Objective: To investigate the association between brain and muscle Arnt like protein 1( BMAL 1) gene and ambulatory blood pressure (ABP) parameters in college students, and to explore the influence of the interaction between the gene and weight status on the ABP levels, so as to provide reference for early prevention of chronic cardiovascular diseases related to hypertension. Methods: During September 2022 to June 2024, a total of 510 college students were recruited from a university in Changsha, China for on site questionnaire investigation, physical examination, ABP monitoring and genotyping testing. Multiple linear regression method was used to explore the association between the BMAL 1 gene and ABP indicators. An interaction term was included in the general linear model of multiple linear regression to analyze the interactive effects of BMAL 1 gene polymorphisms and weight status on ABP levels. Results: The prevalence of abnormal 24 hour blood pressure, abnormal daytime blood pressure, and abnormal nighttime blood pressure were 3.3%, 3.1%, and 3.9%, respectively. Multiple linear regression analysis showed that the BMAL 1/rs7950226 polymorphism was positively correlated with the 24 hour diastolic blood pressure(DBP) and the daytime DBP level after adjusting for gender, age, and body mass index( β =0.87,0.99, both P <0.05). Also, interaction between BMAL 1/ rs 11022775 and weight status on the nighttime DBP level ( P interaction =0.03) was found. The CC genotype carriers had significantly higher nighttime DBP level ( β =3.52, P <0.05) among overweight/obesity college students, but no differences in nocturnal DBP levels were observed between CC genotype carriers and TT+CT genotype carriers among college students with normal body weight( P > 0.05). Conclusions The rs 7950226 polymorphism is associated with 24 hours DBP and daytime DBP levels. Significant interaction between rs 11022775 with weight status on the nighttime DBP level is found among college students.

Objective To understand mosquito density, species composition, and seasonal variations around the Beijing Capital International Airport(BCIA)and provide scientific evidence for mosquito-borne disease prevention and control. Methods Meteorological data were collected from 2016 to 2022, and mosquito density was monitored at seven surveillance sites around the BCIA from May to October each year using CO2-baited mosquito traps to analyze the relationship between mosquito density and meteorological factors. Results In total,68 518 female mosquitoes were captured, with a mosquito density of 10.20 per light · hour. The dominant species was Culex pipiens pallens(73.90%), followed by Aedes albopictus(9.71%)and Ae. vexans(9.29%);the mosquito density was highest in 2016(14.8 per light·hour)and lowest in 2022(4.46 per light·hour). Significant statistical differences were observed in mosquito density among different species(F=18.118, P<0.05). The density of Cx. pipiens pallens and other mosquito species showed a mutually exclusive trend; the peak of mosquito density varied based on years and habitats, with significant statistical differences in mosquito density among different habitats(F=8.504, P<0.05). The highest mosquito density was observed near the Wenyu River(21.50 per light·hour), whereas the lowest was recorded at the BCIA construction site(2.44 per light· hour). The monthly average temperature(r=0.595), monthly average highest temperature(r=0.575), and monthly average lowest temperature(r=0.624)showed moderate positive correlations, whereas the monthly average air pressure(r=-0.484)showed a moderate negative correlation. The monthly average minimum temperature was included in the regression model(F=25.575, P<0.000), and the equation Y=1.029X4-8.181 was used. The monthly average air pressure 2 months prior(b=-2.418, β=-1.619, P<0.05)and the monthly average relative humidity(b=-0.739, β=-1.201, P<0.05)significantly negatively predicted the mosquito density. Notably, the regression equation used was y=2526.170+(-2.418)X9+(-0.739)X13. The exposure-response analysis revealed that the density of mosquitoes was not linearly related to the average monthly air pressure, rainfall, and duration of sunshine. Conclusions The dominant mosquito species around the BCIA was Cx. pipiens pallens, Ae. albopictus, and Ae. vexans. During the control of Cx. pipiens pallens, the impact on other mosquito species must also be considered. Environmental management, breeding sites, and scientific use of pesticides should be prioritized based on the activity periods of mosquitoes. Further studies on mosquitoes and meteorological factors should be conducted to provide references and novel avenues for mosquito control.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

The medical ultrasonic nebulizer was introduced in terms of composition,working principle and testing principle and method of the maximum nebulization rate.The testing characteristics of the volumetric and gravimetric methods were compared.A series of experiments were conducted using the whole-unit gravimetric approach.The initial liquid charge was indicated to be the primary factor affecting the maximum nebulization rate,and the influence increased significantly when the nebulizer's nominal volume got expanded.References were provided for medical testing staffs in selecting testing methods.

Objective:To examine the impact of returned migration experience on the prevalence of non-sui-cidal self-injury(NSSI)and its associations with childhood emotional maltreatment(EM),social support and sleep quality.Methods:A total of 3 901 middle school students in Guizhou Province were investigated with the Adoles-cent NSSI behavior Questionnaire,Childhood Trauma Questionnaire-short Form(CTQ-SF),Adolescent Social Sup-port Scale,and Pittsburgh Sleep Quality Index(PSQI).Results:The prevalence of NSSI among middle school students in Guizhou province was 22.8％,with the rate of 27.3％among returned migrant middle school students.Social support and sleep quality partially mediate the relationship between childhood EM and NSSI in mid-dle school students,with effect sizes of 0.06.The EM scores of returned migrant middle school students(β=-0.62)and non-returned migrant middle school students(β=-0.50)were negatively correlated with social sup-port scores in childhood.The sleep quality scores of returned migrant students(β=0.22)and non-returned migrant students(β=0.14)were positively correlated with NSSI scores.Conclusion:The prevalence of NSSI in returned migrant students is higher.Social support and sleep quality play an important role in the relationship between child-hood EM and NSSI in middle school students.The relationship between childhood EM and social support,sleep quality and NSSI in returned migrant middle school students is stronger than that in non-returned migrant middle school students.

Objective To investigate residents'willingness to use"internet+nursing services"of a community in Xiamen City and provide reference for the code of practice to promote the service.Methods A total of 350 community residents in Xiamen City were investigated by convenience sampling from January to December 2023.The questionnaire was self-designed with regard to their willingness to use"internet+nursing services".Results 336 questionnaires were effectively collected.The total score of willingness to use"internet+nursing services"of community residents in Xiamen City was(68.80±8.73)points,but only 19.6％of residents knew about"internet+nursing services".There were statistically significant differences in willingness to use among community residents with different ages,medical payment type,whether they knew"internet+nursing services"or not,and the number of service items needed(P＜0.05).Among them,age,whether they knew"internet+nursing services"or not and the number of service items needed were the main influencing factors of willingness to use(P＜0.05).Conclusion Community residents in Xiamen City show above the middle level of willingness to use"internet+nursing services".However,the popularity of"internet+nursing services"has a large room for improvement.The publicity to the residents should be strengthened,and the care needs of residents with different demographic characteristics should be considered.The supporting application functions of such platforms should be designed to meet the health needs of community residents,especially elderly patients with great demand for services.

The medical ultrasonic nebulizer was introduced in terms of composition,working principle and testing principle and method of the maximum nebulization rate.The testing characteristics of the volumetric and gravimetric methods were compared.A series of experiments were conducted using the whole-unit gravimetric approach.The initial liquid charge was indicated to be the primary factor affecting the maximum nebulization rate,and the influence increased significantly when the nebulizer's nominal volume got expanded.References were provided for medical testing staffs in selecting testing methods.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To investigate residents'willingness to use"internet+nursing services"of a community in Xiamen City and provide reference for the code of practice to promote the service.Methods A total of 350 community residents in Xiamen City were investigated by convenience sampling from January to December 2023.The questionnaire was self-designed with regard to their willingness to use"internet+nursing services".Results 336 questionnaires were effectively collected.The total score of willingness to use"internet+nursing services"of community residents in Xiamen City was(68.80±8.73)points,but only 19.6％of residents knew about"internet+nursing services".There were statistically significant differences in willingness to use among community residents with different ages,medical payment type,whether they knew"internet+nursing services"or not,and the number of service items needed(P＜0.05).Among them,age,whether they knew"internet+nursing services"or not and the number of service items needed were the main influencing factors of willingness to use(P＜0.05).Conclusion Community residents in Xiamen City show above the middle level of willingness to use"internet+nursing services".However,the popularity of"internet+nursing services"has a large room for improvement.The publicity to the residents should be strengthened,and the care needs of residents with different demographic characteristics should be considered.The supporting application functions of such platforms should be designed to meet the health needs of community residents,especially elderly patients with great demand for services.

Objective:To investigate the effect of Satya mode intervention on self-efficacy,quality of life,mental health and coping style in patients with chronic heart failure.Methods:This randomized controlled study enrolled 136 patients with chronic heart failure admitted in the Second Affiliated Hospital of Xi'an Jiaotong University School of Medicine between December 2022 and May 2023.Patients were randomly divided into control group(n=68,routine psychological intervention)and intervention group(n=68,additional Satya mode intervention).After 6-week intervention,self-efficacy[chronic disease self-efficacy scale(CDSES),general self-efficacy scale(GSES)scores],quality of life[Minnesota living with heart failure questionnaire(MLHFQ)score],mental health[self-rating anxiety scale(SAS),Connor-Davidson resilience scale(CD-RISC)scores]and coping style[simpli-fied coping style questionnaire(SCSQ)score]were compared between the two groups.Results:Compared to pa-tients in the control group after intervention,those in the intervention group had significantly higher scores of CD-SES[(44.67±3.03)points vs.(41.56±2.96)points],GSES[(26.91±1.45)points vs.(23.11±1.39)points],CD-RISC[(73.48±3.61)points vs.(56.45±4.12)points]and SCSQ-positive[(12.39±1.20)points vs.(11.02±0.83)points](P＜0.001 all),and significantly lower scores of MLHFQ[(43.52±3.44)points vs.(48.77±3.76)points],SAS[(31.03±2.46)points vs.(47.86±3.23)points]and SCSQ-negative[(8.35±1.18)points vs.(10.42±1.23)points](P＜0.001 all).Conclusion:Satya model intervention may improve self-efficacy,quality of life,mental health and coping style in patients with chronic heart failure.