ObjectiveTo develop an emotion management course and evaluate its effectiveness in improving emotion regulation, coping strategies, and anxiety and depression among first-year university students, so as to provide a basis for colleges to optimize mental health education courses. MethodsUsing a multi-stage cluster random sampling method, five classes of first-year students (n=169) from a university were randomly selected as participants, with three classes assigned to the experimental group (n=102) and two classes to the control group (n=67). The experimental group attended both the standard mental health education course and the emotion management course developed in this study, while the control group only attended the standard mental health education course. Pre- and post-intervention assessments were conducted using the Emotion Regulation Questionnaire (ERQ), Simplified Coping Style Questionnaire (SCSQ), Self-Rating Anxiety Scale (SAS), and Self-Rating Depression Scale (SDS). ResultsBefore the intervention, there were no significant differences between the experimental group and the control group in ERQ, SCSQ, SDS, and SAS scores (P>0.05). After the intervention, the experimental group demonstrated greater improvements than the control group in the ERQ expression inhibition subscale (14.42±5.05, 16.12±5.65), SCSQ positive coping tendency (1.97±0.51, 1.80±0.49) and negative coping tendency (1.26±0.55, 1.47±0.50), as well as in SDS (50.26±11.48, 53.86±8.21) and SAS (43.96±11.97, 47.59±9.50) scores (t value: 2.039, 2.144, 2.572; Z value: -2.214, -2.486; P<0.05). Compared with pre-intervention scores, the experimental group also showed improvements in the ERQ cognitive reappraisal subscale (32.19±5.76, 30.92±6.18), SCSQ positive coping tendency (1.97±0.51, 1.83±0.48), and SDS scores (50.26±11.48, 50.75±11.59) (t value: -2.654, -3.027; Z value: -2.100, P<0.05). ConclusionThe emotion management course effectively enhances students’ use of cognitive reappraisal strategies while reducing reliance on expressive suppression. It also contributes to improvements in coping strategies for life events and alleviates symptoms of depression and anxiety. Universities should consider integrating emotion management education into their curricula to enhance the mental well-being of first-year students.

Objective:To explore the categories and characteristics of health behaviors of community residents in Dongfang City, Hainan Province, and to analyze the influencing factors of different categories.Methods:From March to May 2023, 795 community residents of Dongfang City were selected for the study using a simple random sampling method. General Information Questionnaire, Chinese version Short of Health Promotion Lifestyle Profile-Ⅱ, Health Conception Scale, and Self-rated Abilities for Health Practice Scale were used to conduct the survey. Cluster analysis was used to explore the health behavior categories of community residents, and a decision tree model was applied to analyze the influencing factors of different categories.Results:A total of 830 questionnaires were distributed, and 795 valid questionnaires were recovered, with a valid recovery rate of 95.78%. The health behaviors of 795 community residents in Dongfang City were divided into four categories of comprehensive behavior group (26.04%, 207/795), healthy behavior group (37.23%, 296/795), risky behavior group (18.99%, 151/795), and poor health behavior group (17.74%, 141/795). The decision tree model showed that exercise efficacy, gender, ethnicity, and clinical health concepts were the factors influencing different health behavior categories of community residents in Dongfang City ( P<0.05), with exercise efficacy being the core factor. Conclusions:There is heterogeneity in the health behavior of community residents in Dongfang City. Community healthcare workers can implement targeted health promotion measures according to the behavioral characteristics of the population.

Objective:To explore the categories and characteristics of health behaviors of community residents in Dongfang City, Hainan Province, and to analyze the influencing factors of different categories.Methods:From March to May 2023, 795 community residents of Dongfang City were selected for the study using a simple random sampling method. General Information Questionnaire, Chinese version Short of Health Promotion Lifestyle Profile-Ⅱ, Health Conception Scale, and Self-rated Abilities for Health Practice Scale were used to conduct the survey. Cluster analysis was used to explore the health behavior categories of community residents, and a decision tree model was applied to analyze the influencing factors of different categories.Results:A total of 830 questionnaires were distributed, and 795 valid questionnaires were recovered, with a valid recovery rate of 95.78%. The health behaviors of 795 community residents in Dongfang City were divided into four categories of comprehensive behavior group (26.04%, 207/795), healthy behavior group (37.23%, 296/795), risky behavior group (18.99%, 151/795), and poor health behavior group (17.74%, 141/795). The decision tree model showed that exercise efficacy, gender, ethnicity, and clinical health concepts were the factors influencing different health behavior categories of community residents in Dongfang City ( P<0.05), with exercise efficacy being the core factor. Conclusions:There is heterogeneity in the health behavior of community residents in Dongfang City. Community healthcare workers can implement targeted health promotion measures according to the behavioral characteristics of the population.

An effective, reliable and practical staging is of great help to the diagnosis and treatment of malignant tumors. Cervical cancer is a malignant tumor using clinical stage in gynecological tumors, but staging lacks objectivity in judging the tumor size, para-uterine invasion, vaginal margin, vascular invasion and so on. By October 2018, the International Federation of Obstetrics and Gynecology (FIGO) had revised the 2009 FIGO cervical cancer staging that had been used before.However, the changed points of the 2018 FIGO cervical cancer staging are controversial.

The article briefly described the frequency of CT scans and the development trend of CT exposure doses in children, and introduced the main method and achievements in the cancer risk evaluation of pediatric CT scans in different time periods. This review will provide the references for optimizing the radiation dose of CT scans.

Objective To study the estimation method of medical exposure frequency in China through the survey of diagnostic radiology and radiotherapy institutions in selected provinces.Methods A survey of medical exposure frequency was carried out involving 557 diagnostic radiology and radiotherapy institutions in 25 provinces.The correlation analysis and multiple linear regression analysis were conducted,with the fitting effects of the models with different variables being compared.Results The total medical exposure frequencies highly correlated with number of outpatient,number of equipment and number of radiation workers (| r| ＞0.5).Representative samples of the daily medical exposure workload were obtained by stratified random sampling from the survey data.Mathematical models were built using the multiple linear regression between total medical exposure frequency and hospital levels,number of outpatients,number of inpatients,number of equipment,and number of radiation workers.The total medical exposure frequency in 2016 was estimated to be 589 million examinations based on the models.In addition,the frequencies of medical procedures were derived using the robust regression and the median regression.Conclusions There are several methods for estimating the total medical exposure frequency.It is desirable to use the stratified random sampling combined with the published statistical and monitoring data.The representativeness of sample is critical.The specification and optimization of models also require further study.