Child sexual abuse (CSA) has been recognized as a risk factor for sexual dysfunction and has attracted increasing attention. However, controversies remain regarding related research. The aim is to calculate the pooled effect size estimate for the correlation between CSA and sexual dysfunction in adults by meta-analysis. Five bibliographic databases (PubMed, Cochrane Library, Web of Science, Embase, and PsycINFO) were comprehensively searched to clarify the association between CSA and sexual dysfunction in adults. We used a fixed-effects model to determine the total pooled effect size estimate and reported odds ratios (ORs) and the corresponding 95% confidence intervals (CIs). Subgroup analysis, publication bias analysis, and sensitivity analysis were conducted. Adults who had a history of CSA experienced a higher proportion of sexual dysfunction than adults with no history of CSA (OR = 1.68, 95% CI [1.49, 1.87]). Subgroup analysis showed that women with a history of CSA reported a higher proportion of sexual dysfunction than men with a history of CSA (men: OR = 1.45, 95% CI [1.05, 1.84]; women: OR = 1.62, 95% CI [1.42, 1.83]). The estimates of the effect sizes differed substantially depending on the CSA and sexual dysfunction instruments that were used in each study and the region of each sample. This meta-analysis provides conclusive evidence of an association between CSA and sexual dysfunction in adults. Currently known interventions for the treatment of sexual dysfunction after CSA have only been evaluated in women, so specific interventions should be designed for men CSA survivors who experience sexual impairment.
BackgroundSchool bullying may cause sleep disorders in early adolescents. Here, we determined the relationship between school bullying (considering all the features of bullying involvement) and sleep disorders, which are the common problems in Chinese early adolescents.Materials and methodsWe conducted a questionnaire survey among 5,724 middle school students from Xuancheng, Hefei, and Huaibei cities in Anhui province, China. The self-report questionnaires included the Olweus Bully/Victim Questionnaire and Pittsburgh Sleep Quality Index. We used latent class analysis to identify the potential subgroups of bullying behavior. Logistic regression analysis was used to investigate the association between school bullying and sleep disorders.ResultsActive participants in bullying interactions, including the bullies and victims, reported higher levels of sleep disorders compared with the non-active participants [Bully: physical (aOR = 2.62), verbal (aOR = 1.73), relational (aOR = 1.80), and cyber (aOR = 2.08); Victim: physical (aOR = 2.42), verbal (aOR = 2.59), relational (aOR = 2.61), and cyber (aOR = 2.81)]. A dose–response relationship was observed between the number of school bullying types and sleep disorders. In the context of bullying roles, bully-victims had the highest risk of reporting sleep disorders (aOR = 3.07, 95% CI: 2.55–3.69). We identified four potential categories of school bullying behaviors: low involvement in bullying, verbal and relational victims, medium bully-victims, and high bully-victims, and the highest frequency of sleep disorders was observed in the high bully-victims group (aOR = 4.12, 95% CI: 2.94–5.76).ConclusionOur findings indicate a positive correlation between bullying roles and sleep disorders in early adolescents. Therefore, targeted intervention for sleep disorders should include an evaluation of bullying experiences.
Self-harm (SH) increases significantly in early adolescence with great variability, and childhood maltreatment (CM) contributes to this increase. Understanding the developmental pathway from CM to SH could provide clues for SH prevention. This study used latent class analysis (LCA) to detect the phenotype of SH and explored the role of psychological resilience in the pathway from CM to SH phenotype among 5724 early adolescents (52.5% male). Three interpretable phenotypes of SH were identified: low SH (57.8%), medium SH (29.0%), and high SH (13.2%). Furthermore, CM was positively associated with the SH phenotype, psychological resilience mediated the association between CM and the SH phenotype (all ps < 0.01), and a larger mediating effect was observed in the medium SH (22.41%). Our findings offer new perspectives that improving psychological resilience can be used as an efficient intervention to reduce the risk of SH among early adolescents who have experienced CM.
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