 7 mm to 150 mm. The spiral spray technology is adopted to modify the micron-level insulating coat on stainless steel needle body. The needle holder is connected to the electroacupuncture device (conductive), the micro-film insulated needle body (non-conductive) and the membrane-free needle tip (conductive) can provide a precise electrical stimulation for different tissue layers of acupoints (such as deep nerves and fascia). The intradermal stimulation test, cytotoxicity test and hypersensitivity reaction test have showed a favorable biocompatibility, laying a solid and reliable safety for clinical application. This acupuncture device is suitable for the in-depth invasive stimulation at the sites of human body surface in combination with electroacupuncture equipment in medical institutions.
Humans ; Needles ; Acupuncture Therapy/instrumentation* ; Electrodes ; Equipment Design ; Electroacupuncture/instrumentation* ; Acupuncture Points ; Animals

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

[Purpose]To analyze the incidence and mortality of malignant tumors in cancer regis-tration areas of Heilongjiang Province in 2019 and the trend from 2013 to 2019.[Methods]The incidence and mortality data of malignant tumors reported by the Heilongjiang provincial cancer registries from 2013 to 2019 were collected,and the quality of data was assessed.The crude in-cidence/mortality rate,age-standardized incidence/mortality rate by Chinese standard population(ASIRC/ASMRC)and world standard population(ASIRW/ASMRW),0～74 years old cumulative rate were calculated.Joinpoint 4.6.0 software was used to calculate the average annual percentage change(AAPC)of ASIRC/ASMRC for the trend analysis from 2013 to 2019.[Results]In 2019,there were 16 732 new cases of malignant tumors in the cancer registration areas of Heilongjiang Province,including 8 639 males and 8 093 females.The crude incidence rate was 295.37/105,with an ASIRC and ASIRW of 167.10/105 and 164.18/105,respectively.There were 10 988 malig-nant tumor deaths,including 6 540 males and 4 448 females.The crude mortality rate was 193.97/105,with an ASMRC and ASMRW of 101.22/105 and 101.66/105,respectively.The inci-dence and mortality of malignant tumors increased rapidly after the age of 55,and the incidence and mortality of males were slightly higher than those of females.The top five malignant tumors of high incidence were lung cancer,female breast cancer,colorectal cancer,liver cancer and thy-roid cancer,and the top five malignant tumors of high mortality were lung cancer,liver cancer,colorectal cancer,stomach cancer and female breast cancer.From 2013 to 2019,the ASIRC of malignant tumors in cancer registration areas increased from 153.08/105 in 2013 to 167.10/105 in 2019,and the ASMRC increased from 92.22/105 in 2013 to 101.22/105 in 2019,but there was no statistical difference in the change trend.[Conclusion]The incidence and mortality of malignant tumors in Heilongjiang Province remain high.Lung cancer,female breast cancer,colorectal can-cer,liver cancer and stomach cancer should be the focus of cancer prevention and control.

Objective To observe the application effect of precision movement cloud technology system on the population with abnormal blood pressure.Methods A total of 100 people with abnormal blood pres-sure in the Chronic Disease Management Center of this hospital from March 1 to December 31,2022 were se-lected as the study subjects and divided into the blood pressure high value group and the grade 1 hypertension group according to the blood pressure situation,50 cases in each group.After the conventional physical exami-nation,questionnaire survey and exercise measurement,"five-in-one"individualized interventional guidance was carried out,the remote monitoring and management was implemented,the movement intensity was moni-tored by the heart rate for supervising the implementation of precise movement,furthermore the changes of various indicators before intervention and in 3 months after intervention were compared between the two groups.Results Compared with before intervention,the body weight,BMI,systolic pressure,diastolic pres-sure,central arterial pressure and vascular growth index after intervention in the blood pressure high value group were decreased,the cardiorespiratory endurance,glycosylated hemoglobin,high-density lipoprotein and cholesterol levels were increased,the differences were statistically significant(P＜0.05).Compared with be-fore intervention,the body weight,BMI,systolic pressure,diastolic pressure,central arterial pressure and vas-cular growth index after intervention in the grade 1 hypertension group were decreased,the cardiorespiratory endurance was increased,and the differences were statistically significant(P＜0.05).Compared with before intervention,the body weight,BMI,systolic pressure,diastolic pressure,central arterial pressure,triglyceride and vascular growth index after intervention in all the subjects were decreased,the cardiorespiratory endur-ance,blood creatinine and blood glucose levels were increased,and the differences were statistically significant(P＜0.05).Conclusion The precision movement cloud technology system is correlated with the improvement of blood pressure,and it is recommended to promote its use in the people with blood pressure high value and grade I hypertension.

Humans ; Aminoquinolines/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation/genetics* ; Standard of Care