ObjectiveTo develop an early - warning approach for influenza in Anhui province using the moving epidemic method （MEM）， offering a scientific basis for influenza prevention and control in the province. MethodsBased on the surveillance data reported weekly by influenza sentinel hospitals and network laboratories in the “China Influenza Surveillance Information System”， the weekly influenza virus detection positive rate （positive rate， PR） across the province was analyzed. The MEM was used to estimate the epidemic threshold and classification intensity threshold of influenza in Anhui province before and after the COVID-19 pandemic， respectively. The early warning effect of the MEM was evaluated using cross-validation. ResultsEpidemic and graded intensity thresholds of influenza were derived using PR and MEM. Prior to the COVID-19 pandemic， the starting， medium-intensity， high-intensity， extremely-high-intensity， and ending thresholds of influenza epidemics were 17.08%， 38.47%， 53.20%， 59.71%， and 12.34% respectively. At this point， the model exhibited sensitivity of 0.98， specificity of 0.86， Matthews correlation coefficient of 0.84， and Youden index of 0.84. After the COVID-19 pandemic， these thresholds were 25.61%， 43.81%， 63.29%， 74.46%， and 17.82% respectively. At this point， the model demonstrates sensitivity of 0.86， specificity of 0.92， Matthews correlation coefficient of 0.78， and Youden index of 0.77. ConclusionMEM shows good applicability in estimating the epidemic and graded intensity thresholds of influenza during the winter and spring in Anhui province. Both the influenza epidemic threshold and graded intensity thresholds after the COVID-19 pandemic are higher than those before the pandemic.

ObjectiveTo explore the impact of meteorological factors on influenza-like illness （ILI） cases in Anhui Province. MethodsILI surveillance data of Anhui Province from 2016 to 2023 were collected from the “China Influenza Surveillance Information System”， and meteorological data were obtained from Anhui Meteorological Center. R 4.2.1 was used to conduct Spearman rank correlation analysis between ILI cases and meteorological factors. A generalized additive model （GAM） was established to analyze the impact of meteorological factors on ILI cases. ResultsCorrelation analysis and GAM analysis showed that the average temperature and average relative humidity with a one-week lag had significant non-linear effects on ILI （P<0.05）. When the weekly average temperature was below 14 ℃， the number of ILI cases gradually increased as the temperature decreased. When the weekly average relative humidity was below 65%， the number of ILI cases gradually increased as the weekly average relative humidity decreased. The changes in ILI among the age groups 5-14， 15-24 and 25-59 years were influenced by meteorological factors， exhibiting a nonlinear relationship with weekly average temperature or weekly average relative humidity. ConclusionWeekly average temperature and weekly average relative humidity are the main factors affecting ILI in Anhui Province， and there is a lag effect， which can provide a reference for influenza surveillance and early warning.

Implementation science aims to facilitate the efficient dissemination and sustainable application of evidence based interventions, and has accordingly generated a variety of theories, models, and frameworks. Among these, the Exploration, Preparation, Implementation, and Sustainment (EPIS) frameworkfunctions both as a process model and a determinant framework, emphasizing the staged and iterative nature of implementation, and systematically explaining the influence of multilevel factors on implementation processes and outcomes through four dimensions: outer context, inner context, bridging factors, and innovation factors. The EPIS framework has been widely applied in health and public service settings internationally, yet its use in China based research remains relatively limited. This article systematically introduces the core components and application methods of the EPIS framework, and illustrates its value in identifying key influencing factors, developing implementation strategies, and optimizing implementation outcomes through case examples from the health sector, aiming to provide a methodological reference for implementation research and the promotion of evidence based interventions in China.

Objective: To evaluate the effectiveness of a family-school collaborative intervention on sleep health among fifth-grade primary school students, so as to provide scientific evidence for promoting sleep health among primary school students. Methods: From April to June 2024, a baseline survey was conducted on 342 fifth-grade students and their parents from one primary school in a district of Beijing, using the convenient sampling method. A semester of sleep health education was implemented from September to December 2024, covering cognitive, behavioral and environmental factors that affected timely bedtime; and the program took various forms, including student courses, popular-science articles for parents, and personalized feedback reports. Another primary school in the same area was conveniently selected as the control group, where 313 fifth-grade students and their parents received routine health education. The subjects were assessed for their baseline and end-point (March to June 2025) sleep conditions using sleep diaries (222 participants in the intervention group and 225 in the control group) and accelerometers (120 participants in the intervention group and 88 in the control group), respectively. The independent samples t-test and the Wilcoxon rank-sum test were used to compare characteristics between groups，and linear mixed models were employed to evaluate the intervention effects. Results: In the sleep diary evaluation, the intervention group had an earlier weekend wake up time and a smaller social jetlag than the control group at baseline ( t/Z =3.42, 7.21); in the accelerometer evaluation, the intervention group exhibited a smaller social jetlag than the control group at baseline ( Z =3.90) (all P <0.05). In the sleep diary evaluation, compared with the control group, the intervention group showed a reduced pre-to-post change in school-day bedtime ( β = -6.70), whereas the pre-to-post changes in school-day sleep duration, weekend wake-up time, weekend sleep duration, and average sleep duration were all increased at baseline and at the end ( β =8.41, 22.58, 27.03,13.74) (all P <0.05). In the accelerometer evaluation, compared with the control group, the intervention group showed reduced pre-to-post changes in school-day sleep onset time and school-day wake time ( β =-14.75, -6.24), whereas the pre-to-post change in school-day sleep duration increased at baseline and at the end ( β =8.01) (all P <0.05). Conclusion A family-school collaborative sleep health intervention may be an effective strategy for improving sleep among fifth-grade primary school students.

Objective: To investigate the correlation between social jetlag and psychological behavior in upper primary school students,so as to provide reference for sleep health promotion in primary school students. Methods: From April to June 2024, a survey was conducted among 4 341 fourth and fifth grade students from 9 public primary schools in a district in Beijing. Sleep patterns were assessed using a self designed questionnaire, while psychological behavior was evaluated using the Strengths and Difficulties Questionnaire (SDQ)(parent version). A generalized estimating equation (GEE) model was used to examine the association between different levels of social jetlag and psychological behavior problem scores in primary school students. Results: The proportions of students with social jetlag of <1.0, 1.0-<2.0, and ≥2.0 h were 57.6%, 30.6%, and 11.8%, respectively. The GEE model analysis found that after adjusting for covariates, compared with primary school students with social jetlag of <1.0 h, those with 1.0 -<2.0 and ≥2.0 h had higher scores for internalizing behavior problems [ β (95% CI ) =0.23(0.05-0.41)，0.28(0.02-0.54), P < 0.01]. Primary school students with ≥2.0 h of social jetlag had higher scores for externalizing behavior problems [ β (95% CI )=0.42 (0.13-0.71)， P <0.01]. Among boys and primary school students with an average nighttime sleep duration of ≥9 h, comparied with social jetlag of <1.0 h,those with sucial jetlag 1.0-<2.0 h had higher scores on internalizing and externalizing behavior problems[ β (95% CI )=0.32(0.07-0.56),0.51 (0.11-0.90), 0.26 (0.06-0.46)，0.58 (0.25-0.91), P <0.05]. Conclusions Greater social jetlag may be a risk factor for internalizing and externalizing behavior problems in upper primary school students. Reducing social jetlag may help decrease the occurrence of psychological behavior problems in primary school students.

Objective: To explore the association of screening myopia and sitting posture habits as well as screen viewing distance among primary school students, providing a scientific basis for myopia prevention and intervention among primary school students. Methods: From April to June 2024, a convenient sampling method was used to enroll 1 394 fourth grade students from four primary schools in a district of Beijing for vision examinations and questionnaire surveys. Logistic regression models were employed to analyze the relationship of screening myopia detection and sitting posture habits as well as viewing distance. Results: The screening myopia prevalence among primary school students was 63.8%. About 13.1% of students self reported poor sitting posture, and 47.1% selfreported a viewing distance of ≤20 cm. After adjusting for covariates including age, gender, school, sleep quality, parental myopia status, physical fitness level, daily high intensity physical activity, weekend outdoor activity time and types of after school services, Logistic regression analysis showed that students with poor sitting posture were more likely to have screening myopia than those with normal sitting posture ( OR =1.73,95% CI =1.03-2.92); students with a viewing distance of ≤20 cm were more likely to have screening myopia than those with a viewing distance of >20 cm( OR =1.32, 95% CI =1.02-1.71)( P <0.05). The association between sitting posture and screening myopia was more significant among boys( OR =2.00, 95% CI =1.03-3.88, P < 0.05 ). A multiplicative interaction was observed between sitting posture and viewing distance. Compared to primary school students with normal posture and a viewing distance of >20 cm, those with poor posture and a viewing distance of >20 cm were more likely to have screening myopia ( OR =1.82, 95% CI =1.12-2.96， P <0.05). Conclusions Both sitting posture habits and screen viewing distance are related to screening myopia in primary school students. Poor sitting posture poses a higher risk than screen distance, and the two factors exhibit an interactive effect on myopia risk.

Objective:To analyze the status quo of medical resources allocation of midwifery institutions in Shenzhen,to measure the spatial accessibility of the midwifery institutions,to give the optimal location of new midwifery institutions,and to optimize the allocation of midwifery medical resources.Methods:The spatial accessibility of midwifery institutions was accurately measured using the two-step moving search method,and the spatial layout optimization analysis was carried out using the model of maximum coverage site selection problem.Results:(1)There is obvious spatial heterogeneity in the accessibility of midwifery institutions in Shenzhen,with the accessibility of the western region higher than that of the eastern region,and that of the urban center higher than the peripheral region;(2)the accessibility of midwifery institutions in Shenzhen is obviously affected by factors such as demography,economy,topography,and road network;(3)after simulating the addition of new midwifery institutions by using the maximal-coverage siting model,the accessibility of midwifery institutions in various districts of Shenzhen rises significantly.Conclusion:(1)to formulate urban maternal and child health care resource plans based on accurate portraits of regional populations;(2)to use the advantages of digital intelligence technology to drive the optimization of the layout and radiation of high-quality maternal and child health care resources;(3)and to give priority to establish maternal and child medical institutions in low-accessibility areas and special medical bus lines.

Objective:To investigate the longitudinal relationship between self-esteem and hope of adolescents and to explore gender differences.Methods:A total of 1 982 adolescents,aged 11 to 24,participated in a l-year lon-gitudinal study with 3 waves of assessments(T1,baseline time;T2,6 months later;T3,1 year later).The Self-Es-teem Scale(SES)and the Children's Hope Scale(CHS)were used to measure levels of self-esteem and hope.The data were analyzed using a cross-lagged panel model and multi-group structural equation modeling.Results:Across the three measurement waves,the self-esteem scores were positively correlated with the hope scores(r=0.40-0.67).Results from the cross-lagged analysis indicated a bidirectional predictive relationship between the self-es-teem scores and hope scores over the year(β=0.09-0.22).The results of multi-group analysis showed significant gender differences in the autoregressive path of self-esteem in the three measures(Waldx2=3.78-3.84).Conclu-sion:Adolescents' self-esteem and hope exhibit a bidirectional predictive relationship,with no significant gender differences in the cross-lagged paths.

Objective:To summarise the main points of operation during thyroid surgery using bilateral axillo-breast approach (BABA) with a domestic robot and to analyse the learning curve.Methods:From May. 2023 to Oct. 2023, we retrospectively analysed the clinical data of 38 patients who underwent thyroid surgery with domestically manufactured robot via BABA attending the Department of Thyroid and Breast Surgery of the 960th Hospital of PLA Joint Logistics Support Force, proposed and constructed learning curves using cumulative and analytical methods to study the minimum number of learning cases required for the loading time of assistants and surgeon-in-charge with da Vinci surgical experience to transition from the initial learning stage to the proficiency stage. The age, BMI, surgical time (loading time, operating time), postoperative drainage time, and number of lymph nodes dissected were compared among patients at different stages of the learning curve.Results:A total of 38 thyroidectomy patients successfully underwent surgery, with an average surgical time of (176.61 ± 47.98) minutes. After 18 cases, the assistant's loading time shortened and stabilized at (42.20 ± 3.44) minutes. The operator reached peak proficiency at the 18th case (loading time, operating time), which was considered the dividing point between the learning phase and the proficiency phase. During the learning phase, the average surgical time was (209.72 ± 49.28) minutes, operation time: (165.44 ± 49.93) minutes, while in the proficiency phase, the average surgical time decreased to 146.80 ± 18.34 minutes, operation time: (104.60 ± 19.01) minutes. There were no statistically significant differences in baseline characteristics such as age, BMI, postoperative drainage time, or the number of central compartment lymph nodes dissected between the two phases ( P > 0.05) . Conclusion:Over the results of this study, it was shown that for robosurgeons with experience in da Vinci robotic surgery, the transition from the learning stage to the proficiency stage could be considered after crossing the learning curve for 18 cases, and that assistants could become proficient in loading techniques after 18 procedures.

Objective:To explore the relationship between trait anger and depression among college students, as well as the mediating roles of perceived stress and emotion-oriented coping strategies.Methods:From March to April 2022, a total of 2 037 college students were surveyed by the trait anger scale, the perceived stress scale, the coping inventory for stressful situations, and the 9-item patient health questionnaire.The collected data were analyzed by SPSS 27.0 software and AMOS 24.0 statistical software packages.Results:The score of trait anger among college students was (14.78±3.56), the score of perceived stress was (10.02±4.77), the score of emotion-oriented coping was (14.43±3.38), and the score of depression was 2.00(0, 9.00). Correlation analysis showed that depression was significantly and positively correlated with temperamental anger, reactive anger, perceived stress, and emotion-oriented coping ( r=0.303-0.467, all P<0.01). Temperamental anger and reactive anger were significantly and positively correlated with both perceived stress and emotion-oriented coping ( r=0.279-0.332, all P<0.01). Emotion-oriented coping was significantly and positively correlated with perceived stress ( r=0.397, P<0.01). Mediation effect analysis showed that the total effect of trait anger on depression was 0.420. The direct effect of trait anger on depression was 0.241, accounting for 57.38% of the total effect. The mediating effects of perceived stress and emotion-oriented coping were 0.145 and 0.024, accounting for 34.52% and 5.72% of the total effect, respectively. The chain mediating effect of perceived stress and emotion-oriented coping was 0.010, accounting for 2.38% of the total effect. Conclusion:Trait anger can significantly and positively predict depression among college students, and it can also positively predict the level of depression among college students through the chain mediation effect of perceived stress and emotion orientation.