Skip to main content

Prevalence and drivers of female genital mutilation/cutting in three coastal governorates in Yemen

Abstract

Background

Female genital mutilation/cutting (FGM/C), a violation of human rights, remains common in the coastal areas of Yemen.

Objective

This study aimed to identify the prevalence of FGM/C and its risk factors among the youngest daughters in families in the Yemeni coastal areas, as well as the knowledge and attitudes of the local population towards FGM/C.

Methods

A cross-sectional survey was conducted among 646 women and 345 men from six districts in three Yemeni coastal governorates between July and September 2020 using a structured questionnaire. Categorical data were described by proportion. The chi-square test was used to identify factors associated with FGM/C. All factors with a p-value of ≤ 0.05 were included in the multivariate analysis. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated in the multivariate logistic regression analysis.

Results

The prevalence of FGM/C in Yemeni coastal areas was 89.0% (95% CI 84.0%-92.5%) among women and 79.8% (95% CI 73.5%-84.8%) among the youngest daughters in the surveyed families. Nearly two-thirds of women and half of the men recorded a poor knowledge level about the harms of FGM/C. Furthermore, almost two-thirds of both women and men would like to continue the practice of FGM/C. Among women, significant predictors of FGM/C among youngest daughters included advanced maternal age of ≥ 40 years (AOR 7.16, 95% CI 2.73–18.76), mother’s desire to continue FGM/C (AOR 8.07, 95% CI 3.64–17.89), and living in a rural area (AOR 3.95, 95% CI 1.51–10.30). Daughters of mothers who did not undergo FGM/C were more protected from FGM/C than those whose mothers had undergone FGM/C (AOR 0.04, 95% CI 0.02–0.09). Among men, the father’s desire to continue FGM/C (AOR 15.10, 95% CI 6.06–37.58) was significantly associated with FGM/C among the youngest daughters.

Conclusion

This study confirmed that FGM/C is still prevalent among communities in Yemeni coastal areas. Thus, community-based interventions with a focus on the rural population are vital to improving the awareness of various harms of FGM/C.

Peer Review reports

Introduction

Female genital mutilation/cutting (FGM/C) is a form of violence against women that entails partial or complete removal of their external genitalia. It is widely practised in Africa and Asia [1,2,3]. FGM/C can expose the affected women to multiple lifelong health problems during the time of removal, puberty, marriage, and pregnancy. Some of the immediate consequences of FGM/C are pain, bleeding, infection, shock [3, 4], and even death [5]. In the long term, FGM/C exposes women to psychological problems [6,7,8] such as depression, anxiety, and post-traumatic stress disorder [9]. In addition, women who have undergone FGM/C are prone to sexual dysfunction as it may decrease their sexual desires [10, 11]. Moreover, FGM/C is associated with obstetric complications [12,13,14,15]. Globally, FGM/C costs the health system approximately $1.4 billion annually [16, 17]. Despite all these implications, FGM/C is still practised widely in certain parts of the world. According to the latest statistics, more than 200 million women and girls in 30 countries in Africa, the Middle East, and Asia have undergone FGM/C [16].

There are four types of FGM/C. Type 1 is the partial or total removal of the glans of the clitoris. Type 2 is the partial or total removal of the glans clitoris and the labia minora, with or without removal of the labia majora. Type 3, known as suturing, is the narrowing of the vaginal opening. Lastly, type 4 includes all other harmful procedures involving the female genitals for non-medical purposes, such as pricking, piercing, incision, scraping, and cauterisation [16]. FGM/C is usually performed by traditional practitioners. In rare instances in some areas, it is also conducted by health workers [3, 18]. Most FGM/C is performed with non-sterile instruments, thus often leading to infection [3, 18]. Custom, tradition, religion, and female sexuality are the historical reasons behind the practice of FGM/C in some families and communities [18]. Apart from that, recent studies have identified several risk factors of the practice, including low maternal education [19,20,21], older mothers [19], poor family economic status [19], residency in rural areas [19, 20], and a maternal history of FGM/C [19, 21].

Situated in the Arab Peninsula, Yemen has been plagued by a series of wars, making it a country that suffers some of the worst humanitarian crises in the world, accompanied by a high rate of violence against women [22]. The overall prevalence of FGM/C in Yemen is 19% among women aged 15 to 49 years. However, it is more prevalent in the coastal regions, namely Al-Mahrah (84.4%), Hadramout (79.9%), and Al-Hodeidah (62.3%) [23]. In comparison, the prevalence of FGM/C in the rest of the governorates is lower, ranging from 0% in Al-Baidha to 21.5% in Reimah [23]. About 85% of FGM/C among girls was performed during the first week after birth, followed by approximately 15% in less than a year [23]. According to a survey in 2008–2009, older women, low household income, and low maternal education were associated with FGM/C [24]. Moreover, a secondary analysis of Yemen’s 1997 and 2003 demographic health surveys showed that women who had undergone FGM/C and their husbands were more likely to support the continuation of the practice among their daughters compared to those who did not undergo FGM/C [25].

To date, no law or regulation in Yemen prohibits the practice of FGM/C. In 2008, a Safe Motherhood bill was submitted to the Yemeni Parliament, but it was subsequently rejected due to a clause prohibiting FGM/C [25]. Continuous efforts have been made to reduce this practice. Many local organisations, supported by international partners such as the United Nations (UN), have implemented projects to reduce gender-based violence (GBV), including FGM/C in Yemen’s coastal governorates. To obtain baseline data on the behaviours, attitudes, and risk factors associated with GBV in Yemeni coastal areas, a survey was conducted by the Human Access for Partnership and Development with the support of the UN Fund for Population Activities. One of the main components of the survey revolved around the prevalence and risk factors of FGM/C among women and girls, the focus of our present study. The findings will serve as important guidelines for policy makers and international donors in the decision-making pertaining to the priorities and impact of ongoing and future projects aiming to mitigate FGM/C.

Methods

Study design

A cross-sectional survey was conducted between July and September 2020 in the Hadramout, Al-Mahrah, and Al-Hodeidah governorates in Yemen.

Study population and setting

The study population included women and men in the six districts within the three governorates. The targeted districts were Seiyun, Mukalla, and Ash Shihr in Hadramout; Hays and Al Khawkha in Al-Hodeidah; and Al Ghaydah in Al-Mahrah. This study was part of the GBV Protection Project implemented by the Human Access for Partnership and Development.

Sample size

A multiple indicator cluster survey strategy developed by UNICEF was used to calculate the required sample size. Using a 20% prevalence of violence among women and men based on a previous study [26], the sample size was obtained with two design effects based on a proportion of women and men in the total population of 0.5, a 0.12 relative margin of error at a 95% CI, an average family size of six members per household, a cluster size of 20 households, and a 20% nonresponse rate, giving rise to the required sample size of 926 households. The number of households was further increased to 1,000 and divided by 20, resulting in 50 clusters. As women experience different types of GBV at a higher frequency compared to men, the strategy was designed to target almost two-thirds of households with women (n = 650) and one-third of those with men (n = 350).

Sampling

A multistage cluster sampling was used. Each district was first divided into enumeration areas according to the 2004 census data from the Central Statistical Organisation. The sample size for each district was then determined proportionally according to population size based on the UN Office for the Coordination of Humanitarian Affairs projection for the year 2019 [27]. Enumeration areas were then selected for each district via simple random sampling. Lastly, households within those enumeration areas were selected using the method implemented by the World Health Organization Expanded Program on Immunisation surveys for rural and urban areas [28]. In each enumeration area, 13 houses (one woman from each house) and seven houses (one man from each house) were randomly selected. If there was more than one family in the same house, only one family would be chosen at random.

Data collection

Face-to-face interviews with women and men were carried out using structured questionnaires in their homes or places that ensured privacy and confidentiality. If the mothers were not available due to death, travel, or inability to remember, the eldest daughter who was the household’s primary caregiver would be interviewed instead. Similarly, if the fathers were unavailable on the interview days, the eldest son would be interviewed. The questionnaire contained different sections that captured data related to GBV, including FGM/C practice, knowledge, and attitude, as well as the characteristics of households, parents, and heads of households. The interviews were conducted by nine teams, each consisting of three women, a man, and a supervisor. All the team members received two days of training on data collection and questioning methods. On the third day, a pilot study was conducted before the actual data collection.

Study variables

The outcome variable was the practice of FGM/C. A woman was considered to have had FGM/C if she reported the removal of any part of external genitalia for non-medical reasons. A daughter was considered to have had FGM/C if her mother or father reported the removal of any part of her external genitalia for non-medical reasons [3]. To measure the prevalence of FGM/C among youngest daughters, the respondents were asked whether they had at least one daughter and if she had undergone FGM/C. The prevalence of FGM/C among youngest daughters was calculated as the total number of youngest daughters who had undergone FGM/C divided by 771 (the total number of households with at least one daughter).

Using 11 questions about the respondent’s knowledge of the physical, psychological, and social harms of FGM/C, an index was established to indicate the knowledge as either good or poor. A respondent’s attitude toward FGM/C was measured by their future desires to continue or stop the practice. For those who stated the desire to continue, potential reasons were enquired based on the five categories of virginity preservation, purity, societal acceptance, for religious requirement, and improved marriage prospects. The person who performed FGM/C could be a healthcare worker or a traditional practitioner. Other sociodemographic characteristics of the respondents that were obtained included their age in years (˂30, 30–39, and ≥ 40), education level (no education, primary, and secondary level and above), employment status (employed and unemployed), and place of residence (urban and rural).

Statistical analysis

Stata 16 (Stata Corp., College Station, Texas, USA) was used to analyse the data. Missing values were excluded. To adjust for the unequal probability of selection among the clusters, data were weighted using the “svy” command. Descriptive statistics were used to present the variables. To reduce the number of items under the knowledge category, principal components analysis with varimax rotation was used. A predictive value was then generated based on the median score. Scores above the median value indicate good knowledge while scores below the median indicate poor knowledge. The internal consistency was assessed using Cronbach’s alpha, which yielded a value of 0.794, indicating good consistency.

To obtain an updated understanding of the risk factors of FGM/C, bivariate analysis (Chi-square test) was performed to determine the risk factors associated with FGM/C among youngest daughters. Only variables with p-values of ≤ 0.05 were included in the multivariate logistic regression, except for the mother’s education which was included prior. In the bivariate analysis for the men’s group, the association between the sex of the head of the household and FGM/C among the youngest daughters was significant. However, one cell was zero. Thus, the variable of the gender of the household head was not included in the multivariate analysis.

Results

Four of the 650 women and five of the 350 men refused to participate in the study, resulting in a final sample size of 646 women and 345 men. Approximately 20.0% of women (n = 138) and men (n = 65) were younger than 30 years old. Most of them were of a low education level as only less than 20.0% (n = 105) of women and 45.0% (n = 150) of men had secondary education or higher. The majority of women (94.4%, n = 607) and two-thirds of men (67.8%, n = 232) were not employed. In terms of marital status, around 90.0% of women (n = 602) and men (n = 307) were married or have been married. Generally, most of the households (n = 931) were headed by men and almost half of the households (n = 497) stayed in rural areas (Table 1).

Table 1 Characteristics of respondents

Table 2 presents the prevalence, knowledge, and attitudes of FGM/C among women and girls. The prevalence of FGM/C was 89.0% (95% CI 84.0%-92.5%) and 79.8% (95% CI 73.5%-84.8%) among women (n = 572) and youngest daughters (n = 615) respectively. Among households with daughters (n = 771), 84.6% (95% CI 79.0%-88.9%) of households (n = 652) had at least one daughter who had undergone FGM/C. Moreover, 46.5% (n = 282) of FGM/C among youngest daughters was performed by traditional practitioners. In terms of knowledge and attitude, approximately two-thirds of women (70.8%, n = 449) and half of all men (48.8%, n = 168) reported poor knowledge about the harmful effects of FGM/C and 70.0% of women (n = 441) and men (n = 234) expressed a desire to subject their daughters to FGM/C in the future. Women indicated their desire to continue practising FGM/C among their daughters was driven by the promotion of girls’ cleanliness (65.8%, n = 289), for religious requirement (46.0%, n = 202), virginity preservation (26.6%, n = 117), and to improve the marriage prospects (1.6%, n = 7). Similarly, men also quoted similar reasons, i.e. promoting girls’ cleanliness (65.4%, n = 153), for religious requirement (43.6%, n = 102), virginity preservation (39.3%, n = 92), and improved marriage prospects (11.5%, n = 27) as the reasons behind their support for FGM/C. Among those who were against the continuation of FGM/C, almost half of women (47.3%, n = 89) and men (50.5%, n = 54) considered it as a bad habit, and one-quarter of them felt that it was against the religion. Another 39.3% (n = 42) of men and 30.3% (n = 57) of women perceived FGM/C as violence against women (Table 2).

Table 2 Prevalence, knowledge, and attitudes of respondents on female genital mutilation
Table 3 Unadjusted odds ratios for the FGM/C risk factors among youngest daughters by men and women

Table 3 shows the characteristics of respondents by the youngest daughter’s FGM/C status. Among women, the prevalence of FGM/C among the youngest daughters was higher with an increase in maternal age (P < 0.001). On the other hand, the prevalence of FGM/C among the youngest daughters decreased from 83.7% among those with no formal education to 75.8% among those with a secondary or higher level of education. However, this difference was not statistically significant (P = 0.381). The proportion of FGM/C was higher among youngest daughters whose mothers had experienced FGM/C than those who did not undergo FGM/C (P < 0.001), as well as among those whose mothers had poor knowledge about the harms of FGM/C compared to those who were better informed (P = 0.001). In addition, the prevalence of FGM/C was statistically higher if the mother expressed the desire to continue the practice of FGM/C (P < 0.001). Those living in rural areas also recorded a higher prevalence of FGM/C among their youngest daughters than those living in urban areas (P = 0.001).

As for men, the prevalence of FGM/C among the youngest daughters increased from 44.4% if the father was less than 30 years old to 81.3% if the father was 40 years or older (P < 0.001). The prevalence was higher among those whose fathers had primary education (83.0%) than those with no education (77.8%) or secondary education and higher (66.7%). Furthermore, daughters whose fathers expressed a desire to continue the practice of FGM/C reported a higher prevalence of FGM/C among their youngest daughters compared to their counterparts (Table 3). Additionally, for both male and women, the prevalence of FGM/C was higher in Hadramout compared to Al-Hodeidah and Al-Mahrah (Table 3).

In the multivariate analysis involving women, the odds of FGM/C were 7.16 times higher among the youngest daughters whose mothers’ age were ≥ 40 years (AOR 7.16, 95% CI 2.73–18.76) than those younger than 30 years old. In addition, the odds of FGM/C were eight times higher among the youngest daughters whose mothers support the continuation of FGM/C (AOR 8.07, 95% CI 3.64–17.89). Furthermore, those whose mothers did not undergo FGM/C before were less likely to have FGM/C (AOR 0.04, 95% CI 0.02-0.09). In terms of residence, those living in rural areas were at 3.95 times higher risk of being subjected to FGM/C (AOR 3.95, 95% CI 1.51–10.30) while those residing in Al-Hodeidah (AOR 0.30, 95% CI 0.11–0.82) and Al-Mahrah (AOR 0.24, 95% CI 0.11–0.53) governorates were less likely to have FGM/C compared with those residing in Hadramout. Lastly, mothers ’education and mothers’ knowledge were not significantly associated with FGM/C among the youngest daughters. As for men, the significant predictor of FGM/C among youngest daughters was fathers who supported the continuation of FGM/C (AOR 15.10, 95% CI 6.06–37.58) (Table 4).

Table 4 Multivariate analysis for the FGM/C risk factors among the youngest daughter in the coastal areas of Yemen

Discussion

This study was conducted among households in three governorates of Yemen where FGM/C was still commonly practised. As part of the study’s aim to identify intergenerational trends, the FGM/C prevalence among women and their youngest daughters was determined, along with the identification of risk factors associated with FGM/C among the youngest daughters. The prevalence of FGM/C among women obtained in this study (89.0%) differed widely from the prevalence obtained in a national survey (19.0%) [23]. One of the possible reasons could be the catchment area as the national survey included governorates known to have a low prevalence of FGM/C whereas our study focused on the coastal areas where FGM/C is still widely practised in the community.

In comparison with other countries, the prevalence of FGM/C in this study was close to that in Sudan (87.2%) [29], Egypt (90.0%) [30], and slightly lower than that in Djibouti (95.5%) [31] and Somalia (99.2%) [32]. However, it was considerably higher than other Arab countries, such as 18.2% in Saudi Arabia [33], 41.4% in the United Arab Emirates (UAE) [34], and 50.1% in the Erbil governorate of Iraq [35]. The difference in the prevalence rate was most likely due to the purposive selection of regions with high rates of FGM/C as study sites in our study. Apart from that, Iraqi and Emirati women also reported a higher level of education which might have an impact on the lower rates of FGM/C.

When compared to mothers, the prevalence of FGM/C among the youngest daughters was slightly lower by approximately 9%. This cross-generational gap may be a good indication of the attempts to combat the practice of FGM/C in these societies via the collaboration between the Yemeni government and international partners. However, more awareness programmes to deter the practice of FGM/C are still needed to further reduce the prevalence. The prevalence of FGM/C among the youngest daughters in this study was higher than those reported in the UAE [34], Ethiopia [36], and Sudan [37]. As abovementioned, we postulated that the differences in the prevalence were attributed to the different study populations, i.e. the Ethiopian and Sudanese studies were secondary analyses of health and demographic surveys that led to a prevalence representative of an entire country as compared to our findings that focused on highest groups at risk in certain regions.

In addition, this study reported that it was more common for traditional practitioners to perform FGM/C. This was in contrast with the findings from an Ethiopian study in which 94.4% of FGM/C among the surveyed daughters was performed by traditional practitioners [38]. Despite the high risk of infection from the use of contaminated tools by traditional practitioners, many families continue to request their services due to their faith and conviction in their expertise, as well as their trust in the traditional practitioners to keep the FGM/C confidential.

Nevertheless, more than half of the FGM/C of youngest daughters in this study was performed by healthcare staff despite a ministerial decree prohibiting the practice of FGM/C in both governmental and private health facilities [25]. In comparison, 73.7% of FGM/C on youngest daughters in Emirati households was performed by healthcare workers, likely because more households can afford the charges at healthcare facilities compared to Yemeni households [34]. Having FGM/C performed by qualified healthcare staff may reduce the risk of infection and distortion to the female external reproductive system. A recent review found that the main motivating factors for healthcare workers to perform FGM/C were reduced harm to girls, cultural reasons, financial gains, and responding to community requests [39]. On the other hand, legalising FGM/C or allowing healthcare staff to perform the procedure without a legal justification may wrongly foster the faith of the community members that FGM/C is a safe procedure, thereby potentially increasing its prevalence. As more than half of the FGM/C in this study was performed by healthcare workers, the policy makers need to re-evaluate if the practice should be banned altogether or to develop a safety guideline that enables the healthcare workers to perform FGM/C before it can be gradually eliminated with the proper awareness and educational campaigns.

Similar to previous reports, women’s intention to continue the practice of FGM/C for their daughters was statistically related to the presence of FGM/C among existing daughters [40]. The desire to continue FGM/C shown by the women and men in our study is likely influenced by the community and religious norms that promote the practice. Yemeni societies are made up of tribal systems governed by customs and traditions and almost all women and men follow these customs and traditions. In certain areas, FGM/C is commonly practised as it is an unwritten social convention [16]. The fear of social exclusion propels many people to follow their fellow community members and take up FGM/C practice [16]. Religious beliefs also support these social norms. Reports have indicated that religious beliefs are linked to the occurrence of FGM/C [21, 41]. In contrast, findings from a secondary analysis in Kenya highlighted that girls living in a community that discouraged FGM/C were less likely to have FGM/C [42].

Our results are consistent with findings from Kenya [43] and Chad [44] whereby mothers who had undergone FGM/C were more likely to undergo FGM/C. This is contrary to the expected belief that mothers who had undergone FGM/C would be less likely to subject their daughters to FGM/C as a result of the psychological and physical harm they experienced. One of the reasons could be the lack of influence of women’s opinion in the household as men are usually the decision-makers due to the societal norms and traditions in Eastern cultures such as Yemeni societies.

With regard to the urban-rural difference, the prevalence of FGM/C among the daughters of women was higher in the rural areas while the difference was not significant among the men. Many factors could explain the higher prevalence of FGM/C in rural areas. For instance, Yemeni villages usually consist of a small number of tribally-cohesive families that practised insular customs and traditions. In contrast, urban cities are often inhabited by families from different places with various customs and traditions. Furthermore, as a result of the lack of electricity, there is a low penetration of media and the Internet among rural residents who are mostly agricultural farmers. Last but not least, illiteracy among women, men, boys, and girls in rural areas could have also contributed to the low knowledge and high prevalence of FGM/C.

In women, the age of the mother being 40 years and above was statistically linked to FGM/C among youngest daughters. This explains that the practice of FGM/C may decrease in the younger generations. Unexpectedly, and in contrast to previous studies in Chad [44] and Sudan [45], the mothers’ education was not statistically associated with the FGM/C of the youngest daughters in our study. The lack of association between maternal education and FGM/C among youngest daughter might have been mediated by other factors such as social and cultural norms that were not evaluated in this study. Although education is a powerful tool in promoting positive changes and reducing harmful practices such as FGM/C, it can often take a long time for behavioural modifications, especially in countries or regions where societal pressure is strong [46]. Furthermore, the bivariate analysis showed that poor knowledge of mothers about the harms of FGM/C was associated with FGM/C among youngest daughters, but this relationship was not significant following multivariate regression. One of the possible reasons might be the strong influence of the respondent’s beliefs on the continuation of FGM/C. A recent meta-analysis revealed that despite an increased level of awareness, positive attitudes toward the eradication of FGM/C remained low in many counties [47].

Last but not least, the prevalence of FGM/C among the youngest daughters of women in Al-Hodeidah and Al-Mahrah was lower than in Hadramout. Similarly, the youngest daughters of men in Al-Mahrah were less likely to be subjected to FGM/C than those in Hadramout. The differences between these two areas may be related to their customs and traditions. Likewise, Al-Hodeidah is considered to be more vulnerable among all the provinces. For the past 10 years, international and local organisations have been actively organising various women’s protection programmes in Al-Hodeidah, which may have contributed to a reduced prevalence of FGM/C. Variations in the prevalence of FGM/C between regions in the same country have been reported in different contexts [48, 49]. In the recent national survey, Al-Mahrah recorded the highest prevalence of FGM/C in Yemen [23]. The lower prevalence in Al-Mahrah than in Hadramout recorded in this study was possibly due to the internal displacement caused by the civil war. Although this study did not address any factors related to war, a post-study follow-up survey revealed that most of those who had not undergone FGM/C were families displaced from the conflict areas in northern Yemen where the practice is less common.

Limitations

The study faced some limitations and challenges. Efforts to minimise non-response and other potential biases were attempted by collecting data in a place with guaranteed privacy. However, some participants were reluctant to answer certain sensitive questions during the pilot study. Thus, the question about the type of FGM/C was removed from the questionnaire. In addition, there was also potential recall bias for questions asked about past events. Furthermore, the sample size was initially calculated for a wider study on GBV. Thus, the sample size might be inadequate for the assessment of certain statistical associations in the multivariate model, for example, the difference between urban and rural men in relation to the practice. Lastly, this study also did not capture important demographic characteristics of the youngest daughters, the age when FGM/C was performed, and other war-related factors.

Despite the limitations, there are certain study strengths. Data obtained from 50 clusters or villages with a wide range of practices and beliefs meant that the results from this study are considered generalisable to the coastal areas in Yemen. Furthermore, the availability of trained data collectors who were given sufficient time to conduct interviews increased the accuracy and quality of the results.

Conclusion

FGM/C is still a common practice in the coastal areas of Yemen. Mothers’ and fathers’ strong beliefs about FGM/C, advanced maternal age of 40 years and above, rural residence, and mothers’ history of FGM/C were the strongest predictors of FGM/C among the current generation of girls. Interventions targeting different community sectors, such as women and men, religious men, rural societies, male and female students, as well as health workers, are vital to correct the misconceptions surrounding FGM/C.

Data Availability

The data that support the findings of this study are included in the manuscript. Datasets are available from the corresponding author upon reasonable request and with permission of [Human Access for Partnership and Development].

Abbreviations

FGM/C:

Female genital mutilation/Cutting

AOR:

Adjusted odds ratio

CI:

Confident intervals

GBV:

Gender-based violence

UN:

United Nations

UAE:

United Arab Emirates

References

  1. Khosla R, Banerjee J, Chou D, Say L, Fried ST. Gender equality and human rights approaches to female genital mutilation: a review of international human rights norms and standards. Reprod Health. 2017;14:59.

    Article  PubMed  PubMed Central  Google Scholar 

  2. United Nations children’s fund. Female genital mutilation (FGM). 2022. https://data.unicef.org/topic/child-protection/female-genital-mutilation/. Accessed 23 May 2022.

  3. World health organization. Female genital mutilation. 2022. https://www.who.int/news-room/fact-sheets/detail/female-genital-mutilation. Accessed 22 May 2022.

  4. Wikholm K, Mishori R, Ottenheimer D, Korostyshevskiy V, Reingold R, Wikholm C, et al. Female genital Mutilation/Cutting as Grounds for Asylum requests in the US: an analysis of more than 100 cases. J Immigr Minor Health. 2020;22:675–81.

    Article  PubMed  Google Scholar 

  5. Klein E, Helzner E, Shayowitz M, Kohlhoff S, Smith-Norowitz TA. Female genital mutilation: Health Consequences and Complications-A short literature review. Obstet Gynecol Int. 2018;2018:7365715–5.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Abdalla SM, Galea S. Is female genital mutilation/cutting associated with adverse mental health consequences? A systematic review of the evidence. BMJ Glob Health. 2019;4:e001553.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Im H, Swan LET, Heaton L. Polyvictimization and mental health consequences of female genital mutilation/circumcision (FGM/C) among somali refugees in Kenya. Women Health. 2020;60:636–51.

    Article  PubMed  Google Scholar 

  8. Lever H, Ottenheimer D, Teysir J, Singer E, Atkinson HG, Depression. Anxiety, post-traumatic stress disorder and a history of pervasive gender-based violence among women Asylum Seekers who have undergone female genital Mutilation/Cutting: a retrospective case review. J Immigr Minor Health. 2019;21:483–9.

    Article  PubMed  Google Scholar 

  9. Tammary E, Manasi K. Mental and sexual health outcomes associated with FGM/C in Africa: a systematic narrative synthesis. EClinicalMedicine. 2023;56:101813.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Nzinga A-M, De Andrade Castanheira S, Hermann J, Feipel V, Kipula AJ, Bertuit J. Consequences of female genital mutilation on women’s sexual health - systematic review and Meta-analysis. J Sex Med. 2021;18:750–60.

    Article  PubMed  Google Scholar 

  11. Pérez-López FR, Ornat L, López-Baena MT, Pérez-Roncero GR, Tajada-Duaso MC, Chedrau P. Association of female genital mutilation and female sexual dysfunction: a systematic review and meta-analysis. Eur J Obstet Gynecol Reprod Biol. 2020;254:236–44.

    Article  PubMed  Google Scholar 

  12. Akpak YK, Yilmaz I. The impact of female genital mutilation/cutting on obstetric outcomes and its management. J Matern Fetal Neonatal Med. 2022;35:927–32.

    Article  PubMed  Google Scholar 

  13. Anikwe CC, Ejikeme BN, Obiechina NJ, Okorochukwu BC, Obuna JA, Onu FA, et al. Female genital mutilation and obstetric outcome: a cross-sectional comparative study in a tertiary hospital in Abakaliki South East Nigeria. Eur J Obstet Gynecol Reprod Biol X. 2019;1:100005.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Nonterah EA, Kanmiki EW, Agorinya IA, Sakeah E, Tamimu M, Kagura J, et al. Prevalence and adverse obstetric outcomes of female genital mutilation among women in rural Northern Ghana. Eur J Public Health. 2020;30:561–7.

    Article  PubMed  Google Scholar 

  15. Lurie JM, Weidman A, Huynh S, Delgado D, Easthausen I, Kaur G. Painful gynecologic and obstetric complications of female genital mutilation/cutting: a systematic review and meta-analysis. PLoS Med. 2020;17:e1003088.

    Article  PubMed  PubMed Central  Google Scholar 

  16. World Health Organization. Female genital mutilation. 2023. https://www.who.int/news-room/fact-sheets/detail/female-genital-mutilation. Accessed 24 Feb 2023.

  17. Tordrup D, Bishop C, Green N, Petzold M, Vallejo FR, Vogel JP et al. Economic burden of female genital mutilation in 27 high-prevalence countries. BMJ Glob Health. 2022;7.

  18. Odukogbe A-TA, Afolabi BB, Bello OO, Adeyanju AS. Female genital mutilation/cutting in Africa. Transl Androl Urol. 2017;6:138–48.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Fagbamigbe AF, Morhason-Bello IO, Kareem YO, Idemudia ES. Hierarchical modelling of factors associated with the practice and perpetuation of female genital mutilation in the next generation of women in Africa. PLoS ONE. 2021;16:e0250411–1.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Arafa A, Mostafa A, Eshak ES. Prevalence and risk factors of female genital mutilation in Egypt: a systematic review. Clin Epidemiol Global Health. 2020;8:850–7.

    Article  Google Scholar 

  21. El-Dirani Z, Farouki L, Akl C, Ali U, Akik C, McCall SJ. Factors associated with female genital mutilation: a systematic review and synthesis of national, regional and community-based studies. BMJ Sex Reprod Health. 2022;48:169–78.

    Article  PubMed  PubMed Central  Google Scholar 

  22. United Nations Fund for Population Activities. 2023 UNFPA Humanitarian Response in Yemen. 2023. https://www.unfpa.org/resources/2023-unfpa-humanitarian-response-yemen. Accessed 24 Feb 2023.

  23. Ministryof Public Health and Population, Central Statistical Organization, The Pan Arab Program for Family Health, ICF International. Yemen National Health and Demographic Survey 2013. 2015. https://dhsprogram.com/pubs/pdf/FR296/FR296.pdf. Accessed 3 Feb 2021.

  24. Alosaimi AN, Essén B, Riitta L, Nwaru BI, Mouniri H. Factors associated with female genital cutting in Yemen and its policy implications. Midwifery. 2019;74:99–106.

    Article  PubMed  Google Scholar 

  25. Al-Khulaidi GA, Nakamura K, Seino K, Kizuki M. Decline of supportive attitudes among husbands toward female genital mutilation and its association to those practices in Yemen. PLoS ONE. 2013;8:e83140.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Wirtz AL, Perrin NA, Desgroppes A, Phipps V, Abdi AA, Ross B, et al. Lifetime prevalence, correlates and health consequences of gender-based violence victimisation and perpetration among men and women in Somalia. BMJ Glob Health. 2018;3:e000773.

    Article  PubMed  PubMed Central  Google Scholar 

  27. The United Nations Office for the Coordination of Humanitarian Affairs. Yemen Population 2019. 2019. https://data.humdata.org/dataset/population-estimates-in-yemen-for-2019/resource/7384b543-edf2-45d4-9189-3f993e0c0139. Accessed 2 Jun 2023.

  28. World Health Organization. Training for mid-level managers (MLM): module 7: the EPI coverage survey. Geneva: World Health Organization; 2020.

    Google Scholar 

  29. Birge Ö, Serin AN, Bakır MS. Female genital mutilation/cutting in sudan and subsequent pelvic floor dysfunction. BMC Womens Health. 2021;21:430–0.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Masho SW, Orekoya O, Lowery E, Wallenborn JT. Female genital mutilation and contraceptive use: findings from the 2014 Egypt demographic health survey. Int J Public Health. 2020;65:1151–8.

    Article  PubMed  Google Scholar 

  31. Minsart A-F, N’guyen T-S, Ali Hadji R, Caillet M. Maternal infibulation and obstetrical outcome in Djibouti. J Matern Fetal Neonatal Med. 2015;28:1741–6.

    Article  PubMed  Google Scholar 

  32. 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:e1004061.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Rouzi AA, Berg RC, Alamoudi R, Alzaban F, Sehlo M. Survey on female genital mutilation/cutting in Jeddah, Saudi Arabia. BMJ Open. 2019;9:e024684.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Al Awar S, Al-Jefout M, Osman N, Balayah Z, Al Kindi N, Ucenic T. Prevalence, knowledge, attitude and practices of female genital mutilation and cutting (FGM/C) among United Arab Emirates population. BMC Womens Health. 2020;20:79.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Shabila NP. Changes in the prevalence and trends of female genital mutilation in iraqi Kurdistan Region between 2011 and 2018. BMC Womens Health. 2021;21:137–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Azeze GA, Williams A, Tweya H, Obsa MS, Mokonnon TM, Kanche ZZ, et al. Changing prevalence and factors associated with female genital mutilation in Ethiopia: data from the 2000, 2005 and 2016 national demographic health surveys. PLoS ONE. 2020;15:e0238495–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Elduma AH. Female genital mutilation in Sudan. Open Access Maced J Med Sci. 2018;6:430–4.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Oljira T, Assefa N, Dessie Y. Female genital mutilation among mothers and daughters in Harar, eastern Ethiopia. Int J Gynaecol Obstet. 2016;135:304–9.

    Article  PubMed  Google Scholar 

  39. Doucet M-H, Pallitto C, Groleau D. Understanding the motivations of health-care providers in performing female genital mutilation: an integrative review of the literature. Reprod Health. 2017;14:46.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Cappa C, Thomson C, Murray C. Understanding the association between parental attitudes and the practice of female genital mutilation among daughters. PLoS ONE. 2020;15:e0233344.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Gudeta TA, Regassa TM, Gamtessa LC. Female genital mutilation: prevalence, associated factors and health consequences among reproductive age group women in Keffa Zone, Southwest, Ethiopia. Reprod Health. 2022;19:60.

    Article  PubMed  PubMed Central  Google Scholar 

  42. Grose RG, Hayford SR, Cheong YF, Garver S, Kandala N-B, Yount KM. Community Influences on female genital Mutilation/Cutting in Kenya: norms, Opportunities, and ethnic diversity. J Health Soc Behav. 2019;60:84–100.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Kandala N-B, Nnanatu CC, Atilola G, Komba P, Mavatikua L, Moore Z, et al. A spatial analysis of the prevalence of female genital Mutilation/Cutting among 0-14-year-old girls in Kenya. Int J Environ Res Public Health. 2019;16:4155.

    Article  PubMed  PubMed Central  Google Scholar 

  44. 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. BMC Public Health. 2021;21:286.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Sabahelzain MM, Gamal Eldin A, Babiker S, Kabiru CW, Eltayeb M. Decision-making in the practice of female genital mutilation or cutting in Sudan: a cross-sectional study. Glob Health Res Policy. 2019;4:5–5.

    Article  PubMed  PubMed Central  Google Scholar 

  46. United Nations Children’s Fund. Education: A powerful force against harmful practices. 2023. https://data.unicef.org/data-for-action/education-a-powerful-force-against-harmful-practices/. Accessed 16 Jun 2023.

  47. Jahangiry L, Pashaei T, Ponnet K. Attitudes toward female genital Mutilation/Circumcision: a systematic review and Meta-analysis. Healthc (Basel). 2021;9.

  48. Shabila N. Geographical variation in the prevalence of female genital mutilation in the Kurdistan region of Iraq. East Mediterr Health J. 2019;25:630–6.

    Article  PubMed  Google Scholar 

  49. Sakeah E, Debpuur C, Oduro AR, Welaga P, Aborigo R, Sakeah JK, et al. Prevalence and factors associated with female genital mutilation among women of reproductive age in the Bawku municipality and Pusiga District of northern Ghana. BMC Womens Health. 2018;18:150.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

The authors thank the data collector team. The authors also thank the participants for their contribution to the study.

Funding

This research was funded by the Human Access for Partnership and Development and United Nations Fund for Population Activities.

Author information

Authors and Affiliations

Authors

Contributions

M.A.A designed this study. M.A.A and M.H.A supervised the fieldwork. M.A.A analyzed and interpreted the data. M.A.A wrote the main manuscript. M.A.A and M.H.A revised the manuscript. All authors reviewed the manuscript.

Corresponding author

Correspondence to Mansour Abdu Al-Taj.

Ethics declarations

Ethics approval and consent to participate

All methods were carried out in accordance with relevant guidelines and regulations. This study was approved by the ethical committee of Sana’a University. The district managers received formal letters from the Human Access for Partnership and Development to conduct the study and oral consent was obtained. The oral informed consent as approved by the ethical committee of Sana’a University was obtained from all the participants involved in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Al-Taj, M.A., Al-hadari, M.H. Prevalence and drivers of female genital mutilation/cutting in three coastal governorates in Yemen. BMC Public Health 23, 1363 (2023). https://doi.org/10.1186/s12889-023-16299-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-023-16299-y

Keywords