Objective: To explore the association between peer victimization and psychotic like experiences (PLEs) among junior high school students, so as to provide a scientific basis for preventing adolescent PLEs. Methods: In January 2024, a method of combining convenient sampling with cluster sampling was used to survey 2 760 students from two ordinary junior high schools in southern Anhui Province (Susong Country,Anqing City). The Community Assessment of Psychic Experiences (CAPE) and the Adolescent Peer Bullying Scale were employed to assess PLEs with different symptoms and peer victimization (verbal, physical, relational, and cyberbullying). Multivariate Logistic regression models analyzed the associations of different types peer victimization and PLEs with different symptoms. Results: The prevalence of PLEs was 17.5%, with delusional (15.4%) and hallucinatory (7.4%) symptoms being most common. Peer victimization was reported by 51.3% of students (49.6% victims, 19.5% perpetrators), with verbal victimization being most frequent (42.4% victims, 15.5% perpetrators) and cyberbullying least frequent (6.0% victims, 1.9 % perpetrators). Compared to students without bullying,students exposed to bullying showed significantly higher rates of delusional ( χ 2=29.09-127.22), hallucinatory ( χ 2=27.23-72.29), and overall PLEs ( χ 2=34.32-127.25) (all P <0.01). After adjusting for relevant confounding factors,the multiple Logistic regression model revealed verbal victimization increased risks of delusions ( OR=1.59, 95%CI =1.22-2.09), hallucinations ( OR=1.94, 95%CI =1.33-2.84), and overall PLEs ( OR=1.62, 95%CI = 1.26- 2.09); relational victimization was associated with delusions ( OR=1.83, 95%CI =1.40-2.39) and PLEs ( OR=1.65, 95% CI = 1.28-2.13); physical victimization correlated with hallucinations ( OR=1.64, 95%CI =1.12-2.40) and PLEs ( OR=1.41, 95%CI =1.06-1.87) (all P <0.05). Conclusion Specific types of peer victimization are differentially associated with PLEs, with relational victimization demonstrating the strongest association.

Objective: This study aimed to explore the relationship between childhood sexual abuse (CSA) and sexual orientation among college students, and to explore possible sex difference. Methods: By using multi-stage stratified cluster sampling method, 4 034 students were selected from 4 college schools. Self-made questionnaire was used to collect the demographic information, CSA experiences and sexual orientation. Logistic regression models were conducted to examine sex differences in the relationship between different types and timing of CSA and sexual orientation. Results: The reporting rates of heterosexual, homosexual, bisexual and asexual orientation of college students were 93.2%, 0.7%, 3.7% and 2.4%, respectively. For males, contact CSA (OR=14.70, 95%CI=5.73-37.72), both contact and noncontact CSA (OR=4.33,95%CI=1.91-9.84) in elementary school or earlier were associated with sexual orientaion. non-contact CSA (OR=4.20, 95%CI=2.21-7.98), both contact and noncontact CSA (OR=3.57, 95%CI=1.65-7.70) in middle school were related to sexual orientation. However, for females, non-contact CSA (OR=1.78, 95%CI=1.02-3.13) and both contact and non-contact CSA (OR=3.13, 95%CI=1.35-7.23) in elementary school or earlier were associated with sexual orientation. Conclusion CSA experiences are associated with sexual orientation in sex-specific manner, with significant stronger association among males.

Objective: To explore the association between acute stress response during the outbreak of COVID 19 and peer bullying behaviors during the normalized management of COVID 19 among middle school students, and to provide a basis for developing relevant measures for peer bullying prevention. Methods: In December 2020, a total of 2 219 students from two junior middle schools in South Anhui(Xuancheng City) and North Anhui(Huaibei City), were selected to participate in this study by using the cluster sampling method. The occurrence of verbal bullying, relational bullying, physical bullying and cyberbullying behaviors among victims and perpetrators of bullying, and self rated acute stress response during the outbreak of COVID 19 (social isolation) were investigated. Multiple Logistic regression models were conducted to explore the relationship between different levels of acute stress response during the COVID 19 outbreak and peer bullying behaviors among middle school students. Results: The reported rate of peer bullying, being bullied by others and bullying others during the COVID19 normalized management were 65.8%, 63.8% and 27.1%, respectively. The reporting rate of verbal bullying victimization was the highest (54.8%) and cyberbullying others was the lowest (4.6%). The mean score of acute stress response among middle school students during the COVID 19 outbreak was (6.50±1.67). Except for physically bullying others, the reported rate of other bullying behaviors was the highest in the high level acute stress response group ( P <0.05). Multiple Logistic regression models showed that high levels of acute stress response were associated with high risk of verbal bullying victimization ( OR =1.38), relational bullying victimization ( OR =2.28), physical bullying victimization ( OR =1.87) and cyberbullying victimization ( OR =2.30) after adjusting for related confounders. In the high level acute stress response group, verbal bullying ( OR =1.80), relational bullying ( OR =1.99), physical bullying ( OR =1.76) and cyberbullying ( OR =2.32) had higher risks of bullying others than in the low level acute stress response group ( P <0.05). Conclusion High levels of acute stress response are associated with different peer bullying behaviors, with stronger associations with cyberbullying.

Objective: To explore the relationship between different types of bullying behavior and depressive symptoms among adolescents, and to provide scientific basis for further prevention of peer bullying. Methods: Based on the follow up data of 1 687 adolescents from Huaibei City, Anhui Province in September 2019 (T1) and September 2020 (T2), the autoregressive cross lagged analysis was employed to explore the relationship between different types of peer bullying and depressive symptoms. Results: The scores of bullying behaviors (physical bullying, verbal bullying, relational bullying and cyber bullying) and depressive symptoms at T2 were lower than those at T1,and the differences were statistically significant ( t =13.60, 8.61,7.24,3.76,8.29, P <0.01). There was a positive correlation between bullying behavior and depressive symptoms ( P <0.01). The results from cross lagged regression analysis showed that physical, verbal, relational and cyber bullying at T1 could positively predict depressive symptoms at T2 ( β = 0.06 , 0.04, 0.12, 0.05), and physical, verbal, relational and cyber bullying at T1 could positively predict depressive symptoms at T2 ( β =0.07, 0.10, 0.13, 0.10) ( P <0.05). Conclusion There were bidirectional associations between adolescent peer bullying and depressive symptoms.