Prevalence, Risk Factors, and Health Sequelae of Domestic Violence for Females During Reproductive Age: A Community-Based Cross-Sectional Study
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design and Setting
2.2. Participants and Sampling
2.3. Data Collection Tool
2.3.1. Part 1: General and Clinical Characteristics (14 Items)
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- Sociodemographic characteristics (10 items): age, marital status, marital age, education level, place of residence, occupation, husband’s age, husband’s occupation, husband’s education, and monthly income.
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- Clinical characteristics (4 items): number of pregnancies, births, abortions, and living children.
2.3.2. Part 2: Women’s Exposure to Different Forms of Violence
2.3.3. Part 3: Severity, Causes, and Perpetrators of Violence (15 Items)
- -
- Causes of violence (9 items): lower income, habits and traditions, embedded violence, illiteracy, unemployment, drug use, variety of social education status, tolerance of violence, female neglect, and family involvement.
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- Severity indicators (6 items): destruction of property, control of money, burning, attack with a weapon or object, pressure to have sex, and increased frequency of violence.
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- Perpetrators (6 categories): husband, husband’s family, husband, and family together, father, mother, father, and mother together.
2.3.4. Part 4: Risk Factors of Abuse (4 Items)
2.3.5. Part 5: Violence Consequences (11 Items)
2.4. Data Collection Procedure
2.5. Validity and Reliability
2.6. Data Analysis
2.7. Ethical Considerations
3. Results
3.1. Sociodemographic and Clinical Characteristics
3.2. Prevalence and Forms of Violence
3.3. Causes and Severity of Violence
3.4. Perpetrators of Violence
3.5. Risk Factors for Violence
3.6. Consequences of Violence
4. Discussion
Study Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Public Involvement Statement
Guidelines and Standards Statement
Use of Artificial Intelligence
Acknowledgments
Conflicts of Interest
References
- World Health Organization. Violence Against Women. Available online: https://www.who.int/news-room/fact-sheets/detail/violence-against-women (accessed on 25 March 2024).
- Thurston, A.; Stöckl, H.; Ranganathan, M. Natural hazards, disasters, and violence against women and girls: A global mixed-methods systematic review. BMJ Glob. Health 2021, 6, e004377. [Google Scholar] [CrossRef]
- Premkumar, R.; Krishnamoorthy, Y.; Vijayakumar, K.; Rushender, R. Burden, trend, and determinants of various forms of domestic violence among reproductive age-group women in India: Findings from nationally representative surveys. J. Public Health 2024, 46, e1–e14. [Google Scholar]
- Hazen, A.; Soriano, F. Experiences with intimate partner violence among Latina women. Violence Against Women 2007, 13, 562–582. [Google Scholar] [CrossRef] [PubMed]
- Elbasuony, R.; Sayed, H.; El-Nemer, A. Prevalence, Pattern, and Risk Factors of female sexual violence. IOSR J. Nurs. Health Sci. 2016, 5, 79–88. [Google Scholar]
- Egypt Demographic and Health Survey. Spousal Violence in Egypt. 2021. Available online: https://censusinfo.capmas.gov.eg/metadata-en-v4.2/index.php/catalog/665 (accessed on 18 October 2023).
- Hsin Lee, F.; Yang, Y.; Wang, H. Conditions and Patterns of Intimate partner violence among Taiwanese women. Asian Nurs. Res. 2014, 9, 91–95. [Google Scholar] [CrossRef]
- Oram, S.; Fisher, H.L.; Minnis, H.; Seedat, S.; Walby, S.; Hegarty, K.; Rouf, K.; Angénieux, C.; Callard, F.; Chandra, P.S.; et al. The lancet psychiatry commission on intimate partner violence and mental health: Advancing mental health services, research, and policy. Lancet Psychiatry 2022, 9, 487–524. [Google Scholar] [CrossRef]
- Daugherty, J.C.; Pérez-García, M.; Hidalgo-Ruzzante, N.; Bueso-Izquierdo, N. Perceived executive functioning among female survivors of intimate partner violence. J. Aggress. Maltreatment Trauma 2021, 30, 25–42. [Google Scholar] [CrossRef]
- Stöckl, H.; Sorenson, S. Violence against women as a global public health issue. Annu. Rev. Public Health 2024, 45, 277–294. [Google Scholar] [CrossRef]
- Cepeda, I.; Lacalle-Calderon, M.; Torralba, M. Measuring violence against women: A global index. J. Interpers. Violence 2022, 37, NP18614–NP18638. [Google Scholar] [CrossRef]
- White, S.; Sin, J.; Sweeney, A.; Salisbury, T.; Wahlich, C.; Montesinos Guevara, C.; Gillard, S.; Brett, E.; Allwright, L.; Iqbal, N.; et al. Global prevalence and mental health outcomes of intimate partner violence among women: A systematic review and meta-analysis. Trauma Violence Abus. 2024, 25, 494–511. [Google Scholar] [CrossRef]
- Mannell, J.; Lowe, H.; Brown, L.; Mukerji, R.; Devakumar, D.; Gram, L.; Jansen, H.; Minckas, N.; Prost, A.; Shannon, G.; et al. Risk factors for violence against women in high-prevalence settings: A mixed-methods systematic review and meta-synthesis. BMJ Glob. Health 2022, 7, e007704. [Google Scholar] [CrossRef] [PubMed]
- Elbasuony, R. Violence Against Females: Prevalence, Pattern and Risk Factors. Master’s Thesis, Faculty of Nursing, Mansoura University, Mansoura, Egypt, 2017. [Google Scholar]
- Aychiluhm, S.; Mare, K.; Ahmed, K.; Demissie, M.; Tadesse, A. Intimate Partner Violence and its associated factors among pregnant women receiving antenatal care: A Bayesian analysis approach. PLoS ONE 2024, 19, e0304498. [Google Scholar] [CrossRef] [PubMed]
- Akel, M.; Berro, J.; Rahme, C.; Haddad, C.; Obeid, S.; Hallit, S. Violence against women during the COVID-19 pandemic. J. Interpers. Violence 2022, 37, NP12284–NP12309. [Google Scholar] [CrossRef] [PubMed]
- Agero, G.; Bedane, K.; Segni, M.; Kaso, A.; Ayato, A.; Bedada, D.; Mieso, A. Assessment of Violence during COVID-19 among Reproductive Age Women in Arsi Zone, South East Ethiopia. BioMed Res. Int. 2024, 2024, 2044708. [Google Scholar] [CrossRef]
- Al-Zumair, M.; Leegstra, L.; Zaid, H.; Pizarro, R.; Al-Zumair, M.; Bawahda, L.; Jahn, A.; Maxwell, L. Midwives’ experiences working with women and girls surviving violence in Yemen: A qualitative study. Front. Glob. Women’s Health 2025, 6, 1450053. [Google Scholar] [CrossRef]
- Derakhshanpour, F.; Mahboobi, H.; Keshavarzi, S. Prevalence of domestic violence against women. J. Gorgan Univ. Med. Sci. 2014, 16, 126–131. [Google Scholar]
- El-Hosary, E.; Abd El-Salam, A.; Eldeeb, A. Effect of domestic violence on pregnancy outcomes among rural and urban women. IOSR J. Nurs. Health Sci. 2017, 6, 35–42. [Google Scholar] [CrossRef]
- Bhatta, P.; Poudel, K.; Khanal, A.; Shah, R. Magnitude of domestic violence among married women of reproductive age (15–49) in Ratnanagar Municipality-13, Chitwan. J. Manmohan Meml. Inst. Health Sci. 2024, 9, 30–34. [Google Scholar] [CrossRef]
- Bernards, S.; Graham, K. The cross-cultural association between marital status and physical aggression between intimate partners. J. Fam. Violence 2013, 28, 403–418. [Google Scholar] [CrossRef]
- Kathryn, M.; Bell, E. Understanding stay/leave decision in violent relationships: A behavior analytic approach. Behav. Soc. Issues 2006, 14, 21–45. [Google Scholar]
- Aidonojie, P.; Majekodunmi, T.; Ikubanni, O.; Oyebade, A.; Ibrahim, N. The causes of the Rising incidence of domestic violence in Nigeria: Proposing judicial separation as a panacea. J. Huk. 2022, 38, 99–121. [Google Scholar] [CrossRef]
- Jeevasuthan, S.; Hatta, Z. Behavioural problems of children exposed to domestic violence in rural villages: A micro social work inquiry in Piranpattru Village at Chankanai Divisional Secretariat, Jaffna, Sri Lanka. Procedia Soc. Behav. Sci. 2013, 91, 201–207. [Google Scholar] [CrossRef][Green Version]
- Moura, L.B.; Gandolfi, L.; Vasconcelos, A.M.; Pratesi, R. Intimate partner violence against women in an urban area of Brazil: A cross-sectional study. BMC Public Health 2014, 14, e0224204. [Google Scholar]
- Ceballos, J.; Frota, O.; Nunes, H.; Ávalos, P.; Krügel, C.; Ferreira Júnior, M.; Teston, E. Physical violence and verbal abuse against nurses working with risk stratification: Characteristics, related factors, and consequences. Rev. Bras. Enferm. 2020, 73, e20190882. [Google Scholar] [CrossRef]



| General Characteristics | Total Sample | Psychological Violence (n = 269) | Physical Violence (n = 232) | Economic Violence (n = 223) | Sexual Violence (n = 211) | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No. | % | No. | % | No. | % | No. | % | No. | % | ||||
| Female age/years | |||||||||||||
| <20 | 55 | 14.5 | 55 | 100.0 | 46 | 83.6 | 43 | 78.2 | 22 | 40.0 | |||
| 20 – <29 | 121 | 32.0 | 81 | 66.9 | 113 | 93.4 | 105 | 86.8 | 86 | 71.1 | |||
| 29 – <39 | 132 | 34.8 | 89 | 67.4 | 22 | 16.7 | 41 | 31.1 | 60 | 45.5 | |||
| 39 – <49 | 71 | 18.7 | 44 | 62.0 | 51 | 71.8 | 34 | 47.9 | 43 | 60.6 | |||
| X2 (p-Value) | 27.050 (0.0001 **) | 178.104 (0.0001 **) | 93.066 (0.0001 **) | 23.378 (0.0001 **) | |||||||||
| Age at marriage/years | |||||||||||||
| Not applicable (Single) | 73 | 19.3 | 73 | 100.0 | 64 | 87.7 | 61 | 83.6 | 41 | 56.2 | |||
| <20 | 90 | 23.7 | 43 | 47.8 | 54 | 60.0 | 35 | 38.9 | 46 | 51.1 | |||
| 20 – <30 | 190 | 50.1 | 143 | 75.3 | 88 | 46.3 | 105 | 55.3 | 106 | 55.8 | |||
| 30 – <40 | 26 | 6.9 | 10 | 38.5 | 26 | 100.0 | 22 | 84.6 | 18 | 69.2 | |||
| X2 (p-Value) | 68.402 (0.0001 **) | 55.814 (0.0001 **) | 41.350 (0.0001 **) | 2.704 (0.440) | |||||||||
| Women education | |||||||||||||
| Read and write | 48 | 12.7 | 47 | 97.9 | 40 | 83.3 | 48 | 100.0 | 33 | 68.8 | |||
| Primary education | 127 | 33.5 | 62 | 48.8 | 107 | 84.3 | 101 | 79.5 | 99 | 78.0 | |||
| Secondary education | 134 | 35.3 | 94 | 70.1 | 52 | 38.8 | 55 | 41.0 | 61 | 45.5 | |||
| High education | 70 | 18.5 | 66 | 94.3 | 33 | 47.1 | 19 | 27.1 | 18 | 25.7 | |||
| X2 (p-Value) | 65.686 (0.001 **) | 72.458 (0.0001 **) | 102.580 (0.0001 **) | 59.925 (0.0001 **) | |||||||||
| Place of residence | |||||||||||||
| Urban | 235 | 62.0 | 178 | 75.7 | 123 | 52.3 | 133 | 56.6 | 138 | 58.7 | |||
| Rural | 144 | 38.0 | 91 | 63.2 | 109 | 75.7 | 90 | 62.5 | 73 | 50.7 | |||
| X2 (p-Value) | 6.827 (0.009 **) | 20.511 (0.0001 **) | 1.285 (0.257) | 2.332 (0.127) | |||||||||
| Women Marital status | |||||||||||||
| Single | 93 | 24.5 | 92 | 98.9 | 84 | 90.3 | 64 | 68.8 | 41 | 44.1 | |||
| Married | 168 | 44.3 | 97 | 57.7 | 87 | 51.8 | 93 | 55.4 | 111 | 66.1 | |||
| Widow | 27 | 7.1 | 26 | 96.3 | 11 | 40.7 | 14 | 51.9 | 13 | 48.1 | |||
| Divorced | 91 | 24.0 | 54 | 59.3 | 50 | 54.9 | 52 | 57.1 | 46 | 50.5 | |||
| X2 (p-Value) | 63.940 (0.0001 **) | 45.752 (0.0001 **) | 5.317 (0.150) | 14.008 (0.003 **) | |||||||||
| Women occupation | |||||||||||||
| Student | 55 | 14.5 | 55 | 100.0 | 46 | 83.6 | 43 | 78.2 | 22 | 40.0 | |||
| Housewife | 194 | 51.2 | 126 | 64.9 | 177 | 91.2 | 156 | 80.4 | 140 | 72.2 | |||
| Working | 130 | 34.3 | 88 | 67.7 | 9 | 6.9 | 24 | 18.5 | 49 | 37.7 | |||
| X2 (p-Value) | 26.593 (0.0001 **) | 246.687 (0.0001 **) | 133.290 (0.0001 **) | 43.887 (0.0001 **) | |||||||||
| Husband’s age/years | |||||||||||||
| Not applicable | 74 | 19.5 | 74 | 100.0 | 65 | 87.8 | 62 | 83.8 | 41 | 55.4 | |||
| <30 | 23 | 6.1 | 14 | 60.9 | 22 | 95.7 | 19 | 82.6 | 18 | 78.3 | |||
| 30 – <40 | 145 | 38.3 | 99 | 68.3 | 70 | 48.3 | 79 | 54.5 | 69 | 47.6 | |||
| 40 – <50 | 79 | 20.8 | 50 | 63.3 | 35 | 44.3 | 43 | 54.4 | 55 | 69.6 | |||
| 50 – 60 | 58 | 15.3 | 32 | 55.2 | 40 | 69.0 | 20 | 34.5 | 28 | 48.3 | |||
| X2 (p-Value) | 41.211 (0.0001 **) | 54.787 (0.0001 **) | 40.355 (0.0001 **) | 16.113 (0.003 **) | |||||||||
| Husband occupation | |||||||||||||
| Not applicable | 74 | 19.5 | 74 | 100.0 | 65 | 87.8 | 62 | 83.8 | 41 | 55.4 | |||
| Work | 287 | 75.7 | 190 | 66.2 | 149 | 51.9 | 149 | 51.9 | 153 | 53.3 | |||
| Not work | 18 | 4.8 | 5 | 27.8 | 18 | 100.0 | 12 | 66.7 | 17 | 94.4 | |||
| X2 (p-Value) | 49.742 (0.0001 **) | 43.947 (0.0001 **) | 25.147 (0.0001 **) | 11.616 (0.003 **) | |||||||||
| Husband education | |||||||||||||
| Not applicable | 74 | 19.5 | 74 | 100.0 | 65 | 87.8 | 62 | 83.8 | 41 | 55.4 | |||
| Read and write | 28 | 7.4 | 27 | 96.4 | 17 | 60.7 | 8 | 28.6 | 9 | 32.1 | |||
| Primary education | 56 | 14.8 | 32 | 57.1 | 8 | 14.3 | 9 | 16.1 | 7 | 12.5 | |||
| Secondary education | 151 | 39.8 | 103 | 68.2 | 116 | 76.8 | 119 | 78.8 | 105 | 69.5 | |||
| High education | 70 | 18.5 | 33 | 47.1 | 26 | 37.1 | 25 | 35.7 | 49 | 70.0 | |||
| X2 (p-Value) | 64.130 (0.0001 **) | 106.614 (0.0001 **) | 112.215 (0.0001 **) | 66.162 (0.0001 **) | |||||||||
| Income/month L. E | |||||||||||||
| 1000 – <2000 | 13 | 3.4 | 0 | 0.0 | 13 | 100.0 | 11 | 84.6 | 12 | 92.3 | |||
| 2000 – <4000 | 116 | 30.6 | 80 | 69.0 | 61 | 52.6 | 53 | 45.7 | 64 | 55.2 | |||
| 4000 and more | 159 | 42.0 | 118 | 74.2 | 67 | 42.1 | 68 | 42.8 | 67 | 42.1 | |||
| Does not know | 91 | 24.0 | 71 | 78.0 | 91 | 100.0 | 91 | 100.0 | 68 | 74.7 | |||
| X2 (p-Value) | 35.021 (0.0001 **) | 93.901 (0.0001 **) | 92.465 (0.0001 **) | 32.269 (0.0001 **) | |||||||||
| Clinical characteristics | |||||||||||||
| No. of gravida | |||||||||||||
| Not applicable | 78 | 20.6 | 74 | 94.9 | 69 | 88.5 | 66 | 84.6 | 45 | 57.7 | |||
| <5 | 215 | 56.7 | 128 | 59.5 | 147 | 68.4 | 127 | 59.1 | 125 | 58.1 | |||
| Five and more | 86 | 22.7 | 67 | 77.9 | 16 | 18.6 | 30 | 34.9 | 41 | 47.7 | |||
| X2 (p-Value) | 37.288 (0.0001 **) | 94.793 (0.0001 **) | 41.781 (0.0001 **) | 2.888 (0.236) | |||||||||
| No. of birth | |||||||||||||
| Not applicable | 78 | 20.6 | 78 | 100.0 | 65 | 83.3 | 62 | 79.5 | 45 | 57.7 | |||
| <5 | 301 | 79.4 | 191 | 63.5 | 167 | 55.5 | 161 | 53.5 | 166 | 55.1 | |||
| X2 (p-Value) | 40.161 (0.0001 **) | 20.239 (0.0001 **) | 17.289 (0.0001 **) | 0.162 (0.687) | |||||||||
| No. of abortion | |||||||||||||
| Not applicable | 78 | 20.6 | 78 | 100.0 | 69 | 88.5 | 62 | 79.5 | 41 | 52.6 | |||
| <5 | 301 | 79.4 | 191 | 63.5 | 163 | 54.2 | 161 | 53.5 | 170 | 56.5 | |||
| X2 (p-Value) | 40.161 (0.0001 **) | 30.712 (0.0001 **) | 17.289 (0.0001 **) | 0.385 (0.535) | |||||||||
| No. of living children | |||||||||||||
| Not applicable | 77 | 20.3 | 77 | 100.0 | 68 | 88.3 | 63 | 81.8 | 42 | 54.5 | |||
| <5 | 248 | 65.4 | 148 | 59.7 | 110 | 44.4 | 121 | 48.8 | 131 | 52.8 | |||
| Five and more | 54 | 14.2 | 44 | 81.5 | 54 | 100.0 | 39 | 72.2 | 38 | 70.4 | |||
| X2 (p-Value) | 49.749 (0.0001 **) | 87.718 (0.0001 **) | 31.122 (0.0001 **) | 5.583 (0.061) | |||||||||
| Overall Prevalence of Violence | No. | % |
|---|---|---|
| Yes | 351 | 92.6 |
| No | 28 | 7.4 |
| Psychological violence * | 269 | 76.6 |
| Yelling | 184 | 52.4 |
| Belittling or humiliating | 149 | 42.5 |
| Performing things to scare him | 113 | 32.2 |
| Criticism and embarrassment | 120 | 34.2 |
| Threatened to divorce | 83 | 23.6 |
| Acted jealous, suspicious, and got angry if I spoke with another | 88 | 25.1 |
| Physical violence * | 232 | 66.1 |
| Slapping, throwing, beating | 184 | 52.4 |
| Shoving, pulling of hair | 100 | 28.5 |
| Kicking, dragging, or throwing things | 122 | 34.8 |
| Choking or burning | 81 | 23.1 |
| Threatening to use a knife, a weapon | 65 | 18.5 |
| Economic violence * | 223 | 63.5 |
| Against/Preventing them from working | 124 | 35.3 |
| Take the salary | 124 | 35.3 |
| Against/Preventing girls’ education | 64 | 18.2 |
| Participate in home expenses | 120 | 34.2 |
| Prevent owning anything | 137 | 39.0 |
| Sexual violence * | 211 | 60.1 |
| Flirting | 240 | 68.4 |
| Harassment, spiking | 251 | 71.5 |
| Practice sex by force | 62 | 17.7 |
| Rape | 41 | 11.7 |
| Being forced to do something sexual | 78 | 22.2 |
| Female genital mutilation | 68 | 19.4 |
| Causes of Violence | No. | % |
|---|---|---|
| Lower income | 262 | 69.0 |
| Habits and traditions | 254 | 67.0 |
| Violence is embedded | 243 | 64.0 |
| Illiteracy | 186 | 49.0 |
| Unemployment and drug use | 208 | 55.0 |
| The variety of social education status | 171 | 45.0 |
| Tolerance of violence | 182 | 48.0 |
| Female neglect | 155 | 41.0 |
| Family involvement | 193 | 51.0 |
| Severity of violence | ||
| The abuser is destroying the property | 171 | 45.1 |
| The abuser controls the money | 254 | 67.0 |
| Burning | 44 | 11.6 |
| Attack with a weapon or object | 16 | 4.2 |
| Pressure to have sex | 57 | 15.0 |
| Became more frequent | 122 | 32.2 |
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Share and Cite
Abobaker, R.M.; Alshammari, F.H.D.; Mohamed, N.S.; Elbasiony, R.A.; Elsayed, N.M.; Aboelmagd, A.N.; Alanazi, F.K.; Fadlalmola, H.A.; Mohamed, A.H. Prevalence, Risk Factors, and Health Sequelae of Domestic Violence for Females During Reproductive Age: A Community-Based Cross-Sectional Study. Nurs. Rep. 2026, 16, 60. https://doi.org/10.3390/nursrep16020060
Abobaker RM, Alshammari FHD, Mohamed NS, Elbasiony RA, Elsayed NM, Aboelmagd AN, Alanazi FK, Fadlalmola HA, Mohamed AH. Prevalence, Risk Factors, and Health Sequelae of Domestic Violence for Females During Reproductive Age: A Community-Based Cross-Sectional Study. Nursing Reports. 2026; 16(2):60. https://doi.org/10.3390/nursrep16020060
Chicago/Turabian StyleAbobaker, Randa Mohamed, Fares Hameed D. Alshammari, Nabila Salem Mohamed, Rania Ahmed Elbasiony, Naima Mohammed Elsayed, Amna Nagaty Aboelmagd, Faisal Khalaf Alanazi, Hammad Ali Fadlalmola, and Amal Hashem Mohamed. 2026. "Prevalence, Risk Factors, and Health Sequelae of Domestic Violence for Females During Reproductive Age: A Community-Based Cross-Sectional Study" Nursing Reports 16, no. 2: 60. https://doi.org/10.3390/nursrep16020060
APA StyleAbobaker, R. M., Alshammari, F. H. D., Mohamed, N. S., Elbasiony, R. A., Elsayed, N. M., Aboelmagd, A. N., Alanazi, F. K., Fadlalmola, H. A., & Mohamed, A. H. (2026). Prevalence, Risk Factors, and Health Sequelae of Domestic Violence for Females During Reproductive Age: A Community-Based Cross-Sectional Study. Nursing Reports, 16(2), 60. https://doi.org/10.3390/nursrep16020060

