亲密伴侣暴力和自杀死亡率:使用机器学习和自然语言处理对43个州自杀数据的横截面研究
Julie M Kafka1,2,3, Kathryn Elizabeth Moracco4,3, Brian W Pence3,5
1Health Behavior, University of North Carolina at Chapel Hill Gillings School of Global Public Health, Chapel Hill, North Carolina, USA jkafka@uw.edu.
概括
亲密伴侣暴力 (IPV) 与美国7.1%的自杀有关. 在自杀案件中识别IPV情况可以帮助预防工作.
科学领域:
- 公共卫生 公共卫生
- 犯罪学 犯罪学
- 社会学 社会学 社会学
背景情况:
- 亲密伴侣暴力 (IPV) 是一种已知的自杀念头的风险因素.
- 由于数据有限,IPV对自杀死亡率的确切贡献仍未得到充分研究.
研究的目的:
- 为了确定美国IPV相关自杀的流行率.
- 确定IPV相关自杀的人口和情境相关性.
主要方法:
- 利用了2015-2019年国家暴力死亡报告系统 (NVDRS) 的数据.
- 采用自然语言处理和文本审查来识别死亡叙述中的IPV情况.
- 进行了后勤回归分析,以比较IPV相关的自杀与非IPV自杀,按性别分层.
主要成果:
- IPV情况与7.1%的自杀事件有关 (n=9210).
- 与IPV相关的自杀在具有民事或刑事法律问题和使用枪支的个人中更为常见.
- 在目前有心理健康问题的人群中,IPV情况不太常见.
结论:
- IPV对自杀死亡率做出了重大贡献.
- 与IPV相关的自杀是自杀死亡的一个明显子集.
- 在相关环境中对IPV进行查和干预可能有助于预防自杀.
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