Objective: To investigate the prevalence and associated factors of depressive symptoms among junior and senior high school students in Beijing from 2019 to 2023, in order to provide a scientific basis for interventions targeting high risk groups. Methods: From 2019 to 2023, a stratified cluster random sampling method was used to select 88 927 junior and senior high school students from 16 districts in Beijing. The Center for Epidemiologic Studies Depression Scale(CES-D) was conducted to assess depressive symptoms. The Chi square test was used to compare the detection rates of depressive symptoms among different student groups, and the trend Chi square test was employed for trend analysis of detection rates across the years. Multivariate Logistic regression analysis was applied to examine the association between the detection of depressive symptoms and related factors among junior and senior high school students. Results: From 2019 to 2023, the prevalence rates of depressive symptoms among junior and senior high school students in Beijing were 20.45%, 18.19%, 16.64%, 17.89% and 18.17%, respectively, with an overall downward trend ( χ 2 trend =27.51, P <0.01). Multivariate Logistic regression analysis revealed that after adjusting for gender, monitoring year, educational stage,family structure,boarding status and has taken a medical leave of absence in the past year unhealthy dietary behaviors ( OR=1.80, 95%CI =1.73-1.87), physical inactivity ( OR=1.24, 95%CI =1.19-1.29), try smoking ( OR=1.46, 95%CI =1.35-1.58), try alcohol( OR=1.96, 95%CI =1.88-2.05), Internet addiction ( OR=3.88, 95%CI =3.57-4.22), and adverse ear related behavior ( OR=1.82, 95%CI =1.71-1.93) were all associated with an increased risk of depressive symptoms among junior and senior high school students (all P <0.05). Conclusions The prevalence depression symptoms among middle school students in Beijing showed a fluctuating downward trend from 2019 to 2023. Targeted interventions should be adopted to reduce the occurrence of depression symptoms among junior and senior high school students.

Objective: To understand the trends of classroom lighting and illumination of primary and secondary schools in Beijing from 2016 to 2023, so as to provide a scientific basis for targeted improvement measures. Methods: A sampling survey was conducted on the lighting and illumination indicators of 8 390 classrooms in primary and secondary schools in Beijing from 2016 to 2023. The survey included classroom daylight factor, window to floor area ratio, average illuminance and illuminance uniformity on the desks, average illuminance and illuminance uniformity on blackboards, as well as classroom lighting and blackboard illumination sources. Intergroup comparisons were performed using the Kruskal-Wallis H test and the Chi square test, and Spearman correlation analysis was used to examine the trend of classroom lighting and illumination changes. Results: Except the window to floor area ratio, the measured values and compliance rates of all lighting and illumination indicators showed an overall upward trend from 2016 to 2023 (daylight factor r = 0.27, χ 2 trend =206.80, average illuminance on the desk surface r =0.30, χ 2 trend =87.97, illuminance uniformity on the desk surface r =0.14, χ 2 trend =73.59, average illuminance on the blackboard r =0.33, χ 2 trend =477.43, illuminance uniformity on the blackboard r = 0.09, χ 2 trend =50.76) (all P ＜0.01). The lighting and illumination indicators of classrooms (included classroom daylight factor, average illuminance and illuminance uniformity on the desks, average illuminance and illuminance uniformity on blackboards) in urban schools, primary schools, and secondary schools from 2016 to 2023 showed an upward trend (urban r =0.23-0.40, χ 2 trend =88.66-392.18; primary school r =0.12-0.36, χ 2 trend =39.50-281.44; secondary schools r =0.06-0.31, χ 2 trend =11.79-213.73) (all P ＜ 0.01 ). The illuminance uniformity on the blackboard in suburban schools showed a downward trend ( r = -0.09, χ 2 trend =31.53, both P ＜0.01). The illuminance uniformity on the desk surface in suburban schools showed no significant change ( r =0.03, χ 2 trend =1.23, both P ＞0.05). The other indicators showed an upward trend (daylight factor r =0.28, χ 2 trend =40.69, average illuminance on the desk surface r =0.24, χ 2 trend =16.35, average illuminance on the blackboard r =0.25, χ 2 trend =118.05, all P ＜0.01). The trends of classroom and blackboard illumination sources were that fluorescent lamps decreased year by year and LED lamps increased by year (classroom illumination sources χ 2 trend =1 059.82, blackboard illumination sources χ 2 trend =1 070.25, both P ＜0.01). Conclusions The classroom lighting and illumination in primary and secondary schools in Beijing has shown an overall improving trend from 2016 to 2023. However, problems remain, such as limited improvement of illuminance uniformity indicators, late start and poor effect of reconstruction in suburban schools. Further improvements are still needed.

Objective To explore the effect of fine particulate matter (PM_2.5) in Taiyuan City on short-term pulmonary function in elderly patients with chronic obstructive pulmonary disease (COPD). Methods Among the 1 015 elderly COPD patients admitted to the respiratory departments of five general hospitals in Taiyuan City from December 2021 to December 2023 were retrospectively selected for research; medical records, air pollutant data and meteorological data were analyzed; the relationship between PM_2.5 and lung function indicators and air pollutants was analyzed; the impact of PM_2.5 on lung function and its lag effect were analyzed; the cumulative effect of PM_2.5 concentration on the risk of pulmonary ventilation dysfunction was analyzed; The influence of gender and age on the relationship between PM_2.5 and patients ' short-term pulmonary function was analyzed. Results PM_2.5, respirable particulate matter (PM₁₀), sulfur dioxide (SO₂), carbon monoxide (CO) were negatively correlated with average temperature and average humidity (P<0.05) ; Nitrogen dioxide (NO₂), ozone (O₃) were negatively correlated with average temperature (P<0.05) ; There was a positive correlation among PM_2.5, PM₁₀, SO₂, CO, NO₂, and O₃ (P<0.05) ; Elevated PM_2.5 is an independent risk factor for decreased lung function and increased air pollutants (P<0.05) ; At lag0 and lag1, PM_2.5 concentration was negatively correlated with lung function in a dose-response manner (P<0.05); daily average PM_2.5 concentration at lag0 was a dangerous effect (P<0.05). Conclusion The impact of PM_2.5 concentration on lung function has a certain time lag. An increase in PM_2.5 concentrations can lead to a decline in lung function.

Objective: To investigate the implementation and evaluate the effectiveness of health management services for patients with type 2 diabetes mellitus (T2DM) in Urumqi City from 2017 to 2021, so as to provide the reference for enhancing T2DM patients management. Methods: Data on the rates of record establishment, health management and standardized management for T2DM patients, and blood glucose control rate in managed patients in Urumqi City from 2017 to 2021 were collected through the quarterly reports on basic public health service management from the Weining Health Platform System. The trends in the four management indicators, and the differences between urban and rural areas were analyzed. Results: The rates of record establishment, health management and blood glucose control rate in managed patients in Urumqi City were 46.94%, 38.37% and 59.92%, respectively, showing upward trends from 2017 to 2021 (all P<0.05). The rate of standardized management was 75.89%, showing a downward trend (P<0.05). The rate of record establishment was higher in urban areas than in rural areas (47.76% vs. 40.56%, P<0.05). The rates of standardized management and blood glucose control in managed patients were lower in urban areas than in rural areas (75.18% vs. 81.46%, 58.93% vs. 67.64%, both P<0.05). The rate of health management was 38.39% in urban areas and 38.24% in rural areas, with no statistically significant difference (P>0.05). The trends in the rates of record establishment, health management and standardized management in both urban and rural areas were consistent with those in the overall population. Conclusions From 2017 to 2021, the rates of record establishment, health management and blood glucose control in managed patients in Urumqi City showed upward trends, while the rate of standardized management exhibited a downward trend. There were urban-rural differences in the rates of record establishment, standardized management and blood glucose control in managed patients.

Cough is a very common symptom causing medical consult. Several remedies are readily available in the market however these are currently not recommended among the pediatric population due to a few reasons which include the benign nature of acute cough, limited effectivity and lack of support from the United States Food and Drug Administration (USFDA) due to abuse potential.

We report a case of a 2-year-old male, no known co-morbidities with a 2 week history of upper respiratory tract infection. Initial assessment showed viral infection hence patient was given medications for symptomatic treatment. However, l week after, patient still presented with symptomatic persistent coughing that disrupted his activities of daily living, hence antitussive medication was already prescribed. After another 7 days, there was still persistence of symptoms, hence patient was given a trial medication of Pregabalin 0.7 milligram/kg/dose which noted instant cough relief one hour after the initial intake. Patient also reported to be more playful, improved sleep at night and improved appetite. Patient received total of 2 doses of Pregabalin in the span of 48 hours. On the third day, patient was still coughing but reported to be significantly less frequent and more productive, hence medication was then put on hold. Patient continuously improved after 5 more days and was eventually cough free.

This case report demonstrates the adequacy of Pregabalin as a supportive antitussive medication in a patient with an acute cough secondary to a viral infection.

Background: Fasting guidelines have long recommended that patients can have clear fluids until 2 h prior to surgery. Multiple audits in our institution showed that patients had prolonged fluid fasting duration, despite being given preoperative instructions. This paper presents the results of audits in our institution relating to fasting since 2004 and the outcome of interventions undertaken. Methods: Audits conducted in 2004, 2008, 2018, 2021, and 2022 were reviewed, with a focus on fasting duration for clear fluids. Interventions that led to significant improvements were identified. Results: The median fasting duration for clear fluids was 8 h, 8 h 42 min, and 7 h 42 min in 2004, 2008, and January 2018, respectively. The approach of giving patients a ‘welcome drink’ of water and allowing sips of water up to the time of being called upon to the theater was introduced in 2018 (Think Drink). This resulted in dramatic reduction of fasting duration to 2 h 15 min. However, repeat audit in 2021 showed slippage requiring additional interventions in the form of staff education for newcomers and reinforcement at staff huddles that reduced the fasting duration down to 2 h. There were no instances of aspiration or regurgitation after the introduction of Think Drink. Conclusions Allowing sips of water until being called to the theater with a Think Drink approach successfully reduced unnecessary fasting by patients. Staff and patient education were also required to sustain success. Fasting duration should be considered a ‘Quality of Service Indicator’ and periodic audit should be mandated.

Objectives: This study proposes a mobile-based explainable artificial intelligence (XAI) platform designed for diagnosing febrile illnesses. Methods: We integrated the interpretability offered by local interpretable model-agnostic explanations (LIME) and the explainability provided by generative pre-trained transformers (GPT) to bridge the gap in understanding and trust often created by machine learning models in critical healthcare decision-making. The developed system employed random forest for disease diagnosis, LIME for interpretation of the results, and GPT-3.5 for generating explanations in easy-to-understand language. Results: Our model demonstrated robust performance in detecting malaria, achieving precision, recall, and F1-scores of 85%, 91%, and 88%, respectively. It performed moderately well in detecting urinary tract and respiratory tract infections, with precision, recall, and F1-scores of 80%, 65%, and 72%, and 77%, 68%, and 72%, respectively, maintaining an effective balance between sensitivity and specificity. However, the model exhibited limitations in detecting typhoid fever and human immunodeficiency virus/acquired immune deficiency syndrome, achieving lower precision, recall, and F1-scores of 69%, 53%, and 60%, and 75%, 39%, and 51%, respectively. These results indicate missed true-positive cases, necessitating further model fine-tuning. LIME and GPT-3.5 were integrated to enhance transparency and provide natural language explanations, thereby aiding decision-making and improving user comprehension of the diagnoses. Conclusions The LIME plots revealed key symptoms influencing the diagnoses, with bitter taste in the mouth and fever showing the highest negative influence on predictions, and GPT-3.5 provided natural language explanations that increased the reliability and trustworthiness of the system, promoting improved patient outcomes and reducing the healthcare burden.