Scholarlink

<p>In recent years, adolescent sex offenses in China have been steadily increasing. One key risk factor closely linked to such crimes is child maltreatment, which may hinder the development of empathy. Despite this, limited research has examined the relationship between child maltreatment and dyadic empathy (i.e. cognitive and affective empathy) among adolescents who have committed sexual offenses (ASOs). Additionally, few studies have compared how well different child maltreatment models predict empathy. Thus, this study examined three competing child maltreatment models (latent profile analysis [LPA], multiple individual risk model, and cumulative risk model) to compare their predictive validity for empathy in ASOs and determine the optimal model for explaining empathy variance. The participants comprised a valid sample of 320 ASOs from a juvenile reformatory in western China. The results showed two distinct profiles: “low maltreatment” and “multiple maltreatment”, with the latter exhibiting higher levels across all maltreatment types. Model comparisons revealed that the multiple individual risk model explained the most variance in general and cognitive empathy among ASOs, followed by the cumulative risk model and LPA. Notably, sexual abuse explained the most variance in these empathy dimensions. However, none of the three models significantly explained affective empathy. Given sexual abuse’s strong association with impaired general and cognitive empathy, targeted interventions for low-empathy ASOs are critical to mitigate recidivism.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Comparison of three models of child maltreatment: associations with the empathy of Chinese adolescents who have committed sexual offenses

  • 期刊论文

  • 发表日期：

    2025年5月29日

查看全文
  • Xingyu Chen,
  • Yuping Liu,
  • Feng Wen,
  • Bo Li,
  • Qian Liu,
  • Bo Yang

摘要

In recent years, adolescent sex offenses in China have been steadily increasing. One key risk factor closely linked to such crimes is child maltreatment, which may hinder the development of empathy. Despite this, limited research has examined the relationship between child maltreatment and dyadic empathy (i.e. cognitive and affective empathy) among adolescents who have committed sexual offenses (ASOs). Additionally, few studies have compared how well different child maltreatment models predict empathy. Thus, this study examined three competing child maltreatment models (latent profile analysis [LPA], multiple individual risk model, and cumulative risk model) to compare their predictive validity for empathy in ASOs and determine the optimal model for explaining empathy variance. The participants comprised a valid sample of 320 ASOs from a juvenile reformatory in western China. The results showed two distinct profiles: “low maltreatment” and “multiple maltreatment”, with the latter exhibiting higher levels across all maltreatment types. Model comparisons revealed that the multiple individual risk model explained the most variance in general and cognitive empathy among ASOs, followed by the cumulative risk model and LPA. Notably, sexual abuse explained the most variance in these empathy dimensions. However, none of the three models significantly explained affective empathy. Given sexual abuse’s strong association with impaired general and cognitive empathy, targeted interventions for low-empathy ASOs are critical to mitigate recidivism.