2019冠状病毒病后南非性暴力和基于性别的暴力的混合方法纵向调查。

BMJ public health Pub Date : 2025-04-16 eCollection Date: 2025-01-01 DOI:10.1136/bmjph-2024-001697
Miriam Hartmann, Marie C D Stoner, Simone Storey, Danielle Giovenco, Yanga Zembe Zondi, Nontembeko Qwabe, Anna Mia Ekström, Audrey E Pettifor, Linda Gail Bekker, Anna Kågesten
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引用次数: 0

摘要

背景:在2019冠状病毒病大流行期间,人们对为防止其传播而采取的措施对性暴力和基于性别的暴力(SGBV)产生的意外影响表示担忧。联合国呼吁了解国家封锁如何使年轻人面临性暴力的风险。在南非这样的环境中特别需要这项研究,在那里,先前存在的性暴力水平很高,而且发布的数据有限。方法:这项混合方法的纵向研究描述了家庭层面和伴侣层面的SGBV暴露在6个月内的轨迹,大约是在最初的COVID-19封锁后1年。利用基于群体的轨迹模型,对535名年龄在13-24岁的男性和女性参与者的调查数据和20次深度访谈的定性见解进行了分析。结果:家庭层面和伴侣层面的SGBV均出现了两个轨迹组:(1)SGBV水平持续较低的参与者组(家庭:77.5%;伴侣:89.4%)和(2)基线水平较高的SGBV组,随后下降至中等水平(家庭:22.5%;合作伙伴:10.8%)。与后一类人群显著相关的特征包括:女性、未就业或未上学、粮食不安全以及可能有常见精神障碍的症状。定性数据支持了这些发现,并揭示了积极的家庭沟通技巧的缓解作用,以及在封锁期间通过电话和社交媒体发生的技术促进的伴侣暴力的潜在未测量水平。结论:调查结果应为今后危机时期向持续暴力风险较高的人提供财政、粮食和心理健康支持提供参考。应对技术促成的暴力进行进一步研究,以更好地了解其普遍程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixed-method longitudinal investigation of sexual and gender-based violence following COVID-19 in South Africa.

Background: Throughout the COVID-19 pandemic, concerns were raised about unintended effects of measures taken to prevent its spread, on sexual and gender-based violence (SGBV). The United Nations called for understanding how national lockdowns put young people at risk of SGBV. This research is particularly needed in contexts such as South Africa, where pre-existing levels of SGBV are high and limited data has been released.

Methods: This mixed-method longitudinal study characterised trajectories of household-level and partner-level SGBV exposure over 6 months, approximately 1 year after the initial COVID-19 lockdown. Utilising group-based trajectory modelling, survey data from 535 male and female participants, ages 13-24 and qualitative insights from 20 in-depth interviews were analysed.

Results: Two trajectory groups emerged for both household-level and partner-level SGBV: (1) groups of participants with consistently low SGBV levels (household: 77.5%; partner: 89.4%) and (2) groups with high baseline levels of SGBV, followed by decreases to moderate levels (household: 22.5%; partner: 10.8%). Characteristics significantly associated with the latter groups included being female, not employed or in school, food insecurity and symptoms of probable common mental disorders. Qualitative data supported these findings and revealed the mitigating role of positive household communication skills, along with potentially unmeasured levels of technology-facilitated partner violence, occurring over phones and social media during lockdown.

Conclusions: Findings should inform the targeting of financial, food and mental health support to those at higher risk of ongoing violence during future times of crises. Further research on technology-facilitated violence should be conducted to better understand its prevalence.

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