Startseite Association Between Early Marriage and Domestic Violence Among Women in Afghanistan: A Quantitative Study from Bamyan Province
Artikel Open Access

Association Between Early Marriage and Domestic Violence Among Women in Afghanistan: A Quantitative Study from Bamyan Province

  • Mohammad Fazel Akbary EMAIL logo , Mohammad Taqi Taqaddausi und Razia Fahimi
Veröffentlicht/Copyright: 19. Dezember 2024
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

This study explores the factors influencing domestic violence (DV) among women in Bamyan, Afghanistan, with a particular focus on the impact of early marriage. Data were collected through a survey of 356 women aged 15–49 from 24 villages in Bamyan, covering a total population of 15,054. The study employs logistic regression and chi-square tests to analyze the data. Findings indicate a strong association between early marriage and an increased likelihood of experiencing emotional, physical, and sexual violence. Protective factors such as higher education, greater autonomy, and negative attitudes toward wife beating significantly reduce the odds of DV. However, higher education levels among husbands were linked to increased odds of emotional and overall domestic violence, highlighting that education alone may not challenge deep-seated gender norms. The results call for comprehensive interventions to delay marriage, enhance women’s autonomy, and address societal attitudes toward gender and violence, aiming to create a safer and more equitable environment for women in Bamyan.

1 Introduction

Domestic violence (DV) remains a critical and pervasive issue across diverse cultures and societies worldwide (Alhabib, Nur, and Jones 2010; Khan et al. 2018; Montoya and Rolandsen Agustín 2013; Semahegn and Mengistie 2015). It is commonly referred to as spousal violence or intimate partner violence and includes physical, emotional, and sexual abuse that severely impacts victims’ physical and psychological well-being including threats and coercion (Alokan 2013; Akbary, Ariyo, and Jiang 2022; Bostock, Plumpton, and Pratt 2009; UN Women 2022; United Nations 1993). The pervasive nature of DV predominantly affects with around one in three women globally and experiencing such violence in their lifetime (UNICEF 2014; WHO 2021). Globally, the prevalence of physical and sexual intimate partner violence varies significantly. For instance, rates of physical violence against women range from 20 % in the Western Pacific region to 35 % in South Asia (WHO 2024; 2021). These variations highlight the influence of regional cultural, economic, and social factors on DV prevalence.

Early marriage or child marriage, which is a public concern (Azizi et al. 2021) defined as formal or informal marriage before the age of 18 with another adult or child (Qamar, Harris, and Tustin 2022; The Government of the Islamic Republic of Afghanistan 2018; UNICEF 2014). The phenomenon counts as a human rights violation (Azizi et al. 2021; Pratiwi 2020; UNICEF 2005) and has high rates of prevalence worldwide with more than 1 in 3 women before the age of 15 (UNICEF 2014) and almost 39,000 child marriages daily (WHO 2013). Regionally, South Asia and Sub-Saharan Africa are the most common places of child marriage in the world. Niger in Africa has the highest overall rate of child marriages and Bangladesh in South Asia has the highest rate of very early marriages (UNICEF 2014). The prevalence of early marriage in Afghanistan (as a country in the South Asia context) according to (The Government of the Islamic Republic of Afghanistan 2018; WHO and HRP 2016) shows that 15 % of women who were between 15 and 49 years old, got married before 15 years old and 46 % married before 18 years old. However, statistics are variated from 35 to 50 % of child marriage in Afghanistan based on different studies and official reports (AIHRC 2016; 2017; Qamar, Harris, and Tustin 2022; The Government of the Islamic Republic of Afghanistan 2018; 2014; WHO and HRP 2016).

Early marriage is the critical factor influencing the prevalence and severity of domestic violence and strongly associated with an increased risk of experiencing various forms of it (Azizi et al. 2021; Hong Le et al. 2014; Kidman 2017; Nasrullah, Zakar, and Zakar 2014; Raj et al. 2010; Suyanto et al. 2023; Tran, Nguyen, and Fisher 2016; UNICEF 2005; UNICEF 2014; Verma and Nair 2022). Women who marry early often face greater vulnerability due to limited access to education, economic opportunities, and personal autonomy (Qamar, Harris, and Tustin 2022; Santhya et al. 2010; Singh and Samara 1996; UNICEF 2014). Studies show that early marriage is associated with higher rates of emotional, physical, and sexual violence, as young brides often have less power to assert their rights and are more likely to encounter abusive partners (Drumbl 2004; Pratiwi 2020; 2020; The Government of the Islamic Republic of Afghanistan 2018). The consequences are both destructive and far-reaching, including physical injuries (Mukanangana et al. 2014; Olufunmilola and Olusina 2016; Qamar, Harris, and Tustin 2022) and mental health issues such as stress, anxiety, and depression (Douki et al. 2003; Niaz 2003; Raj et al. 2010; Roberts et al. 1998; Van Mierlo 2012). Additionally, early marriage can lead to sexual health problems like unintended pregnancies and sexually transmitted infections (Jaya and Sandra 2023; Qamar, Harris, and Tustin 2022; Sattarzadeh, Farshbaf-Khalili, and Hatamian-Maleki 2019; WHO 2021). Beyond health effects, early marriage has significant social and economic impacts, including social isolation, reduced economic opportunities, and decreased participation in daily activities (Dasgupta 2000; Kidman 2017; Lloyd 1997; Mukanangana et al. 2014; Santhya et al. 2010; UN Women 2022)

Early marriage is a widespread practice in many regions globally, especially in areas marked by poverty, political instability, and entrenched patriarchal structures. Research indicates that early marriage is not just a social or cultural tradition but a practice deeply connected to power imbalances within families and communities (Jarvinen 1999). Studies conducted in South Asia, the Middle East, and parts of Africa consistently reveal that women who marry young face heightened risks of domestic violence (Niaz 2003; Olayanju et al. 2013). This vulnerability is often due to the limited autonomy, lack of financial independence, and restricted educational opportunities experienced by young brides, which collectively reduce their bargaining power and ability to protect themselves against abuse.

In Afghanistan, early marriage is a common phenomenon influenced by a complex mix of economic hardship, family honor, and traditional beliefs (Echavez, Mosawi, and Pilongo 2016; Qamar, Harris, and Tustin 2022; The Government of the Islamic Republic of Afghanistan 2018; WHO and HRP 2016). Estimates suggest that between 60 % and 80 % of marriages in the country are forced, with nearly half involving girls younger than 18 (Abirafeh 2007). Cultural practices such as badd, where daughters are married to resolve family disputes, and badal, which involves the exchange of brides between families, reinforce the transactional nature of marriage and deprive young women of choice (Drumbl 2004; Echavez, Mosawi, and Pilongo 2016; Kidman 2017; Taqaddausi, Akbary, and Behzad 2023). These practices reflect societal expectations that prioritize family stability and economic survival over the rights and wellbeing of women. Young Afghan women, especially those in rural and semi-rural areas, thus find themselves bound to marriages in which they have minimal control (Drumbl 2004). Forced into these relationships under societal pressure, these women are more likely to experience abuse from their husbands and in-laws, who often view them as property or economic assets (Pratiwi 2020; Qamar, Harris, and Tustin 2022; UNAMA 2022).

The connection between early marriage and domestic violence is a troubling reality for many Afghan women. Recent studies reveal that women married before the age of 15 are particularly at risk of sexual and physical abuse. For instance, Afghan women who married before 15 faced sexual violence at rates 22 % higher than those who married later (Qamar, Harris, and Tustin 2022). These early marriages lead to dependency, as young wives usually have limited access to education and employment (Hasrat 2012; Ibrahimi et al. 2021; Kamal 2006; Mannell et al. 2021; Rastin-tehrani and Yassari 2012; Shayagan 2012; Shayan 2015), which significantly curtails their ability to achieve financial independence. This dependency further entraps women in violent relationships, as economic reliance on their husbands and societal norms discourage leaving abusive situations (Taqaddausi, Akbary, and Behzad 2023). Furthermore, Afghanistan’s legal and social systems often fail to protect victims, particularly in rural settings where informal justice systems typically favor male authority and frequently rule against women seeking divorce or justice for abuse (Echavez, Mosawi, and Pilongo 2016; Pratiwi 2020; Van Mierlo 2012).

Efforts to address domestic violence in Afghanistan face significant obstacles, stemming from both societal attitudes or attitudes toward wife beating and structural challenges. Cultural norms strongly influence perceptions of domestic violence(Akbary, Ariyo, and Jiang 2022; Echavez, Mosawi, and Pilongo 2016; Taqaddausi, Akbary, and Behzad 2023), with abuse often being viewed as a private matter, a belief that discourages reporting and seeking assistance. The influence of informal justice systems, which are commonly used in rural communities (Santhya et al. 2010), further complicates intervention efforts. These systems tend to prioritize family honor over the welfare of individuals, particularly women, and often dismiss or trivialize cases of domestic violence.

While extensive research has explored the association, prevalence, and consequences of domestic violence and early marriage globally, significant gaps remain, particularly in the context of Afghanistan. This research addresses three specific gaps: the lack of region-specific quantitative data on early marriage and DV in Bamyan, as a different socio-cultural region in Afghanistan, limited examination of education and autonomy as factors influencing DV, and insufficient analysis of societal attitudes toward wife beating in the context of early marriage. moreover, we aim to provide insights that are specific to the Bamyan region regarding domestic violence among women married at a young age. These insights aim to inform policies and interventions that address the unique socio-cultural challenges in this region while promoting the rights and protection of women.

In alignment with the research gaps, this study seeks to address the following research questions:

  1. What is the association between early marriage and various forms of domestic violence (physical, emotional, and sexual) among women in Bamyan Province, Afghanistan?

  2. How do education level, women’s autonomy, and attitudes toward wife beating influence the prevalence and severity of domestic violence in the context of early marriage?

Based on the research questions, the following hypotheses have been developed:

H1:

There is a significant association between early marriage and increased prevalence of various forms of domestic violence (physical, emotional, and sexual) among women in Bamyan Province, Afghanistan.

H2:

Lower levels of education, limited autonomy, and attitudes supportive of wife beating are associated with a higher prevalence and severity of domestic violence among women married at a young age.

2 Data and Settings

2.1 Data

The data used in this paper are collected from the Bamyan province, Afghanistan between September to November 2022. Bamyan is a mountainous region located 2,900 m above sea level in the central highlands of Afghanistan. The local economy is primarily based on self-sufficiency, and the lack of industrial development results in limited job opportunities. Consequently, many residents engage in seasonal or migratory labor. Bamyan is particularly famous for its rich cultural heritage, especially the massive statue of Buddha. In this community, gender roles are distinct yet complementary. Men typically undertake physically demanding tasks such as caring for livestock, managing properties, and participating in volunteer work. In contrast, women are responsible for childcare, household management, and creating handicrafts and weavings to help support their families. During the planting and harvesting seasons, women also contribute to agricultural activities.

The data of which was collected using the well-structured questionnaire technique, the questionnaire developed based on authorized questionnaire of research department of Bamyan university. This study employed a cluster random sampling method to ensure logistical feasibility across the semi-rural urban population of Bamyan, Afghanistan. The study area covered four regions – Region 1, Region 2, Region 3, and Region 4 – selected based on pre-set geographic and demographic criteria. These regions comprise a total population of 15,054 across 1,980 households (NSIA 2020). Within these clusters, each household had an equal chance of selection, resulting in a sample of 356 households. The participants were women aged 15 to 45, with the sample size determined based on Cronbach’s alpha to ensure reliability (Khan et al. 2018). To reduce sampling error, the number of clusters was increased, supporting a representative cross-section of the population’s ethnic and socio-economic diversity, which includes a Hazara majority and Tajik and Sadat minorities. The primary occupations within these households – typically undertaken by male family members – included agriculture, small business, daily labor, NGO work, and government employment. This cluster sampling approach allowed for a comprehensive analysis of socio-cultural and economic factors relevant to the study’s objectives.

3 Variables

3.1 Dependent Variable

As shown in Table 1, in this study, the experience of any type of DV is used as dependent variable, indicating the experience of DV by respondents in their intimate lifetimes.

Table 1:

Definition and measurement of variables.

Variables Definition and measurement
Dependent variables

Emotional violence This variable indicates the emotional violence’s experience of DV by respondents, any respondents who answered “No” coded 0 and who responses “Yes” coded 1.
Physical violence This variable measured the respondents’ experience of physical violence in their intimate lifetime. It was described as a dichotomous variable (Yes vs. No)
Sexual violence It is a dichotomous variable, indicating the respondents’ sexual violence of DV, who responded “Yes” coded 1 and who said “No” coded 0.
Any domestic violence This variable is a dichotomous variable, generated from the three forms of DV, “Yes” coded 1 and “No” coded 0.

Independent variable

Age at first marriage This variable is representing the age of respondents at marriage time which she got married before 18 years old coded 1 (early marriage), or at 18 and above, coded 0 (legal age marriage)

Covariates

Autonomy This variable created from four questions and measured the women autonomy by 0 and 1.
Attitude toward wife beating This variable represents the attitude of women toward wife beating who were agree coded 1 otherwise coded 0.
Number of children This is a continuous variable that represent the number of children of the respondent.
Education level It is a categories variable included illiterate = 1, primary education = 2 and high literacy = 3.
Husband’s education level This measures the husbands’ education level, illiterate as 1, primary education as 2 and high literacy as 3.
Work status Work status measured by working as 1 and not working as 0.
Husband’s work status Husbands’ work status measured by working as 1 and not working as 0.
Ethnicity Hazara = 1 Sadat = 2 Tajik = 3

Emotional violence: Emotional violence was created from three questions: whether or not the respondent has ever been dishonoured; threatened with harm, disrespected or made to feel bad by their spouse or partner. If the respondent experienced at least one type of emotional IPV in the last 12 months, it was categorized as “Yes”; otherwise, it was categorized as “No”.

Physical violence: The survey questions regarding physical violence inquired about various forms of abuse experienced by the respondent from their partner or husband. These included instances of being pushed or shaken, having objects thrown at them, being slapped, punched, or struck with potentially injurious items. Additionally, the questions covered experiences of being kicked or pulled, strangled or burned, as well as threats involving knives, guns, or other weapons. The survey also asked about incidents where the respondent’s arm was twisted or hair was pulled by their intimate partner. It was also described as a dichotomous variable (Yes vs. No)

Sexual violence: The concept of sexual violence was derived from inquiries about whether the respondent had ever experienced forced sexual intercourse by her partner or husband against her will, been coerced into unwanted sexual activities, or been physically compelled to engage in sexual acts against her wishes. Who responded “Yes” coded 1 and who said “No” coded 0.

Any DV: Any DV was classified as ‘Yes’ if the participant experienced at least one form of DV within; otherwise, it was labeled as “No”. Each of the four DV variables was encoded as a binary value.

3.2 Independent Variables

Age at first marriage: In the literature some scholars highlight the age at first marriage before 18 as early marriage or child marriage (The Government of the Islamic Republic of Afghanistan 2018). As a result, we dichotomized the variable, according to whether the respondent married before 18 years of age or at 18 and above. Respondents who responded “Yes” coded 1 (early marriage) and those who said “No” coded 0 (legal age for marriage).

3.3 Covariates

Autonomy: Describes women’s autonomy based on the several statements: Women were asked to determine their level of agreement with the following inquiry: Family financial management is the responsibility of men only. The type of make-up and clothing of a woman outside the house should be according to men decision. A woman has no right to leave the house without her husband’s permission. Based on these questions we created a new variable named women autonomy. Those who agreed and were coded as 1 and those who did not were coded as 0.

Attitude toward wife beating: This variable measures the attitude of women toward wife beating, the question was asked if a woman disobeys her husband, does the man has the right to beat her? The answer “Yes” coded 1 and the answer “No” coded 0.

Number of children: The number children of the respondent had, was used as a continuous variable. The statistics show that the average total fertility rate in 2019 in Afghanistan was 4.32.

Education level: This variable described the educational level of respondents. Categories included illiterate, primary education and high literacy.

Husband’s education level: This variable described the educational level of respondents’ husbands. The categories included illiterate, primary education and high literacy.

Work status: this variable represents the respondents’ work status, those who were working during the survey coded 1 otherwise coded 0.

Husband’s work status: this variable measures the husbands’ work status if respondents’ husband were working coded 1 otherwise coded 0.

Ethnicity: Described the ethnic affiliation of the respondent. Based on the ethnic composition in Bamyan province, the categorizations included Hazara, Sadat, and Tajik (three categories).

4 Analytical Strategy

We utilized the dataset were collected from Bamyan province of Afghanistan to run a logistic regression model to determine the factors that influence the experience of domestic violence among women in Bamyan. Logistic regression was utilized to investigate the association between age at first marriage and the experience of domestic violence. To begin, descriptive statistical analysis was conducted to present the sample characteristics. Subsequently, considering the hierarchical nature of the data, logistic regression was employed to calculate the odds ratio (OR) for each of the dependent variables. We conducted a chi-square test to show the bivariate association between the dependent and the independent variables. The Chi-square test is used to test the correlation between variables (McCloskey, Williams, and Larsen 2005). To elude multi-collinearity, we conducted a diagnostic check among the socio-cultural variables, all variance inflation factors (VIF) were below 10, with an average VIF of 1.76. All the analyses were performed in STATA V.18.1.

5 Results

5.1 Bivariate Analysis

Table 2 shows the sample characteristics by experienced of emotional, physical, sexual and any form of domestic violence. Variables such as age at first marriage, women’s autonomy, attitude toward wife beating, number of living children, respondents’ educational attainment, husbands’ educational attainment, and work status shows significantly bivariate relationship with experiencing of DV at (P < 0.001).

Table 2:

Sample characteristics by different type of domestic violence.

Variables Emotional Violence (N = 356) Test Physical violence (N = 356) Test Sexual Violence (N = 356) Test Any DV (N = 356) Test
N 241 (67.7 %) 185 (52.0 %) 216 (60.7 %) 259 (72.8 %)
Age at first marriage <0.001 <0.001 <0.001 <0.001
 Legal age (16 and above) 129.00 (53.5 %) 81.00 (43.8 %) 105.00 (48.6 %) 136.00 (52.5 %)
 Early marriage (under 15) 112.00 (46.5 %) 104.00 (56.2 %) 111.00 (51.4 %) 123.00 (47.5 %)
Women’s autonomy <0.001 <0.001 <0.001 <0.001
 Low 135.00 (56.0 %) 91.00 (49.2 %) 118.00 (54.6 %) 146.00 (56.4 %)
 High 106.00 (44.0 %) 94.00 (50.8 %) 98.00 (45.4 %) 113.00 (43.6 %)
Attitude toward wife beating 0.503 0.554 0.347 0.905
 Disagree 116.00 (48.1 %) 84.00 (45.4 %) 97.00 (44.9 %) 122.00 (47.1 %)
 Agree 125.00 (51.9 %) 101.00 (54.6 %) 119.00 (55.1 %) 137.00 (52.9 %)
Number of living children 0.002 <0.001 0.017 <0.001
 No child 17.00 (7.1 %) 9.00 (4.9 %) 15.00 (6.9 %) 18.00 (6.9 %)
 Under six 191.00 (79.3 %) 148.00 (80.0 %) 174.00 (80.6 %) 206.00 (79.5 %)
 Above eight 33.00 (13.7 %) 28.00 (15.1 %) 27.00 (12.5 %) 35.00 (13.5 %)
Education <0.001 <0.001 <0.001 <0.001
 Illiterate 156.00 (64.7 %) 125.00 (67.6 %) 138.00 (63.9 %) 167.00 (64.5 %)
 Elementary 47.00 (19.5 %) 44.00 (23.8 %) 53.00 (24.5 %) 52.00 (20.1 %)
 Higher 38.00 (15.8 %) 16.00 (8.6 %) 25.00 (11.6 %) 40.00 (15.4 %)
Husband’s education 0.021 0.002 0.011 0.123
 Illiterate 96.00 (39.8 %) 86.00 (46.5 %) 101.00 (46.8 %) 111.00 (42.9 %)
 Elementary 90.00 (37.3 %) 68.00 (36.8 %) 74.00 (34.3 %) 91.00 (35.1 %)
 Higher 55.00 (22.8 %) 31.00 (16.8 %) 41.00 (19.0 %) 57.00 (22.0 %)
Work status <0.001 <0.001 <0.001 <0.001
 Not working 209.00 (86.7 %) 172.00 (93.0 %) 188.00 (87.0 %) 224.00 (86.5 %)
 Working 32.00 (13.3 %) 13.00 (7.0 %) 28.00 (13.0 %) 35.00 (13.5 %)
Husband work status 0.163 0.037 0.830 0.256
 Not working 76.00 (31.5 %) 63.00 (34.1 %) 64.00 (29.6 %) 80.00 (30.9 %)
 Working 165.00 (68.5 %) 122.00 (65.9 %) 152.00 (70.4 %) 179.00 (69.1 %)
Ethnicity 0.494 0.023 0.109 0.013
 Hazara 174.00 (72.2 %) 124.00 (67.0 %) 150.00 (69.4 %) 181.00 (69.9 %)
 Sadat 24.00 (10.0 %) 21.00 (11.4 %) 23.00 (10.6 %) 26.00 (10.0 %)
 Tajik 43.00 (17.8 %) 40.00 (21.6 %) 43.00 (19.9 %) 52.00 (20.1 %)
  1. Using test Pearson across level of outcome variables.

5.2 Logistic Regression Result

Table 3 illustrates the logistic regression results on the association between various factors and the likelihood of experiencing different forms of DV in Afghanistan. The table lists odds ratios (Eform) for each variable, which represent the change in the odds of experiencing DV when that variable changes by one unit, holding other variables constant. Age at first marriage, early marriage is significantly associated with all forms of domestic violence. After adjusting for covariates, we found that an increase in one unit of early marriage had 82 % (OR = 1.822, P < 0.05), mor than 3 time (OR = 3.616, P < 0.01), more than twice (OR = 2.833, P < 0.01), and more than twice (OR = 2.788, P < 0.01) increased likelihood of experiencing emotional DV, physical DV, sexual DV and any DV, respectively.

Table 3:

Association between age at first marriage and domestic violence.

OR OR OR OR
Variables E/DV P/DV S/DV Any DV
Age at first marriage (ref = legal age marriage)
 Early marriage 1.822** 3.616*** 2.883*** 2.788***
(1.031 – 3.221) (2.107 – 6.206) (1.675 – 4.960) (1.449 – 5.363)
Women autonomy (ref = low)
 Low autonomy 2.140*** 2.951*** 2.027*** 2.272**
(1.204 – 3.804) (1.716 – 5.075) (1.185 – 3.469) (1.201 – 4.299)
Attitude toward wife beating (ref = Agree)
 Disagree 0.468*** 0.577* 0.814 0.466**
(0.266 – 0.824) (0.332 – 1.002) (0.483 – 1.371) (0.256 – 0.847)
Number of living children (ref = no child)
 Under 6 children 1.422 1.378 0.993 1.368
(0.619 – 3.265) (0.515 – 3.686) (0.431 – 2.286) (0.591 – 3.170)
 Seven and above 1.969 1.764 0.822*** 1.468
(0.583 – 6.657) (0.502 – 6.196) (0.264 – 2.562) (0.401 – 5.376)
Education level (ref = No education)
 Elementary level 0.474 1.311 1.456 0.503*
(0.240 – 0.935) (0.683 – 2.517) (0.740 – 2.867) (0.242 – 1.047)
 Higher level 0.400* 0.611 0.282* 0.395*
(0.148 – 1.080) (0.228 – 1.635) (0.110 – 0.724) (0.142 – 1.095)
Husband’s education level (ref = No education)
 Elementary level 2.130** 0.965 0.806 1.323
(1.146 – 3.959) (0.541 – 1.722) (0.456 – 1.426) (0.684 – 2.561)
 Higher level 2.539** 0.888 0.938 1.877
(1.217 – 5.298) (0.427 – 1.846) (0.472 – 1.868) (0.874 – 4.033)
Work status (ref = Not working)
 Working 0.300*** 0.199*** 0.679 0.283***
(0.134 – 0.674) (0.082 – 0.482) (0.299 – 1.542) (0.123 – 0.652)
Husband’s work status (ref = Not working
 Working 0.991 0.902 1.539 1.211
(0.548 – 1.792) (0.511 – 1.591) (0.883 – 2.682) (0.639 – 2.298)
Ethnicity (ref = Hazara)
 Sadat 0.911 2.438** 1.577 1.157
(0.399 – 2.080) (1.031 – 5.761) (0.714 – 3.480) (0.497 – 2.696)
 Tajik 0.820 1.518 1.339 2.080
(0.391 – 1.716) (0.740 – 3.114) (0.649 – 2.763) (0.820 – 5.275)
 Observations 356 356 356 356
  1. ciEform in parentheses | E/DV = Emotional DV| P/DV = Physical DV | S/DV=Sexual DV. ∗∗∗p<0.001, ∗∗p<0.01, ∗p<0.05+0.1

Women with high autonomy have significantly lower odds of experiencing all forms of DV, as compared to those with low autonomy. Specifically, the odds ratios were (OR = 2.140, OR = 2.951, OR = 2.027, OR = 2.272; P < 0.01) respectively, which suggests that higher autonomy is protective against DV. Furthermore, disagreeing with wife beating is significantly associated with lower odds of all forms of DV. The odds ratios were (OR = 0.468, P < 0.01), (OR = 0.577, P < 0.1), (OR = 0.466; P < 0.05) respectively, indicating that those who disagree with wife beating are much less likely to experience DV.

Women with higher levels of education have significantly lower odds of experiencing all forms of DV compared to those with no education. The odds ratios were (0.400, 0.611, 0.282, and 0.395) respectively, indicating that education is a protective factor. Interestingly, higher levels of the husband’s education are associated with higher odds of emotional and any form of DV, but not significantly with physical or sexual violence.

The odds of experiencing emotional, physical, and any form of domestic violence are significantly lower for employed women compared to those who are not working. Specifically, the odds ratios are 0.300, 0.199, and 0.283, respectively, indicating that employment may provide some protection against domestic violence.

According to the study, early marriage, low levels of women’s autonomy, and attitudes that condone wife beating are risk factors for domestic violence in Afghanistan. On the other hand, higher education levels for women, women’s employment, and disagreement with wife beating are protective factors. These findings emphasize the need to consider these factors when developing policies and interventions to prevent domestic violence.

6 Discussions

The findings of this study align with existing literature, emphasizing the pervasive and multi-faceted nature of domestic violence (DV) globally and its significant association with early marriage, particularly in regions like Afghanistan. Domestic violence, which includes physical, emotional, and sexual abuse, is a critical issue that affects one in three women worldwide, with variations in prevalence influenced by cultural, economic, and social factors (Alhabib, Nur, and Jones 2010; Khan et al. 2018; Montoya and Rolandsen Agustín 2013; Semahegn and Mengistie 2015). The current study’s findings on the prevalence and risk factors of domestic violence in Bamyan, Afghanistan, contribute to this global discourse, highlighting early marriage as a key determinant of DV.

The study’s results underscore that early marriage significantly increases the odds of experiencing all forms of domestic violence – emotional, physical, and sexual. This is consistent with previous research, which identifies early marriage as a critical factor exacerbating women’s vulnerability to abuse (Azizi et al. 2021; Hong Le et al. 2014; Kidman 2017; Nasrullah, Zakar, and Zakar 2014; Raj et al. 2010). Women who marry before the legal age are more likely to experience various forms of violence due to their limited autonomy, education, and economic opportunities (Qamar, Harris, and Tustin 2022; Santhya et al. 2010; Singh and Samara 1996; The Government of the Islamic Republic of Afghanistan 2018). These women often find themselves in powerless positions, making them more susceptible to abuse by their partners (Drumbl 2004; Pratiwi 2020).

The literature also highlights the broader implications of early marriage, including physical and mental health issues, social isolation, and economic marginalization (Dasgupta 2000; Kidman 2017; Mukanangana et al. 2014). In the context of Afghanistan, where forced and child marriages are prevalent, the consequences of early marriage are particularly severe. The study’s findings resonate with reports indicating that women who marry before the age of 15 experience higher rates of sexual violence (Qamar, Harris, and Tustin 2022) and other forms of abuse, such as honor killings, forced prostitution, and human trafficking (AIHRC 2017; Echavez, Mosawi, and Pilongo 2016; Qamar, Harris, and Tustin 2022; UNICEF 2005).

Furthermore, this study highlights the protective role of autonomy, education, and employment in reducing the odds of domestic violence. These findings are consistent with global literature, which emphasizes the importance of empowering women through education and economic opportunities to mitigate the risk of DV (UNICEF 2014; WHO 2021). In Afghanistan, where women’s access to education and employment is often restricted (Hasrat 2012; Ibrahimi et al. 2021; Kamal 2006; Shayan 2015), enhancing these opportunities is crucial in addressing domestic violence.

Both this study and Qamar (2022) examine early marriage and domestic violence, but with different focuses. Qamar (2022) highlights the link between early marriage and sexual violence, identifying it as the main form of abuse faced by young brides. In contrast, this research shows that early marriage in Afghanistan is associated with not only sexual but also physical and emotional abuse, suggesting a more widespread impact. The findings indicate that early marriage increases the risk of all forms of domestic violence, pointing to a more complex issue than previously documented.

This study provides valuable insights into the complex relationship between early marriage and domestic violence among Afghan women, but it has limitations. The cross-sectional design restricts its ability to establish causal relationships between early marriage, domestic abuse, and socio-demographic factors. Long-term studies are needed to better understand the evolving dynamics. Additionally, the findings specific to Bamyan may not be applicable to other regions of Afghanistan or to countries with different cultural, social, and legal contexts. Future research should utilize longitudinal methods to investigate the causal relationships between early marriage, spousal abuse, and protective factors over time. This approach will provide a deeper understanding of these dynamics. Although this study concentrated on women, it is important for future research and interventions to also examine the role of men in perpetuating domestic abuse and child marriage. Engaging men and boys as advocates for gender equality and healthy relationships is crucial for achieving sustainable change.

7 Conclusions

In conclusion, the analysis of domestic violence among women in Bamyan, Afghanistan, reveals significant associations between various socio-demographic factors and the likelihood of experiencing different forms of domestic violence. Early marriage emerged as a substantial risk factor, with women who married before the legal age more likely experiencing emotional, physical, sexual, and any form of domestic violence. Women with higher autonomy less likely to experience domestic violence across all form of DV, indicating that autonomy is a protective factor of DV. Similarly, disagreeing with wife-beating was associated with lower experience of DV, highlighting the protective effect of rejecting harmful cultural norms. Education also played a crucial role; women with higher levels of education less likely to experience DV. Employment further contributed to lower likelihood of experience of DV.

Strengthening laws against domestic abuse and child marriage is essential. Implementing legal frameworks to protect women’s rights can reduce domestic violence. Grassroots educational initiatives that highlight the harms of early marriage and domestic abuse can help shift societal norms. These programs should involve both genders to promote social change. Projects aimed at enhancing women’s independence – such as job training and education – can economically and socially empower women, making them less vulnerable to domestic abuse. Additionally, accessible support systems for victims of domestic violence are crucial.


Corresponding author: Mohammad Fazel Akbary, School of Public Policy and Administration, Xi’an Jiaotong University, Xi’an, China; and Sociology Department, Bamyan University, Bamyan, Afghanistan, E-mail:

  1. Research ethics: This study includes human subjects, procedures, and well-structured questionnaires that have been evaluated and authorized by Bamyan University’s Department of Research. Before participating, participants provided informed consent.

  2. Informed consent: Participants provided informed consent before taking part in the study.

  3. Author contributions: The study was designed by MFA, who also conducted the data curation, performed the formal analysis, and wrote the initial draft. MFA also participated in the writing, review, and editing processes. MFA, who acts as a guarantor for the publication’s overall content, ensures the accuracy and integrity of the research. MTT contributed to the data curation, formal analysis, project administration, and software, and also took part in the writing, review, and editing processes. RF was involved in the data collection process.

  4. Use of Large Language Models, AI and Machine Learning Tools: Grammarly was used for improving the language.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

References

Abirafeh, Lina. 2007. “Freedom Is Only Won from the Inside: Domestic Violence in Post-Conflict Afghanistan.” In Change From Within: Diverse Perspectives on Domestic Violence in Peaceful Communities. USA: Peaceful Families Project.Suche in Google Scholar

AIHRC. 2016. Violence Agianst Women; Factors, Contexts and Situation of Violence against Women in Afghanistan. Kabul, Afghanistan: Afghanistan Independent Human Rights Commission. (Persian).Suche in Google Scholar

AIHRC. 2017. Summary of the Report on Violence against Women the Causes, Context, and Situation of Violence against Women in Afghanistan. Kabul: Afghanistan Independent Human Rights Commission.Suche in Google Scholar

Akbary, Mohammad Fazel, Tolulope Ariyo, and Quanbao Jiang. 2022. “Sociocultural Determinants of Attitudes toward Domestic Violence Among Women and Men in Afghanistan: Evidence from Afghanistan Demographic and Health Survey 2015.” Journal of Interpersonal Violence 37 (11–12): NP9320–44. https://doi.org/10.1177/0886260520980400.Suche in Google Scholar

Alhabib, Samia, Ula Nur, and Roger Jones. 2010. “Domestic Violence against Women: Systematic Review of Prevalence Studies.” Journal of Family Violence 25 (4): 369–82. https://doi.org/10.1007/s10896-009-9298-4.Suche in Google Scholar

Alokan, Funmilola Bosede. 2013. “Domestic Violence against Women: A Family Menace.” European Scientific Journal 9 (19).Suche in Google Scholar

Azizi, Marzieh, Mahmoud Abbasi, Haniyeh Nazem, Hadi Raeis Abdollahi, and Farzane Alidost. 2021. “The Most Prevalent Intimate Partner Violence; Physical, Sexual, Verbal, or Emotional in Early Marriage: A Narrative Review.” Journal of Pediatrics Review 9 (1): 27–36. https://doi.org/10.32598/jpr.9.1.905.1.Suche in Google Scholar

Bostock, J. A. N., Maureen Plumpton, and Rebekah Pratt. 2009. “Domestic Violence against Women: Understanding Social Processes and Women’s Experiences.” Journal of Community & Applied Social Psychology 19 (2): 95–110. https://doi.org/10.1002/casp.985.Suche in Google Scholar

Dasgupta, Shamita Das. 2000. “Charting the Course: An Overview of Domestic Violence in the South Asian Community in the United States.” Journal of Social Distress and the Homeless 9 (3): 173–85. https://doi.org/10.1023/A:1009403917198.10.1023/A:1009403917198Suche in Google Scholar

Douki, S., F. Nacef, A. Belhadj, A. Bouasker, and R. Ghachem. 2003. “Violence against Women in Arab and Islamic Countries.” Archives of Women’s Mental Health 6 (3): 165–71. https://doi.org/10.1007/s00737-003-0170-x.Suche in Google Scholar

Drumbl, Mark A. 2004. “Rights, Culture, and Crime: The Role of Rule of Law for the Women of Afghanistan.” Columbia Journal of Transnational Law 42 (2): 349–90. https://doi.org/10.2139/ssrn.452440.Suche in Google Scholar

Echavez, Chona R., SayedMahdi Mosawi, and Leah Wilfreda Pilongo. 2016. The Other Side of Gender Inequality: Men and Masculinities in Afghanistan. Kabul: Afghanistan Research and Evaluation Unit.Suche in Google Scholar

Hasrat, M. Hussain. 2012. Violence against Women in Afghanistan Factors, Root Causes and Situation A Research Report. Kabul: Afghanistan Independent Human Rights Commission. https://www.aihrc.org.af/media/file/Research%2520Reports/Dari/Report.Suche in Google Scholar

Hong Le, Minh Thi, Thach Duc Tran, Huong Thanh Nguyen, and Jane Fisher. 2014. “Early Marriage and Intimate Partner Violence Among Adolescents and Young Adults in Viet Nam.” Journal of Interpersonal Violence 29 (5): 889–910. https://doi.org/10.1177/0886260513505710.Suche in Google Scholar

Ibrahimi, Sahra, Amirhossein Alamdar Yazdi, Korede K. Yusuf, and Hamisu M. Salihu. 2021. “Association of Domestic Physical Violence with Feto-Infant Outcomes in Afghanistan.” Asia Pacific Journal of Public Health 33 (2–3): 273–9. https://doi.org/10.1177/1010539520977333.Suche in Google Scholar

Jarvinen, Margaretha. 1999. “Immovable Magic – Pierre Bourdieu on Gender and Power.” NORA – Nordic Journal of Feminist and Gender Research 7 (1): 6–19. https://doi.org/10.1080/08038749950167706.Suche in Google Scholar

Jaya, Alwi, and Gustika Sandra. 2023. “Implications of Early Marriage on Health and Household Harmony.” COMSERVA: Jurnal Penelitian Dan Pengabdian Masyarakat 3 (02): 818–22.Suche in Google Scholar

Kamal, Sarah. 2006. “Development Communications Strategies and Domestic Violence in Afghanistan.” In Change from Within: Diverse Perspectives on Domestic Violence in Muslim Communities, edited by Maha B. Alkhateeb and Salma Elkadi Abugideiri, 221–34. Great Falls, VA: Peaceful Families Project.Suche in Google Scholar

Khan, Mussarat J., Kehkashan Arooj, Hafsah Arif, Noreen Nazir, and Mehwash Nosheen. 2018. “Attitude of Male and Female University Students towards Gender Discrimination.” Pakistan Journal of Psychological Research 33 (2): 429–36.Suche in Google Scholar

Kidman, Rachel. 2017. “Child Marriage and Intimate Partner Violence: A Comparative Study of 34 Countries.” International Journal of Epidemiology 46 (2): 662–75. https://doi.org/10.1093/ije/dyw225.Suche in Google Scholar

Lloyd, Susan. 1997. “The Effects of Domestic Violence on Women’s Employment.” Law & Policy 19 (2): 139–67. https://doi.org/10.1111/1467-9930.00025.Suche in Google Scholar

Mannell, Jenevieve, Gulraj Grewal, Lida Ahmad, and Ayesha Ahmad. 2021. “A Qualitative Study of Women’s Lived Experiences of Conflict and Domestic Violence in Afghanistan.” Violence Against Women 27 (11): 1862–78. https://doi.org/10.1177/1077801220935191.Suche in Google Scholar

McCloskey, Laura Ann, Corrine Williams, and Ulla Larsen. 2005. “Gender Inequality and Intimate Partner Violence Among Women in Moshi, Tanzania.” International Family Planning Perspectives 31 (3): 124–30. https://doi.org/10.1363/3112405.Suche in Google Scholar

Montoya, Celeste, and Lise Rolandsen Agustín. 2013. “The Othering of Domestic Violence: The EU and Cultural Framings of Violence against Women.” Social Politics: International Studies in Gender, State & Society 20 (4): 534–57. https://doi.org/10.1093/sp/jxt020.Suche in Google Scholar

Mukanangana, Festus, Stanzia Moyo, Alfred Zvoushe, and Oswell Rusinga. 2014. “Gender Based Violence and its Effects on Women ’ S Reproductive Health : The Case of Hatcliffe , Harare , Zimbabwe.” African Journal of Reproductive Health 18 (1): 110–22.Suche in Google Scholar

Nasrullah, Muazzam, Rubeena Zakar, and Muhammad Zakria Zakar. 2014. “Child Marriage and its Associations with Controlling Behaviors and Spousal Violence against Adolescent and Young Women in Pakistan.” Journal of Adolescent Health 55 (6): 804–9. https://doi.org/10.1016/j.jadohealth.2014.06.013.Suche in Google Scholar

Niaz, Unaiza. 2003. “Violence against Women in South Asian Countries.” Archives of Women’s Mental Health 6 (3): 173–84. https://doi.org/10.1007/s00737-003-0171-9.Suche in Google Scholar

NSIA. 2020. Estimated Population of Afghanistan 2020-21. Yearly. Kabul: National Statistics and Information Authority.Suche in Google Scholar

Olayanju, L., R. N. G. Naguib, Q. T. Nguyen, R. K. Bali, and N. D. Vung. 2013. “Combating Intimate Partner Violence in Africa: Opportunities and Challenges in Five African Countries.” Aggression and Violent Behavior 18 (1): 101–12. https://doi.org/10.1016/j.avb.2012.11.003.Suche in Google Scholar

Olufunmilola, Banjo Olufunmilayo, and Bamiwuye Samson Olusina. 2016. “Attitude towards Spousal Physical Violence and Fertility Behavior Among Currently Married Women in Nigeria.” Paper presented at the 2016 Annual Meeting of Population Association of America. Whashington. D. C. https://paa.confex.com/paa/2016/mediafile/ExtendedAbstract/Paper4177/Banjo_SPVANDFERTILITYINNIGERIA_PAAconference.pdf.Suche in Google Scholar

Pratiwi, M. Riska Anandya Putri. 2020. “The Impact of Early Marriage in the Fulfilment of Women Rights.” The Indonesian Journal of International Clinical Legal Education 2 (4): 449–62.Suche in Google Scholar

Qamar, Mavra, M. Anne Harris, and Jordan L. Tustin. 2022. “The Association between Child Marriage and Domestic Violence in Afghanistan.” Journal of Interpersonal Violence 37 (5–6): 2948–61. https://doi.org/10.1177/0886260520951310.Suche in Google Scholar

Raj, Anita, Niranjan Saggurti, Danielle Lawrence, Donta Balaiah, and Jay G. Silverman. 2010. “Association between Adolescent Marriage and Marital Violence Among Young Adult Women in India.” International Journal of Gynecology & Obstetrics 110 (1): 35–9. https://doi.org/10.1016/j.ijgo.2010.01.022.Suche in Google Scholar

Rastin-Tehrani, Kabeh, and Nadjma Yassari. 2012. Max Planck Manual on Family Law in Afghanistan Authors, amended 2nd ed. Heidelberg: MPIL.Suche in Google Scholar

Roberts, Gwenneth L., Joan M. Lawrence, Gail M. Williams, and Beverley Raphael. 1998. “The Impact of Domestic Violence on Women’s Mental Health.” Australian & New Zealand Journal of Public Health 22 (7): 796–801. https://doi.org/10.1111/j.1467-842X.1998.tb01496.x.Suche in Google Scholar

Santhya, Kidangamparampil G., Usha Ram, Rajib Acharya, Shireen J. Jejeebhoy, Faujdar Ram, and Abhishek Singh. 2010. “Associations between Early Marriage and Young Women’s Marital and Reproductive Health Outcomes: Evidence from India.” International Perspectives on Sexual and Reproductive Health 36 (3): 132–9. https://doi.org/10.1363/3613210.Suche in Google Scholar

Sattarzadeh, Niloufar, Azizeh Farshbaf-Khalili, and Tayebeh Hatamian-Maleki. 2019. “An Evidence-Based Glance at Domestic Violence Phenomenon in Early Marriages: A Narrative Review.” International Journal of Women’s Health and Reproduction Sciences 7 (3): 246–54. https://doi.org/10.15296/ijwhr.2019.42.Suche in Google Scholar

Semahegn, Agumasie, and Bezatu Mengistie. 2015. “Domestic Violence against Women and Associated Factors in Ethiopia; Systematic Review.” Reproductive Health 12 (1): 78. https://doi.org/10.1186/s12978-015-0072-1.Suche in Google Scholar

Shayagan, Hussaindad. 2012. Investigating the Job Opportunities of Educated Women in Afghanistan. Kabul: Mowlana Balkhi.Suche in Google Scholar

Shayan, Zafar. 2015. “Gender Inequality in Education in Afghanistan: Access and Barriers.” Open Journal of Philosophy 5 (5): 277–84. https://doi.org/10.4236/ojpp.2015.55035.Suche in Google Scholar

Singh, Susheela, and Renee Samara. 1996. “Early Marriage Among Women in Developing Countries.” International Family Planning Perspectives 22 (4): 148–75. https://doi.org/10.2307/2950812.Suche in Google Scholar

Suyanto, Bagong, Rahma Sugihartati, Medhy Aginta Hidayat, Nadia Egalita, and Siti Mas’udah. 2023. “The Causes and Impacts of Early Marriage: The Ordeal of Girls in East Java, Indonesia.” Sociologia, Problemas e Práticas 101: 71–94. https://doi.org/10.7458/spp202310126851.Suche in Google Scholar

Taqaddausi, Mohammad Taqi, Mohammad Fazel Akbary, and Hussain Behzad Shir. 2023. “Attitudes of University Students in Afghanistan toward Cultural Factors of Gender Inequality.” Journal of Contemporary Philosophical and Anthropological Studies 1 (2). https://doi.org/10.59652/jcpas.v1i2.93.Suche in Google Scholar

The Government of the Islamic Republic of Afghanistan. 2018. Child Marriage in Afghanistan: Changing the Narrative, Commissioned by MoLSAMD and Supported by UNICEF Afghanistan.Suche in Google Scholar

Tran, Thach Duc, Hau Nguyen, and Jane Fisher. 2016. “Attitudes towards Intimate Partner Violence against Women Among Women and Men in 39 Low- and Middle-Income Countries.” PLoS One 11 (11): e0167438. https://doi.org/10.1371/journal.pone.0167438.Suche in Google Scholar

UN Women. 2022. Gender Alert No. 2: Women’s Rights in Afghanistan One Year after the Taliban Take-Over. United Nations Entity for Gender Equality and the Empowerment of Women (UN Women). https://www.unwomen.org/en/digital-library/publications/2022/08/gender-alert-no-2-womens-rights-in-afghanistan-one-year-after-the-taliban-take-over.Suche in Google Scholar

UNAMA. 2022. International Day for the Elimination of Violence against Women. United Nations. https://www.un.org/en/observances/ending-violence-against-women-day?gclid=CjwKCAiAqaWdBhAvEiwAGAQlth-VwQK_Mvdd7xRUHfhKl8zaqPzdoWsiz5btwiNuswNvUgC4_Y7b2xoCURcQAvD_BwE.Suche in Google Scholar

UNICEF. 2005. Early Marriage a Harmful Traditional Practice a Statistical Exploration 2005. Unicef. https://books.google.com/books?hl=en&lr=&id=FOn-h6oSVQwC&oi=fnd&pg=PA1&dq=early+marriage+and+domestic+violence&ots=SxHD0ZnmTk&sig=QqEfBrX9zZzOf507uP1cnjU9haU.Suche in Google Scholar

UNICEF. 2014. Ending Child Marriage: Progress and Prospects. New York: UNICEF. https://data.unicef.org/resources/ending-child-marriage-progress-and-prospects/ (accessed July 22, 2014).Suche in Google Scholar

United Nations. 1993. Declaration on the Elimination of Violence against Women. New York: UN.Suche in Google Scholar

Van Mierlo, Bibiane. 2012. “Community Systems Strengthening in Afghanistan: A Way to Reduce Domestic Violence and to Reinforce Women’s Agency.” Intervention: International Journal of Mental Health, Psychosocial Work & Counselling in Areas of Armed Conflict 10 (2): 134–45. https://doi.org/10.1097/wtf.0b013e3283563fbc.Suche in Google Scholar

Verma, Shankey, and Vipin Vijay Nair. 2022. “The Association between Early Marriage and Intimate Partner Violence in Egypt.” Journal of Loss & Trauma 27 (5): 461–73. https://doi.org/10.1080/15325024.2021.2006970.Suche in Google Scholar

WHO. 2013. “Child Marriages-39 000 Every Day: More Than 140 Million Girls Will Marry between 2011 and 2020.” In WHO. Child marriages-39 000 Every Day: More than 140 Million Girls Will Marry between 2011 and 2020.Suche in Google Scholar

WHO. 2021. Violence Against Women Prevalence Estimates, 2018 – Global Fact Sheet. Geneva: World Health Organization. https://www.who.int/publications/i/item/9789240022256.Suche in Google Scholar

WHO. 2024. Violence Against Women. WHO. https://www.who.int/news-room/fact-sheets/detail/violence-against-women.Suche in Google Scholar

WHO and HRP. 2016. “Addressing Violence against Women in Afghanistan: The Health System Response.” https://efaidnbmnnnibpcajpcglclefindmkaj/https://iris.who.int/bitstream/handle/10665/201704/WHO_RHR_15.26_eng.pdf.Suche in Google Scholar

Received: 2024-08-24
Accepted: 2024-11-25
Published Online: 2024-12-19

© 2024 the author(s), published by De Gruyter on behalf of the Zhejiang Normal University, China

This work is licensed under the Creative Commons Attribution 4.0 International License.

Heruntergeladen am 5.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/gsgs-2024-0006/html
Button zum nach oben scrollen