National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Child Abuse Negl. 2022 Dec;134:105927. doi: 10.1016/j.chiabu.2022.105927. Epub 2022 Oct 13.
Globally, adolescent girls and young women (AGYW) are disproportionately impacted by economic, demographic, and social factors associated with a wide range of negative outcomes.
The objective of this study was to use latent class analysis (LCA) to identify groupings of AGYW in Lesotho based on patterns of gendered risk factors, and to assess the association between the identified groupings and intimate partner violence (IPV) and low educational attainment.
Data were from the 2018 Lesotho Violence Against Children and Youth Survey. AGYW reported gendered risk factors: teen pregnancy, child marriage, intergenerational sex, early sexual debut, being HIV positive, transactional sex, endorsement of one or more negative traditional gender norms, and one or more norms supportive of violence against women.
LCA identified latent classes of eight gendered risk factors. Multivariable logistic regression assessed associations between latent classes and IPV victimization and low educational attainment.
A three-class solution was selected, and classes were named as: Low Risk class, Behavioral Risk class, and Attitudinal Risk class. Odds of low educational attainment and IPV were higher in the Attitudinal Risk class than the Low Risk class. Odds of low educational attainment and IPV were higher in the Behavioral Risk class than the Low Risk class and the Attitudinal Risk class.
In Lesotho, gendered risk factors form distinct classes that have variable associations with low educational attainment and IPV. LCA can be an important approach to better understand the complicated relationship gendered risk factors have with each other and with certain outcomes, to further elucidate the influence that gender has on the health of AGYW and to provide more targeted prevention programming.
在全球范围内,少女和年轻妇女(AGYW)受到与一系列负面结果相关的经济、人口和社会因素的不成比例影响。
本研究旨在使用潜在类别分析(LCA)根据性别风险因素的模式,对莱索托的 AGYW 进行分组,并评估确定的分组与亲密伴侣暴力(IPV)和低教育程度之间的关联。
数据来自 2018 年莱索托暴力侵害儿童和青年调查。AGYW 报告了性别风险因素:少女怀孕、童婚、代际性行为、性初开早、艾滋病毒阳性、性交易、对一种或多种负面传统性别规范的认可,以及一种或多种支持对妇女暴力的规范。
LCA 确定了八种性别风险因素的潜在类别。多变量逻辑回归评估了潜在类别与 IPV 受害和低教育程度之间的关联。
选择了三类别解决方案,并将类别命名为:低风险类别、行为风险类别和态度风险类别。与低风险类别相比,态度风险类别的低教育程度和 IPV 的几率更高。与低风险类别和态度风险类别相比,行为风险类别的低教育程度和 IPV 的几率更高。
在莱索托,性别风险因素形成不同的类别,与低教育程度和 IPV 的关联程度不同。LCA 可以是一种重要的方法,可以更好地理解性别风险因素彼此之间以及与某些结果之间的复杂关系,进一步阐明性别对 AGYW 健康的影响,并提供更有针对性的预防计划。