Background: Intimate Partner Violence is a public health problem of global magnitude that majorly affects women and is often under-reported. Objectives: This study was carried out to determine the prevalence of Intimate Partner Violence, its pattern, and its associated factors with a view to reducing the burden. Methods: The study was a descriptive cross-sectional study of 347 consenting adult females. Data was collected using the adaptation of the World Health Organization’s Multi-Country Study on Women’s Health and Domestic Violence against Women questionnaire–a cross-culturally validated instrument. Data were analysed using the SPSS version 22 and a p-value < 5% was considered significant. Results: The mean age of the respondents was 41.77 ± 15.64 years. The overall prevalence of IPV was 71.2%. The types of violence in descending order revealed controlling behaviour (49.6%), psychological (47.0%), physical (32.9%), and sexual (19.6%). IPV was significantly associated with marital status (p = 0.023), partners’ being drunk (p = 0.025), money problems (p = 0.002), absence of food at home (p = 0.015), jealousy (p=0.012), sex refusal (p =< 0.001), disobedience to partners (p = 0.003), other situations like children matters (p =< 0.001) and partners’ belief in wife-beating (p = 0.002). Logistic regression revealed partners’ belief in wife beating (OR = 3.734, CI = 1.610 to 8.660, p = 0.002) to be the sole predictor of Intimate Partner Violence. Conclusion: Intimate Partner Violence was prevalent and solely predicted by Partners belief in wife-beating. This, therefore, calls for partners’ education against such beliefs.
| Published in | Journal of Family Medicine and Health Care (Volume 9, Issue 1) |
| DOI | 10.11648/j.jfmhc.20230901.12 |
| Page(s) | 7-14 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Intimate Partner Violence, Nigeria, Predictors, Prevalence, Women
| [1] | Claudia GM, Alessandra G, Wendy K. Understanding and addressing violence against women: intimate partner violence. World Health Organization (WHO) and Pan-American Health Organization (PAHO) Geneva 2012. Available from: http://www.who.int/reproductivehealth/publications/violence/en/index.html (Accessed 6th June 2020). |
| [2] | Breiding MJ, Basile KC, Smith SG, et al. Intimate partner violence surveillance: uniform definitions and recommended data elements, version 2.0. Atlanta (GA): National Centre for Injury Prevention and Control, Centres for Disease Control and Prevention; 2015. Available from: https://www.cdc.gov/violenceprevention/pdf/intimatepartnerviolence.pdf (Accessed 6th June 2020). |
| [3] | Fogarty CT, Ambuel B, Harrison SL. Intimate partner violence – American family physician. Am Fam Physician. 2011; 83: 1165-1172. |
| [4] | United Nations. Sustainable Development Goals: 17 Goals to transform our world. Available from: http://www.un.org/sustainabledevelopment/gender-equality/. (Accessed 15th May 2022). |
| [5] | Council of Europe. Preventing and Combating Violence against Women. Available from: https://www.coe.int/en/web/genderequality/violenceagainstwomen#{%2216800160%22:[3]}. (Accessed 15th May 2022). |
| [6] | Peace women. Combating violence against women. Available from: https://www.peacewomen.org/content/nigeria-combatting-violence-against-women. (Accessed 15 May 2022). |
| [7] | Africa renewal. Available from: https://www.un.org/africarenewal/news/nigerian-women-say%E2%80%98no%E2%80%99-gender-based-violence. (Accessed 15th May 2022). |
| [8] | Garcia MC. Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence. World Health Organization; 2013. Available from: http://apps.who.int/iris/bitstream/10665/85239/1/9789241564625_eng.pdf. (Accessed 25th August 2020). |
| [9] | Łukasik P, Karakuła-Juchnowicz H, Morylowska-Topolska J, et al. Long-term somatic consequences of intimate partner violence in primary care female patients. Polski merkuriusz lekarski: organ Polskiego Towarzystwa Lekarskiego. 2015; 39: 372-6. |
| [10] | Khalifeh H, Hargreaves J, Howard LM, et al. Intimate partner violence and socio-economic deprivation in England: Findings from a national cross-sectional survey. American Journal of Public Health. 2013; 103: 462-2. |
| [11] | Usta J, Taleb R. Addressing domestic violence in primary care: what the physician needs to know. Libyan J Med. 2014; 9: 23527. |
| [12] | Ibrahim ZM, Sayed-Ahmed WA, El-Hamid SA, Hagras AM. Intimate partner violence among Egyptian pregnant women: incidence, risk factors, and adverse maternal and fetal outcomes. Clin Exp Obstet Gynecol. 2015; 42: 212-9. |
| [13] | Fawole OI, Abass LW, Fawole AO. Prevalence of violence against pregnant women in Ibadan, Nigeria. Afr J Med Med Sci. 2010; 39: 293-303. |
| [14] | Mapayi BM, Makanjuola ROA, Mosaku SK, et al. Impact of intimate partner violence on anxiety and depression amongst women in Ile-Ife, Nigeria. Archives of Women’s Mental Health. 2014; 16: 11-8. |
| [15] | Ibekwe OC, Kareem AJ, Akpoti O, Ogunromo AY. COVID-19 preventive practice and experience of violence against women and girls in Nigeria. Scirea J health. 2021; 5: 108-122. http://www.scirea.org/journal/PMH. |
| [16] | Ajah LO, Igoke CA, Nkwo PO, et al. Comparison of domestic violence against women in urban versus rural areas of South-East Nigeria. Int J Women Health. 2014; 6: 865–2. |
| [17] | Itimi K, Dienye PO, Gbeneol PK. Intimate partner violence and associated coping strategies among women in a primary care clinic in Port Harcourt, Nigeria. J Family Med Prim Care. 2014; 3: 193-8. |
| [18] | Gyuse AN, Ushie AP, Etukidem A. Prevalence of domestic violence among antenatal women attending a Nigerian hospital. Niger J Med. 2009; 18: 375-9. |
| [19] | Ondo State Demographics. Available from: https://www.ondostate.gov.ng/new/overview.php. (Accessed 24th August 2020). |
| [20] | National Population Commission. Nigeria Demographic and Health Survey 2013. Abuja, Nigeria, and Rockville, Maryland, USA: NPC and ICF International. 2014. Available from: https://dhsprogram.com/pubs/pdf/FR293/FR293.pdf. (Accessed 4th August 2021). |
| [21] | Garcia-Moreno C. WHO multi-country study on women’s health and domestic violence against women: initial results on prevalence, health outcomes and women’s responses. Geneva: World Health Organization, 2005. Available from: http://www.who.int/reproductivehealth/publications/violence/24159358X/en/ (Accessed 5th August 2020). |
| [22] | Aizpurua E, Copp J, Ricarte JJ, Vázquez D. Controlling behaviours and intimate partner violence among women in Spain: an examination of individual, partner, and relationship risk factors for physical and psychological abuse. J Interpers Violence. 2017; 886260517723744. |
| [23] | Selic P, Pesjak K, Kersnik J. The prevalence of exposure to domestic violence and the factors associated with co-occurrence of psychological and physical violence exposure: a sample from primary care patients. BMC public health. 2011; 11: 621. |
| [24] | Delamou A, Samandari G, Camara BS, et al. Prevalence and correlates of intimate partner violence among family planning clients in Conakry, Guinea. BMC Res Notes. 2015; 8: 814-22. |
| [25] | Tanimu TS, Yohanna S, Omeiza SY. The pattern and correlates of intimate partner violence among women in Kano, Nigeria. Afr J Prim Health Care Fam Med. 2016; 8: 1-6. |
| [26] | Capaldi DM, Knoble NB, Shortt JW, Kim HK. A Systematic review of risk factors for intimate partner violence. Partner Abuse. 2012; 3: 231-80. |
| [27] | Zungu LI, Salawu AO, Ogunbanjo GA. Reported intimate partner violence amongst women attending a public hospital in Botswana. Afr J Prim Health Care Fam Med. 2010; 2: 185-94. |
| [28] | Zembe YZ, Townsend L, Thorson A, et al. Intimate partner violence, relationship power inequity and the role of sexual and social risk factors in the production of violence among young women who have multiple sexual partners in a peri-urban setting in South Africa. PLoS One. 2015; 10: e0139430. |
| [29] | Kundapur R, Shetty SM, Kempaller VJ, et al. Violence against educated women by intimate partners in urban Karnataka, India. Indian j Community Med. 2017; 42: 147-150. |
| [30] | Dhungel S, Dhungel P, Dhital SR, Stock C. Is economic dependence on the husband a risk factor for intimate partner violence against female factory workers in Nepal? BMC women’s health. 2017; 17: 82. |
APA Style
Akintunde Opeoluwa Akinyugha, Oyewunmi Joseph Olajide, Hannah Iyabo Okunrinboye, Adesola Olawumi Kareem, Olawale Joshua Oladimeji, et al. (2023). Intimate Partner Violence and Its Associated Factors Among Women in Owo, Ondo-State, Southwest, Nigeria. Journal of Family Medicine and Health Care, 9(1), 7-14. https://doi.org/10.11648/j.jfmhc.20230901.12
ACS Style
Akintunde Opeoluwa Akinyugha; Oyewunmi Joseph Olajide; Hannah Iyabo Okunrinboye; Adesola Olawumi Kareem; Olawale Joshua Oladimeji, et al. Intimate Partner Violence and Its Associated Factors Among Women in Owo, Ondo-State, Southwest, Nigeria. J. Fam. Med. Health Care 2023, 9(1), 7-14. doi: 10.11648/j.jfmhc.20230901.12
AMA Style
Akintunde Opeoluwa Akinyugha, Oyewunmi Joseph Olajide, Hannah Iyabo Okunrinboye, Adesola Olawumi Kareem, Olawale Joshua Oladimeji, et al. Intimate Partner Violence and Its Associated Factors Among Women in Owo, Ondo-State, Southwest, Nigeria. J Fam Med Health Care. 2023;9(1):7-14. doi: 10.11648/j.jfmhc.20230901.12
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.jfmhc.20230901.12,
author = {Akintunde Opeoluwa Akinyugha and Oyewunmi Joseph Olajide and Hannah Iyabo Okunrinboye and Adesola Olawumi Kareem and Olawale Joshua Oladimeji and Abiodun John Kareem and Tolulope Moses Akinola and Festus Rotimi Babalola and Adewole Sunday Awoyeni and Charles Ojo Atimoh and Olakunle Femi Oladapo and Liasu Adeagbo Ahmed},
title = {Intimate Partner Violence and Its Associated Factors Among Women in Owo, Ondo-State, Southwest, Nigeria},
journal = {Journal of Family Medicine and Health Care},
volume = {9},
number = {1},
pages = {7-14},
doi = {10.11648/j.jfmhc.20230901.12},
url = {https://doi.org/10.11648/j.jfmhc.20230901.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jfmhc.20230901.12},
abstract = {Background: Intimate Partner Violence is a public health problem of global magnitude that majorly affects women and is often under-reported. Objectives: This study was carried out to determine the prevalence of Intimate Partner Violence, its pattern, and its associated factors with a view to reducing the burden. Methods: The study was a descriptive cross-sectional study of 347 consenting adult females. Data was collected using the adaptation of the World Health Organization’s Multi-Country Study on Women’s Health and Domestic Violence against Women questionnaire–a cross-culturally validated instrument. Data were analysed using the SPSS version 22 and a p-value < 5% was considered significant. Results: The mean age of the respondents was 41.77 ± 15.64 years. The overall prevalence of IPV was 71.2%. The types of violence in descending order revealed controlling behaviour (49.6%), psychological (47.0%), physical (32.9%), and sexual (19.6%). IPV was significantly associated with marital status (p = 0.023), partners’ being drunk (p = 0.025), money problems (p = 0.002), absence of food at home (p = 0.015), jealousy (p=0.012), sex refusal (p =< 0.001), disobedience to partners (p = 0.003), other situations like children matters (p =< 0.001) and partners’ belief in wife-beating (p = 0.002). Logistic regression revealed partners’ belief in wife beating (OR = 3.734, CI = 1.610 to 8.660, p = 0.002) to be the sole predictor of Intimate Partner Violence. Conclusion: Intimate Partner Violence was prevalent and solely predicted by Partners belief in wife-beating. This, therefore, calls for partners’ education against such beliefs.},
year = {2023}
}
TY - JOUR T1 - Intimate Partner Violence and Its Associated Factors Among Women in Owo, Ondo-State, Southwest, Nigeria AU - Akintunde Opeoluwa Akinyugha AU - Oyewunmi Joseph Olajide AU - Hannah Iyabo Okunrinboye AU - Adesola Olawumi Kareem AU - Olawale Joshua Oladimeji AU - Abiodun John Kareem AU - Tolulope Moses Akinola AU - Festus Rotimi Babalola AU - Adewole Sunday Awoyeni AU - Charles Ojo Atimoh AU - Olakunle Femi Oladapo AU - Liasu Adeagbo Ahmed Y1 - 2023/02/09 PY - 2023 N1 - https://doi.org/10.11648/j.jfmhc.20230901.12 DO - 10.11648/j.jfmhc.20230901.12 T2 - Journal of Family Medicine and Health Care JF - Journal of Family Medicine and Health Care JO - Journal of Family Medicine and Health Care SP - 7 EP - 14 PB - Science Publishing Group SN - 2469-8342 UR - https://doi.org/10.11648/j.jfmhc.20230901.12 AB - Background: Intimate Partner Violence is a public health problem of global magnitude that majorly affects women and is often under-reported. Objectives: This study was carried out to determine the prevalence of Intimate Partner Violence, its pattern, and its associated factors with a view to reducing the burden. Methods: The study was a descriptive cross-sectional study of 347 consenting adult females. Data was collected using the adaptation of the World Health Organization’s Multi-Country Study on Women’s Health and Domestic Violence against Women questionnaire–a cross-culturally validated instrument. Data were analysed using the SPSS version 22 and a p-value < 5% was considered significant. Results: The mean age of the respondents was 41.77 ± 15.64 years. The overall prevalence of IPV was 71.2%. The types of violence in descending order revealed controlling behaviour (49.6%), psychological (47.0%), physical (32.9%), and sexual (19.6%). IPV was significantly associated with marital status (p = 0.023), partners’ being drunk (p = 0.025), money problems (p = 0.002), absence of food at home (p = 0.015), jealousy (p=0.012), sex refusal (p =< 0.001), disobedience to partners (p = 0.003), other situations like children matters (p =< 0.001) and partners’ belief in wife-beating (p = 0.002). Logistic regression revealed partners’ belief in wife beating (OR = 3.734, CI = 1.610 to 8.660, p = 0.002) to be the sole predictor of Intimate Partner Violence. Conclusion: Intimate Partner Violence was prevalent and solely predicted by Partners belief in wife-beating. This, therefore, calls for partners’ education against such beliefs. VL - 9 IS - 1 ER -
Email: