1.Difference in the relationship between childhood sexual abuse and sexual orientation among college students
ZHANG Tingting, CHEN Liru, XIE Guodie, YUAN Mengyuan, CHANG Junjie, LI Yonghan, SU Puyu
Chinese Journal of School Health 2021;42(5):705-708
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.
2.Research progress of adolescent cyberbullying
LI Yonghan,CHANG Junjie,YUAN Mengyuan,SU Puyu
Chinese Journal of School Health 2021;42(11):1751-1756
Abstract
Adolescent cyberbullying refers to adolescents who are subjected to offensive and violent behavior in social network environments through electronic technologies. Due to the anonymity of the Internet and the rapidity of transmission, cyberbullying has a serious and far reaching impact on the physical and mental health of teenagers. With the development of information technology, various forms of cyberbullying have emerged, and the formation mechanism and influencing factors of cyberbullying are diverse and complex. This article systematically reviews the research progress in cyberbullying by evaluating the epidemic characteristics, influencing factors, and related theoretical models that are relevant to adolescents, so as to provide a referential framework to build a public health system that can prevent cyberbullying in families, schools, and society.
3.Association between acute stress response and peer bullying behaviors among middle school students
Chinese Journal of School Health 2022;43(10):1462-1466
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 COVID19 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.
4.Mediating role of depression symptom in the association among peer bullying and suicidal ideation in junior high school students
CHEN Shanshan, HE Yang, YUAN Mengyuan, LI Yonghan, CHANG Junjie, WANG Gengfu, SU Puyu
Chinese Journal of School Health 2022;43(10):1456-1461
Objective:
To explore the mediating effect of depressive symptom on the relationship between peer bullying patterns and suicidal ideation, and to provide suggestions for school bullying and suicide prevention for adolescents.
Methods:
A follow up cohort was established in a junior middle school in Suixi County, Anhui Province in September 2019 (T1). The first follow up was conducted in September 2020 (T2). A total of 1 687 junior high school students participated in this study. Self designed peer bullying questionnaire,center for Epidemiological Studies Depression Scale for children,and questions regarding suicide related behaviors were administered.
Results:
Prevalence of suicidal ideation, victimization and bullying were 28.3%, 27.0% and 24.4%, respectively. The latent class analysis(LCA) identified three heterogeneous peer bullying classes: low aggressive victims(71.4%), high aggressive victims(3.3%), high verbal and relational aggressive victims( 25.3 %). The low aggressive victims class was used as the reference group, T1 depressive symptom mediated the association between high aggressive victims(mediating effect=0.43, P < 0.05 ), high verbal and relational aggressive victims class (mediating effect= 0.29 , P <0.05) and T2 suicidal ideation.
Conclusion
Depressive symptom plays a mediating role in the relationship between peer bullying and suicidal ideation. In order to prevent peer bullying and suicide related psychological behaviors of adolescents, educators should pay attention to adolescents mental health when formulating corresponding measures.
5.A longitudinal cross lagged study of the predictive effect of adolescent peer bullying on depressive symptoms
Chinese Journal of School Health 2022;43(10):1472-1475
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.