乌干达北部女性性工作者耻辱的多维分析:主成分和因素分析。

IF 2.9
Women's health (London, England) Pub Date : 2025-01-01 Epub Date: 2025-05-31 DOI:10.1177/17455057251341729
Amir Kabunga, Felix Bongomin, Vella Ayugi, Eustes Kigongo
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引用次数: 0

摘要

背景:女性性工作者(FSWs)面临着严重的耻辱,这阻碍了她们获得医疗保健、社会支持和基本人权。污名化往往伴随着刑事定罪、暴力和歧视态度,特别是在乌干达北部等低收入地区。目的:本研究旨在分析乌干达北部Gulu市fsw中耻辱感的潜在维度,为有针对性的干预措施提供见解。设计:2023年2月至3月在乌干达北部Gulu市进行了一项基于社区的横断面研究。方法:共有314名年龄在18-49岁的FSWs参与研究,有效率为83.9%。参与者是从酒吧、妓院、街道和社区卫生中心等热点地区连续抽样招募的。数据通过面对面访谈收集,使用预先测试的半结构化问卷。描述性统计总结了社会人口和经济特征。采用变异旋转主成分分析(PCA)鉴定柱头的主要成分。因子保留由特征值>1.0、筛选图分析和因子加载大于或等于0.35指导。采用Cronbach’s alpha评估信度。多变量分析检验了病耻感与人口学变量之间的关系。结果:参与者的平均年龄为28.8岁(标准差= 6.4),大多数完成了小学教育(46.2%)。大多数人居住在城市地区(93.3%),70.7%的人报告遭受过客户的暴力。PCA确定了病耻感的三个关键维度:社会病耻感、医疗相关病耻感和自我病耻感。社会污名包括社区排斥和歧视,而与卫生保健有关的污名涉及卫生环境中的消极态度和经历。自我耻辱反映了参与者的内化羞耻感和自我价值的降低。三个分量解释的累积方差为67.2%,具有较强的内部信度(Cronbach’s alpha = 0.88)。与污名显著相关的因素包括年龄、教育程度和暴力经历(p < 0.05)。结论:鼓卢市外来务工人员的病耻感是多方面的,这表明迫切需要采取整体干预措施。解决社区耻辱感,改善卫生保健提供者的态度,并提供社会心理支持以减少自我耻辱感,对于改善健康结果和生活质量至关重要。PCA的使用提供了一个强大的框架来揭示关键的病耻感维度并指导量身定制的干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Multidimensional analysis of stigma among female sex workers in Northern Uganda: Principal component and factor analyses.

Multidimensional analysis of stigma among female sex workers in Northern Uganda: Principal component and factor analyses.

Multidimensional analysis of stigma among female sex workers in Northern Uganda: Principal component and factor analyses.

Multidimensional analysis of stigma among female sex workers in Northern Uganda: Principal component and factor analyses.

Background: Female sex workers (FSWs) face significant stigma, which hinders their access to healthcare, social support, and fundamental human rights. Stigma is often compounded by criminalization, violence, and discriminatory attitudes, particularly in low-income regions like Northern Uganda.

Objectives: This study aims to analyze the underlying dimensions of stigma among FSWs in Gulu City, Northern Uganda, to provide insights for targeted interventions.

Design: A community-based cross-sectional study was conducted from February to March 2023 in Gulu City, Northern Uganda.

Methods: A total of 314 FSWs aged 18-49 years participated in the study, yielding a response rate of 83.9%. Participants were recruited using consecutive sampling from hotspots such as bars, brothels, streets, and community health centers. Data were collected through face-to-face interviews using a pre-tested semi-structured questionnaire. Descriptive statistics summarized sociodemographic and economic characteristics. Principal component analysis (PCA) with varimax rotation was applied to identify the primary components of stigma. Factor retention was guided by eigenvalues >1.0, scree plot analysis, and factor loadings ⩾0.35. Reliability was assessed using Cronbach's alpha. Multivariate analysis examined the association between stigma and demographic variables.

Results: The mean age of participants was 28.8 years (standard deviation = 6.4), with most having completed primary education (46.2%). A majority resided in urban areas (93.3%), and 70.7% reported experiencing violence from clients. PCA identified three key dimensions of stigma: social stigma, healthcare-related stigma, and self-stigma. Social stigma encompassed community rejection and discrimination, while healthcare-related stigma involved negative attitudes and experiences within health settings. Self-stigma reflected internalized shame and reduced self-worth among participants. The cumulative variance explained by the three components was 67.2%, with strong internal reliability (Cronbach's alpha = 0.88). Factors significantly associated with stigma included age, education level, and experience of violence (p < 0.05).

Conclusion: The multidimensional nature of stigma among FSWs in Gulu City highlights the urgent need for holistic interventions. Addressing community stigma, improving healthcare provider attitudes, and offering psychosocial support to reduce self-stigma are critical for improving health outcomes and quality of life. The use of PCA provided a robust framework to uncover key stigma dimensions and guiding tailored interventions.

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