Objective: To explore the relationship between sleep quality and mental health among middle school students, so as to provide scientific basis for improving mental health among adolescents. Methods: From September to December 2023, a stratified cluster random sampling method was employed to select 5 713 middle school students aged 13-18 from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi, and Urumqi. Sleep quality and mental health were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Brief Adolescent Mental Health Assessment Questionnaire. Spearman correlation analysis and linear regression analysis were used to explore the relationship between sleep quality and various dimensions of mental health among middle school students. Results: There was a statistically significant difference in the total PSQI score among middle school students of different age groups ( H=226.49, P <0.01), and there was no statistically significant difference in the psychological health scores of middle school students in different age groups ( H=5.37, P >0.05). In terms of gender, the total PSQI score for girls [5.00 (3.00, 6.00)] was higher than that for boys [4.00 (2.00, 6.00)]; additionally, boys had higher mental health scores [85.00 (75.00, 90.00)] than females [83.00 (70.00, 89.00)], with statistically significant differences ( Z=-10.90, -8.16, P <0.01). Spearman correlation analysis revealed a negative correlation between total PSQI scores and mental health scores ( r=-0.51, P <0.05) among middle school students. After controlling for variables such as maximum oxygen uptake, physical activity and nutritional status, linear regression analysis further confirmed that higher PSQI scores were associated with lower mental health scores ( B=-3.76, 95%CI = -4.15 to -3.38, P <0.01). Conclusion There is a negative correlation between PSQI scores and mental health scores among middle school students, indicating that improving sleep quality may contribute to better mental health among middle school students.

Objective: To explore the association between physical activity and sleep quality among middle school students, so as to provide reference for adolescent sleep improvement. Methods: From September to December 2023, 5 713 middle school students aged 13-18 years were selected from Shanghai, Suzhou, Taiyuan, Wuyuan, Xingyi and Urumqi by stratified cluster random sampling method. Pittsburgh Sleep Quality Index (PSQI) and Evaluation of Physical Activity Levels of Children and Adolescents Aged 7-18 Years were used to investigate and evaluate sleep quality and physical activity. Comparisons between groups were made using the t-test, Mann-Whitney U-test, and associations between physical activity and sleep quality of middle school students were analyzed using Spearman correlation and linear regression methods. Results: The total PSQI scores were 4.0(2.0,6.0) and 5.0 (3.0,6.0) for boys and girls, respectively, with significant sex difference ( Z =-10.90, P <0.01); light physical activity(LPA) and moderate to vigorous physical activity(MVPA) of boys were 18.57 (2.86, 42.86) and 68.57 (35.71, 119.18)min, and girls were 14.29 (0.00, 30.00) and 55.71 (31.43, 92.86)min respectively, and the differences were statistically significant ( Z =3.65, -8.65 , P <0.01). The results of Spearman correlation regression showed that adolescents MVPA was negatively correlated with the total PSQI score ( r =-0.04, P <0.01). After controlling for variables such as mental health, nutritional status and maximum oxygen uptake, the results of linear regression analysis showed that PSQI total score negatively predicted MVPA among middle school students ( B =-4.76, 95% CI =-7.16 to -2.36, P <0.05). Conclusion The longer the duration of physical activity among middle school students, the better the quality of sleep.

Objective: To explore the correlation between different nutritional status and depressive symptoms among adolescents, so as to provide a theoretical basis for targeted improvement of nutritional status and depressive symptoms in adolescents. Methods: A total of 8 102 adolescents aged 12-17 years in Shanghai, Urumqi, Changsha and Kunming were selected by random cluster sampling. Depressive symptoms were assessed by the Center for Epidemiologic Studies Depression Scale(CES-D). Height and weight were measured. Kruskal Wallis H test, Chi square test and ordinal Logistic regression were used to analyze the relationship between nutritional status and depressive symptoms in adolescents. Results: The overall detection rate of depressive symptoms in adolescents was 25.6%, with girls (30.1%) higher than that of boys (21.1%) ( χ 2=87.60, P <0.01). There were statistically significant differences in the scores of depressive symptoms among girls with different nutritional status ( Z =8.34, P <0.05). The detectable rate of depressive symptoms increased with BMI among girls( χ 2 trend =6.04, P <0.05). After controlling for confounding factors, ordinal Logistic regression showed that the obese girls had higher risks in depressive symptoms detection compared with normal weight girls ( OR=1.45, 95%CI=1.10-1.91, P <0.05). Conclusion The nutritional status of girls is better than boys, but the prevalence of depressive symptoms is higher than boys. The risk of depressive symptoms in girls increases with BMI.

Objective: To explore the relationship between adolescents physical fitness and depressive symptoms, and to provide reference for the early prevention and intervention of depressive symptoms and improvement of physical fitness in Chinese adolescents. Methods: From September to December 2021, a total of 8 102 adolescents were selected by random cluster sampling method in Shanghai, Urumqi, Changsha and Kunming. The Center for Epidemiologic Studies Depression Scale(CES-D) was used to investigate the depressive symptoms, and completed grip strength, standing long jump, 50 m running, modified sitting forward flexion, 20 s repeated traverse, 30 s sit ups, 20 m round trip running (20 m SRT) test. χ 2 test, Goodman Kruskal Gamma and Logistic regression analysis were used to analyze the relationship between physical fitness index(PFI) and depressive symptoms. Results: The overall detection rate of depressive symptoms in adolescents with high level PFI was 23.4%, and the detection rate of low level adolescents was 26.3%, with a statistically significant difference ( χ 2=6.73, P =0.01). There was a significant positive correlation between PFI and depressive symptoms in the high school group ( G=0.09, P <0.05) and the boy group ( G=0.12, P < 0.05 ), and there was no significant association between PFI and depressive symptoms in the junior high school group and the girl group ( P >0.05). After adjusting for gender and age in the Logistic regression model, compared with those with high PFI, the risk of depressive symptoms in those with low PFI was 1.18 times (95% CI =1.05-1.33). Conclusion There is a correlation between physical fitness and depressive symptoms in adolescents. Adolescents with low PFI are at higher risk of developing depressive symptoms than those with high PFI.

Objective: To explore the correlation between non suicidal self injury(NSSI) behaviors and depressive symptoms in adolescents and to provide a theoretical basis for improvement of adolescent physical and mental health. Methods: A total of 8 102 adolescents aged 12-17 years were selected by random cluster sampling method in Shanghai, Urumqi, Changsha and Kunming, using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Adolescent Non Suicidal Self Injurious Behavior Assessment Questionnaire. Depressive symptoms and the occurrence of NSSI behaviors were assessed. The relationship between NSSI behaviors and depressive symptoms was analyzed using Chi square test, one way analysis and Logistic regression analysis. Results: The overall detection rate of NSSI in adolescents, 24.6%, with a significantly lower detection rate in boys (23.1%) than in girls (26.2%) ( χ 2=10.97, P <0.05), and 24.7%, 24.6% in the middle school and high school segments, respectively, but the difference was not statistically significant ( χ 2=0.01, P >0.05). The overall detection rate of adolescent depressive symptoms was 49.7 % in the group with NSSI and 17.7% in the group without NSSI, with statistically significant differences ( χ 2=808.80, P < 0.01 ). The detection rates of adolescent depressive symptoms in the group with NSSI (male:44.0%, female:54.7%, middle school:49.6%, high school:49.8%) and the group without NSSI (male:14.2%, female:21.4%, middle school:14.3%, high school: 21.0 %) were statistically significant by sex and age groups ( χ 2=385.58, 412.44, 520.60, 313.78, P ＜0.01). Logistic regression models, after adjusting for gender and age, the risk for depressive symptoms was 2.65 times (95% CI =2.27-3.09) and 7.28 times (95% CI = 6.34- 8.37) more frequently in adolescents with episodic self injurious behavior and frequent self injurious behavior, respectively, compared to those without self injurious behavior. The association between NSSI status and depressive symptoms did not show sex differences ( P >0.05). Conclusion Adolescent NSSI behavior is positively associated with depressive symptoms, the attention should be paid to adolescent physical and mental health to reduce the occurrence of NSSI.

Objective: To analyze the correlation between physical activity and depressive symptoms in adolescents, so as to provide a reference for the early prevention of depression among adolescents. Methods: Using a random cluster sampling method, 8 102 adolescents from Shanghai, Urumqi, Changsha and Kunming were investigated via the Physical Activity Assessment Questionnaire of Chinese Children and Adolescents aged 7 to 18 and the Center for Epidemiologic Studies Depression Scale (CES-D) for physical activity and depressive symptoms. Multivariate Logistic regression analysis was used to analyze the correlation between physical activity and depressive symptoms in adolescents. Results: The proportion of adolescents who met moderate to vigorous physical activity (MVPA) standard was 37.0%, and the detection rate of depressive symptoms was 25.6%. The detection rate of depressive symptomsin compliant with MVPA standard group was significantly lower than that in non compliant group among different age and gender( χ 2=7.62-34.54, P <0.05). Adolescents with severe depressive symptoms had high light intensity physical activity(LPA) duration and low vigorous intensity physical activity(VPA) duration, while adolescents with mild depressive symptoms or asymptomatic adolescents had higher MVPA duration. There were differences in LPA and VPA among adolescents with different levels of depressive symptoms in the overall sample, and the differences were still significant among girls, middle school and statistically significant differences in LPA, moderate intensity physical activity(MPA), MVPA were also found among the high school subgroup. However, differences only in LPA were observed among boys with different levels of depression( H=46.48, 10.31, 25.02, 29.54, 30.25, 19.80, 22.20, 9.54, 8.62, 18.06, P <0.05). Multivariate Logistic regression model showed that gender and duration of MVPA were significantly related to risk of depressive symptoms( OR=1.56, 1.42, P <0.05). Conclusion Physical activity among adolescents is significantly related to depressive symptoms. MVPA may be an effective measure to reduce the degree of depressive symptoms.To improve the physical health and prevent depression among adolescents, it is important to choose appropriate physical activity types and effectively increase the duration of MVPA.

Objective: To understand the relationship between family environment and depressive symptoms among adolescent, and to provide a reference for adolescent mental health promotion and intervention. Methods: From September to December in 2021, a questionnaire survey on family environment and depressive symptoms was conducted among 8 102 middle school students by random cluster sampling method in Shanghai, Urumqi, Changsha and Kunming. The Chi square test was used to compare the depression status of students in different family environments. Multivariate Logistic regression analysis was used to explore the relationship between family environment and depressive symptoms. Results: The detection rates of possible depression, likely depression and severe depression in adolescents were 11.2%, 5.9% and 8.4%, respectively. There were significant differences in the detection rate of depression by gender, academic period, urban and rural areas, family forms and only child statu( χ 2=87.60, 27.19, 6.65, 45.59, 4.78, P <0.05). Logistic regression analysis showed that adolescents in single parent families ( OR =1.45) and reorganized families( OR =1.69) were positively correlated with the occurrence of depressive symptoms compared with those in nuclear families( P <0.01). Conclusion Compared with nuclear families, the risks of adolescent depressive symptoms in single parent families and reorganized families are higher. Attention should be paid to the mental health education of teenagers from single parents and reorganized families to ensure the development of their physical and mental health.

Abstract In recent years, mental health problems such as anxiety and depression among adolescents in China have attracted attention from all walks of life. Given that adolescence is a transitional and critical period for individual development, mental health affect the developmental opportunities. Therefore, in the review, the effects of environment, psychosocial factors and behavioral patterns on depressive symptoms are analyzed by combining with the characteristics of physical and mental development among adolescents. It is found that early adolescence and even childhood should be the key period for the prevention and intervention of depression. In order to formulate effective interventions and prevention strategies, it is proposed that future research should combine real situation in China with active exploration of protective factors and early predictors of depression.

Prostate specific membrane antigen (PSMA) radioligand therapy (RLT) is effective in metastatic castration-resistant prostate cancer (mCRPC). However, PSMA RLT can cause radiation damage to salivary glands, especially 225Ac/ 177Lu-PSMA-617. Radiation-related salivary glands damage can cause xerostomia, reduce the quality of life, and even limit the dose of radiopharmaceuticals and reduce the efficacy of tumor treatment. At present, there are few literatures on PSMA RLT related salivary glands damage in China. In this article, radiation-related salivary glands damage and the related protective measures during 225Ac/ 177Lu-PSMA-617 RLT are reviewed based on domestic and foreign studies.

Objective: To investigate the association between mental sub-health and physical fitness of Chinese adolescents, to provide a reference for promoting the physical and mental health of Chinese adolescents. Methods: A total of 16 545 adolescents (13-22 years) were selected by random cluster sampling in six major administrative regions in China. The psychological part of the Multidimensional Sub-health Questionnaire of Adolescents (MSQA) and the physical fitness index test were used to assess mental sub-health and physical fitness, respectively. The chi-square test and Logistic regression analysis were used to analyze and compare the relationships between different levels of physical fitness and mental sub-health. Results: The overall detection rate of mental sub-health status among high-grade physical fitness index adolescents was 11.9%, and the detection rate among low-grade physical fitness index youths was 26.0%, and the difference was statistically significant (χ2=970.73，P<0.05). The overall detection rate among high-grade physical fitness index boys was 11.1%, and that of low-grade physical fitness index boys was 24.4%. The difference was statistically significant (χ2=566.12，P<0.05). The overall detection rate of mental sub-health status among high-level physical fitness index girls was 12.8%, and that among low-level physical fitness index girls was 27.6%, and the difference was statistically significant (χ2=412.25，P<0.05). After adjusting for gender, age, BMI, and region in the Logistic regression model, the detection rate of mental sub-health status of adolescents with low-grade physical fitness index was 2.35 times higher than that of high-grade physical fitness index adolescents(95%CI=2.12-2.61). Conclusion Adolescents with poor physical fitness have a higher risk of mental sub-health.Attention should be paid to adolescent physical fitness development to comprehensively improve physical and mental health development.