• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

塞内加尔女性生殖器切割趋势:我们能从撒哈拉以南非洲国家的连续家庭调查中学到什么?

Trends in female genital mutilation/cutting in Senegal: what can we learn from successive household surveys in sub-Saharan African countries?

机构信息

Department of Mathematics, Physics and Electrical Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.

Division of Epidemiology and Biostatistics, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.

出版信息

Int J Equity Health. 2019 Jan 30;18(1):25. doi: 10.1186/s12939-018-0907-9.

DOI:10.1186/s12939-018-0907-9
PMID:30700330
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6354388/
Abstract

BACKGROUND

Over the last several decades, global efforts to end female genital mutilation/cutting (FGM/C) have intensified through combined efforts of international and non-governmental organizations, governments, and religious and civil society groups. One question asked by donors, program implementers and observers alike is whether there is any evidence that FGM/C is declining. In the last two decades, reliable data have been generated in numerous countries through major household surveys, including repeat cross-sectional surveys. What can we learn from these data? We explore this question by analyzing data on FGM/C obtained from women aged 15-49 in two successive household surveys in Senegal (2005 and 2010-11). The aggregate national-level statistics suggest that there has been no significant change in the prevalence of FGM/C among adult women. These figures are, however, unadjusted for potentially confounding factors, and potentially mask important variation in the practice. This paper aims to provide a deeper understanding of trends in FGM/C across regions, and possibly across generations, providing evidence as to when and where the practice of FGM/C is changing. We aim to answer the following questions: 1. What are the trends in FGM/C among women across Senegal and within regions? 2. Are individual characteristics, such as education, wealth and ethnicity, associated with a likelihood of FGM/C? 3. Are community-level factors, captured by covariate-adjusted geographic estimates, important predictors of a likelihood of FGM/C, as predicted by social convention theory?4. After adjusting for individual- and community-level factors, do we see a decrease in the prevalence of FGM/C across generations of women in Senegal?

METHODS

Participants were 14,602 and 14,228 respondents from two consecutive Senegal Demographic and Health Surveys from 2005 to 2010 (FGM/C prevalence 30.1% in 2005 and 28.1% in 2010). A Bayesian geo-additive mixed model based on Markov Chain Monte Carlo techniques was used to map the change in the spatial distribution of FGM/C prevalence at the regional level during the five-year period, while simultaneously examining the effect of individual-level risk factors.

RESULTS

Overall, the prevalence of FGM/C at that national level changed little over the 5-year period, but the fully-adjusted model and map of trends in residual spatial effects at the regional level reveal important spatial patterns. Across both survey periods, several high prevalence regions remained "hot spots," bearing a consistently high FGM/C prevalence. These include Kolda (along with the newly subdivided region of Sédhiou in 2010), Tambacounda (along with the newly subdivided region of Kédougou in 2010), and Matam. At the same time, risk remained not significant in the high prevalence regions of Saint Louis and Zinguinchor and was attenuated between 2005 and 2010-11 in Kaolack (including the newly subdivided region of Kaffrine in 2010), shifting from not significant risk in 2005 to a very low FGM/C prevalence in 2010-11. In both surveys, unadjusted estimates of the effect of age show no significant difference in risk of FGM across age cohorts. However, non-parametric covariate-adjusted estimates show that in both surveys age is a significant risk factor for FGM/C, although not in the anticipated direction. The effect of age on prevalence of FGM/C is highest in women aged 15-20, and declines with increasing age. Other significant factors are socio-demographic variables, particularly ethnicity.

CONCLUSIONS

Findings from two consecutive surveys reveal that while no significant changes in FGM/C prevalence are found at the national level, mixed changes are visible at the regional level, as well as at the individual level. The modelled covariate results confirmed that the patterns of FGM/C differ markedly with region of residence and age remaining significant risk factors in both surveys, suggesting that community factors (convention theory), above and beyond individual factors, play a crucial role in the perpetuation, spread or decline of the practice of FGM/C. There is a clear pattern of regions with higher prevalence of FGM/C, mostly the south-eastern region of Tambacounda, Kolda and Matam in 2005, including the eastern region of Kédougou and the southern region of Sédhiou in 2010, which were associated with a higher prevalence of FGM/C, while regions  such as Louga, Thiès, Diourbel, Kaolack and Fatick in 2005 and Louga, Thiès, Diourbel, Fatick, Kaolack and Kaffrine in 2010 were associated with a lower prevalence of FGM/C. However, the total spatial residuals in both surveys also indicate that much of the variation in FGM/C likelihood remains to be explained. The spatial effects of the Kaolack region in 2005 was greatly attenuated after multiple adjustments of other risk factors indicating that perhaps the higher number of FGM/C affected women living in the region was inflated by other factors such as ethnicity, socio-economic status and education. Overall, the results indicate that across surveys, certain high prevalence regions remain "hot spots" regarding FGM/C prevalence. These novel findings fit with predictions of theory on social norms and conventions which suggest that the practice is upheld by interdependent expectations regarding the practice, and when such expectations are challenged within a community, the possibility for abandonment is opened.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/edc50dc9099a/12939_2018_907_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/550d28ff69f9/12939_2018_907_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/00e08f4ebd4c/12939_2018_907_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/2832b7345532/12939_2018_907_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/8560f308d6d4/12939_2018_907_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/edc50dc9099a/12939_2018_907_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/550d28ff69f9/12939_2018_907_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/00e08f4ebd4c/12939_2018_907_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/2832b7345532/12939_2018_907_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/8560f308d6d4/12939_2018_907_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f78/6354388/edc50dc9099a/12939_2018_907_Fig5_HTML.jpg
摘要

背景

在过去几十年中,通过国际组织和非政府组织、政府以及宗教和民间社会团体的共同努力,全球消除女性生殖器官切割(FGM/C)的力度不断加大。捐赠者、方案执行者和观察员共同提出的一个问题是,是否有证据表明 FGM/C 正在减少。在过去二十年中,通过包括重复横断面调查在内的多项国家层面的大型家庭调查已经产生了可靠的数据。我们能从这些数据中学到什么?我们通过分析塞内加尔 2005 年和 2010-11 年连续两次家庭调查中 15-49 岁女性的 FGM/C 数据来探讨这个问题。全国层面的汇总统计数据表明,成年女性中 FGM/C 的流行率没有显著变化。这些数字未经潜在混杂因素调整,可能掩盖了该实践的重要变化。本文旨在更深入地了解 FGM/C 在不同地区和可能跨越代际的趋势,提供有关何时何地 FGM/C 实践正在发生变化的证据。我们旨在回答以下问题:1. 塞内加尔女性的 FGM/C 趋势如何? 2. 教育、财富和种族等个体特征是否与 FGM/C 的可能性相关? 3. 社区层面的因素,通过调整后的地理估计捕获,是否是 FGM/C 可能性的重要预测因素,正如社会规范理论所预测的那样?4. 在调整了个体和社区层面的因素后,我们是否看到塞内加尔女性一代一代中 FGM/C 的流行率下降?

方法

参与者为 2005 年至 2010 年连续两次塞内加尔人口与健康调查中的 14602 名和 14228 名受访者(2005 年 FGM/C 流行率为 30.1%,2010 年为 28.1%)。使用基于马尔可夫链蒙特卡罗技术的贝叶斯地理附加混合模型来绘制 FGM/C 流行率在五年期间在区域层面上的变化,同时检查个体风险因素的影响。

结果

总体而言,全国层面的 FGM/C 流行率在五年期间变化不大,但完全调整后的模型和区域层面上剩余空间效应趋势的地图揭示了重要的空间模式。在两个调查期间,几个高流行率地区仍然是“热点”地区,保持着一贯的高 FGM/C 流行率。这些地区包括科尔达(2010 年新细分的塞迪乌地区)、坦巴昆达(2010 年新细分的凯杜古地区)和马塔姆。与此同时,在圣路易和济金绍尔的高流行率地区,风险仍然不显著,并且在 2005 年至 2010-11 年期间在卡奥拉克(包括 2010 年新细分的卡弗里内地区)减弱,风险从 2005 年的不显著转变为 2010-11 年的非常低的 FGM/C 流行率。在两次调查中,年龄的未调整估计显示年龄对 FGM/C 风险没有显著差异。然而,非参数调整后的估计表明,年龄在两次调查中都是 FGM/C 的一个重要风险因素,尽管不是预期的方向。FGM/C 流行率在 15-20 岁女性中最高,随着年龄的增长而下降。其他重要的因素是社会人口变量,特别是种族。

结论

两项连续调查的结果表明,尽管在全国层面上没有发现 FGM/C 流行率的显著变化,但在区域层面以及个体层面上都出现了混合变化。建模的协变量结果证实,FGM/C 的模式在很大程度上因居住地区而异,年龄仍然是两个调查中的重要风险因素,这表明社区因素(规范理论),除了个体因素之外,在 FGM/C 的延续、传播或减少方面起着至关重要的作用。存在着一个明显的高流行率地区模式,主要是 2005 年的坦巴昆达、科尔达和马塔姆东南部地区,包括 2010 年的凯杜古东部地区和塞迪乌南部地区,这些地区与更高的 FGM/C 流行率相关,而卢加、捷斯、迪奥尔贝尔、卡奥拉克和法蒂克等地区在 2005 年和 2010-11 年期间与较低的 FGM/C 流行率相关。然而,两次调查的总空间残差也表明,FGM/C 可能性的很大一部分仍然需要解释。2005 年卡奥拉克地区的空间效应在对其他风险因素进行多次调整后大大减弱,这表明该地区受 FGM/C 影响的女性人数可能因其他因素(如种族、社会经济地位和教育)而膨胀。总的来说,结果表明,在两次调查中,某些高流行率地区仍然是 FGM/C 流行率的“热点”地区。这些新发现与关于社会规范和习俗的理论预测相吻合,这些理论预测表明,该习俗是由对该习俗的相互依存的期望所维持的,当社区内部对这种期望提出挑战时,放弃该习俗的可能性就会出现。

相似文献

1
Trends in female genital mutilation/cutting in Senegal: what can we learn from successive household surveys in sub-Saharan African countries?塞内加尔女性生殖器切割趋势:我们能从撒哈拉以南非洲国家的连续家庭调查中学到什么?
Int J Equity Health. 2019 Jan 30;18(1):25. doi: 10.1186/s12939-018-0907-9.
2
Analysing Normative Influences on the Prevalence of Female Genital Mutilation/Cutting among 0-14 Years Old Girls in Senegal: A Spatial Bayesian Hierarchical Regression Approach.分析塞内加尔 0-14 岁女孩女性生殖器切割流行率的规范性影响:空间贝叶斯分层回归方法。
Int J Environ Res Public Health. 2021 Apr 6;18(7):3822. doi: 10.3390/ijerph18073822.
3
Evaluating changes in the prevalence of female genital mutilation/cutting among 0-14 years old girls in Nigeria using data from multiple surveys: A novel Bayesian hierarchical spatio-temporal model.利用多轮调查数据评估尼日利亚 0-14 岁女孩女性生殖器切割流行率的变化:一种新的贝叶斯层次时空模型。
PLoS One. 2021 Feb 12;16(2):e0246661. doi: 10.1371/journal.pone.0246661. eCollection 2021.
4
A Spatial Analysis of the Prevalence of Female Genital Mutilation/Cutting among 0-14-Year-Old Girls in Kenya.肯尼亚 0-14 岁女童外阴残割/切割流行率的空间分析。
Int J Environ Res Public Health. 2019 Oct 28;16(21):4155. doi: 10.3390/ijerph16214155.
5
Geographic variation of female genital mutilation and legal enforcement in sub-Saharan Africa: a case study of Senegal.撒哈拉以南非洲女性生殖器切割的地理差异与法律执行情况:以塞内加尔为例
Am J Trop Med Hyg. 2015 Apr;92(4):838-847. doi: 10.4269/ajtmh.14-0074. Epub 2015 Mar 2.
6
Socio-economic and demographic determinants of female genital mutilation in sub-Saharan Africa: analysis of data from demographic and health surveys.撒哈拉以南非洲地区女性外阴残割的社会经济和人口决定因素:来自人口与健康调查的数据分析。
Reprod Health. 2020 Oct 22;17(1):162. doi: 10.1186/s12978-020-01015-5.
7
Geographic Variation and Factors Associated with Female Genital Mutilation among Reproductive Age Women in Ethiopia: A National Population Based Survey.埃塞俄比亚育龄妇女中女性生殖器切割的地理差异及相关因素:一项基于全国人口的调查
PLoS One. 2016 Jan 7;11(1):e0145329. doi: 10.1371/journal.pone.0145329. eCollection 2016.
8
Trends and Spatio-temporal variation of female genital mutilation among reproductive-age women in Ethiopia: a Spatio-temporal and multivariate decomposition analysis of Ethiopian demographic and health surveys.趋势和生殖年龄妇女中女性生殖器切割的时空变化:埃塞俄比亚人口与健康调查的时空和多变量分解分析。
BMC Public Health. 2020 May 19;20(1):719. doi: 10.1186/s12889-020-08882-4.
9
Changing prevalence and factors associated with female genital mutilation in Ethiopia: Data from the 2000, 2005 and 2016 national demographic health surveys.埃塞俄比亚女性生殖器切割流行率的变化及其相关因素:来自 2000、2005 和 2016 年全国人口健康调查的数据。
PLoS One. 2020 Sep 3;15(9):e0238495. doi: 10.1371/journal.pone.0238495. eCollection 2020.
10
Hotspots of female genital mutilation/cutting and associated factors among girls in Ethiopia: a spatial and multilevel analysis.埃塞俄比亚女性外阴残割/切割热点及其与女孩相关因素的空间和多水平分析。
BMC Public Health. 2021 Jan 21;21(1):186. doi: 10.1186/s12889-021-10235-8.

引用本文的文献

1
Trends in female genital mutilation (FGM) among Senegalese women and their daughters : a secondary analysis of Senegal DHS from 2015 to 2023.塞内加尔女性及其女儿的女性生殖器切割趋势:对2015年至2023年塞内加尔人口与健康调查的二次分析
BMC Public Health. 2025 Aug 19;25(1):2830. doi: 10.1186/s12889-025-23975-8.
2
A robust cross-sectional assessment of the impacts of COVID-19 pandemic on the prevalence of female genital mutilation among 0-14 years old girls in Nigeria.对新冠疫情对尼日利亚0至14岁女孩女性生殖器切割流行率影响的有力横断面评估。
Womens Health (Lond). 2025 Jan-Dec;21:17455057241311948. doi: 10.1177/17455057241311948. Epub 2025 May 26.
3

本文引用的文献

1
Secular trends in the prevalence of female genital mutilation/cutting among girls: a systematic analysis.女孩中女性生殖器切割/环切流行率的长期趋势:一项系统分析。
BMJ Glob Health. 2018 Nov 6;3(5):e000549. doi: 10.1136/bmjgh-2017-000549. eCollection 2018.
2
The role of older women in contesting norms associated with female genital mutilation/cutting in Senegambia: A factorial focus group analysis.老年女性在塞内加尔和冈比亚挑战与女性割礼相关规范方面的作用:析因焦点小组分析。
PLoS One. 2018 Jul 25;13(7):e0199217. doi: 10.1371/journal.pone.0199217. eCollection 2018.
3
Legislating Change? Responses to Criminalizing Female Genital Cutting in Senegal.
Prevalence and factors associated with female genital mutilation among daughters using Somalia Demographic Health Survey Data, SDHS 2020.
利用2020年索马里人口与健康调查(SDHS)数据分析接受女性生殖器切割的女儿的患病率及相关因素
Aten Primaria. 2025 Apr;57(4):103113. doi: 10.1016/j.aprim.2024.103113. Epub 2024 Nov 5.
4
Comparison of FGM prevalence among Nigerian women aged 15-49 years using two household surveys conducted before and after the COVID-19 pandemic.比较 COVID-19 大流行前后两次家庭调查中尼日利亚 15-49 岁女性中 FGM 的流行率。
BMC Public Health. 2024 Jul 12;24(1):1866. doi: 10.1186/s12889-024-19069-6.
5
Variations in the Prevalence of Female Genital Mutilation Among Reproductive-aged Women in Nigeria Across Three Generations.尼日利亚三代育龄妇女中女性生殖器切割流行率的变化
Int J MCH AIDS. 2022;11(2):e548. doi: 10.21106/ijma.548. Epub 2022 Aug 30.
6
Factors associated with female genital mutilation: a systematic review and synthesis of national, regional and community-based studies.与女性生殖器切割相关的因素:基于国家、地区和社区研究的系统综述和综合分析。
BMJ Sex Reprod Health. 2022 Jul;48(3):169-178. doi: 10.1136/bmjsrh-2021-201399. Epub 2022 Mar 9.
7
Analysing Normative Influences on the Prevalence of Female Genital Mutilation/Cutting among 0-14 Years Old Girls in Senegal: A Spatial Bayesian Hierarchical Regression Approach.分析塞内加尔 0-14 岁女孩女性生殖器切割流行率的规范性影响:空间贝叶斯分层回归方法。
Int J Environ Res Public Health. 2021 Apr 6;18(7):3822. doi: 10.3390/ijerph18073822.
8
Changes in the prevalence and trends of female genital mutilation in Iraqi Kurdistan Region between 2011 and 2018.2011 年至 2018 年伊拉克库尔德斯坦地区女性外阴残割流行率和趋势的变化。
BMC Womens Health. 2021 Apr 1;21(1):137. doi: 10.1186/s12905-021-01282-9.
9
Trends and Determinants of Female Genital Mutilation in Ethiopia: Multilevel Analysis of 2000, 2005 and 2016 Ethiopian Demographic and Health Surveys.埃塞俄比亚女性生殖器切割的趋势与决定因素:对2000年、2005年和2016年埃塞俄比亚人口与健康调查的多层次分析
Int J Womens Health. 2021 Jan 6;13:19-29. doi: 10.2147/IJWH.S287643. eCollection 2021.
10
Do educated women in Sierra Leone support discontinuation of female genital mutilation/cutting? Evidence from the 2013 Demographic and Health Survey.塞拉利昂受过教育的女性支持停止女性生殖器切割吗?来自 2013 年人口与健康调查的证据。
Reprod Health. 2020 Nov 7;17(1):174. doi: 10.1186/s12978-020-01027-1.
立法变革?塞内加尔对女性生殖器切割定罪的回应。
Law Soc Rev. 2013 Dec 1;47(4):803-835. doi: 10.1111/lasr.12044.
4
Spatial distribution of female genital mutilation in Nigeria.尼日利亚女性生殖器切割的空间分布。
Am J Trop Med Hyg. 2009 Nov;81(5):784-92. doi: 10.4269/ajtmh.2009.09-0129.
5
Conformity and change: community effects on female genital cutting in Kenya.顺应与变革:肯尼亚社区对女性生殖器切割习俗的影响
J Health Soc Behav. 2005 Jun;46(2):121-40. doi: 10.1177/002214650504600201.
6
Multilevel modelling of the geographical distributions of diseases.疾病地理分布的多层次建模。
J R Stat Soc Ser C Appl Stat. 1999;48(2):253-68. doi: 10.1111/1467-9876.00153.
7
The use of sampling weights for survey data analysis.调查数据分析中抽样权重的使用。
Stat Methods Med Res. 1996 Sep;5(3):239-61. doi: 10.1177/096228029600500303.