Abstract
Background: Women empowerment can enhance and improve women decsions and will
power to negotiate and stand against sensitive issues that affect women’s health and sexuality.
Practices such as Female Genital Mutilation (FGM) are generally sensitive issues that requires
education and holistic interventions to enable its eradication, particularly in sub-Sahara Africa
(SSA), where the practice is still pervasive. This study investigated the effect of women
empowerment, using the Survey-base Women Empowerment (SWPER) Global index, on FGM
in selected countries in SSA.
Methods
The study employed cross-sectional design using the most recent Demographic
Health Survey (DHS) data from 10 SSA countries. A total of 49501 women who were either
married or living with a partner and have a daughter age 0 – 14 years who is either circumcised
or not. Pearson’s chi-square test was used to examine the association between women
empowerment and daughter with FGM, and countries. Bivariate and multivariate logistic
regressions were used to examine the predictors of FGM at a significance level of p ≤ 0.05 and
95% confidence interval. Complex survey design was considered in the analysis.
Results
49,501 participants were included in the study and 47.96% exhibited a positive
attitude towards violence. Empowerment in SWPER domains were significantly associated
with FGM (p < 0.0001), with Kenya and Tanzania exhibiting high levels of women
empowerments and low prevalence of FGM. Medium and highly-empowered mothers had
significantly lower odds of having a child with FGM in the bivariate regression models (p <
0.0001), compared to mothers with low empowerment levels. When adjusted for confounders,
increasing age is associated with higher odds of FGM with mothers age 45-49 mothers having
more than 4 times higher odds (AOR: 4.265, 95%CI: 3.466 – 5.248). Muslim mothers also had
higher odds of having a child with FGM (AOR: 6.046; 95%CI: 5.605 – 6.521) compared to
Christian mothers. An increase in the wealth index was also a protective factor against FGM
(p < 0.0001). Circumcised mothers were more likely to have their female child circumcised
(AOR: 5.527; 95%CI: 5.113 – 5.975) and female household heads were found to be protective
factors against FGM (AOR: 0.846; 95%CI: 0.774 – 0.925).
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Conclusion
The study highlights a connection between women's empowerment and FGM
prevalence in SSA, highlighting the need to promote women's autonomy and reject violence.
Traditional norms and cultural support for FGM persist, particularly in Western Africa.
Targeted empowerment initiatives, education, and strengthening legal frameworks can help
reduce FGM prevalence.
Keywords
Female Genital Mutilation; Survey-based Women Empowerment, sub-Sahara
Africa, Circumcision, Socio-culture and religion
Introduction
Female genital mutilation or cutting (FGM) continue to be a public health concern, particularly
in sub-Saharan Africa, due to its impact on the physical and mental wellbeing of women and
girls who fall victim to the practice. It involves the partial or complete excision of the female
external genitals or any additional harm to the female genitals (1-4). This causes significant
harm, especially the long-term effects of scarring, discomfort, bleeding, infection, urinary
issues, cysts, birthing complications, and higher rates of neonatal and maternal mortality (1, 4,
5). FGM is considered a violence targeting women and girls leading to gender inequity (1, 5)
and it violates the rights of children and constitutes child abuse (5, 6).
FGM has four types: Clitoridectomy also known as Type 1, involving part or complete excision
of the clitoris or rarely, excision of the prepuce and Excision also known as Type 2, which
involves fully extracting the clitoris with either labia minora and majora or the minora only (1,
7-9). Infibulation also known as Type 3, involves narrowing the establishment of a seal over
the vaginal opening of the vaginal entrance through surgical suture of either labia minora or
majora and can involve clitoris removal whereas Type 4 consists of other dangerous procedures
on genitals, which are not medical such as piercing, sharp penetrating, incision, scraping, and
cauterizing (1, 7-9).
FGM is an illegal activity in many parts of the world: The United Nations (UN) and World
Health Organization prohibit it (4); the Association of American Medical Doctors (10) and the
Global Federation of Obstetricians and Gynecologists (11) all stand against any form of FGM.
The international community has for the past two decades, strived to eliminate FGM (12), the
International Conference for Population Development, which convened governments in 1994,
called them to eradicate FGM (13). Every 6 February, the UN recognizes the International Day
of Zero Tolerance for FGM, with resolutions from 2012 and 2014 aiming to intensify global
efforts to curb FGM (5).
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
A section of the Sustainable Development Goals (SDG) aim at eradicating FGM by 2030 (13,
14), and twenty-four African nations of thirty nations that practice FGM, have officially banned
FGM (4, 5, 12). Albeit the action targets, without immediate and rapid responses to this public
health issue, approximately, 35% of newborns worldwide will be born in countries with
environments that still practice FGM (4, 5, 12) putting them at risk of FGM and other related
injuries and diseases.
Worldwide, at least 230 million females have undergone FGM, with Africa being the most
prevalent, with around 144 million (15). The United Nations International Children’s
Emergency Fund (UNICEF) highlights that a third of children under nineteen years are the
most exposed to mutilations (5) and 3.6 million females are prone to undergoing FGM annually
(16, 17). The tools used in excisions are; unsterile knives, scissors, glasses, razor blades, hot
materials, and clippers, among others (18, 19). Most of the time, these mutilations are done in
an unhygienic manner with repeated use of the same tools (20), which poses a great risk to
infectious diseases.
Women's intent to FGM has a vast impact on the community and empowered women can raise
their voices and advocate for young and aged women to abstain from FGM practices (21). This
happens as women have been misrepresented, leading to barriers weakening them and leaving
a significant gap in gender disparity (22). Indicators like religion, wealth index, education level,
age, marital status, health status, and justifying sexual assaults are the components used in
reimagining the idea of empowering women (23-26). Several Findings have demonstrated that
empowering women can enhance decisions and improve their negotiation on sensitive areas
that affect the population (27-30).
Over the recent years, women's empowerment has slightly increased with education still
lagging the most affected countries are in the western part of Africa, and Southern African
countries mostly improving (31). Sub-Saharan African Countries and their women’s role in
fighting or scrambling to end FGM practices have raised concerns as to which level of
empowering a woman might be linked to exercising or eliminating FGM practices (23).
Although there are several measures of women empowerment, the Survey-based Women
Empowerment (SWPER) model, not without criticism, has proven to be the most robust and
context based in assessing women empowerment using survey data in the SSA region (32-38).
Earlier studies conducted in SSA regarding FGM did not either fully explore women
empowerment and its impact on FGM or failed to scrutinize the socio-cultural and geographical
context within SSA that influences both women empowerment and FGM (39-43). Also,
although the study by Coll, et. al., (2021) used the SWPER model to assess women
empowerment and FGM in SSA, it did not assess a combined empowerment level for all
domains of SWPER (41).
This current study seeks to contribute to policy and literature by investigating the impact of
women empowerment on FGM in SSA using SWPER model and the most recent Demographic
Health Survey (DHS) data. The study will also take keen considerations of the geographical,
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
religious and socio-cultural factors that could predict the practice of FGM in the diverse regions
of SSA.
Methods
Study Design and Data Source
This research utilized a cross-sectional design, drawing on data from the latest Demographic
and Health Surveys (DHS) conducted in 10 Sub-Saharan African countries between 2010 and
2023. The DHS, a nationally representative survey, is carried out every five years in over 85
low- and middle-income countries globally (44). Participants in the survey are selected through
a multistage sampling process. This method ensures that the sample accurately represents the
population at national, urban-rural, and regional levels (such as counties or states).
The DHS surveys gather between 5,000 and 32,000 participants, who provide data through a
standardized questionnaire covering various health indicators. These indicators include
maternal demographics, household and community characteristics, child factors, and
malnutrition. Detailed sampling techniques are available on the DHS website
(
https://www.dhsprogram.com/Methodology/Survey-Types/DHS-Methodology.cfm) (44) and
literature (45).
The study includes 10 countries that have recorded data on female genital mutilation in their
most recent DHS. The study population included 189155 women of reproductive age. This was
reduced to 58,437 women who have reported whether their girl child has either undergone
FGM or not. Due to the measures used to calculate the SWPER women empowerement variable,
the data was further reduced to include 49,501 married or women cohabitating with their
partners and having atleast one daughter age between 0 to 14 years, who has either undergone
FGM or not (32). The data for this study is freely available at https://dhsprogram.com/Data/.
Table 1 shows the countries, the survey years and weighted samples.
Table 1: Countries, survey year and sample included in the study
Study Sample
Country Survey
year Non-
weigthed
Percent
(%) Weighted Percent
(%)
Burkina Faso 2021 8,796 17.77 8,758 17.86
Chad 2014 - 15 4,818 9.73 4,727 9.64
Gambia 2019-20 2,541 5.13 2,300 4.69
Guinea 2018 5,149 10.4 5,068 10.33
Kenya 2022 6,584 13.3 6,217 12.67
Mali 2021 2,633 5.32 2,896 5.90
Mauritania 2019 - 20 2,423 4.89 2,462 5.02
Nigeria 2018 7,670 15.49 7,813 15.93
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Sierra Leone 2019 6,249 12.62 6,165 12.57
Tanzania 2022 2,638 5.33 2,645 5.39
Total 49,501 49,050
Study Variables
The outcome variable of this study is FGM of a daughter of a mother included in the study. this
variable is available in the women questionnaire of the DHS dataset for some selected countries.
The variable was coded as 0 “no FGM” and 1 “FGM”.
The main predictor variable in this study is women empowerment which was measured using
the SWPER Global (46). The SWPER Global is a carefully designed women empowerement
measure using the DHS for 62 lower-and middle-income countries (32, 46). The SWPER
Global index consist of three key domains; i.Attitude towards violence domain, ii. Social
Independence domain, and iii. Decision making domain based on 14 questions from the DHS
women questionnaire.
The attitude towards violence domain assess a woman’s opinion regarding husband beating
wife is justified in some specific situations. The social independence domain assesses woman’s
access to information, attaining diserable educational level, age at marriage and first child, and
also the differences in age and education to the cohabiting partner. The decision making domain
measures who makes decisions in the household and the woman’s works. Women were
categorized under low empowerment, medium empowerment, and high empowerment based
on the cutoff points in the methodology of SWPER Global. The design of this index is
comprehensively presented by Ewerling and colleagues (32, 46). The STATA do.file for
calculating the SWPER index is available at https://goo.gl/isGonn (32).
A fourth “combined domain” was constructed to measure the cumulative empowerment of
women using all three domains provided by Ewerling et al., (2020) and its association with
FGM. Principal Component Analysis (PCA) was used to calculate the composite scores of all
three domains considering the levels of empowerment scores in each domains recorded among
women in this study. The STATA code used to arrive at the combined domain is presented in
supplementary file 1. It should be used in addition to the do.file provided here
https://goo.gl/isGonn (32). The combined domain is also measured using low, medium and
high empowerement levels.
Other variables such as maternal age, maternal education, religion, wealth index, place of
residence, FGM status of mother, partner’s age, partner’s educational level, partners occupation,
and sex of household head were included in the study as covariates.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Data Analysis
The study involved four levels of analysis. The first level was to calculate the levels of
women empowerment among women in all four domains. This was done using descriptive
statistics. The second level of the analysis involved Pearson’s chi-square test to assess the
association between women empowerment and FGM at a significance level of p ≤ 0.05. Also,
the association between each country and the level of empowerments and prevalence of
FGM.
The variables significantly associated with FGM at p-value ≤ 0.05 were included in a
regression model to ascertain the predictors of FGM. Bivariate logistric regression model
(crude odds ratio) was used to examine the individual predictors of FGM, starting with
SWPER women empowerment domains, and then the other covariates. All variables, SWPER
index and covariates, significant at p-value ≤ 0.05 at a 95% confidence interval (CI), the
bivariate regression model were included in a multivariate logistic regression, adjusting for
confounders.
The data was analysed using STATA version 18 macOS. The analysis was performed
considering the complex survey design implemented by DHS program. The STATA
command “svy” was used in addition with the typical commands to account for the weighted
data. The dumbell plots were designed using ggplot in R-studio, the cluster graphs designed
using Microsoft excel version 16.87 and ArcMap version 10.2 used to design the symbology
map.
Variance inflation factor (VIF) was used to test the multicollinearity of the study variables.
There was no evidence of multicollinearity (mean vif = 1.65, min = 1.02, and max = 2.77).
Results
A high percentage of individuals with high empowerment (47.96%) exhibit a positive attitude
towards violence. Conversely, in the social independence domain, many of the mothers had
low empowerment (48.32%). The distribution of these attributes is fairly balanced across all
empowerment levels in the decision taking domain, with a slight predominance in the high
empowerment group (33.58%). There was an almost equal distribution of levels of
empowerment in the combined domain, but with a little surge in the low empowerment
(35.63%). This is illustrated in Figure 1.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Figure 1: Levels of women empowerment in SWPER Domain
There is a significantly lower percentage of FGM among girls with mothers having high
empowerement under the attitude towards violence domain (15.6%) compared to those with
lower empowerement (22.59%) (𝜒2 = 330.4, p < 0.0001). Under the social independence,
higher empowerment is strongly associated with a lower percentage of FGM cases (11.07%),
compared to 23.30% FGM rate with mothers with lower empowerement (𝜒2 = 858.6, p <
0.0001). Also, under the decision taking domain, mothers with higher empowerement is
associated with a lower (13.49%) FGM rate (𝜒2 = 512, p < 0.0001). In the combined domain,
23.34% of the mothers with high empowerment had girls with FGM compared to 46.88% of
mothers with low empowerment (Table 2).
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Table 2: Women Empowerement and its association with FGM
FGM 𝜒2 p- valueSWERP Domain Empowerement level No (%) Yes (%)
Lower empowerment 12915 (77.41) 3769 (22.59)
Medium empowerement 7319 (82.77) 1524 (17.23)Attitude towards
violence domain High empowerement 19853 (84.40) 3670 (15.60)
330.4 p < 0.0001
Lower empowerment 18179 (76.70) 5524 (23.30)
Medium empowerement 12690 (84.70) 2291 (15.30)
Social
independence
domain
High empowerement 9219 (88.93) 1148 (11.07)
858.6 p < 0.0001
Lower empowerment 13149 (77.00) 3928 (23.00)
Medium empowerement 12690 (81.86) 2813 (18.14)Decision taking
domain High empowerement 14249 (86.51) 2222 (13.49)
512.895 p < 0.0001
Lower empowerment 13501 (33.19) 4135 (46.88)
Medium empowerement 12869 (31.63) 2627 (29.78)Combined
domains
High empowerement 14310 (35.18) 2059 (23.34)
696.6 p < 0.0001
Countries like Tanzania (52.31%), Nigeria (69.22%), Mauritania (68.72%) and Kenya (59.89%)
had high proportion of maternal empowerment against attitude towards violence, unlike Mali
(58.18%), Guinea (56.01%) and Chad (51.52%) which showed very low maternal
empowerment against attitude towards violence. Regarding social independence, most of the
women in all the countries exhibited low empowerment levels. Most of the mothers in Kenya
(65.28%), Mauritania (56.54%) and Tanzania (57.32%) had high empowerment level under the
decision making domain, and mothers in Mali (63.96%) had very low empowerment. All the
three domains had significantly different levels of empowerment between the countries
(Attitude towards violence [𝜒2= 600.21, p < 0.0001], social independence [𝜒 2 = 4301.3, p <
0.0001], and decision making [𝜒2 = 8201.1, p < 0.0001]). This is presented in figure 2.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Figure 2: Women empowerment by countries
When all the levels of empowerment were combined, many of the women in Kenya (42.98%),
Chad (39.89%)| and Tanzania (34.95%) had high level of empowerment, unlike most of the
countries. Mali (52.41%), Guinea (48.86%) and Gambia (42.23%) showed majority of their
women having low empowerment levels. There was a significant association between the
countries and the levels of empowerment (𝜒2 = 1000.6, p < 0.0001). This is shown in figure 3.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Figure 3: Combine Domain for SWPER Global index
Figure 4 shows the spatial distribution of high empowered mothers under the total
empowerment domain and the prevalence of FGM in countries within SSA. Tanzania and
Kenya had high empowerment levels of 34.95% and 42.98%, respectively, with very low FGM
rates (Kenya = 2.35% and Tanzania = 0.34%) compared to countries like Mali and Gambia
with very low empowerement levels (22.79% and 32.31%, respectively) and high prevalence
of FGM (Mali = 61.3%, Gambia = 40.42%). Also, Nigeria had relatively high maternal
empowerement (35.2%) and equally high FGM rates (26.48%). There was a significant
association between countries and the prevalence of FGM (𝜒 2 = 9100, p < 0.0001) and total
women empowerement (𝜒2 = 1600, p < 0.0001).
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Figure 4: High empowerment level in the combine domain and FGM by countries
Many of the mothers included in the study were age between 25 – 29 years (21.81%) and 30 –
34 years (21.07%). Mothers belonging to the Islamic religion were 47.32%. Also, many of the
mothers were in the poorest wealth index (21.11%) and majority living in rural areas (66.82%).
Majority of the mothers included in the study were circumcised (61.01%). Almost half (49.68%)
of the mothers had partners age 40 – 59 years, with 52.33% of them not having formal
education. Majority of them had male family heads (86.21%). The prevalence of FGM among
girls increases with age of mothers peaking at 27.60% in the 45 – 49 age group (𝜒2 = 388.35,
p < 0.0001). There was also a significantly high prevalence of FGM among girls with Muslim
mothers (29.58%) compared to Christians (4.88%) (𝜒2 = 4,483.22, p < 0.0001). Maternal
education was associated with high FGM prevalence among girls, with 23.86% (𝜒2 = 1313.44,
p < 0.0001) among those with no education. Maternal circumcision was highly significantly
associated with FGM of girl child (𝜒2 = 3802.3, p < 0.0001), with circumcised mothers having
more female children who were also circumcised (26.83%), compared to 4.88% of mothers not
circumcised. Older and less educated partners were also found to be associated with higher
FGM rates (p < 0.0001). These are presented in table 3.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Table 3: Association between other confounding variables and FGM
Female Genital MutilationSocio-demographic
Characteristics
Frequency
(n = 49,501)
Percent
(%)
No (%) Yes (%)
𝜒2 p- value
Age 388.35 < 0.0001
15-19 1466 2.96 1217 (83.77) 236 (16.23)
20-24 6210 12.55 5172 (84.05) 982 (15.95)
25-29 10797 21.81 9029 (84.39) 1670 (15.61)
30-34 10430 21.07 8573 (82.95) 1762 (17.05)
35-39 9780 19.76 7951 (82.04) 1741 (17.96)
40-44 6528 13.19 5069 (78.36) 1400 (21.64)
45-49 4290 8.67 3078 (72.40) 1173 (27.60)
Religion 4,483.22 < 0.0001
Christianity 19945 40.29 18799 (95.12) 965 (4.88)
Islam 23423 47.32 16345 (70.42) 6865 (29.58)
No region 378 0.76 300 (80.11) 74 (19.89)
other 581 1.17 531 (92.19) 45 (7.81)
Missing 5173 10.45
Educational status 1,313.44 < 0.0001
no education 27274 55.1 20577 (76.14) 6449 (23.86)
primary 10591 21.4 9258 (88.22) 1236 (11.78)
secondary 9205 18.6 8003 (87.73) 1119 (12.27)
higher 2431 4.91 2249 (93.40) 159 (6.60)
Weatlh index 371.32 < 0.0001
poorest 10451 21.11 8024 (77.49) 2331 (22.51)
poorer 10163 20.53 8037 (79.80) 2034 (20.20)
middle 10116 20.44 8138 (81.19) 1885 (18.81)
richer 9654 19.5 7991 (83.53) 1575 (16.47)
richest 9117 18.42 7897 (87.41) 1137 (12.59)
Place of residence 99.85 < 0.0001
urban 16422 33.18 13700 (84.19) 2573 (15.81)
rural 33079 66.82 26388 (80.50) 6390 (19.50)
FGM status 3,802.30 < 0.0001
Not circumcised 19300 38.99 18192 (95.12) 932 (4.88)
circumcised 30200 61.01 21895 (73.17) 8030 (26.83)
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Partner's age 755.04 < 0.0001
less than 20 175 0.35 150 (86.23) 24 (13.77)
21 - 39 20499 41.41 17638 (86.84) 2674 (13.16)
40 - 59 24593 49.68 19273 (79.09) 5096 (20.91)
60 and above 4170 8.42 2963 (71.70) 1169 (28.30)
Missing 64 0.13
Partner's
educationa level 1470.36 < 0.0001
education 25904 52.33 19361 (75.43) 6307 (24.57)
primary 8931 18.04 7984 (90.21) 866 (9.79)
secondary 10349 20.91 8912 (86.90) 1343 (13.10)
higher 4252 8.59 3767 (89.40) 447 (10.60)
Missing 64 0.13
Partner's
occupation 725.39 < 0.0001
not working 3452 6.97 2724 (79.63) 697 (20.37)
managerial 4778 9.65 4162 (87.89) 573 (12.11)
clerical 533 1.08 404 (76.44) 124 (23.56)
sales 7367 14.88 5515 (75.54) 1786 (24.46)
agricultural 19451 39.29 15811 (82.04) 3462 (17.96)
other 1496 3.02 1127 (76.00) 356 (24.00)
services 3215 6.5 2341 (73.47) 845 (26.53)
manual 9144 18.47 7941 (87.65) 1119 (12.35)
Missing 64 0.13
Sex of family head 17.71 < 0.01
male 42675 86.21 34436 (81.44) 7850 (18.56)
female 6826 13.79 5651 (83.56) 1112 (16.44)
Multivariate Logistic Regression Models.
Table 4 shows the results of the logistic regression models. The level of empowerement in all
SWPER domains were found to be significant predictors of FGM, with medium and high
empowered mothers having significantly lower odds of child with FGM in the unadjusted
model (p < 0.0001). However, after adjusting for confounders, mothers with high
empowerment under the attitude towards violence were 13% more likely to have a daughter
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
with FGM (AOR: 1.130, 95%CI: 1.038 – 1.123)). Under the social independence domain, high
empowered mothers were 27.9% more less likely to have child with FGM (AOR: 0.721; 95%CI:
0.648 – 0.802). Similarly, women who were medium empowered regarding decision taking
were 10.2% less likely to have child with FGM compared to those having low empowerement.
Mothers with high empowerment in all the domains were over 50% less likely to have a
daughter with FGM (AOR: 0.583, 95%CI: 0.523 – 0.649).
It was also observed that increasing age was signficantly associated with higher odds of FGM,
with mothers in 40 – 44 age group having more than twice higher odds (AOR: 2.722, 95%CI:
2.229 – 3.325) compared to those in 15 – 19 age group. Mothers in the Islamic religion had 6
times higher odds of having child with FGM (AOR: 6.046; 95%CI: 5.605 – 6.521) compared
to Christian mothers. Increasing wealth index was also found to be a protective factor of FGM,
with mothers in the richest wealth index having 42.1% lower odds (AOR: 0.588; 95%CI: 0.522
– 0.662). Mothers who were also circumcised were 5 times more likely to have their female
child circumcised (AOR: 5.527; 95%CI: 5.113 – 5.975). Female household head was found to
be a protective factors of FGM (AOR: 0.846; 95%CI: 0.774 – 0.925).
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Table 4: Multivariate logistic regression model on SWPER model and FGM.
Variables cOR (95% CI) AOR (95% CI)
Attitude towards violence domain
low empowerment Ref Ref
medium empowerement 0.704 (0.659 - 0.752)*** 0.931 (0.858 - 1.009)
high empowerement 0.617 (0.586 - 0.649)*** 1.130 (1.038 - 1.230) **
Social independence domain
low empowerment Ref Ref
medium empowerement 0.638 (0.604 - 0.673)*** 0.758 (0.707 - 0.813) ***
high empowerement 0.464 (0.435 - 0.497)*** 0.721 (0.648 - 0.802) ***
Decision taking domain
low empowerment Ref Ref
medium empowerement 0.767 (0.726 - 0.810)*** 0.898 (0.841 - 0.959) ***
high empowerement 0.560 (0.529 - 0.593)*** 0.911 (0.843 - 0.984) ***
Combined domain
low empowerment Ref Ref
medium empowerement 0.667 (0.631 - 0.704) *** 0.690 (0.637 - 0.748) ***
high empowerement 0.470 (0.443 - 0.498) *** 0.583 (0.523 - 0.649) ***
Age
15-19 Ref Ref
20-24 1.028 (0.872 - 1.211) 1.281 (1.060 - 1.549) *
25-29 1.090 (0.931 - 1.276) 1.471 (1.225 - 1.767) ***
30-34 1.226 (1.047 - 1.434)* 1.759 (1.458 - 2.123) ***
35-39 1.344 (1.148 - 1.572)*** 2.119 (1.746 - 2.573) ***
40-44 1.730 (1.475 - 2.029)*** 2.722 (2.229 - 3.325) ***
45-49 2.352 (1.999 - 2.767)*** 4.265 (3.466 - 5.248) ***
Religion
Christianity Ref Ref
Islam 6.555 (6.117 - 7.024)*** 6.046 (5.605 - 6.521) ***
No region 3.232 (2.395 - 4.361)*** 3.368 (2.455 - 4.620) ***
other 1.299 (0.968 - 1.744) 1.193 (0.881 - 1.615)
Educational status
no education Ref Ref
primary 0.485 (0.454 - 0.518)*** 1.057 (0.968 - 1.153) **
secondary 0.466 (0.433 - 0.500)*** 1.824 (1.648 - 2.018) ***
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
higher 0.244 (0.206 - 0.290)*** 1.663 (1.342 - 2.060) ***
Weatlh index
poorest Ref Ref
poorer 0.885 (0.828 - 0.946)*** 0.888 (0.820 - 0.961) **
middle 0.814 (0.761 - 0.871)*** 0.836 (0.771 - 0.906) ***
richer 0.676 (0.630 - 0.726)*** 0.708 (0.646 - 0.775) ***
richest 0.565 (0.522 - 0.611)*** 0.588 (0.522 - 0.662) ***
Place of residence
urban Ref Ref
rural 1.232 (1.171 - 1.296)*** 1.069 (0.988 - 1.157)
FGM status
Not circumcised Ref Ref
circumcised 7.009 (6.525 - 7.529)*** 5.527 (5.113 - 5.975) ***
Partner's age
less than 20 Ref Ref
21 - 39 0.829 (0.541 - 1.270) 1.182 (0.677 - 2.065)
40 - 59 1.462 (0.954 - 2.238) 1.490 (0.852 - 2.608)
60 and above 2.271 (1.477 - 3.489)*** 1.498 (0.851 - 2.637)
Partner's educationa level
No formal education Ref Ref
primary 0.360 (0.333 - 0.388) 0.931 (0.844 - 1.026)
secondary 0.478 (0.447 - 0.511) 1.249 (1.141 - 1.367) ***
higher 0.389 (0.350 - 0.432) 1.157 (0.996 - 1.346)
Partner's occupation
not working Ref Ref
managerial 0.574 (0.510 - 0.646)*** 1.329 (1.150 - 1.536) ***
clerical 1.081 (0.866 - 1.349) 1.972 (1.507 - 2.581) ***
sales 1.222 (1.108 - 1.348)*** 1.957 (1.730 - 2.213) ***
agricultural 0.859 (0.786 - 0.938)** 1.210 (1.084 - 1.351) **
other 1.338 (1.161 - 1.541)*** 2.076 (1.724 - 2.498) ***
services 1.509 (1.347 - 1.689)*** 2.337 (2.032 - 2.689) ***
manual 0.594 (0.537 - 0.658)*** 1.219 (1.074 - 1.385) **
Sex of family head
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
male Ref Ref
female 0.854 (0.797 - 0.915)*** 0.846 (0.774 - 0.925) ***
cOR: crude odds ratio (unadjusted model), AOR: adjusted odds ratio, *: p < 0.05, **: p <
0.001, ***: p < 0.0001
Discussion
This study aimed to investigate the impact of women’s empowerment, using the SWPER model,
on FGM in Sub-Saharan Africa (SSA). The study included 10 SSA countries that reported
FGM in their national demographic health surveys. Nearly half of highly empowered
individuals (47.96%) have a positive attitude towards violence. In the social independence
domain, many mothers show low empowerment (48.32%). Empowerment levels in decision-
making and the combined domain were fairly balanced, with many in high empowerment group
(33.58%) for the decision making domain and many in the lower empowerment group (35.63%)
in the combined domain. The prevalence of FGM was disproportionately distributed across the
countries included in the study. The levels of empowerment in all of the domains and the
prevalence of FGM were significantly associated with the countries. Countries such as Mali
(61.3%), and Gambia (40.42%), located in Western Africa, reported higher rates of FGM, while
Kenya (2.35%) and Tanzania (0.34%), located in East Africa, reported lower FGM rates.
The overall rate of FGM in SSA has seen a decline over the years (13, 47). Several countries
such as Tanzania and Kenya, with low rates of FGM have made significant strides in women’s
empowerment and education, leading to a cultural shift away from FGM (42, 48, 49).
Community-based programs and legal frameworks have also played a role in reducing FGM
rates (50). In contrast, some countries in the West of SSA still shows a strong cultural and
traditional support for FGM, making it harder to eradicate despite efforts to empower women
(13, 19). Countries such as Nigeria has diverse cultural landscape includes regions with strong
traditional support for FGM. Empowerement efforts may not be uniformly effective across all
regions, leading to higher rates in certain areas (51). Targetted interventions are therefore
required in the effort to eradicate the practice in such diverse regions
The findings showed that nearly half of highly empowered individuals have a positive attitude
towards violence. This reflect the complex socio-cultural dynamics in SSA. In many
communities, traditional norms and practices, including certain forms of violence, are deeply
ingrained. The high percentage of mothers with low social independence empowerment
(48.32%) highlights the challenges women face in SSA. Social norms often restrict women’s
autonomy and mobility, limiting their ability to make independent decisions. This lack of social
independence can perpetuate practices like FGM, as women may feel pressured to conform to
community expectations. The fairly balanced empowerment levels in decision-making, with a
slight majority in the high empowerment group (33.58%), suggest that some progress is being
made in SSA. However, the slight predominance indicates that many women still struggle to
assert their decision-making power fully. Cultural expectations and patriarchal structures often
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
limit women’s roles in household and community decisions. Practices such as FGM are deeply
rooted in cultural and religious beliefs systems in SSA (19, 52).
In this study, highly empowered mothers were less likely to have a child with FGM. This
suggests that empowerment in rejecting violence correlates with lower FGM rates, possibly
due to increased awareness and rejection of harmful practices. This finding reflects in an earlier
study in SSA assessing how women empowerement and attitude towards violence can
influence their intention towards FGM (41). High empowerment in social independence led to
a 41.2% reduction in FGM odds. Empowered women may have better access to resources and
support networks, enabling them to resist FGM. Medium empowerment in decision-making
resulted in reduction in FGM odds. This suggest that women with decision-making power can
better protect their children from FGM. Decision making forms a critical component of women
ability to accept or decline certain practices or healthcare interventions. Other studies
emphasized the important role a woman’s ability to take independent decision positively
influence certain health outcomes.
Older mothers (45-49) had more than four times higher odds of having a child with FGM. This
could be due to generational differences in attitudes towards FGM, with older mothers more
likely to adhere to traditional practices. This finding corresponds with earlier studies in the
SSA region where the practice of FGM was still common among older mothers (19, 40, 53).
Younger generations and more empowered women may be driving cultural shifts away from
traditional practices like FGM.
Mothers who were circumcised were five times more likely to have their female child
circumcised. This indicates a cycle of perpetuation, where circumcised mothers continue the
practice with their daughters. Both similar (54) and contrasting finding (39) has been reported
in an earlier studies. It is important to implement educational initiatives that focus on women’s
rights, health, and the dangers of FGM. Empower women through knowledge and skills
training. This can help break the circle of perpetuation.
Mothers in the Islamic religion had almost six times higher odds of having a child with FGM
compared to Christian mothers. This may reflect cultural or religious norms that support FGM
in certain communities. This study finding corresponds with other studies in the SSA sub-
region (39, 43). Other researcher argue that, although the practice of FGM may be common
among Muslims, it is more of a cultural practice since it is not mandated in the religion (55).
Nonetheless, to eradicate this practice, it is essential to engage both religious and traditional
leaders sensitization programs and to speak out against the practice.
Increasing wealth was protective against FGM, with the richest mothers having 46.9% lower
odds. Wealthier families may have better access to education and healthcare, reducing the
prevalence of FGM. This finding is supported in earlier studies (39-41). Women with greater
economic independence are more likely to challenge traditional norms and practices. Also,
empowered and wealthier women may have better access to resources and support systems that
help them resist societal pressures to perform FGM.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Female household heads were found to be a protective factor against FGM. Women leading
households may have more autonomy and decision-making power to prevent FGM. It will be
helpful to encourage women to take on leadership roles within their communities to influence
change and advocate against FGM.
Conclusion
This study highlights the intricate relationship between women’s empowerment and the
prevalence of FGM in SSA. The findings suggest that higher levels of empowerment,
particularly in rejecting violence and decision-making, are associated with lower rates of FGM.
There was also a strong association between levels of empowerment in the various domains
and the prevalence of FGM across the countries. Despite progress in some regions, traditional
norms and cultural support for FGM persist, especially in Western Africa, posing challenges
to eradication efforts. The study presents the importance of targeted empowerment initiatives
that address socio-cultural dynamics and promote women’s autonomy to continue reducing
FGM prevalence across SSA.
Education is seen as a powerful tool to eradicating FGM. Increasing access to education,
women and girls can gain the knowledge and skills required to overcome the challenges of the
practice. Additionally, enactment, enforcement and strengthening legal frameworks that
prohibit FGM can provide a strong deterrent against the practice. The legal frameworks should
be supported by community awareness campaigns, spearheaded by traditional and religious
leaders, to ensure widespread understanding and compliance. Additionally, Community-based
programs that involve local leaders and stakeholders can address the cultural and traditional
norms that perpetuate FGM. Empowering women at the community level can lead to
sustainable change. These efforts will promote the efforts of eradicating FGM in SSA, and
achieving gender equality and empowerement of women and girls, as enshrined in the United
Nations SDG 5.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Declarations
Ethical Consideration.
This research used the DHS database, a global survey spanning five years. Permission to
access and use the data was granted by ICF International following topic registration and
submission on their website. Detailed methodology and ethical considerations are available
on the DHS website. Since the data were secondary and publicly accessible, individual
consent was not required by the ICF International Institutional Review Board. The study
received all necessary approvals from the DHS Program, and data privacy was rigorously
maintained during processing and analysis.
Consent for Publication
Not applicable
Availability of data and materials
The data for this study is freely available in the DHS website (https://dhsprogram.com/Data/).
Competing Interest
All authors declare no competing interests.
Funding
No funding was received for conducting this study.
Authors’ Contribution
Conceptualization - MHK, JM; Methodology – MHK; Data Curation: MHK; Formal
analysis – MHK; Writing of Original draft – JM; Writing review & editing – JM, Supervision
& Validation – MHK.
Acknowledgements
We would like to thank the Measure DHS Program for providing the DHS datasets.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
References
1. Hodes D, Armitage A, Robinson K, Creighton SM. Female genital mutilation in
children presenting to a London safeguarding clinic: a case series. Arch Dis Child.
2016;101(3):212-6.
2. Robinson ME, Prior J, Mallen CD, Shepherd TA. Knowledge, attitudes, and practice
of female genital mutilation and cutting: an observational cross-sectional study in English
primary care (FGM/C Study). BJGP Open. 2023;7(3).
3. Ladjali M, Rattray TW, Walder RJ. Female genital mutilation. Bmj.
1993;307(6902):460.
4. Young J, Nour NM, Macauley RC, Narang SK, Johnson-Agbakwu C. Diagnosis,
Management, and Treatment of Female Genital Mutilation or Cutting in Girls. Pediatrics.
2020;146(2).
5. The L. Changing culture to end FGM. Lancet. 2018;391(10119):401.
6. Nations U. Convention on the Rights of the Child New York: United Nations; 1989
[Available from: https://www.ohchr.org/sites/default/files/crc.pdf.
7. Ismail SA, Abbas AM, Habib D, Morsy H, Saleh MA, Bahloul M. Effect of female
genital mutilation/cutting; types I and II on sexual function: case-controlled study. Reprod
Health. 2017;14(1):108.
8. Weston J. Female genital mutilation: the law as it relates to children. Arch Dis Child.
2017;102(9):864-7.
9. Abdulcadir J, Guedj NS, Yaron M, Abdulcadir O, Albert J, Caillet M, et al. Assessing
the Infant/Child/Young Person with Suspected FGM/C. In: Abdulcadir J, Sachs Guedj N,
Yaron M, editors. Female Genital Mutilation/Cutting in Children and Adolescents: Illustrated
Guide to Diagnose, Assess, Inform and Report. Cham (CH): Springer
Copyright 2022, The Author(s). 2022. p. 3-14.
10. Violence against women. Relevance for medical practitioners. Council on Scientific
Affairs, American Medical Association. Jama. 1992;267(23):3184-9.
11. FIGO Committee for the Ethical Aspects of Human Reproduction and Women's
Health. International Federation of Gynecology and Obstetrics. Int J Gynaecol Obstet.
1999;66(3):301-3.
12. Shaikh H, McDonnell KA. Review of Web-Based Toolkits for Health Care
Practitioners Working With Women and Girls Affected by or at Risk of Female Genital
Mutilation/Cutting. J Prim Care Community Health. 2020;11:2150132720935296.
13. Weny K, Silva R, Snow R, Legesse B, Diop N. Towards the elimination of FGM by
2030: A statistical assessment. PLoS One. 2020;15(10):e0238782.
14. Fund UNCs. Female Genital Mutilation/Cutting: A global concern New York:
UNICEF; 2016 [Available from: https://data.unicef.org/resources/female-genital-
mutilationcutting-global-concern/.
15. UNICEF. Female genital mutilation (FGM) New York: UNICEF; 2024 [updated
March 2024. Available from: https://data.unicef.org/topic/child-protection/female-genital-
mutilation/#_edn1.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
16. Williams-Breault B. Eradicating Female Genital Mutilation/Cutting. Health and
Human Rights. 2018;20:223-33.
17. Taumberger N, Gruber T, Edler K, Trutnovsky G, Bracic T, Semrl N, et al. Female
genital mutilation/cutting incidence, diagnostic capacities, and obstetric outcomes among
migrant women: a single-center retrospective analysis in a 10-year birth cohort in Austria.
BMC Public Health. 2023;23(1):68.
18. Odukogbe AA, Afolabi BB, Bello OO, Adeyanju AS. Female genital
mutilation/cutting in Africa. Transl Androl Urol. 2017;6(2):138-48.
19. Shakirat GO, Alshibshoubi MA, Delia E, Hamayon A, Rutkofsky IH. An Overview of
Female Genital Mutilation in Africa: Are the Women Beneficiaries or Victims? Cureus.
2020;12(9):e10250.
20. Lejore Sibamo E, Bitew Workie S. Behavioral Barriers to Stop Female Genital
Mutilation/Cutting in South Ethiopia: An Exploratory Qualitative Study of the Perspective of
Women. Int J Womens Health. 2022;14:1073-81.
21. Afifi M. Women's empowerment and the intention to continue the practice of female
genital cutting in Egypt. 2009.
22. Kulkarni A, Mishra M. Aspects of Women’s Leadership in the Organisation:
Systematic Literature Review. South Asian Journal of Human Resources Management.
2021;9(1):9-32.
23. Ameyaw EK, Anjorin S, Ahinkorah BO, Seidu A-A, Uthman OA, Keetile M, et al.
Women’s empowerment and female genital mutilation intention for daughters in Sierra
Leone: a multilevel analysis. BMC Women's Health. 2021;21(1):200.
24. Sebayang SK, Efendi F, Astutik E. Women’s empowerment and the use of antenatal
care services: analysis of demographic health surveys in five Southeast Asian countries.
Women & Health. 2019;59(10):1155-71.
25. Osamor PE, Grady C. Women’s autonomy in health care decision-making in
developing countries: a synthesis of the literature. International Journal of Women's Health.
2016;8(null):191-202.
26. Asaolu IO, Alaofè H, Gunn JKL, Adu AK, Monroy AJ, Ehiri JE, et al. Measuring
Women's Empowerment in Sub-Saharan Africa: Exploratory and Confirmatory Factor
Analyses of the Demographic and Health Surveys. Front Psychol. 2018;9:994.
27. Bayeh E. The role of empowering women and achieving gender equality to the
sustainable development of Ethiopia. Pacific Science Review B: Humanities and Social
Sciences. 2016;2(1):37-42.
28. Ogato GS. The quest for gender equality and women's empowerment in least
developed countries: Policy and strategy implications for achieving millennium development
goals in Ethiopia. International Journal of Sociology and Anthropology. 2013;5(9):358.
29. Braverman-Bronstein A, Ortigoza AF, Vidaña-Pérez D, Barrientos-Gutiérrez T,
Baldovino-Chiquillo L, Bilal U, et al. Gender inequality, women's empowerment, and
adolescent birth rates in 363 Latin American cities. Soc Sci Med. 2023;317:115566.
30. Lwamba E, Ridlehoover W, Kupfer M, Shisler S, Sonnenfeld A, Langer L, et al.
PROTOCOL: Strengthening women's empowerment and gender equality in fragile contexts
towards peaceful and inclusive societies: A systematic review and meta-analysis. Campbell
Syst Rev. 2021;17(3):e1180.
31. Rettig EM, Hijmans RJ. Increased women's empowerment and regional inequality in
Sub-Saharan Africa between 1995 and 2015. PLoS One. 2022;17(9):e0272909.
32. Fernanda Ewerling JWL, Cesar G Victora, Anouka van Eerdewijk, Marcelo Tyszler,
Aluisio J D Barros. The SWPER index for women’s empowerment in Africa: development
and validation of an index based on survey data. Lancet Global Health. 2017.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
33. Campbell S, Zhai J, Tan JY, Azami M, Cunningham K, Kruske S. Assessment tools
measuring health-related empowerment in psychosocially vulnerable populations: a
systematic review. Int J Equity Health. 2021;20(1):246.
34. Costa JC, Saad GE, Hellwig F, Maia MFS, Barros AJD. Measures of women's
empowerment based on individual-level data: a literature review with a focus on the
methodological approaches. Front Sociol. 2023;8:1231790.
35. Gram L, Morrison J, Skordis-Worrall J. Organising Concepts of 'Women's
Empowerment' for Measurement: A Typology. Soc Indic Res. 2019;143(3):1349-76.
36. Porter E. Rethinking Women's Empowerment. Journal of Peacebuilding &
Development. 2013;8(1):1-14.
37. Yount KM, Peterman A, Cheong YF. Measuring women's empowerment: a need for
context and caution. Lancet Glob Health. 2018;6(1):e29.
38. Schierl T, Tanaka LF, Klug SJ, Winkler AS, Stelzle D. The Association of Women’s
Empowerment with HIV-Related Indicators: A Pooled Analysis of Demographic and Health
Surveys in Sub-Saharan Africa. Journal of Epidemiology and Global Health. 2023;13(4):816-
24.
39. Ahinkorah BO. Factors associated with female genital mutilation among women of
reproductive age and girls aged 0-14 in Chad: a mixed-effects multilevel analysis of the
2014-2015 Chad demographic and health survey data. BMC Public Health. 2021;21(1):286.
40. Ameyaw EK, Anjorin S, Ahinkorah BO, Seidu AA, Uthman OA, Keetile M, et al.
Women's empowerment and female genital mutilation intention for daughters in Sierra
Leone: a multilevel analysis. BMC Womens Health. 2021;21(1):200.
41. Coll CVN, Santos TM, Wendt A, Hellwig F, Ewerling F, Barros AJD. Women's
Empowerment as It Relates to Attitudes Towards and Practice of Female Genital
Mutilation/Cutting of Daughters: An Ecological Analysis of Demographic and Health
Surveys From 12 African Countries. Front Sociol. 2021;6:685329.
42. Galukande M, Kamara J, Ndabwire V, Leistey E, Valla C, Luboga S. Eradicating
female genital mutilation and cutting in Tanzania: an observational study. BMC Public
Health. 2015;15:1147.
43. Oni TO, Okunlola DA. Contextual determinants of generational continuation of
female genital mutilation among women of reproductive age in nigeria: analysis of the 2018
demographic and health survey. Reprod Health. 2024;21(1):39.
44. The Demographic and Health Survey Program [Internet]. 2024 [cited 2024-06-04].
Available from: https://www.dhsprogram.com/.
45. Corsi DJ, Neuman M, Finlay JE, Subramanian SJIjoe. Demographic and health
surveys: a profile. 2012;41(6):1602-13.
46. Ewerling F, Raj A, Victora CG, Hellwig F, Coll CVN, Barros AJD. SWPER Global:
A survey-based women's empowerment index expanded from Africa to all low- and middle-
income countries. Journal of Global Health. 2020;10(2).
47. Farouki L, El-Dirani Z, Abdulrahim S, Akl C, Akik C, McCall SJ. The global
prevalence of female genital mutilation/cutting: A systematic review and meta-analysis of
national, regional, facility, and school-based studies. PLoS Med. 2022;19(9):e1004061.
48. Mkuwa S, Sempeho J, Kimbute O, Mushy SE, Ndjovu A, Mfaume J, et al. The role of
communities and leadership in ending female genital mutilation in Tanzania: an exploratory
cross-sectional qualitative study in Tanga. BMC Public Health. 2023;23(1):163.
49. Mwendwa P, Mutea N, Kaimuri MJ, De Brun A, Kroll T. "Promote locally led
initiatives to fight female genital mutilation/cutting (FGM/C)" lessons from anti-FGM/C
advocates in rural Kenya. Reprod Health. 2020;17(1):30.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
50. David M. Alternative rites of passage help fight FGM in Meru 2020 [Available from:
http://www.nation.co.ke/counties/meru/War-against-female-circumcision-Meru/1183302-
3008376-1kp3ez/index.html.
51. Awolola OO, Ilupeju NA. Female genital mutilation; culture, religion, and
medicalization, where do we direct our searchlights for it eradication: Nigeria as a case study.
Ci Ji Yi Xue Za Zhi. 2019;31(1):1-4.
52. Akweongo P, Jackson EF, Appiah-Yeboah S, Sakeah E, Phillips JF. It's a woman's
thing: gender roles sustaining the practice of female genital mutilation among the Kassena-
Nankana of northern Ghana. Reprod Health. 2021;18(1):52.
53. Shell-Duncan B, Moreau A, Wander K, Smith S. The role of older women in
contesting norms associated with female genital mutilation/cutting in Senegambia: A factorial
focus group analysis. PLoS One. 2018;13(7):e0199217.
54. Gangoli G, Gill A, Mulvihill N, Hester M. Perception and barriers: reporting female
genital mutilation. Journal of Aggression, Conflict and Peace Research. 2018;10(4):251-60.
55. Abdulla MR. Culture, Religion, and Freedom of Religion or Belief. The Review of
Faith & International Affairs. 2018;16(4):102-15.
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
. CC-BY 4.0 International licenseIt is made available under a
perpetuity.
is the author/funder, who has granted medRxiv a license to display the preprint in(which was not certified by peer review)preprint
The copyright holder for thisthis version posted September 4, 2024. ; https://doi.org/10.1101/2024.09.03.24313034doi: medRxiv preprint
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.