1.Improving microclimate standards in primary and secondary school classrooms to promote student health
ZHANG Fengyun, WU Ming, LIU Mingfa, YANG Dongling, LUO Chunyan
Chinese Journal of School Health 2026;47(2):153-157
Abstract
The study examines the development and application of microclimate standards for primary and secondary school classrooms, so as to ensure and promote the healthy growth of primary and secondary school students. The paper systematically reviews relevant domestic and international standards, analyzes the problems and shortcomings arising from their practical application and proposes effective countermeasures, in order to provide robust references aimed at optimizing the classroom environment in primary and secondary schools for student health, as well as offering practical support to advance the construction of a healthy China.
2.Investigation on the microclimate of primary and secondary school classrooms in five provinces and municipalities of China in winter
Chinese Journal of School Health 2026;47(2):158-162
Objective:
To understand the microclimate in primary and secondary school classrooms for the study period during the winter heating season, so as to provide a reference for the revision and improvement of relevant health standards.
Methods:
In December 2024, stratified random sampling was used to select 30 primary and secondary schools and 180 classrooms from the northern regions with centralized heating (Liaoning Province, Tianjin City) and the southern regions without centralized heating (Shanghai City, Anhui Province, and Jiangxi Province). Indoor temperature, relative humidity, wind speed, CO 2 and other indicators were measured on site. Variance analysis, t-test, Mann-Whitney U test and Kruskal-Wallis H test were used to analyze the differences in the microclimate of classrooms among regions and urban and rural differences.
Results:
The average temperature in the middle of the classrooms tested on site was (16.47±4.72)℃, and the variance analysis showed that the difference between the regions was statistically significant ( F=27.80, P <0.01). Among them, Tianjin had the highest average temperature of (20.43± 2.12 )℃, followed by Liaoning (19.03±2.23)℃, Shanghai (15.33±5.32)℃, Anhui (12.79±1.74)℃, and Jiangxi (11.69± 1.68 )℃. Horizontal temperature difference was 0.90 (0.50, 1.60)℃, the vertical temperature difference was 0.20 (0.10,0.60)℃, the average relative humidity was (44.39±16.16)%, the wind speed was 0.03(0.01,0.11)m/s, and the differences among different provinces and cities were statistically significant ( H/F =40.62, 82.69, 95.06, 55.28, all P <0.01). The average CO 2 volume concentration in urban areas of Tianjin, Liaoning, and Shanghai was 0.21(0.16,0.30)%, and there was no statistically significant difference ( H=4.65, P =0.10). There were grade differences in relative humidity ( F =3.71, 6.21) and CO 2 ( H =14.72, 12.92) in the north and the south (all P <0.05). In addition, the temperature, relative humidity, wind speed and CO 2 in the middle of the classroom were 42.8%, 67.8%, 100.0% and 22.2% respectively.
Conclusions
The temperature in the middle of the classroom in the non centralized heating area is lower than the standard, the relative humidity of classroom in the centralized heating area is lower than the standard,and the CO 2 in the classroom in winter is lower than the standard. It is recommended to install heating facilities in schools with low temperatures to increase the temperature and increase the frequency of ventilation in classrooms or adopt mechanical ventilation strategies to reduce CO 2 volume concentration.
3.Indoor environment management and CO 2 volume concentration of primary and secondary school classrooms in winter across three provinces and municipalities of China
Chinese Journal of School Health 2026;47(2):163-167
Objective:
To evaluate the classroom environmental management and CO 2 volume concentration in primary and secondary schools from Liaoning, Tianjin, and Shanghai, thereby providing a scientific basis for developing targeted strategies to improve classroom air quality.
Methods:
From December 16 to 26, 2024, by using stratified random cluster sampling method, the questionnaire survey was conducted in 72 primary and secondary schools (24 each of primary, junior high, and regular high schools) across Liaoning, Tianjin and Shanghai. Information on heating, ventilation and other classroom environmental management was collected. Additionally, 108 classrooms were selected for on site microclimate measurements, including temperature, humidity, wind speed and CO 2 volume concentration. Univariate analysis and multiple linear regression models were employed to explore related factors of classroom CO 2 volume concentration.
Results:
Among the three provinces/municipalities, 20.8% of schools regularly monitored the microclimate. The overall compliance rate for classroom CO 2 volume concentration was 17.6%. Multiple linear regression analysis showed that CO 2 volume concentration in regular and junior high school classrooms were higher than in primary school classrooms ( β=0.067, 0.046, 95%CI =0.036-0.099, 0.013-0.080); classrooms ventilated regularly in the morning and afternoon had higher CO 2 volume concentration than those ventilated during every break between classes ( β=0.043, 95%CI = 0.007- 0.080); both temperature ( β=0.010, 95%CI =0.004-0.016) and humidity ( β=0.003, 95%CI =0.002-0.004) were positively correlated with CO 2 volume concentration (all P <0.05).
Conclusions
Excessive CO 2 volume concentration in primary and secondary school classrooms is a prominent issue, and ventilation frequency is a key intervenable factor for controlling CO 2 levels. It is recommended to promote ventilation during every break between classes as a core management measure and to emphasize air quality supervision in regular high school classrooms.
4.Analysis of thermal environment and students thermal comfort in primary and secondary school classrooms in winter
Chinese Journal of School Health 2026;47(2):168-172
Objective:
To evaluate the current situation of thermal environment in primary and secondary school classrooms during winter, and to analyze students thermal comfort needs, so as to provide a basis for improving classroom thermal environment.
Methods:
From December 16 to 26, 2024, a stratified cluster random sampling method was used to select 90 classrooms from 15 primary and secondary schools in centralized/air conditioned heating areas(Liaoning Province, Tianjin City, Shanghai City) and naturally ventilated areas(Anhui Province and Jiangxi Province)for on site environmental measurement. A questionnaire survey was conducted among 743 students. The differences between groups using the χ 2 test were compared. Based on actual measurement data, a predicted mean vote prepared percentage of dissatisfied (PMV-PPD) model for centralized/air conditioned classrooms and an adaptive model for naturally ventilated classrooms were established, and the thermal neutral temperature and comfort interval were calculated.
Results:
The average outdoor temperature during on site measurement was 4.00(0.20,7.00)℃. In classrooms with centralized or air conditioned heating systems, the measured average temperature was (19.33±2.59)℃, with a thermal comfort range of 20.35-25.35 ℃ and a thermal neutral temperature of 22.85 ℃. And 13.92% of students reported feeling cold, while 80.80% felt comfortable. In classrooms with natural ventilation, the measured average temperature was (12.26±1.83)℃, with a thermal neutral temperature of 19.67 ℃ and a thermal comfort range of 16.17-23.17 ℃. About 48.33% of students reported feeling cold, and 49.81 % felt comfortable.The results of univariate analysis showed that there were statistically significant differences in shoe thickness, temperature sensation, relative humidity sensation and wind speed sensation between centralized/air conditioned heating areas ( χ 2= 7.01 , 31.47, 13.57, 13.80,all P <0.05). There were also statistically significant differences in school stage for primary and secondary school students, body mass index, classroom location for seat, temperature sensation, relative humidity sensation and wind speed sensation between naturally ventilated areas ( χ 2=42.13, 11.13, 11.04, 60.39, 29.27, 38.46,all P <0.05).
Conclusions
There are differences in thermal environment and students subjective thermal comfort in primary and secondary schools under different ventilation modes in winter. The temperature standards for heated classrooms should be revised, and differentiated environmental regulation strategies should be adopted based on different ventilation methods to improve students health and comfort levels.
5.Effects of leonurine on myocardial injury in rats with coronary heart disease by regulating the GAS6/Axl signaling pathway
Wangtao MENG ; Dongling CUI ; Dongjing WU ; Chao CHEN ; Yingying ZHANG
China Pharmacy 2025;36(1):51-56
OBJECTIVE To explore the effects of leonurine on growth arrest-specific protein-6 (GAS6)/Axl signaling pathway, and clarify its mechanism of alleviating myocardial injury in rats with coronary heart disease. METHODS The rat model of coronary heart disease was constructed; successfully modeled rats were randomly separated into model group, leonurine low- dose and high-dose groups (intragastric administration of leonurine 25, 100 mg/kg+intraperitoneal injection of normal saline 75 mg/kg), and leonurine high-dose+GAS6/Axl signaling pathway inhibitor group (intragastric administration of leonurine 100 mg/kg+ intraperitoneal injection of R428 75 mg/kg), with 12 rats in each group. Additional 12 normal rats were selected as control group. Each administration group was given relevant medicine; control group and model group were given a constant volume of normal saline intragastrically and intraperitoneally, once a day, for 48 consecutive days. After administration, the heart function of rats, and serum levels of inflammatory factors and myocardial injury markers were detected; the pathological morphology of myocardial tissue was observed; the myocardial cell apoptosis rate, the expressions of apoptosis and GAS6/Axl signaling pathway-related proteins were determined. RESULTS Compared with control group, model group showed disorders in the arrangement of myocardial cells and myocardial fibers, hypertrophy of myocardial cells, and nuclear condensation; left ventricular ejection fraction, left ventricular fractional shortening, ratio of early-diastolic and late-diastolic motion velocity of the mitral ring, the protein expression of GAS6, B-cell lymphoma 2/B-cell lymphoma 2 associated X protein and phosphorylated Axl/Axl ratios were decreased significantly (P<0.05). The levels of tumor necrosis factor-α, interleukin-1β, interleukin-6, creatine kinase isoenzyme, troponin Ⅰ and myoglobin, the cell apoptosis rate, and cleaved caspase-3/caspase-3 ratio were increased significantly (P<0.05). Leonurine could obviously improve the above pathological conditions and detection indicators (P<0.05), and the effect of leonurine high-dose group was more significant than that of leonurine low-dose group (P<0.05); R428 treatment could reverse the ameliorating effect of high-dose of leonurine on myocardial injury in rats with coronary heart disease (P<0.05). CONCLUSIONS Leonurine can alleviate myocardial injury in rats with coronary heart disease, and its mechanism of action is related to the activation of the GAS6/Axl signaling pathway.
6.Application progress and challenges of artificial intelligence in organoid research
Hongji WU ; Haixia WANG ; Ling WANG ; Xiaogang LUO ; Dongling ZOU
China Oncology 2024;34(2):210-219
Organoids,recognized as invaluable models in tumor and stem cell research,assume a pivotal role in the meticulous analysis of diverse datasets pertaining to their growth dynamics,drug screening processes and related phenomena.However,the manual scrutiny and conventional statistical methodologies employed in handling organoid data often grapple with challenges such as diminished precision and efficiency,heightened complexity,escalated human resource requirements,and a degree of subjectivity.Acknowledging the remarkable efficacy of artificial intelligence(AI)in the realms of biology and medicine,the incorporation of AI into organoid research stands poised to enhance the objectivity,precision and expediency of analyses.This integration empowers organoids to more effectively fulfill objectives such as disease modeling,drug screening and precision medicine.Notably,significant strides have been made in AI-driven analyses of organoid image data.The amalgamation of deep learning into image analysis facilitates a more meticulous delineation of the microstructural intricacies and nuanced changes within organoids,achieving a level of accuracy akin to that of experts.This not only elevates the precision of organoid morphology and growth recognition,but also contributes to substantial time and cost savings in research endeavors.Furthermore,the infusion of AI technology has yielded breakthroughs in the processing of organoid omics data,resulting in heightened efficiency in data processing and the identification of latent gene expression patterns.This furnishes novel tools for comprehending cellular development and unraveling the intricate mechanisms underlying various diseases.In addition to image data,AI techniques applied to diverse organoid datasets,encompassing electrical signals and spectra,have realized an unbiased classification of organoid types and states,embarking on a comprehensive journey towards characterizing organoids holistically.In the pivotal domain of drug screening for organoids,AI emerges as a stalwart companion,providing robust support for real-time process monitoring and result prediction.Leveraging high-content microscopy images and sophisticated deep learning models,researchers can dynamically monitor organoid responses to drugs,effecting non-invasive detection of drug impacts and amplifying the precision and efficiency of drug screening processes.Despite the significant strides made by AI in organoid research,challenges persist,encompassing hurdles in data acquisition,constraints in sample quality and quantity,and quandaries associated with model interpretability.Overcoming these challenges necessitates dedicated future research efforts aimed at enhancing data consistency,fortifying model interpretability,and exploring methodologies for the seamless fusion of multimodal data.Such endeavors are poised to usher in a more comprehensive and dependable application of AI in organoid research.In summation,the integration of AI technology introduces unparalleled opportunities to organoid research,resulting in noteworthy advancements.Nevertheless,interdisciplinary research and collaborative efforts remain imperative to navigate challenges and propel the more profound integration of AI into organoid research.The future holds promise for AI to assume an even more prominent role in advancing organoid research toward clinical translation and precision medicine.
7.Construction of training indexes of post competency of dental hygienist
You WU ; Dongling LIU ; Wenjuan CHANG ; Hua YANG
Chinese Journal of Practical Nursing 2023;39(14):1059-1065
Objective:To construct training indexes of post competency of dental hygienist, and to provide objective basis for the establishment of the index system of the transition from dental nurse to dental hygienist in the future.Methods:The relevant literature of post competency of dental hygienist was searched from the databases such as PubMed, Medline, Web of Science, China National Knowledge Internet, Wanfang database. The search time was from the establishment of the database to March 2021. The expert letter inquiry questionnaire was designed through preliminary consultation.Delphi expert consultation was conducted for 20 dental experts from Beijing city, Chongqing city, Jiangsu province, Sichuan province, Jilin province from May to November 2021, and model indexes and weight assignment of post competency of dental hygienist were determined.Results:Three rounds of Delphi expert consultation were conducted, the effective recoveries of the questionnaires were 100%, the expert authority coefficients were 0.81, 0.81, 0.83, respectively, the coefficient of variation of expert consultation was 0.000-0.386, 0.000-0.300 and 0.000-0.250, respectively, the coordination degree of expert opinions in the third round of consultation was 0.679, 0.428 and 0.389 (all P<0.01). The formed training indexes of post competency of dental hygienist included 4 first-level indexes, 20 second-level indexes and 60 third-level indexes. Conclusions:The training index system of post competency of dental hygienist in this study is scientific, reliable, and practical, to provide reference for training and assessment of post competency of dental hygienist and objective basis for establishing the indexes system of dental nurse to dental hygienist in the future.
8.Visual analysis of oral nursing research hot-spots based on Web of Science
You WU ; Dongling LIU ; Lixin BIAN ; Hua YANG
Chinese Journal of Health Management 2022;16(4):271-275
Objective:To find out the hot-spot issues in the field of oral nursing.Methods:The bibliometric, classified statistics and CiteSpace visualized analysis methods were used to describe the current situation of papers publication in this field, the characteristics of core authors, highly cited papers and important burst terms and the co-occurrence map of key words by collecting oral nursing related papers of Web of Science published from January 1, 1999 to December 31, 2019.Results:A total of 1 645 literatures were obtained. It experienced growth of the total amount of the published articles and citation. The USA had the largest number of research papers and China ranked the thirteenth, 10 journals including British Dental Journal published 53.25% of the SCI papers about oral nursing. Most articles were published on journals with impact factor ranging 1-2. The de Baat C research team was the most influential. The articles of oral nursing research focused on the oral health, care, quality of life, prevention, health, prevalence, oral hygiene, oral care, nursing, children, risk and so on. The analysis of burst terms found that the frontiers of oral nursing research focus on oral care, quality of life, health and so on.Conclusion:The hot-spot directions of oral nursing research are family oral care solution of specific people and the help of teledentistry for oral health care.
9.Therapeutic effect of anterograde flexible ureteroscopy on treament of upper -middle ureteral calculi
Chaoyang YE ; Yi CHEN ; Weiwu WU ; Jie LI ; Ming LI ; Wengang LIU ; Guangfa KONG ; Zhirong WU ; Yongxuan MO ; Mei LI ; Dongling ZHU
Chinese Journal of Primary Medicine and Pharmacy 2016;23(21):3248-3251
Objective To identify the therapeutic effect and safety of anterograde flexibleureteroscopy on the treatment of upper -middle ureteral calculi.Methods The clinical data of 47 patients who underwent anterograde flexible ureteroscopy for the treatment of upper -middle ureteral calculi in our center were retrospectively reviewed. During the 47 patients,28 cases were men,19 cases were women.Age ranged from 20 to 68 years.The diameter of calculi ranged from 8 to 22mm(mean =14 mm).Results The flexible ureteroscopic lithotripsy procedure were successful in all the cases.The mean operative time was (65.3 ±8.5)min.The mean hospital stay was 8 days.The average blood loss was less than 50mL.The initial stone -free rate was 93.62%(44 /47).No severe complications occurred intraoperative and postoperative.Conclusion Anterograde flexible ureteroscope has good therapeutic effect in treating upper -middle ureteral calculi.It is safe and effective procedure,with less complication and a high calculus removing rate.The surgical methods is worthy of clinical application.
10.Reliability and validity of the scale of hurting factors participation for mental disorders
Yi LI ; Yubing TANG ; Xuewu LI ; Yi WANG ; Dongling WU ; Beiling GAO
Chinese Journal of Behavioral Medicine and Brain Science 2015;24(7):655-658
Objective To test reliability and validity on the scale of hurting factors participation for mental disorders (SHFP-MD).Methods 402 cases were retrospectively evaluated by SHFP-MD from 13 forensic psychiatric appraisal agencies in China,and all cases were involved causal relationships in mental injury from July 2010 to June 2012.42 cases were evaluated a month later again.13 raters evaluated respectively for five cases.52 cases involved causal relationship of mental impairment were evaluated prospectively in January 2013 to June 2014.The validity of the scale was tested by experts assessed as a criterion level of relationship.Results ①The retest correlation coefficient on all items of SHFP-MD were between 0.746-0.989,and the time reliability of test-retest on the full scale score was 0.970 interval of one month.Raters reliability between 0.57 to 1.00; overall average reliability was 0.84 (P<0.01).②The total coincidence rate was 90.4%-91.0% between the demarcation scores of SHFP-MD and the grade identification of forensic psychiatrists respectively and prospectively(P>0.05).Conclusion SHFP-MD has good reliability and validity,and met the basic requirements of scale assessment.


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