Objective: To explore the dynamic developmental trajectories of college students class belongingness during their college years and its longitudinal predictive effects on depressive symptoms, so as to provide targeted insights for precise campus psychological interventions. Methods: In October 2021 (T1), a total of 4 720 college students from a university in Shandong Province were selected by cluster sampling method and followed up for 3 years. Surveys were conducted annually (T2: October 2022, T3: October 2023, T4: October 2024). The Class Belongingness Scale and Patient Health Questionnaire-9 (PHQ-9) were used to assess students class belongingness and depressive symptoms. Latent growth mixture modeling was employed to identify trajectories of class belonging, and multinomial Logistic regression analysis was used to examine the predictive effects of these trajectory classes on depressive symptoms. Results: Mean scores of class belongingness across T1-T4 were (73.24±11.95, 74.76±12.25, 75.25±12.38, 77.64±11.63), and the scores of depressive symptoms were [1.00 (0, 5.00), 0 (0, 3.00), 0 (0, 2.00), 0 (0, 2.00)]. The developmental trajectories of class belongingness were categorized into three types: the high-starting ascending group ( 56.61 %), the low-starting descending group (11.91%), and the medium-starting stable group (31.48%). Multinomial Logistic regression analysis showed that, compared to the medium-starting stable group, the high-starting ascending group had a lower probability of developing mild depressive symptoms ( OR=0.27, 95%CI =0.15-0.47) and moderate or above depressive symptoms ( OR=0.29, 95% CI = 0.14-0.60) (both P <0.05). Conversely, the low-starting descending group had a higher probability of developing mild depressive symptoms ( OR=2.31, 95%CI =1.65-3.22) and moderate or above depressive symptoms ( OR=7.49, 95%CI = 3.82-14.69) (both P <0.05). Conclusion Declining trajectory of class belongingness is a risk factor for depressive symptoms, while sustained upward trend may mitigate such risks.

Objective To investigate the clinical characteristics and related risk factors of severe Mycoplasmal pneumoniae pneumonia(SMPP)in children.Methods Analysis of clinical data of 240 children with Mycoplasmal pneumoniae pneumonia admitted to Guangxi Hospital Division of the First Affiliated Hospital,Sun Yat-sen University from October 2023 to March 2024.According to the severity of the disease,they were divided into SMPP group and general Mycoplasmal pneumoniae pneumonia(GMPP)group,multivariate Logistic regression analysis was used to analyze the risk factors related to the occurrence of SMPP.The receiver operating characteristic(ROC)curve was plotted to analyze the predictive value of each independent risk factor of SMPP.Results Compared the data during hospitalisation between GMPP group and SMPP group,the SMPP group had longer fever course,hospitalization time,azithromycin treatment time,and glucocorticoid use time(P＜0.05).The proportion of patients with unilateral lung lesions and large patchy shadows in SMPP group were significantly higher than those in GMPP group(P＜0.05).The levels of C-reactive protein,interleukin(IL)-6,and D-dimer in SMPP group were significantly higher than those in GMPP group,while the peripheral blood lymphocyte count was significantly lower than that in GMPP group(P＜0.05).The results of multiple Logistic regression analysis showed that the duration of fever,D-dimer,IL-6,and large patchy shadows in the lungs were independent risk factors for SMPP.The ROC curve results showed that fever duration ≥ 6.5 days,D-dimer≥0.495mg/L,IL-6≥11.05pg/ml,and large patchy shadows in the lungs had good application value in distinguishing SMPP and GMPP children.Conclusion Prolonged fever duration(≥6.5 days),significantly elevated levels of D-dimer and IL-6,and large patchy shadows in the lungs are the main clinical features of children with SMPP,which may be independent risk factors for predicting SMPP.

Objective:To explore the longitudinal trajectory of sleep disorders and their influencing factors in newly diagnosed breast cancer patients, and provide theoretical basis for formulating intervention measures to improve sleep quality of breast cancer patients.Methods:A longitudinal study was conducted using convenience sampling to select newly diagnosed breast cancer patients from Shandong Provincial Third Hospital and Shandong First Medical University Affiliated Provincial Hospital from April 2023 to June 2024. General information questionnaires, the Pittsburgh Sleep Quality Index (PSQI), the Concerns About Recurrence Scale (CARS), and the Distress Disclosure Index (DDI) were used for the survey. The Kruskal-Wallis H test and generalized estimating equation models were used to examine sleep disorders and their influencing factors. Results:A total of 473 valid questionnaires were collected. Among the 473 newly diagnosed breast cancer patients, 435 were female and 38 were male, aged (49.5 ± 11.0) years old. The CARS score at admission was (3.00 ± 1.12) points, with concerns about death (0.71 ± 0.67) points and concerns about female characteristics (0.81 ± 0.72) points. The DDI score at admission was (27.00 ± 10.03) points. The PSQI scores at admission, discharge, and one month after discharge were (15.34 ± 3.05), (12.12 ± 3.01), and (10.13 ± 1.78) points, respectively, the difference was statistically significant ( H =33.19, P<0.05). The PSQI scores at these three time points were positively correlated with the CARS score and concerns about death and female characteristics ( r values were 0.42-0.79, all P<0.05), and negatively correlated with the DDI score ( r =-0.41, -0.37, -0.31, all P<0.05). The generalized estimating equation model showed that female gender ( β=1.35, 95% CI 0.27-2.30), education level of junior high school or below ( β=1.89, 95% CI 0.24-3.19), severe pain ( β=1.72, 95% CI 0.32-3.12), moderate pain ( β=2.51, 95% CI 0.37-4.66), invasive special cancer ( β=2.57, 95% CI 1.67-4.07), invasive non-special cancer ( β=2.11, 95% CI 1.98-3.12), partial understanding of the condition ( β=1.91, 95% CI 1.23-3.01), concerns about death ( β=1.61, 95% CI 0.17-2.78), and concerns about femininity ( β=1.34, 95% CI 0.37-2.15) positively predicted the sleep quality index in newly diagnosed breast cancer patients (all P<0.05). Non-invasive cancer ( β=-3.82, 95% CI -6.79--3.36), lack of understanding of the condition ( β=-3.96, 95% CI -7.09--4.62), and DDI score ( β=-1.45, 95% CI -2.14--0.15) negatively predicted the sleep quality index (all P<0.05). Conclusions:The overall sleep quality of newly diagnosed breast cancer patients is low, with the lowest at admission and gradual improvement at discharge and one month after discharge. Medical staff should pay attention to high-risk patients who are female, have lower education levels, higher pain scores, poorer pathological types, and partial understanding of their condition.

Objective:To explore the longitudinal trajectory of sleep disorders and their influencing factors in newly diagnosed breast cancer patients, and provide theoretical basis for formulating intervention measures to improve sleep quality of breast cancer patients.Methods:A longitudinal study was conducted using convenience sampling to select newly diagnosed breast cancer patients from Shandong Provincial Third Hospital and Shandong First Medical University Affiliated Provincial Hospital from April 2023 to June 2024. General information questionnaires, the Pittsburgh Sleep Quality Index (PSQI), the Concerns About Recurrence Scale (CARS), and the Distress Disclosure Index (DDI) were used for the survey. The Kruskal-Wallis H test and generalized estimating equation models were used to examine sleep disorders and their influencing factors. Results:A total of 473 valid questionnaires were collected. Among the 473 newly diagnosed breast cancer patients, 435 were female and 38 were male, aged (49.5 ± 11.0) years old. The CARS score at admission was (3.00 ± 1.12) points, with concerns about death (0.71 ± 0.67) points and concerns about female characteristics (0.81 ± 0.72) points. The DDI score at admission was (27.00 ± 10.03) points. The PSQI scores at admission, discharge, and one month after discharge were (15.34 ± 3.05), (12.12 ± 3.01), and (10.13 ± 1.78) points, respectively, the difference was statistically significant ( H =33.19, P<0.05). The PSQI scores at these three time points were positively correlated with the CARS score and concerns about death and female characteristics ( r values were 0.42-0.79, all P<0.05), and negatively correlated with the DDI score ( r =-0.41, -0.37, -0.31, all P<0.05). The generalized estimating equation model showed that female gender ( β=1.35, 95% CI 0.27-2.30), education level of junior high school or below ( β=1.89, 95% CI 0.24-3.19), severe pain ( β=1.72, 95% CI 0.32-3.12), moderate pain ( β=2.51, 95% CI 0.37-4.66), invasive special cancer ( β=2.57, 95% CI 1.67-4.07), invasive non-special cancer ( β=2.11, 95% CI 1.98-3.12), partial understanding of the condition ( β=1.91, 95% CI 1.23-3.01), concerns about death ( β=1.61, 95% CI 0.17-2.78), and concerns about femininity ( β=1.34, 95% CI 0.37-2.15) positively predicted the sleep quality index in newly diagnosed breast cancer patients (all P<0.05). Non-invasive cancer ( β=-3.82, 95% CI -6.79--3.36), lack of understanding of the condition ( β=-3.96, 95% CI -7.09--4.62), and DDI score ( β=-1.45, 95% CI -2.14--0.15) negatively predicted the sleep quality index (all P<0.05). Conclusions:The overall sleep quality of newly diagnosed breast cancer patients is low, with the lowest at admission and gradual improvement at discharge and one month after discharge. Medical staff should pay attention to high-risk patients who are female, have lower education levels, higher pain scores, poorer pathological types, and partial understanding of their condition.

Objective To investigate the clinical characteristics and related risk factors of severe Mycoplasmal pneumoniae pneumonia(SMPP)in children.Methods Analysis of clinical data of 240 children with Mycoplasmal pneumoniae pneumonia admitted to Guangxi Hospital Division of the First Affiliated Hospital,Sun Yat-sen University from October 2023 to March 2024.According to the severity of the disease,they were divided into SMPP group and general Mycoplasmal pneumoniae pneumonia(GMPP)group,multivariate Logistic regression analysis was used to analyze the risk factors related to the occurrence of SMPP.The receiver operating characteristic(ROC)curve was plotted to analyze the predictive value of each independent risk factor of SMPP.Results Compared the data during hospitalisation between GMPP group and SMPP group,the SMPP group had longer fever course,hospitalization time,azithromycin treatment time,and glucocorticoid use time(P＜0.05).The proportion of patients with unilateral lung lesions and large patchy shadows in SMPP group were significantly higher than those in GMPP group(P＜0.05).The levels of C-reactive protein,interleukin(IL)-6,and D-dimer in SMPP group were significantly higher than those in GMPP group,while the peripheral blood lymphocyte count was significantly lower than that in GMPP group(P＜0.05).The results of multiple Logistic regression analysis showed that the duration of fever,D-dimer,IL-6,and large patchy shadows in the lungs were independent risk factors for SMPP.The ROC curve results showed that fever duration ≥ 6.5 days,D-dimer≥0.495mg/L,IL-6≥11.05pg/ml,and large patchy shadows in the lungs had good application value in distinguishing SMPP and GMPP children.Conclusion Prolonged fever duration(≥6.5 days),significantly elevated levels of D-dimer and IL-6,and large patchy shadows in the lungs are the main clinical features of children with SMPP,which may be independent risk factors for predicting SMPP.

Objective To investigate the relationship between preoperative frailty and short-term postoperative complications in elderly breast cancer patients.Methods A convenience sampling method was used to select 231 elderly breast cancer patients who underwent elective surgery in a tertiary care hospital in Beijing from July 2022 to December 2022.General information on elderly patients was collected and the frailty assessment was performed 1 day before surgery,and the occurrence of complications in elderly patients was followed up 30 days after surgery.Results Among the 214 elderly breast cancer patients,37 patients had complications within 30 days postoperatively.Binary logistic regression analysis showed that the risk of complications at 30 days postoperatively was 5.532 times higher in elderly breast cancer patients with preoperative frailty than it in non-frail patients(P＜0.05).Elder breast cancer patients with problems of decreased free movement,increased resistance/loss of endurance,and weight loss had a high risk of postoperative complications.Conclusion Preoperative frailty affects the occurrence of complications in elderly breast cancer patients within 30 days after surgery and suggests that nursing staff should strengthen perioperative health management for elderly breast cancer patients with preoperative frailty and actively prevent the occurrence and development of frailty.

Immunoglobulin A nephropathy (IgAN) is the most common primary glomerular disease, and the "four-hit" theory represents its currently accepted pathogenic mechanism. Mucosal immunity triggered by infections in the respiratory tract, intestines, or other areas leads to antigen presentation, T cell stimulation, B cell maturation, and the production of IgA-producing plasma cells. The proteins B-lymphocyte stimulator (BLyS) and a proliferation-inducing ligand (APRIL) are involved in this process, and alternative complement and lectin pathway activation are also part of the pathogenic mechanism. Kidney Disease Improving Global Outcomes guidelines indicate that a specific effective treatment for IgAN is lacking, with renin–angiotensin–aldosterone system inhibitors being the primary therapy. Recent research shows that biological agents can significantly reduce proteinuria, stabilize the estimated glomerular filtration rate, and reverse some pathological changes, such as endocapillary proliferation and crescent formation. There are four main categories of biological agents used to treat IgA nephropathy, specifically anti-CD20 monoclonal antibodies, anti-BLyS or APRIL monoclonal antibodies, monoclonal antibodies targeting both BLyS and APRIL (telitacicept and atacicept), and monoclonal antibodies inhibiting complement system activation (narsoplimab and eculizumab). However, further research on the dosages, treatment duration, long-term efficacy, and safety of these biological agents is required.

Immunoglobulin A nephropathy (IgAN) is the most common primary glomerular disease, and the "four-hit" theory represents its currently accepted pathogenic mechanism. Mucosal immunity triggered by infections in the respiratory tract, intestines, or other areas leads to antigen presentation, T cell stimulation, B cell maturation, and the production of IgA-producing plasma cells. The proteins B-lymphocyte stimulator (BLyS) and a proliferation-inducing ligand (APRIL) are involved in this process, and alternative complement and lectin pathway activation are also part of the pathogenic mechanism. Kidney Disease Improving Global Outcomes guidelines indicate that a specific effective treatment for IgAN is lacking, with renin–angiotensin–aldosterone system inhibitors being the primary therapy. Recent research shows that biological agents can significantly reduce proteinuria, stabilize the estimated glomerular filtration rate, and reverse some pathological changes, such as endocapillary proliferation and crescent formation. There are four main categories of biological agents used to treat IgA nephropathy, specifically anti-CD20 monoclonal antibodies, anti-BLyS or APRIL monoclonal antibodies, monoclonal antibodies targeting both BLyS and APRIL (telitacicept and atacicept), and monoclonal antibodies inhibiting complement system activation (narsoplimab and eculizumab). However, further research on the dosages, treatment duration, long-term efficacy, and safety of these biological agents is required.

Radiotherapy is an effective way to reduce the local recurrence rate and mortality of breast cancer.However,the risk of long-term side effects of radiation-induced cardiac injury cannot be ignored.Especially for patients undergoing left breast ra-diation therapy,the risk of cardiac injury is higher due to the heart being within the radiation field,which increases the incidence of radiation induced heart disease and ultimately affects long-term survival rate and quality of life.Therefore,it is particularly important to prevent radiation induced cardiac injury.The main measures include using advanced radiation therapy techniques such as intensity modulated radiation therapy,volume modulated arc radiotherapy,deep inhalation and breath holding radiation therapy,prone position radiation therapy,proton beam therapy,etc.or optimizing the radiotherapy plan for cardiac substructure to reduce the radiation dose to key cardiac structures.This article will review the research progress of pathophysiological mechanism,clinical manifestations,risk fac-tors and preventive measures of radiation-induced cardiac injury in breast cancer.

Objective:To explore the correlation between screen sedentary behavior and sleep quality of the elderly people in the community, so as to provide a reference for improving sleep quality of the elderly people in the community.Methods:From November 2021 to April 2022, 627 older adults from 3 communities in Hefei, Anhui Province were selected as the research objects using the convenience sampling method. The General Information Questionnaire, Measure of Older Adults' Sedentary Time Questionnaire, and Pittsburgh Sleep Quality Index (PSQI) were used to investigate the elderly people in the community. Pearson correlation analysis was used to analyse the correlation between screen sedentary behavior and sleep quality of the elderly people in the community. The influencing factors of sleep quality were assessed by Binary Logistic regression. A total of 660 questionnaires were distributed and 627 valid questionnaires were recovered, with an effective recovery rate of 95.0% (627/660) .Results:The screen sedentary behavior time of 627 elderly people in the community was (3.53±1.52) h/d, the total score of PSQI was (7.11±3.58) , and the incidence of sleep disorders was 37.48% (235/627) . Pearson correlation analysis showed that screen sedentary positively correlated with the total score of PQSI ( r=0.466, P<0.01) . Binary Logistic regression analysis results showed that the screen sedentary behavior ( OR=1.892, 95% CI: 1.638-2.185) , female ( OR=1.963, 95% CI: 1.120-3.441) , self-reported poor health status ( OR=3.332, 95% CI: 1.380-8.043) were the risk factors of sleep quality of the elderly people in the community. Conclusions:The screen sedentary behavior and sleep quality of the elderly people in the community are not optimistic, and the screen sedentary behavior, female, self-reported poor health status are the risk factors of sleep quality of the elderly people in the community. Community health staff should develop targeted intervention strategies to help the elderly people in the community reduce screen sedentary behavior time and improve sleep quality.