Objective To explore theoretical application of health communication effect evaluation in order to provide support for health communication.Methods Using health communication,health activities,health science popularization,effect evaluation as precise keywords,literature collected by databases from built to May 27,2024 was searched,and literature was screened by removing duplicate literature and reading title and abstract of literature.A total of 121 literatures were selected as research samples.Results Most of literatures did not adopt theoretical framework,and only 33 literatures had theoretical applications,mainly in fields of public health and communication.The most widely used literatures were theory of knowing and believing,Lasswell's 5W mode of communication and theory of persuasion,which were dominated by Western theories and lacked application and innovation of localized theories.Conclusion The future health communication effect evaluation should use more theoretical framework to support research,learn from and integrate theories of different disciplines,and explore localization theory research path.

Objective To investigate the changes in the complex network of brain functions associated with sodium channel blocker (SCB) treatment and the neural mechanisms underlying the effects on executive control functions. Methods Twenty-one patients with temporal lobe epilepsy taking SCB (TLE-SCB) and 12 patients with temporal lobe epilepsy not taking SCB (TLE-N) were enrolled in the study along with 18 healthy controls (HC). Resting-state functional magnetic resonance imaging (rsfMRI) and attentional network testing (ANT) were completed,and graph theoretic methods were applied to study the changes in the complex networks of brain function in the three groups of subjects,and to investigate the relationship between changes in brain networks and executive function. Results The TLE-SCB and TLE-N groups showed executive function impairment compared to the HC group. Analysis of brain network topological properties showed that multiple node median centrality was reduced in the TLE-SCB group compared to the TLE-N group (all Bonferroni corrected,P<0.017);right amygdala node clustering coefficient,and local efficiency of the left suboccipital gyrus were reduced (t=-2.953,P=0.006;t=-2.597,P=0.0142). The TLE-SCB compared to the HC group had decreased multiple node median centrality (all Bonferroni corrected,P<0.017);increased node clustering coefficients in the left orbital middle frontal gyrus (t=2.861,P=0.007);and decreased localized efficiency in the left inferotemporal gyrus (t=-2.870,P=0.007). The TLE-N group compared to the HC group had decreased right paracentral lobule mediator centrality,local efficiency increased (t=2.644,P=0.013;t=3.464,P=0.002);right amygdala node clustering coefficient increased (t=2.884,P=0.007). Correlation analysis showed that decreased centrality of left suboccipital gyrus mediators was negatively correlated with executive efficiency in the TLE-SCB group (P=0.045,r=-0.441). Conclusion Patients using SCB medication showed impairment of brain functional network topological properties,with the left suboccipital gyrus as an important node;altered brain functional network topological properties may underlie the network of cognitive impairment in SCB.

Objective: To evaluate the effect of weight monitoring feedback intervention among primary school students, so as to provide the evidence for strengthening children's weight management. Methods: In October 2023, students from grades four to six in a primary school in Hangzhou City were selected and randomly assigned to a control group and an intervention group on a class-by-class basis. The included primary school students had their height and weight measured at a fixed time each week, and the results were fed back to their parents in the form of cards. The cards for the control group contained knowledge about healthy lifestyles, while those for the intervention group additionally included information on body mass index (BMI), BMI grouping, and BMI ranking. Overweight and obesity were determined according to the age- and gender-specific criteria in the Screening for Overweight and Obesity among School-aged Children and Adolescents. After a 9-month intervention period, the prevalence rates of overweight and obesity and lifestyle behavior data between the two groups before and after the intervention were compared by a generalized linear mixed model, in order to assess the effectiveness of the weight monitoring information feedback intervention. Results: The intervention group consisted of 368 students, including 208 boys (56.52%) and 160 girls (43.48%). The majority of students were 11 years, with 153 students accounting for 41.58%. The prevalence rate of overweight and obesity was 24.18%. The control group had 324 students, with 180 boys (55.56%) and 144 girls (44.44%). The predominant age was also 11 years, with 128 students accounting for 39.51%. The prevalence rate of overweight and obesity was 25.31%. Before the intervention, there were no statistically significant differences between the two groups in terms of gender, age, prevalence rate of overweight and obesity, eating habits, exercise situation, and sleep patterns (all P>0.05). After the intervention, there were significant interactions between group and time for the prevalence rate of overweight and obesity, the frequency of moderate-intensity exercise per week, and adequate sleep in the two groups (all P<0.05). The prevalence rate of overweight and obesity in the intervention group (OR=0.461, 95%CI: 0.252-0.845) was lower than that in the control group. The proportions of students in the intervention group who engaged in moderate-intensity exercise ≥4 times per week (OR=1.315, 95%CI: 1.033-1.675) and had adequate sleep (OR=1.402, 95%CI: 1.049-1.875) were higher than those in the control group. Conclusion Weight monitoring feedback can reduce the incidence of overweight and obesity among primary school students and has a certain improving effect on lifestyle behaviors such as exercise and sleep.

Objective:To develop an economical,simple,and accessible method for early identification of high-risk pregnant women with gestational diabetes mellitus(GDM),this study developed and evaluated multiple machine learning models,identified the optimal prediction model,and constructed a clinical decision support sys-tem(CDSS)based on this model.Methods:A total of 464 pregnant women who visited the Second Affiliated Hospital of Dalian Medical University from January 1,2023 to December 30,2024 were included,of which 386 were used to establish a prediction model(231 in the training set and 155 in the testing set),and the remaining 78 were used as a validation.Adopting the methods of double-point sequence correlation and chi-square test,four machine learning models were constructed after selecting feature variables:Logistic Regression,Random Forest,Support Vector Machine,and eXtreme Gradient Boosting(XGBoost).Preliminary judgment of the maximum weight mod-el,further comparison of the discriminative ability,calibration ability,and clinical practicality of each model to evalu-ate and select the optimal model,develop its CDSS,and verify the accuracy of the model.Results:①Correlation analysis identified predictors of GDM:age,pre-pregnancy body mass index(BMI),systolic/diastolic blood pres-sure,white blood cell count,hemoglobin,lymphocyte ratio,fasting plasma glucose,uric acid,direct bilirubin,chronic hypertension complicating pregnancy,and assisted reproductive technology conception.②XGBoost dominated the ensemble model and demonstrated the best performance in discrimination(AUC 0.931,95%CI 0.910-0.967),cali-bration,and clinical utility among the four models.③The CDSS achieved an accuracy of 78.2%,sensitivity of 64.7%,and specificity of 82.0%in the XGBoost model.Conclusions:The XGBoost model has the highest ability to predict GDM in the early stage.Developing its CDSS not only facilitates doctors to quickly assess GDM risk,but also is suitable for promotion to remote areas,where high-risk population screening can be achieved through re-mote data.

Objective:To explore the effectiveness of global nursing intervention combined with empathetic communication in patients undergoing endoscopic submucosal dissection (ESD) .Methods:A convenience sampling method was used to select 126 patients who underwent ESD at the Endoscopy Center of The First Affiliated Hospital of Zhengzhou University between May 2021 and May 2023. A random number table method was employed to assign the patients into four groups: the control group ( n=31), the global group ( n=32), the empathy group ( n=32), and the combined group ( n=31). The control group received routine nursing care; the global group received global nursing intervention; the empathy group received empathetic communication intervention; and the combined group received both global nursing and empathetic communication interventions. All interventions lasted for one week. The Form Y-I for Anxiety of the State-Trait Anxiety Inventory (S-AI) was used to compare anxiety levels before and after the intervention. In addition, recovery-related indicators (time to first flatus, time to resume eating, and time to ambulation) were compared among the groups. Results:After the intervention, the combined group had significantly lower S-AI scores than the other groups ( P<0.05). The combined group also showed shorter time to first flatus, time to resume eating, and time to ambulation compared to the other groups ( P<0.05) . Conclusions:Global nursing intervention combined with empathetic communication has a positive effect on promoting postoperative recovery, reducing anxiety, and encouraging positive coping strategies in patients undergoing ESD.

Objective To explore theoretical application of health communication effect evaluation in order to provide support for health communication.Methods Using health communication,health activities,health science popularization,effect evaluation as precise keywords,literature collected by databases from built to May 27,2024 was searched,and literature was screened by removing duplicate literature and reading title and abstract of literature.A total of 121 literatures were selected as research samples.Results Most of literatures did not adopt theoretical framework,and only 33 literatures had theoretical applications,mainly in fields of public health and communication.The most widely used literatures were theory of knowing and believing,Lasswell's 5W mode of communication and theory of persuasion,which were dominated by Western theories and lacked application and innovation of localized theories.Conclusion The future health communication effect evaluation should use more theoretical framework to support research,learn from and integrate theories of different disciplines,and explore localization theory research path.

Objective To investigate the changes in the complex network of brain functions associated with sodium channel blocker (SCB) treatment and the neural mechanisms underlying the effects on executive control functions. Methods Twenty-one patients with temporal lobe epilepsy taking SCB (TLE-SCB) and 12 patients with temporal lobe epilepsy not taking SCB (TLE-N) were enrolled in the study along with 18 healthy controls (HC). Resting-state functional magnetic resonance imaging (rsfMRI) and attentional network testing (ANT) were completed,and graph theoretic methods were applied to study the changes in the complex networks of brain function in the three groups of subjects,and to investigate the relationship between changes in brain networks and executive function. Results The TLE-SCB and TLE-N groups showed executive function impairment compared to the HC group. Analysis of brain network topological properties showed that multiple node median centrality was reduced in the TLE-SCB group compared to the TLE-N group (all Bonferroni corrected,P<0.017);right amygdala node clustering coefficient,and local efficiency of the left suboccipital gyrus were reduced (t=-2.953,P=0.006;t=-2.597,P=0.0142). The TLE-SCB compared to the HC group had decreased multiple node median centrality (all Bonferroni corrected,P<0.017);increased node clustering coefficients in the left orbital middle frontal gyrus (t=2.861,P=0.007);and decreased localized efficiency in the left inferotemporal gyrus (t=-2.870,P=0.007). The TLE-N group compared to the HC group had decreased right paracentral lobule mediator centrality,local efficiency increased (t=2.644,P=0.013;t=3.464,P=0.002);right amygdala node clustering coefficient increased (t=2.884,P=0.007). Correlation analysis showed that decreased centrality of left suboccipital gyrus mediators was negatively correlated with executive efficiency in the TLE-SCB group (P=0.045,r=-0.441). Conclusion Patients using SCB medication showed impairment of brain functional network topological properties,with the left suboccipital gyrus as an important node;altered brain functional network topological properties may underlie the network of cognitive impairment in SCB.

Objective:To develop an economical,simple,and accessible method for early identification of high-risk pregnant women with gestational diabetes mellitus(GDM),this study developed and evaluated multiple machine learning models,identified the optimal prediction model,and constructed a clinical decision support sys-tem(CDSS)based on this model.Methods:A total of 464 pregnant women who visited the Second Affiliated Hospital of Dalian Medical University from January 1,2023 to December 30,2024 were included,of which 386 were used to establish a prediction model(231 in the training set and 155 in the testing set),and the remaining 78 were used as a validation.Adopting the methods of double-point sequence correlation and chi-square test,four machine learning models were constructed after selecting feature variables:Logistic Regression,Random Forest,Support Vector Machine,and eXtreme Gradient Boosting(XGBoost).Preliminary judgment of the maximum weight mod-el,further comparison of the discriminative ability,calibration ability,and clinical practicality of each model to evalu-ate and select the optimal model,develop its CDSS,and verify the accuracy of the model.Results:①Correlation analysis identified predictors of GDM:age,pre-pregnancy body mass index(BMI),systolic/diastolic blood pres-sure,white blood cell count,hemoglobin,lymphocyte ratio,fasting plasma glucose,uric acid,direct bilirubin,chronic hypertension complicating pregnancy,and assisted reproductive technology conception.②XGBoost dominated the ensemble model and demonstrated the best performance in discrimination(AUC 0.931,95%CI 0.910-0.967),cali-bration,and clinical utility among the four models.③The CDSS achieved an accuracy of 78.2%,sensitivity of 64.7%,and specificity of 82.0%in the XGBoost model.Conclusions:The XGBoost model has the highest ability to predict GDM in the early stage.Developing its CDSS not only facilitates doctors to quickly assess GDM risk,but also is suitable for promotion to remote areas,where high-risk population screening can be achieved through re-mote data.

Objective:To explore the effectiveness of global nursing intervention combined with empathetic communication in patients undergoing endoscopic submucosal dissection (ESD) .Methods:A convenience sampling method was used to select 126 patients who underwent ESD at the Endoscopy Center of The First Affiliated Hospital of Zhengzhou University between May 2021 and May 2023. A random number table method was employed to assign the patients into four groups: the control group ( n=31), the global group ( n=32), the empathy group ( n=32), and the combined group ( n=31). The control group received routine nursing care; the global group received global nursing intervention; the empathy group received empathetic communication intervention; and the combined group received both global nursing and empathetic communication interventions. All interventions lasted for one week. The Form Y-I for Anxiety of the State-Trait Anxiety Inventory (S-AI) was used to compare anxiety levels before and after the intervention. In addition, recovery-related indicators (time to first flatus, time to resume eating, and time to ambulation) were compared among the groups. Results:After the intervention, the combined group had significantly lower S-AI scores than the other groups ( P<0.05). The combined group also showed shorter time to first flatus, time to resume eating, and time to ambulation compared to the other groups ( P<0.05) . Conclusions:Global nursing intervention combined with empathetic communication has a positive effect on promoting postoperative recovery, reducing anxiety, and encouraging positive coping strategies in patients undergoing ESD.

Objective:To study the neural mechanism between abnormal brain functional activity and alertness function in temporal lobe epilepsy (TLE) patients with or without hippocampal sclerosis.Methods:A total of 21 TLE patients with hippocampal sclerosis (TLE-HS), and 18 TLE patients without hippocampal sclerosis (TLE-N) diagnosed in the Department of Neurology of the First Affiliated Hospital of Guangxi Medical University from May 2016 to November 2022 and 28 healthy controls (HC) matched with demographic data were recruited.All the 67 participants completed the attention network test (ANT) and resting-state fMRI (rs-fMRI) scans. The REST software was used to analyze fractional amplitude of low-frequency fluctuation (fALFF) and functional connectivity (FC) based on one-way ANOVA in order to obtain differential brain regions in abnormal spontaneous neuronal activity and functional connectivity among the three groups. The SPSS 26.0 software was used to analyze the correlation between fALFF/FC values in differential brain regions and alertness network efficiency by Pearson correlation analysis.Results:There was a significant difference in the alerting network effect among the three groups ( F=4.621, P=0.013), and the post-hoc analysis showed that the alerting network effect in the TLE-HS group((59.40±22.85)ms)was significantly higher than that in the HC group((38.85±21.08)ms)(Bonferroni correction, P=0.017). The fALFF analysis showed that the fALFF values of the right superior frontal gyrus in the TLE-HS group (0.16±0.52) and the TLE-N group (0.49±0.51) were significantly lower than that in the HC group (1.01±0.46), while the fALFF values of the left precentral gyrus in the TLE-HS group (0.60±0.55) was significantly higher than that in the TLE-N group (-0.19±0.51) and the HC group (-0.15±0.36) (Bonferroni correction, all P<0.05). The functional connectivity analysis revealed that the FC values between the left inferior frontal gyrus and the right superior frontal gyrus in the TLE-HS group (0.11±0.16) and TLE-N group (0.02±0.19) were significantly higher than those in the HC group (-0.18±0.18). The FC values between the right supramarginal gyrus and the right superior frontal gyrus in the TLE-HS group (0.10±0.21) were significantly higher than those in the HC group (-0.18±0.16). The FC values between the left supplementary motor area and the right superior frontal gyrus in the TLE-HS group (0.20±0.21) were significantly higher than those in the TLE-N group (-0.03±0.31) and the HC group (-0.10±0.15) (Bonferroni correction, all P<0.05). The correlation analysis showed that the FC values between the left supplementary motor area and the right superior frontal gyrus in the TLE-HS group were significantly positively correlated with alertness network efficiency ( r=0.436, P=0.048). Conclusions:There are abnormal spontaneous neuronal activity and brain functional connectivity in TLE patients with or without hippocampal sclerosis, and the abnormality is more pronounced in the TLE-HS group. The abnormal brain functional connectivity may play an essential role in alertness dysfunction.