Music intervention is an innovative nursing method that integrates music,medicine,and psychology.It is safe,effective,and easy for implemention.It has demonstrated positive effects in alleviating psychotic symptoms,stabilizing emotions,and improving sleep,and it is gradually being applied in psychiatric disorders.This article provides a review of the theoretical basis and current research status of music intervention,and offers a perspective on future applications,with the aim of providing a reference for the application of music intervention in the rehabilitation nursing of mental illnesses.

Music intervention is an innovative nursing method that integrates music,medicine,and psychology.It is safe,effective,and easy for implemention.It has demonstrated positive effects in alleviating psychotic symptoms,stabilizing emotions,and improving sleep,and it is gradually being applied in psychiatric disorders.This article provides a review of the theoretical basis and current research status of music intervention,and offers a perspective on future applications,with the aim of providing a reference for the application of music intervention in the rehabilitation nursing of mental illnesses.

Objective:To analyze the therapeutic effect and safety of simultaneous integrated boost intensity-modulated radiotherapy for lung cancer brain metastases.Methods:A total of 300 patients with lung cancer brain metastases admitted to the Department of Oncology, Qingdao Municipal Hospital from March 2021 to March 2023 were selected as the study objects. The patients were divided into control group ( n=150) and study group ( n=150) by random number table method. The control group received sequential three-dimensional conformal radiotherapy, while the study group received simultaneous integrated boost intensity-modulated radiotherapy. The short-term and medium-term efficacy, target dose, and adverse reactions were compared between the two groups. Results:The short-term and medium-term total effective rates of the study group were 73.33% (110/150) and 88.67% (133/150), respectively, which were higher than those of the control group [51.33% (77/150) and 71.33% (107/150) ] ( χ2=15.46, P<0.001; χ2=14.08, P<0.001). The D min in gross tumor planning target volume and whole brain clinical planning target volume of the study group were (23.78±1.11) and (58.46±0.55) Gy, respectively, which were higher than those in the control group [ (16.67±1.08) and (53.44±0.74) Gy], with statistically significant differences ( t=56.22, P<0.001; t=66.68, P<0.001). The D mean in gross tumor planning target volume and whole brain clinical planning target volume of the study group were (44.12±0.87) and (62.19±0.57) Gy, respectively, which were higher than those in the control group [ (37.55±0.89) and (57.78±0.82) Gy], with statistically significant differences ( t=64.65, P<0.001; t=54.08, P<0.001). The total incidence of adverse reactions was 30.67% (46/150) in the study group and 36.67% (55/150) in the control group, with no significantly significant difference ( χ2=1.20, P=0.271) . Conclusion:Compared with sequential three-dimensional conformal radiotherapy, simultaneous integrated boost intensity-modulated radiotherapy has better short-term and medium-term efficacy in patients with lung cancer brain metastases. Target dose can be increased without increasing adverse reactions.

Objective:To explore the changes in acoustic features of 9-10-year-old primary school students with depressive symptoms, and based on these features and the random forest (RF) algorithm, construct a model for identifying depressive symptoms in primary school students, so as to provide an intelligent psychological health screening tool for schools and education departments.Methods:This was a case-control study.A total of 1 186 primary school students aged 9-10 from three primary schools in three regions of Jiangsu Province were selected as research subjects for psychological health screening from October 26, 2022 to February 13, 2023.Their demographic data, Depression-Anxiety-Stress Scale (DASS-21) scores, Insomnia Severity Index scores, and voice recordings were collected.Based on the DASS-21 scores, the participants were divided into a control group ( n=1 086) and a depression group ( n=100).Voice recordings were made using the neutral text " The North Wind and the Sun". openSMILE was used to extract 523 acoustic features from the pre-processed voice recordings.Group differences were assessed using independent-samples t-tests or chi-square tests.Pearson correlation analysis was conducted to examine the relationship between acoustic features and depression scores.Depressive symptoms were set as the dependent variable, and the correlated acoustic features were set as the independent variable to construct a classification model using the RF algorithm.The model performance was assessed using the receiver operating characteristic (ROC) curve, the area under the curve (AUC), precision, accuracy, recall, and F1 score. Results:Compared with the control group, the depression group showed significant differences in 105 acoustic features (44 spectral features, 49 source features, and 12 prosodic features) (all P<0.05).Correlation analysis showed that 12 acoustic features (7 spectral features, 4 source features, and 1 prosodic feature) were significantly correlated with the depression score (all P<0.05).Among the RF algorithm-based classification models, the spectral features demonstrated superior performance compared to source features and prosodic features (AUC=0.793), and the performance of the model based on the combination of these features was the best (AUC=0.818). Conclusions:Acoustic features may be an objective indicator to identify the depression of 9-10-year-old primary school students, and the classification model established based on acoustic features can identify the depressed primary school students.

Objective A comparative study was conducted on rapid high-altitude models established in SD rats under two hypoxic stress modes,namely,a high-altitude field and simulated high-altitude environment,to evaluate the reliability of the simulated high-altitude test chamber.Methods SD rats were placed in a simulated rapid high-altitude animal experimental chamber(4000 m)or rapid high-altitude field laboratory(4010 m)to establish a rapid high-altitude rat model.After 24 or 72 h of exposure,physiological and pathological indicators related to high-altitude changes were collected and measured,mainly routine blood parameters,blood biochemistry,blood gas,oxidative damage indicators(superoxide dismutase(SOD),malondialdehyde(MDA),glutathione peroxidase(GSH-Px)),and inflammation indicators(interleukin 1β(IL-1 β),interferon-γ(IFN-γ),monocyte chemotactic protein 1(MCP-1)and interleukin 6(IL-6)),and pathological tissue analysis and hypoxia sensitive gene(hypoxia inducible factor-1α(Hif-1α)and vascular endothelial growth factor A(Vegfa))testing were performed.Finally,differential analysis was conducted on the result to obtain a differential evaluation report.Results At the same altitude,both high-altitude field and simulated high-altitude exposure for 72 h caused significant lung and brain damage.Under the same exposure time,the routine blood parameter,blood biochemistry,and blood gas result for the rats were similar.There were no significant differences in the detection of inflammation indicators(IL-6,IL-1β,MCP-1,and IFN-y),oxidative damage indicators(MDA,SOD,and GSH),or hypoxia-sensitive gene expression(Hif-1α and Vegfa)in the brain.However,partial pressure of carbon dioxide(PaCO2)and base excess(BE)were significantly higher in the simulated-72 h group than the other treatment group.The lung hypoxia-sensitive genes(Hif-1α and Vegfa)in the simulated-72 h group showed no significant expression difference with control group,and the brain coefficient of the high-altitude field treatment group was significantly higher than that of the simulated high-altitude treatment group.These result indicate that there may be slight differences between models prepared in high-altitude field and simulated high-altitude environments.Conclusions The simulated high-altitude animal experimental chamber can successfully establish a rapid high-altitude animal model.The simulated altitude can be appropriately increased on the basis of 4000 m.If an altitude of 4000 meters is used,the exposure time should be greater than 24 h but slightly shorter than 72 h.The simulated high-altitude experimental module has good reliability,but it is advisable to use plateaus for on-site experiments as much as possible,if conditions permit.

Objective To develop a localized Salmonella serotyping method based on multiplex nanopore sequencing technology,and evaluate the impact of serotype quantity and sequencing time on the serotyping results,aiming to provide a method for simultaneous rapid serotyping of various Salmonella serotypes.Methods Initially,a multiplex sequencing method was established by using nanopore sequencing technology.Subsequently,a localized Salmonella serotyping workflow was developed based on the coregenome MLST database of Salmonella.Finally,the effects of serotype quantity and sequencing time on serotyping results were evaluated.Results The established method for serotyping various Salmonella serotypes achieved an accuracy and specificity of 100％,with the ability to accurately serotyping at least 6 Salmonella serotypes within 2 hours.Conclusion The multiplex nanopore sequencing method enables rapid serotyping of multiple Salmonella serotypes simultaneously,significantly improving the identification efficiency of Salmonella serotypes and providing robust support for the rapid serotyping of Salmonella serotypes in environmental water samples.

Background The impact of atmospheric fine particulate matter (PM_2.5) and ozone (O₃) on the mortality of circulatory system diseases cannot be ignored. However, whether the interaction between PM_2.5 and O₃ can affect population health is rarely reported and requires study. Objective To investigate the individual and interactive impacts of atmospheric PM_2.5 and O₃ on the mortality of circulatory system diseases in the population of Ningxia region. Methods The data of 119647 deaths due to circulatory system diseases, daily average concentrations of atmospheric pollutants, and meteorological data in Ningxia from 2013 to 2020 were retrieved. PM_2.5 was divided into low, medium, and high concentrations according to the primary and secondary national limits (35 and 75 μg·m⁻³) of the Ambient air quality standards. Similarly, O₃ was divided into low, medium, and high concentrations according to the national limits (100 and 160 μg·m⁻³). Using a generalized additive mixed model based on quasi Poisson distribution, the impacts of atmospheric PM_2.5 and O₃ as well as their interaction on the mortality of circulatory system diseases were analyzed using the population data of Ningxia region. Results During the target period, males and the ≥ 65 year group accounted for larger proportions of deaths due to circulatory system diseases (55.47% and 79.87% respectively). The daily average concentration of PM_2.5 (40.25 μg·m⁻³) exceeded the national primary limit. In the single pollution model, the highest cumulative lag effects for mortality from circulatory system diseases were PM_2.5 exposure over previous 1 d (lag01) and O₃ exposure for previous 2 d (lag02), and their excess risk (ER) values were 1.03% (95%CI: 0.67%, 1.40%) and 1.02% (95%CI: 0.57%, 1.50%), respectively. The results of concentration stratification analysis showed that the most significant risks of death from circulatory system diseases [ER (95%CI): 1.12% (0.32%, 1.92%) and 0.95% (0.13%, 1.79%) respectively] were found at medium PM_2.5 and O₃ concentrations. The interaction analysis revealed that under, a synergistic effect on the risk of death from circulatory system diseases was identified (relative excess risk due to interaction=3.08%, attributable proportion of interaction=2.90%, synergy index=1.89) when considering the coexistence of PM_2.5 and O₃ above the primary limit. As the concentrations of PM_2.5 and O₃ increased, the synergistic effect increased the risk of death from circulatory system diseases in the general population, men, women, and the ≥ 65 years group. Conclusion Both atmospheric PM_2.5 and O₃ can increase the risk of death from circulatory system diseases, and the two pollutants have a synergistic effect on the risk of death from circulatory system diseases.

Objective By screening and passaging G0 generation Wistar rats,we obtained hypoxia-sensitive and hypoxia-tolerant G1 generation rats,and then the differences in hypoxia sensitivity among these rats were preliminarily explored.Methods 200 Wistar rats(half male and half female)were selected as G0 generation and placed in a controlled oxygen concentration system.The hypoxia tolerance time,which refers to the time from placement to near death,was recorded for the G0 generation rats at an oxygen volume fraction of 3％.30 rats(half male and half female)with the shortest hypoxia tolerance time were selected for mating and passage to obtain G1 generation hypoxia-sensitive rats.Similarly,30 rats(half male and half female)with the longest hypoxia tolerance time were selected for mating and passage to obtain G1 generation hypoxia-tolerant rats.An additional 24 standard Wistar rats were randomly divided into two groups:a control group and a model group,with 12 rats in each group(half male and half female).The control group was kept in a normoxic environment,while the model group,along with the G1 generation hypoxia-sensitive rats(G1 sensitive group)and G1 generation hypoxia-tolerant rats(G1 tolerant group),were placed in a hypobaric hypoxia chamber(simulating an altitude of 5 000 m).After 12 hours,various indicators,including blood gas,complete blood count,blood biochemistry,pathological sections,and hypoxia-related genes were detected or observed to compare the differences in hypoxia sensitivity among the 4 groups.Results Compared with the G0 generation standard rats,the hypoxia tolerance time of G1 generation rats was significantly prolonged(P＜0.01).Compared with the model group,the oxygen saturation(SatO2)in G1 tolerant group was significantly higher(P＜0.05).In the G1 sensitive group,the levels of white blood cell(WBC)count,neutrophil(NEUT)count,hemoglobin(HGB)concentration,hematocrit(HCT),red blood cell distribution width(RDW),platelet(PLT),and creatinine(Cr)significantly increased(P＜0.05 or P＜0.01),while actual bicarbonate(AB)content significantly decreased(P＜0.05),and the brain and lung coefficients were significantly elevated(P＜0.05).In addition,pathological section results showed that the brain and lung tissues in the model group,G1 sensitive group,and G1 tolerant group all suffered from significant damage,with no evident differences in the gene expression levels of hypoxia-inducible factor-1 α(HIF-1α)and vascular endothelial growth factor A(VEG FA)in brain tissues amongthe three groups(P＞0.05).Conclusion Compared with standard rats,G1 generation hypoxia-sensitive/tolerant rats exhibit good signs of hypoxia sensitivity/tolerance traits,but further screening and passage are still needed to purify them.

Background Long-term exposure to ambient fine particulate matter (PM_2.5) may increase the risk of diabetes, and a healthy diet can effectively control fasting blood glucose levels. However, it is unclear whether dietary factors have a moderating effect on the risk of diabetes associated with atmospheric PM_2.5 exposure. Objective To investigate the association between long-term exposure to PM_2.5 and diabetes in rural areas of Ningxia, and potential interaction of long-term exposure to atmospheric PM_2.5 and diet on diabetes. Methods The study subjects were selected from the baseline survey data of the China Northwest Cohort-Ningxia (CNC-NX) , a natural population cohort. A total of 13917 subjects were included, excluding participants with missing covariate information. We utilized the annual average ambient PM_2.5 concentration from 2014 to 2018 as the long-term exposure level. Logistic regression and multiple linear regression were employed to analyze the associations of long-term atmospheric PM_2.5 exposure with diabetes and fasting blood glucose levels. Stratification by frequency of vegetable consumption, frequency of fruit consumption, and salty taste was used to examine moderating effects on the diabetes risk associated with atmospheric PM_2.5 exposure. Results The mean age of the 13917 subjects was (56.8±10.0) years, and the prevalence of diabetes was 9.8%. Between 2014 and 2018, the average annual concentration of PM_2.5 was (38.10±4.67) μg·m⁻³. The risk (OR) of diabetes was 1.018 (95%CI: 1.005, 1.032) and the fasting blood glucose was increased by 0.011 (95%CI: 0.004, 0.017) mmol·L⁻¹ for each 1 μg·m⁻³ increase in PM_2.5 concentration. Compared to those who consumed vegetables < 1 time per week, individuals who consume vegetables 1-3 times per week and ≥4 times per week had a reduced risk of developing diabetes by 27.1% (OR=0.729, 95%CI: 0.594, 0.893) and 16.8% (OR=0.832, 95%CI: 0.715, 0.971) respectively. Similarly, when compared to those who consumed fruits <1 time per week, individuals who consumed fruits 1-3 times per week and ≥4 times per week exhibited a reduced risk of diabetes by 16.4% (OR=0.836, 95%CI: 0.702, 0.998) and 18.2% (OR=0.818, 95%CI: 0.700, 0.959) respectively. Fasting blood glucose decreased by 0.202 (95%CI: -0.304, -0.101) mmol·L⁻¹ in participants who ate vegetables 1-3 times per week. The effect of salty taste on diabetes and fasting blood glucose was not significant. The results of stratified analysis by dietary factors and PM_2.5 concentration showed that the risks of diabetes were increased in the low PM_2.5 pollution-low vegetable intake frequency group and the high PM_2.5 pollution-low vegetable intake frequency group compared with the low PM_2.5 pollution-high vegetable intake frequency group, with OR values of 3.987 (95%CI: 2.943, 5.371) and 1.433 (95%CI: 1.143, 1.796) respectively. The risk of diabetes was 50.1% higher in participants with high PM_2.5 pollution and low fruit intake frequency than in participants with low PM_2.5 pollution and high fruit intake frequency (OR=1.501, 95%CI: 1.171, 1.926). No interaction was found between salty taste and PM_2.5 on diabetes. Conclusion Long-term exposure to ambient PM_2.5 is associated with an increased fasting blood glucose and an elevated risk of diabetes in rural Ningxia population. Increasing the frequency of weekly consumption of vegetables or fruits may have a certain protective effect against diabetes occurrence, as well as a moderating effect on diabetes and fasting blood glucose levels associated with long-term exposure to atmospheric PM_2.5.

Objective:To analyze the influencing factors for depression in primary school children aged 9-10 years in Jiangsu Province, and to construct a risk prediction model.Methods:A retrospective study.A total of 1 162 primary school children aged 9-10 years from 3 primary schools in 3 regions of Jiangsu Province were recruited.Their demographic data were collected, and they were surveyed by the Depression Anxiety Stress Scales-21 (DASS-21), the Strengths and Difficulties Questionnaire (SDQ), and the Family Environment Scale (FES). Children were divided into control group (1 059 cases) and depression group (103 cases) based on the depression scores obtained from the DASS-21 scale.Multivariate Logistic regression analysis was used to analyze the influencing factors for depression in primary school students aged 9-10 and construct a risk prediction model. Results:There were significant differences in the economic development region, physical activities, academic performance, student cadres, parents′ education level, frequency of parental quarrels, SDQ and FES dimension scores between control group and depression group (all P<0.05). Among them, economic development areas (Northern Jiangsu and Southern Jiangsu), student cadres, father′s education level (elementary school and below) and intimacy of the FES scale were protective factors for depression in elementary school children; while emotional symptoms, peer problems and the total difficulty score in the SDQ scale, and the conflict in the FES scale were the risk factors for depression in elementary school children.The prediction model was created based on the influencing factors: Logit ( P)=-1.390×economic development area (Northern Jiangsu) -1.508×economic development area (Southern Jiangsu) -1.248×student cadres -2.206×father′s education level (primary school and below) -1.145×father′s education level (junior high school)+ 3.316×emotional symptoms in the SDQ+ 0.979×peer problems in the SDQ+ 2.520×total difficulty score in the SDQ -1.697×cohesion in the FES + 0.760×conflict in the FES -0.678.The area under the curve of receiver operating characteristic was 0.931, with the sensitivity and specificity of 85.42% and 91.83%, respectively. Conclusions:The regional level of economic development, class or school cadres, father′s education level, peer problems, total difficulty score, cohesion and conflict in the family are influencing factors for depression among primary school children aged 9-10 years in Jiangsu Province.The created prediction model can effectively assess the depressive risk factors in this population, which is conductive to achieve the early recognition and intervention of depression in them.