Objective: To explore the association between mental health and muscle strength among Chinese adolescents aged 13- 18, providing a theoretical foundation and intervention strategies for mental health promotion. Methods: Data were obtained from the 2019 Chinese National Survey on Students Constitution and Health, including 98 631 Chinese adolescents aged 13- 18. Psychological distress was assessed by using the Kessler Psychological Distress Scale (K10), and mental well being was measured with the Warwick-Edinburgh Mental Well being Scale (WEMWBS). Based on the gender and age specific Z scores of various test items [grip strength, standing long jump, pull ups (for males), and sit ups (for females)], muscle strength index (MSI) was constructed to evaluate the comprehensive level of muscle strength in adolescents. According to the Dual factor Model (DFM) of mental health, participants were categorized into four groups:troubled, symptomatic but content, vulnerable, and complete mental health. Gender differences were analyzed by using Chi-square tests, trends were tested with Cochran-Armitage tests, and multinomial Logistic regression models were applied to assess associations between muscle strength and mental health among adolescents. Results: In 2019, 37.4% of Chinese adolescents aged 13-18 were reported of high mental distress, and 59.9% were reported of low mental well being. Boys had significantly lower rates of high mental distress (35.3%) and low mental well being (55.6%) compared to girls (39.4%, 64.3%), and the differences were of statistical significance ( χ 2=176.13, 780.42, both P <0.05). In 2019, the rate of complete mental health among adolescents showed a downward trend with increasing age ( χ 2 trend = 258.47) and a gradual upward trend with increasing muscle strength levels ( χ 2 trend =123.14)，and both boys and girls exhibited similar trends ( χ 2 trend =103.83, 168.46; 57.00 , 67.34) (all P <0.05). The results of the unordered multiclass Logistic regression model showed that after controlling for confounding factors such as age and gender, when the completely pathological group as a reference, for every 1 unit increase in MSI in adolescents, the likelihood of being in a completely mental health state increased by 29% ( OR = 1.29); for every unit increase in the Z-score for pull ups, the likelihood of being in a completely mental health state increased by 6% ( OR =1.06) among boys; for every 1 unit increase in sit up Z score, the likelihood of being in a completely mental health state increased by 19% ( OR =1.19) among girls (all P <0.05). Conclusions The mental health status of Chinese adolescents is not good enough. Muscle strength is positively associated with mental health.

Objective: To systematically review the development and changes in mental health policies within the National Outline for Children s Development in China from 1992 to 2030, providing a reference basis for future formulation of mental health policies among children and adolescent in China. Methods: Based on the four editions of the National Outline for Children s Development in China across different periods from 1992 to 2030, word frequency analysis was used to reveal shifts in policy priorities, and an internationally recognized framework for adolescent health policy analysis was applied to conduct a textual review. Results: Word frequency analysis revealed that the term "psychological" appeared 6 times in the National Outline for Children s Development in China (2001-2010) but increased to 20 times in the National Outline for Children s Development in China (2021-2030) (abbreviated as the National Outline of 2021), while the term "health" rose from 4 times in the National Outline for Children s Development Plan in China in the 1990s to 68 times in the National Outline of 2021. The scope of mental health policy interventions expanded to encompass five key areas:health, safety, education, welfare and legal protection. Textual analysis highlighted that the policies of the National Outline for Children s Development in China were demand driven, prioritized vulnerable groups and continuously broadened their coverage, emphasizing sustainability and appropriateness, and monitoring/evaluation mechanisms. By 2023, 42.3% of primary schools and 64.8% of secondary schools employed full time mental health education teachers. However, the National Outline for Children s Development in China lacked direct evidence of children and adolescents participation in policy formulation, and publicly available mental health data disaggregated by age and gender remained limited. Conclusion Mental health policies of children and adolescents in China have evolved from nonexistence to gradual refinement, yet institutionalized channels for youth involvement in policy development and evaluation remain insufficient, and transparency in age and gender specific mental health data needs improvement.

Objective: To explore the distribution of traditional Chinese medicine (TCM) syndromes in patients with interstitial lung disease (ILD) and its influencing factors. Methods: This cross-sectional study included 385 patients with ILD admitted to the First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine) from January 2018 to June 2022. Data on sex, age, body mass index, smoking history, respiratory rate, hospitalization time, treatment cost, whether velcro rales can be heard, comorbidities with rheumatic immune diseases, TCM four examination information, and clinical examination results, including CT imaging, D-dimer level, and lung function-related indicators, were collected. The distribution pattern of TCM syndromes in patients with ILD and the association between TCM syndromes and clinical indicators were analyzed using the cluster analysis and binary Logistic regression analysis. Results: Among the 385 patients with ILD, sticky phlegm (59.74%) and shortness of breath (56.10%) were common symptoms, while greasy tongue coating (55.32%), red tongue (52.73%), and slippery and rapid pulse (25.71%) were common tongue and pulse manifestations. The patients were divided into five syndromes using cluster analysis: syndrome of phlegm-heat stagnation in the lung (36.62%), syndrome of turbid phlegm obstructing lung (29.35%), syndrome of deficiency of both qi and yin (12.99%), syndrome of qi deficiency of lung and kidney (11.95%), and syndrome of phlegm and blood stasis obstructing lung (9.09%). The D-dimer level was lower in patients with syndrome of phlegm-heat stagnation in the lung, syndrome of turbid phlegm obstructing lung, syndrome of deficiency of both qi and yin, and syndrome of qi deficiency of lung and kidney than in those with syndrome of phlegm and blood stasis obstructing lung (P<0.05). The percentage of predicted forced vital capacity (FVC%pred) of patients with syndrome of phlegm-heat stagnation in the lung, syndrome of turbid phlegm obstructing lung, syndrome of deficiency of both qi and yin, and syndrome of phlegm and blood stasis obstructing lung was higher than in those with syndrome of qi deficiency of lung and kidney (P<0.05). Among patients aged 60 and above, those with syndrome of phlegm-heat stagnation in the lung, syndrome of phlegm and blood stasis obstructing lung, and syndrome of deficiency of both qi and yin containing dual pathogenic syndrome elements were more likely to experience moderate to severe pulmonary diffusion impairment than those with syndrome of turbid phlegm obstructing lung and syndrome of qi deficiency of lung and kidney containing single pathogenic syndrome elements (P<0.05). The Logistic regression showed that the FVC%pred was an influential factor for syndrome of qi deficiency of lung and kidney, and the area under the receiver operating characteristic (ROC) curve (AUC) between FVC%pred and the formation of syndrome of qi deficiency of lung and kidney was 0.676 (95%CI: 0.598-0.755), P=0.002. The sensitivity was 0.431, the specificity was 0.966, and the best threshold on the ROC curve of 0.397 was 79.1%. The D-dimer level was an influential factor in the formation of syndrome of phlegm and blood stasis obstructing lung. The AUC between D-dimer level and the formation of syndrome of phlegm and blood stasis obstructing lung was 0.729 (95%CI: 0.655-0.802), P<0.001. The sensitivity was 0.914, the specificity was 0.523, and the best threshold on the ROC curve of 0.437 was 0.675 mg/L. Conclusion syndrome of phlegm-heat stagnation in the lung and syndrome of turbid phlegm obstructing lung are common among patients with ILD. Complex pathological syndromes are more likely to exacerbate pulmonary diffusion dysfunction. The FVC%pred can assist in differentiating syndrome of qi deficiency of lung and kidney, whereas the D-dimer level can assist in differentiating syndrome of phlegm and blood stasis obstructing lung.

Idiopathic pulmonary fibrosis (IPF), a chronic interstitial lung disease, is characterized by aberrant wound healing, excessive scarring and the formation of myofibroblastic foci. Although the role of alternative splicing (AS) in the pathogenesis of organ fibrosis has garnered increasing attention, its specific contribution to pulmonary fibrosis remains incompletely understood. In this study, we identified an up-regulation of serine/arginine-rich splicing factor 7 (SRSF7) in lung fibroblasts derived from IPF patients and a bleomycin (BLM)-induced mouse model, and further characterized its functional role in both human fetal lung fibroblasts and mice. We demonstrated that enhanced expression of Srsf7 in mice spontaneously induced alveolar collagen accumulation. Mechanistically, we investigated alternative splicing events and revealed that SRSF7 modulates the alternative splicing of pyruvate kinase (PKM), leading to metabolic dysregulation and fibroblast activation. In vivo studies showed that fibroblast-specific knockout of Srsf7 in conditional knockout mice conferred resistance to bleomycin-induced pulmonary fibrosis. Importantly, through drug screening, we identified lomitapide as a novel modulator of SRSF7, which effectively mitigated experimental pulmonary fibrosis. Collectively, our findings elucidate a molecular pathway by which SRSF7 drives fibroblast metabolic dysregulation and propose a potential therapeutic strategy for pulmonary fibrosis.

Objective:To understand the relevant situation of people seeking tattoo removal in laser cosmetic clinics.Methods:A face-to-face questionnaire survey was conducted among respondents seeking tattoo removal who visited the Laser Cosmetic Clinic of the Provincial Hospital Affiliated to Shandong First Medical University from June 2021 to May 2022. The questionnaire survey content included 4 categories and a total of 30 questions: basic information of the tattoo respondents, tattoo-related situations, respondents’ cognition of tattoos, and tattoo removal needs. The questionnaire responses were statistically analyzed, and differences were analyzed according to the gender, age of the tattoo respondents, and educational level at the time of tattooing. Descriptive statistical analysis was conducted on the general information of the questionnaire; Mantel-Haenszel chi-square test or Pearson’s chi-squared test were used for the analysis of the difference in the composition ratio of each data.Results:A total of 150 questionnaires were distributed and 142 valid questionnaires were collected. There were 81 male and 61 female tattoo respondents, with an age of (21.8±4.9) years (13-41 years). The result of the survey showed that 52.8%(75/142) of the respondents were minors (<18 years old) at the time of tattooing, and 97.2%(138/142) were <24 years old at the time of tattooing; 67.6% (96/142) regretted the act of tattooing; 73.2%(104/142) of the respondents themselves asked for the removal of tattoos; who removed their tattoos for personal development (joining the army, working, studying) was 68.3%(97/142); only 23.2%(33/142) of the respondents understood the harms of tattoos; and 21.8%(31/142) of the respondents suffered from adverse reactions after getting tattoos. The percentage of respondents who hid their tattoos from their family members was 82.4%(117/142); the percentage of respondents whose family members approved of the tattoos was only 25.4%(36/142). Analysis of variance showed that there was no correlation between the education level of the respondents and their knowledge of the tattoo risks( P>0.05); the reasons for removing tattoos were correlated with the age and gender of the respondents at the time of consultation ( P<0.01); the size of tattoos was correlated with the gender of the respondents ( P<0.01) and the female respondents were more inclined to choose a small tattoo; the age of tattooing of the respondents was correlated with the level of education of the respondents when they had tattooed themselves ( P<0.01), the proportion of tattoos aged <18 years old was highest among respondents with junior high school education at the time of tattooing [76.2%(32/42)], and this proportion tended to decrease significantly as the education level at the time of tattooing increased. Conclusion:The respondents seeking tattoo removal in the laser cosmetic clinic are mainly teenagers. About half of the respondents were minors at the time of tattooing, and most of them were not aware of the tattoo risks. There is a certain correlation between the age of the respondents and their educational background at the time of tattooing. There are certain differences in the reasons for removing tattoos among respondents depending on gender and age. There is no correlation between the educational background of the respondents and their understanding of the tattoo risks.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.

Objective To identify the biomarkers for early rheumatoid arthritis(RA)diagnosis and explore the possible immune regulatory mechanisms.Methods The differentially expressed genesin RA were screened and functionally annotated using the limma,RRA,batch correction,and clusterProfiler.The protein-protein interaction network was retrieved from the STRING database,and Cytoscape 3.8.0 and GeneMANIA were used to select the key genes and predicting their interaction mechanisms.ROC curves was used to validate the accuracy of diagnostic models based on the key genes.The disease-specific immune cells were selected via machine learning,and their correlation with the key genes were analyzed using Corrplot package.Biological functions of the key genes were explored using GSEA method.The expression of STAT1 was investigated in the synovial tissue of rats with collagen-induced arthritis(CIA).Results We identified 9 core key genes in RA(CD3G,CD8A,SYK,LCK,IL2RG,STAT1,CCR5,ITGB2,and ITGAL),which regulate synovial inflammation primarily through cytokines-related pathways.ROC curve analysis showed a high predictive accuracy of the 9 core genes,among which STAT1 had the highest AUC(0.909).Correlation analysis revealed strong correlations of CD3G,ITGAL,LCK,CD8A,and STAT1 with disease-specific immune cells,and STAT1 showed the strongest correlation with M1-type macrophages(R=0.68,P=2.9e-08).The synovial tissues of the ankle joints of CIA rats showed high expressions of STAT1 and p-STAT1 with significant differential expression of STAT1 between the nucleus and the cytoplasm of the synovial fibroblasts.The protein expressions of p-STAT1 and STAT1 in the cell nuclei were significantly reduced after treatment.Conclusion CD3G,CD8A,SYK,LCK,IL2RG,STAT1,CCR5,ITGB2,and ITGAL may serve as biomarkers for early diagnosis of RA.Gene-immune cell pathways such as CD3G/CD8A/LCK-γδ T cells,ITGAL-Tfh cells,and STAT1-M1-type macrophages may be closely related with the development of RA.

Objective:To investigate the feasibility and accuracy of computer vision-based artificial intelligence technology in detecting and recognizing instruments and organs in the scenario of radical laparoscopic gastrectomy for gastric cancer.Methods:Eight complete laparoscopic distal radical gastrectomy surgery videos were collected from four large tertiary hospitals in China (First Medical Center of Chinese PLA General Hospital [three cases], Liaoning Cancer Hospital [two cases], Liyang Branch of Jiangsu Province People's Hospital [two cases], and Fudan University Shanghai Cancer Center [one case]). PR software was used to extract frames every 5–10 seconds and convert them into image frames. To ensure quality, deduplication was performed manually to remove obvious duplication and blurred image frames. After conversion and deduplication, there were 3369 frame images with a resolution of 1,920×1,080 PPI. LabelMe was used for instance segmentation of the images into the following 23 categories: veins, arteries, sutures, needle holders, ultrasonic knives, suction devices, bleeding, colon, forceps, gallbladder, small gauze, Hem-o-lok, Hem-o-lok appliers, electrocautery hooks, small intestine, hepatogastric ligaments, liver, omentum, pancreas, spleen, surgical staplers, stomach, and trocars. The frame images were randomly allocated to training and validation sets in a 9:1 ratio. The YOLOv8 deep learning framework was used for model training and validation. Precision, recall, average precision (AP), and mean average precision (mAP) were used to evaluate detection and recognition accuracy.Results:The training set contained 3032 frame images comprising 30 895 instance segmentation counts across 23 categories. The validation set contained 337 frame images comprising 3407 instance segmentation counts. The YOLOv8m model was used for training. The loss curve of the training set showed a smooth gradual decrease in loss value as the number of iteration calculations increased. In the training set, the AP values of all 23 categories were above 0.90, with a mAP of 0.99, whereas in the validation set, the mAP of the 23 categories was 0.82. As to individual categories, the AP values for ultrasonic knives, needle holders, forceps, gallbladders, small pieces of gauze, and surgical staplers were 0.96, 0.94, 0.91, 0.91, 0.91, and 0.91, respectively. The model successfully inferred and applied to a 5-minutes video segment of laparoscopic gastroenterostomy suturing.Conclusion:The primary finding of this multicenter study is that computer vision can efficiently, accurately, and in real-time detect organs and instruments in various scenarios of radical laparoscopic gastrectomy for gastric cancer.

Objective:To understand the relevant situation of people seeking tattoo removal in laser cosmetic clinics.Methods:A face-to-face questionnaire survey was conducted among respondents seeking tattoo removal who visited the Laser Cosmetic Clinic of the Provincial Hospital Affiliated to Shandong First Medical University from June 2021 to May 2022. The questionnaire survey content included 4 categories and a total of 30 questions: basic information of the tattoo respondents, tattoo-related situations, respondents’ cognition of tattoos, and tattoo removal needs. The questionnaire responses were statistically analyzed, and differences were analyzed according to the gender, age of the tattoo respondents, and educational level at the time of tattooing. Descriptive statistical analysis was conducted on the general information of the questionnaire; Mantel-Haenszel chi-square test or Pearson’s chi-squared test were used for the analysis of the difference in the composition ratio of each data.Results:A total of 150 questionnaires were distributed and 142 valid questionnaires were collected. There were 81 male and 61 female tattoo respondents, with an age of (21.8±4.9) years (13-41 years). The result of the survey showed that 52.8%(75/142) of the respondents were minors (<18 years old) at the time of tattooing, and 97.2%(138/142) were <24 years old at the time of tattooing; 67.6% (96/142) regretted the act of tattooing; 73.2%(104/142) of the respondents themselves asked for the removal of tattoos; who removed their tattoos for personal development (joining the army, working, studying) was 68.3%(97/142); only 23.2%(33/142) of the respondents understood the harms of tattoos; and 21.8%(31/142) of the respondents suffered from adverse reactions after getting tattoos. The percentage of respondents who hid their tattoos from their family members was 82.4%(117/142); the percentage of respondents whose family members approved of the tattoos was only 25.4%(36/142). Analysis of variance showed that there was no correlation between the education level of the respondents and their knowledge of the tattoo risks( P>0.05); the reasons for removing tattoos were correlated with the age and gender of the respondents at the time of consultation ( P<0.01); the size of tattoos was correlated with the gender of the respondents ( P<0.01) and the female respondents were more inclined to choose a small tattoo; the age of tattooing of the respondents was correlated with the level of education of the respondents when they had tattooed themselves ( P<0.01), the proportion of tattoos aged <18 years old was highest among respondents with junior high school education at the time of tattooing [76.2%(32/42)], and this proportion tended to decrease significantly as the education level at the time of tattooing increased. Conclusion:The respondents seeking tattoo removal in the laser cosmetic clinic are mainly teenagers. About half of the respondents were minors at the time of tattooing, and most of them were not aware of the tattoo risks. There is a certain correlation between the age of the respondents and their educational background at the time of tattooing. There are certain differences in the reasons for removing tattoos among respondents depending on gender and age. There is no correlation between the educational background of the respondents and their understanding of the tattoo risks.