Objective: To determine the association between exposure to entertainment screen content on mobile phones and symptoms of anxiety-depression co-morbidity among college students,so as to provide evidence for mental health interventions. Methods: A baseline survey was conducted from April to May 2019. A total of 1 135 college students were selected from one university each in Shangrao City, Jiangxi Province and Hefei City, Anhui Province using cluster random sampling method. A follow up study was conducted in November 2019, resulting in 1 110 matched valid responses. Self rating questionnaires were used to assess the exposure of entertainment screen content. The Depression Anxiety Stress Scale-21(DASS-21) and the Patient Health Questionnaire-9 (PHQ-9) were used to evaluate the anxiety symptoms, depressive symptoms, and symptoms of anxiety-depression co-morbidity among college students. A multivariate binary Logistic regression model was constructed following initial intergroup comparisons with Chi-square test to determine the association between baseline exposure to mobile entertainment screen content and the risk of symptoms of anxiety depression co-morbidity at baseline and the 6 month follow up. Results: The prevalence rates of symptoms of anxiety-depression co-morbidity among college students were 25.4% and 20.6% at baseline and follow up, respectively.After adjusting for confounding factors such as gender, self rated family economic status and self rated health status, the results of multivariate binary Logistic regression analysis showed that compared with the appropriate exposure level group, the exposure of entertainment screen content on mobile phones at baseline, including frequent exposure to reading( OR =1.65,95% CI =1.14-2.39), occasional exposure to other entertainment screen content ( OR =1.46,95% CI =1.01-2.10)and frequent exposure to other entertainment screen content( OR =1.76,95% CI =1.20-2.60), increased the co-occurrence risk of symptoms of anxiety-depression co-morbidity among college students during the follow up period (all P <0.05). Conclusion Occasional or frequert exposure to mobile entertainment screen content can increase the risk of symptoms of anxiety depression co-morbidity among college students.

Objective Logistic regression model was used to analyze the risk factors of liver cancer in patients with hepatitis B virus-related cirrhosis. Methods A retrospective analysis was performed on 504 patients with hepatitis B cirrhosis who were treated in a hospital from April 2021 to April 2024. The occurrence of liver cancer was counted. The risk factors of liver cancer in patients with HBV-related cirrhosis were analyzed by logistic regression analysis. Results Among the 504 patients with hepatitis B cirrhosis, 101 patients developed liver cancer and 403 patients did not develop liver cancer, which were included in the liver cancer group (n=101) and the non-liver cancer group (n=403).. Among hepatitis B cirrhosis, the incidence rate of liver cancer was 20.04%. Compared with the non-liver cancer group, the proportion of patients with long-term drinking history, family history of liver cancer, history of diabetes mellitus, antiviral therapy, and HBV-DNA load>104 were higher in the liver cancer group (P<0.05). logistic regression analysis found that long-term drinking history (OR=3.077, 95%CI: 1.130-8.378, P=0.028), history of diabetes mellitus (OR=3.747, 95%CI: 1.765-7.954, P=0.001), no antiviral therapy (OR=3.466, 95%CI: 1.337-8.985, P=0.011) and HBV-DNA load>104 (OR=3.149, 95%CI: 1.353-7.328, P=0.008) could independently affect the occurrence of liver cancer in patients with hepatitis B cirrhosis. Conclusion According to logistic regression analysis, long-term drinking history, history of diabetes mellitus, no antiviral therapy, and HBV-DNA load>104 are risk factors for liver cancer in patients with HBV-related cirrhosis.

Objective:To assess iodine nutritional status and the prevalence of thyroid dysfunction in Kunming, Yunnan Province, along with correlation and risk factors between thyroid dysfunction and urinary iodine levels.Methods:This cross-sectional study was conducted from January 2014 to July 2016 using a multi-stage, stratified cluster sampling method. A total of 2 650 residents of Kunming, Yunnan Province, who met the inclusion criteria were selected. Data on participants′ demographics, physical measurements, and laboratory tests were collected through questionnaire and clinical assessments which led to 1 463 subjects in the final analysis considering missing data. Statistical analysis were performed using SPSS 26.0, while R Studio was used to model the nonlinear relationship between urinary iodine levels and the risk of thyroid dysfunction.Results:(1) Among 2 650 subjects, 755(28.5%) were diagnosed with thyroid dysfunction, with incidence rates of clinical hyperthyroidism(0.83%), subclinical hyperthyroidism(0.38%), clinical hypothyroidism(1.36%), subclinical hypothyroidism(17.66%), and isolated thyroid antibody positive(13.85%). The median urinary iodine concentration was 177.49(123.59, 251.85) μg/L, indicating adequate iodine nutritional. (2)Among the 1 463 subjects analyzed, significant differences in urinary iodine were found between healthy individual group and abnormal TSH group or abnormal TSH group and thyroid antibody positive group( H=-83.437, P=0.003; H=107.489, P=0.003). Logistic regression revealed that rural residents had a lower risk of thyroid dysfunction than urban residents( OR=0.429, 95% CI 0.256-0.717, P=0.001). Risk of thyroid disease increased with age, and TSH, thyroid peroxidase antibody(TPOAb), thyroglobulin antibody(TgAb), and urinary iodine levels were identified as significant risk factors, with a U-shaped relationship between urinary iodine levels and thyroid dysfunction. Conclusions:The prevalence of thyroid dysfunction in Kunming is comparable to the national average. The relationship between urinary iodine concentration and thyroid dysfunction follows a U-shaped curve. Factors including region, age, TSH, TPOAb, TgAb, and urinary iodine concentration are associated with thyroid dysfunction.

Objective To evaluate the accuracy and reproducibility of AlignRT-guided positioning by comparing two positioning workflows for pelvic tumor radiotherapy,and to further explore the feasibility of using it to replace skin marker alignment.Methods Forty cases of pelvic tumor treated with radiotherapy using Infinity accelerator in Sun Yat-sen University Cancer Center between March 2022 and March 2023 were included in the study,with 20 cases using the skin marker alignment workflow and the other 20 adopting AlignRT-guided positioning workflow.The translational errors(LAT,LNG,VRT)and rotational errors(Yaw,Pitch,Roll)were determined by the registration of pre-treatment cone-beam CT(CBCT)with planned CT.Both CBCT shifts and error offset distributions were analyzed;planning target volume(PTV)margins were calculated;and correlation analyses were conducted among six-dimensional errors,and between body mass index and setup errors.Results The median translational and rotational setup errors of skin marker alignment workflow vs AlignRT-guided positioning workflow were 0.19-0.34 cm vs 0.10-0.15 cm and 0.50°-1.30°vs 0.50°-0.70°,with the maximum offset ranges of 1.20-1.70 cm vs 0.42-0.47 cm and 2.00°-5.50° vs 1.80°-2.00°,respectively.Additionally,for skin marker alignment workflow,inter-fractional errors>0.5 cm and>3° were observed in 23.3%and 9.8%of fractions.The PTV margins of AlignRT-guided positioning workflow were 0.37,0.38 and 0.34 cm in the left-right,superior-inferior and anterior-posterior directions,respectively,which were much smaller than those of skin marker alignment workflow(0.67,1.22 and 0.95 cm).No correlation was found between six-dimensional errors in two positioning workflows.When using AlignRT-guided positioning workflow,the setup errors in LAT,LNG and Pitch directions had low correlations with body mass index.Conclusion In pelvic tumor radiotherapy,AlignRT-guided positioning can reduce translational and rotational errors,achieve precise setup and excellent inter-fractional reproducibility and stability,and replace traditional skin marker alignment while being used in conjunction with CBCT.

Objective Network pharmacology and molecular docking techniques were used to predict the potential mechanisms by which the active components of Piper nigrum(PN)regulate depressive-like behaviors in chronic restraint stress(CRS)mice.Methods The major chemical components and targets of PN were screened using the Traditional Chinese Medicine Systems Pharmacology database.Targets related to ferroptosis and depression were obtained from the Online Mendelian Inheritance in Man,GeneCards,and FerrDB databases.The intersecting targets were then subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Gnomes(KEGG)pathway enrichment analyses,and molecular docking was performed to validate the binding capacities between the core targets and their corresponding active components.Finally,we established a CRS mouse model.Mice were treated with PN 75,150,and 300 mg/kg for 4 weeks,followed by behavioral assessments and reverse transcription-quantitative polymerase chain reaction(RT-qPCR)to verify the expression of core genes.Results Nine active components were screened from PN,corresponding to 27 targets,and 8377 targets related to depression and 547 targets associated with ferroptosis were screened from the databases.The intersection of these three sets resulted in 25 target genes.KEGG enrichment analysis revealed that these core targets were predominantly enriched in signaling pathways,including cholinergic synapses,serotonergic synapses,and neuroactive ligand-receptor interactions.Molecular docking result showed that the main active components of PN had strong binding affinities for the targets CHRM2,SLC6A4,PTGS2,and SLC6A2.Behavioral assessments demonstrated that PN significantly increased the sucrose preference index(P＜0.01,P＜0.001),reduced immobility time in the tail suspension and forced swimming tests(P＜0.01,P＜0.001),and enhanced exploratory behavior in the open field test(P＜0.05.P＜0.01,P＜0.001).PN significantly reduced the serum levels of inflammation markers(P＜0.05.P＜0.01,P＜0.001),as shown by enzyme-linked immunosorbent assay,and neurotransmitter analysis revealed that PN significantly increased the levels of serotonin and acetylcholine in the mouse hippocampus(P＜0.05).RT-qPCR showed that PN demonstrated the mRNA expression of SLC6A4(P＜0.05.P＜0.01,P＜0.001).Conclusions PN may improve depressive-like behavior in mice by modulating serotonin and acetylcholine levels,inhibiting inflammatory responses,participating in immune regulation,and exerting neuroprotective effects.

Objective Network pharmacology and molecular docking techniques were used to predict the potential mechanisms by which the active components of Piper nigrum(PN)regulate depressive-like behaviors in chronic restraint stress(CRS)mice.Methods The major chemical components and targets of PN were screened using the Traditional Chinese Medicine Systems Pharmacology database.Targets related to ferroptosis and depression were obtained from the Online Mendelian Inheritance in Man,GeneCards,and FerrDB databases.The intersecting targets were then subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Gnomes(KEGG)pathway enrichment analyses,and molecular docking was performed to validate the binding capacities between the core targets and their corresponding active components.Finally,we established a CRS mouse model.Mice were treated with PN 75,150,and 300 mg/kg for 4 weeks,followed by behavioral assessments and reverse transcription-quantitative polymerase chain reaction(RT-qPCR)to verify the expression of core genes.Results Nine active components were screened from PN,corresponding to 27 targets,and 8377 targets related to depression and 547 targets associated with ferroptosis were screened from the databases.The intersection of these three sets resulted in 25 target genes.KEGG enrichment analysis revealed that these core targets were predominantly enriched in signaling pathways,including cholinergic synapses,serotonergic synapses,and neuroactive ligand-receptor interactions.Molecular docking result showed that the main active components of PN had strong binding affinities for the targets CHRM2,SLC6A4,PTGS2,and SLC6A2.Behavioral assessments demonstrated that PN significantly increased the sucrose preference index(P＜0.01,P＜0.001),reduced immobility time in the tail suspension and forced swimming tests(P＜0.01,P＜0.001),and enhanced exploratory behavior in the open field test(P＜0.05.P＜0.01,P＜0.001).PN significantly reduced the serum levels of inflammation markers(P＜0.05.P＜0.01,P＜0.001),as shown by enzyme-linked immunosorbent assay,and neurotransmitter analysis revealed that PN significantly increased the levels of serotonin and acetylcholine in the mouse hippocampus(P＜0.05).RT-qPCR showed that PN demonstrated the mRNA expression of SLC6A4(P＜0.05.P＜0.01,P＜0.001).Conclusions PN may improve depressive-like behavior in mice by modulating serotonin and acetylcholine levels,inhibiting inflammatory responses,participating in immune regulation,and exerting neuroprotective effects.

Objective To evaluate the accuracy and reproducibility of AlignRT-guided positioning by comparing two positioning workflows for pelvic tumor radiotherapy,and to further explore the feasibility of using it to replace skin marker alignment.Methods Forty cases of pelvic tumor treated with radiotherapy using Infinity accelerator in Sun Yat-sen University Cancer Center between March 2022 and March 2023 were included in the study,with 20 cases using the skin marker alignment workflow and the other 20 adopting AlignRT-guided positioning workflow.The translational errors(LAT,LNG,VRT)and rotational errors(Yaw,Pitch,Roll)were determined by the registration of pre-treatment cone-beam CT(CBCT)with planned CT.Both CBCT shifts and error offset distributions were analyzed;planning target volume(PTV)margins were calculated;and correlation analyses were conducted among six-dimensional errors,and between body mass index and setup errors.Results The median translational and rotational setup errors of skin marker alignment workflow vs AlignRT-guided positioning workflow were 0.19-0.34 cm vs 0.10-0.15 cm and 0.50°-1.30°vs 0.50°-0.70°,with the maximum offset ranges of 1.20-1.70 cm vs 0.42-0.47 cm and 2.00°-5.50° vs 1.80°-2.00°,respectively.Additionally,for skin marker alignment workflow,inter-fractional errors>0.5 cm and>3° were observed in 23.3%and 9.8%of fractions.The PTV margins of AlignRT-guided positioning workflow were 0.37,0.38 and 0.34 cm in the left-right,superior-inferior and anterior-posterior directions,respectively,which were much smaller than those of skin marker alignment workflow(0.67,1.22 and 0.95 cm).No correlation was found between six-dimensional errors in two positioning workflows.When using AlignRT-guided positioning workflow,the setup errors in LAT,LNG and Pitch directions had low correlations with body mass index.Conclusion In pelvic tumor radiotherapy,AlignRT-guided positioning can reduce translational and rotational errors,achieve precise setup and excellent inter-fractional reproducibility and stability,and replace traditional skin marker alignment while being used in conjunction with CBCT.

Objective:To assess iodine nutritional status and the prevalence of thyroid dysfunction in Kunming, Yunnan Province, along with correlation and risk factors between thyroid dysfunction and urinary iodine levels.Methods:This cross-sectional study was conducted from January 2014 to July 2016 using a multi-stage, stratified cluster sampling method. A total of 2 650 residents of Kunming, Yunnan Province, who met the inclusion criteria were selected. Data on participants′ demographics, physical measurements, and laboratory tests were collected through questionnaire and clinical assessments which led to 1 463 subjects in the final analysis considering missing data. Statistical analysis were performed using SPSS 26.0, while R Studio was used to model the nonlinear relationship between urinary iodine levels and the risk of thyroid dysfunction.Results:(1) Among 2 650 subjects, 755(28.5%) were diagnosed with thyroid dysfunction, with incidence rates of clinical hyperthyroidism(0.83%), subclinical hyperthyroidism(0.38%), clinical hypothyroidism(1.36%), subclinical hypothyroidism(17.66%), and isolated thyroid antibody positive(13.85%). The median urinary iodine concentration was 177.49(123.59, 251.85) μg/L, indicating adequate iodine nutritional. (2)Among the 1 463 subjects analyzed, significant differences in urinary iodine were found between healthy individual group and abnormal TSH group or abnormal TSH group and thyroid antibody positive group( H=-83.437, P=0.003; H=107.489, P=0.003). Logistic regression revealed that rural residents had a lower risk of thyroid dysfunction than urban residents( OR=0.429, 95% CI 0.256-0.717, P=0.001). Risk of thyroid disease increased with age, and TSH, thyroid peroxidase antibody(TPOAb), thyroglobulin antibody(TgAb), and urinary iodine levels were identified as significant risk factors, with a U-shaped relationship between urinary iodine levels and thyroid dysfunction. Conclusions:The prevalence of thyroid dysfunction in Kunming is comparable to the national average. The relationship between urinary iodine concentration and thyroid dysfunction follows a U-shaped curve. Factors including region, age, TSH, TPOAb, TgAb, and urinary iodine concentration are associated with thyroid dysfunction.

In the process of promoting the implementation and transformation of the Q3D guideline of the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH) in China, the risk assessment of elemental impurities in naturally sourced excipients often faces challenges such as multiple types of elemental impurities and insufficient detection methods. In this paper, an inductively coupled plasma mass spectrometry (ICP-MS) method for screening 12 elemental impurities in titanium dioxide was established using the optimized acid extraction pre-treatment method. The accuracy and repeatability of the method were good. The recoveries of cadmium, lead, mercury, cobalt, nickel, lithium, barium, molybdenum, copper, chromium and iron were 83.6%−101.6%, the recovery of antimony was 54.1%, and the RSD was 1.1%−10.2% (n=6). The evaluation results of elemental impurities showed that the risk of cadmium, mercury, cobalt, nickel, lithium, barium, molybdenum, copper, chromium and antimony was low, while the risk of lead was high, and it is recommended that a lead salt test be added to the pharmacopoeia standard for this product. Based on the statistical data, the differences in the control levels of elemental impurities and whiteness of 29 batches of titanium dioxide samples from 10 domestic and foreign manufacturers were compared and analyzed. The Pearson correlation coefficient method was used to analyze the correlation between residual elemental impurities and whiteness, and a heat map was used to visualize the results. The results showed that whiteness was significantly negatively correlated with the amount of residual barium and the sum of residual elemental impurities. It is suggested that the manufactures should include whiteness as an internally controlled indicator to further improve the quality of titanium dioxide used as a pharmaceutical excipient.

Objective: To describe the association of different sleep characteristics and cardiometabolic risk among college students, so as to provide reference for health promotion of college students. Methods: By random cluster sampling method, a questionnaire survey and physical examination including blood pressure, waist circumference and blood lipid indicators, which were conducted in April and May of 2019 among a total of 1 179 college students from the first grade in two universities in Hefei City of Anhui Province and Shangrao City of Jiangxi Province. A total of 729 college students with valid questionnaires were included into analysis. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to investigate sleep behavior, and the Morning And Evening Questionnaire-5 (MEQ-5) was used to investigate sleep characteristics. The cardiometabolic risk score was derived using the sum of the standardized sex specific Z scores of waist circumference, mean arterial pressure, HDL cholesterol (multiplied by -1), triglycerides, and insulin resistance index. The rank sum tests were used to compare differences in cardiometabolic risk scores across demographic characteristics. Generalized linear models were used to compare the association of different sleep characteristics with cardiometabolic risk scores among college students. Results: The average cardiovascular metabolic risk score of college students was -0.32(-2.03, 1.58). There were statistically significant differences in cardiovascular metabolic risk scores among college students in variables such as smoking, health status, and physical activity levels ( t/F=-3.41, 12.88, 51.07, P <0.01). The results of the generalized linear model showed that nighttime preference ( B=1.89, 95%CI =1.02-3.49), insomnia symptoms ( B=3.25, 95%CI =1.79-5.90), and short or long sleep duration ( B=1.92, 95%CI =1.21-3.05) were positively correlated with the cardiovascular metabolic risk score of college students ( P <0.05). Conclusions Poor sleep patterns among college students are positively correlated with the risk of cardiovascular metabolism. The sleep behavior of college students should be actively changed to reduce the risk of cardiovascular disease.