Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Critique
Editorial
Errata
Erratum
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Research Correspondence
Retraction
Review Article
Short Paper
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
Viewpoint
White Paper
Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
Search in posts
Search in pages
Filter by Categories
Author’ response
Author’s reply
Authors' response
Authors#x2019; response
Book Received
Book Review
Book Reviews
Centenary Review Article
Clinical Image
Clinical Images
Commentary
Communicable Diseases - Original Articles
Correspondence
Correspondence, Letter to Editor
Correspondences
Correspondences & Authors’ Responses
Corrigendum
Critique
Editorial
Errata
Erratum
Health Technology Innovation
IAA CONSENSUS DOCUMENT
Innovations
Letter to Editor
Malnutrition & Other Health Issues - Original Articles
Media & News
Notice of Retraction
Obituary
Original Article
Original Articles
Perspective
Policy
Policy Document
Policy Guidelines
Policy, Review Article
Policy: Correspondence
Policy: Editorial
Policy: Mapping Review
Policy: Original Article
Policy: Perspective
Policy: Process Paper
Policy: Scoping Review
Policy: Special Report
Policy: Systematic Review
Policy: Viewpoint
Practice
Practice: Authors’ response
Practice: Book Review
Practice: Clinical Image
Practice: Commentary
Practice: Correspondence
Practice: Letter to Editor
Practice: Obituary
Practice: Original Article
Practice: Pages From History of Medicine
Practice: Perspective
Practice: Review Article
Practice: Short Note
Practice: Short Paper
Practice: Special Report
Practice: Student IJMR
Practice: Systematic Review
Pratice, Original Article
Pratice, Review Article
Pratice, Short Paper
Programme
Programme, Correspondence, Letter to Editor
Programme: Commentary
Programme: Correspondence
Programme: Editorial
Programme: Original Article
Programme: Originial Article
Programme: Perspective
Programme: Rapid Review
Programme: Review Article
Programme: Short Paper
Programme: Special Report
Programme: Status Paper
Programme: Systematic Review
Programme: Viewpoint
Protocol
Research Correspondence
Retraction
Review Article
Short Paper
Special Opinion Paper
Special Report
Special Section Nutrition & Food Security
Status Paper
Status Report
Strategy
Student IJMR
Systematic Article
Systematic Review
Systematic Review & Meta-Analysis
Viewpoint
White Paper
View/Download PDF

Translate this page into:

Original Article
141 (
6
); 783-788
doi:
10.4103/0971-5916.160701

Socio-demographic factors associated with domestic violence in urban slums, Mumbai, Maharashtra, India

Department of Biostatistics, National Institute for Research in Reproductive Health (ICMR) Mumbai, India

Reprint requests: Dr Balaiah Donta, Department of Biostatistics, National Institute for Research in Reproductive Health (ICMR) J.M. Street, Parel Mumbai 400 012, Maharashtra, India e-mail: bdonta2007@yahoo.co.in

Licence

This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Disclaimer:
This article was originally published by Medknow Publications & Media Pvt Ltd and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Background & objectives:

Domestic violence is identified as a public heath problem. It is associated with adverse maternal health. This study examined the prevalence and determinants of domestic violence among women in urban slums of Mumbai, India.

Methods:

A community based cross-sectional household survey was carried out among eligible women for the study during September 2012 to January 2013. A total of 1137 currently married women aged 18-39 yr with unmet need for family planning and having at least one child were selected using cluster systematic random sampling from two urban slums. Information on socio-demographic, reproductive and domestic violence was collected through face-to-face interview using a pretested structured questionnaire after obtaining informed written consent. Bivariate and multivariate analyses were carried out to find the socio-demographic factors associated with ever experienced domestic violence among women.

Results:

The prevalence of women ever experiencing domestic violence in the community was 21.2 per cent. Women whose husband consumed alcohol [RR: 2.17, (95% CI: 1.58-2.98)] were significantly at an increased risk of ever experiencing domestic violence than their counterparts. Risk of domestic violence was twice [RR: 2.00, (95% CI: 1.35-2.96)] for women who justified wife beating than women who did not justify wife beating.

Interpretation & conclusions:

The findings showed that domestic violence was prevalent in urban slums. Factors like early marriage, working status, justified wife beating and husbands use of alcohol were significantly associated with domestic violence.

Keywords

Domestic violence
husband's alcohol consumption
unmet need of family planning
urban slums

Violence against women by their husband is a pervasive public health and human rights problem1. In India, 34 per cent of women of reproductive age group have ever experienced physical domestic violence2. Women in slum areas (22.9%) in Pune were more likely to have experienced domestic violence than women in non-slum area (14%)3. Globally, the negative impact of violence on health of women has been recognized. Domestic violence increases the incidence of unintended pregnancies4567 and abortions4, and reduces the contraceptive use89. Domestic violence during pregnancy increases the risk of infant and child mortality10111213. Women experiencing domestic violence during pregnancy are less likely to get antenatal care1415. Sexual violence associated with vaginal, anal or urethral trauma leads to risk of infection and sexual health problems1617. Not only physical but mental health of the women is also affected due to domestic violence1819.

Various studies have identified factors associated with the likelihood of domestic violence among women. Underlying factors of domestic violence are the failure to perform duties and responsibilities20, economic stress, hierarchical gender relations21, lower household income, illiteracy, belonging to lower caste22, not having male child23, age at marriage, number of living children, women employment23 and dowry212324. Studies also showed a link between husband's alcohol consumption and domestic violence21222324. A few studies have also explored the relationship between domestic violence and contraceptive use in India2526. However, the social determinants of domestic violence in urban slum community in India remain limited. Hence, the objective of this study was to know the prevalence of domestic violence and to understand the socio-demographic factors associated with it in urban slums of Mumbai, Maharashtra, India.

Material & Methods

This study was a part of the main study which aimed for intervention to increase the contraceptive use among women with unmet need for contraception during 2012-2015. The eligibility criteria for the main study included currently married women aged 18-39 yr, staying with their husbands; having at least one child and having unmet need for contraceptives. A community based household survey was conducted in two similar slum communities namely Kajupada and Tunga villages under the jurisdiction of the health post of Municipal Corporation of Greater Mumbai (MCGM), Mumbai. The population of reproductive age group women was approximately 9000 to 11806 in Kajupada and Tunga villages, respectively. The prevalence of women experiencing domestic violence was reported as 27 per cent1. In order to estimate this prevalence with the precision of 5 per cent (marginal error) with 95% confidence interval (CI), and adjusting for 20 per cent non- response rate and 1.5 as design effect, the sample size needed was 568 eligible women from each community. Each community was divided into four equal clusters on the basis of equal number of households. From each cluster 142 eligible women were identified using systematic random sampling procedure. First household was selected randomly and then every 6th household was visited to screen for the eligible women through a rapid assessment survey questionnaire which included information on age, number of children, future pregnancy intention, and current use of contraceptive methods. Following this detailed information on socio-demographic- economic characteristics, reproductive characteristics and violence experienced by women from their husbands was collected by face-to-face interview using pretested structured questionnaire after obtaining informed consent during September 2012 to June 2013. The questions measuring domestic violence are based on the National Family Health Survey-32, which measured violence by husband, using a greatly shortened and modified Conflict Tactics Scale (CTS)27.

Proposal and measures used in the study were reviewed and approved by the institutional review board of the National Institute for Research in Reproductive Health (NIRRH), Mumbai, Maharashtra, India. The objectives of the study were clearly explained to the participants. Written informed consent was obtained from participants before collection of data.

Variables under study

Dependent variable - Women ever experiencing violence from their husband was considered as dependent variable. To measure the violence from husband, women were asked questions related to physical, emotional and sexual violence as listed in Table I. A “yes” response to one or more of the above item(s) was considered as ever experience of violence by husband.

Table I Percentage of currently married women having unmet need of contraceptives ever experienced various form of violence by their husband in urban slums, Mumbai

Independent variables - Information regarding socio-demographic, economic and reproductive characteristics was considered as independent variables. Variables under study were current age of women (<25, >25 yr), religion (Hindu, others), caste [Scheduled Caste (SC)/Scheduled Tribe (ST)], Other Backward Classes (OBC), general, age at marriage (<18, ≥18 yr), duration of marriage (<5, >5 yr), women's education (illiterate, literate), number of surviving children (1, 2 or more), currently working (yes, no), and husband's use of alcohol (yes, no). Further, if women responded positive to any of these items which measured justification of wife beating, viz., goes without telling husband, neglects the house or children, argues with husband, refuse to have sex with him, does not cook properly, husband suspects her being unfaithful, was considered to be positive towards ‘justified wife beating’.

Statistical analysis: The association between socio demographic characteristics of women and domestic violence were explored using chi-square test. Generalized Liner Model (GLM) with log link function was used to calculate the adjusted relative risk instead of multiple logistic regression28. The analysis was carried out using STATA software (STATA 8.2, Stata Corp, USA). The adjusted risk ratios (RR) with 95% CI for significant variables were calculated.

Results

Prevalence of domestic violence among women having unmet need for family planning: Percentage of currently married women who have ever experienced various forms of violence by their husbands is presented in Table I. It was observed that 21.2 per cent [95% CI: 18.8-23.6] of women ever experienced any type of violence viz. physical (16.8%), emotional (12.4%), or sexual violence (4.8%). Most common act of violence observed was being slapped (16.7%) followed by humiliated in front of others (11.3%). A small percentage of women (1.9%) expressed that their husbands forced them to perform any sexual acts though they did not want to do.

Socio-demographic factors associated with domestic violence: The socio-demographic, economic and reproductive factors associated with domestic violence are presented in Table II. Women who got married before attaining 18 yr of age (26.8%) were significantly more likely to report prevalence of violence than women who got married after attaining 18 yr of age (18.2%). The prevalence of violence was higher among illiterate women though it was not statistically significant. For women whose marital duration was less than or equal to five years were less likely to report domestic violence than their counterparts. Significantly higher prevalence of domestic violence was observed for women belonging to SC/ST, working, having more than one child and who justified wife beating. About 21 percentage point difference in prevalence of domestic violence was observed among women whose husbands consumed alcohol as against who did not.

Table II Percentage of women having unmet need of contraceptives ever experienced violence by their husbands in urban slums, Mumbai

Table III summarizes the findings of multiple logistic regression analysis. After controlling for all independent variables (listed in Table II), age at marriage, number of children, working status, justified wife beating and husband consuming alcohol were found to be independent significant factors associated with domestic violence. Women who married early (<18 yr) were 37 per cent [RR=1.37 (95% CI: 1.01-1.89)] more likely to experience domestic violence than women who married lately (≥18 yr). Working women were 1.61 (95% CI: 1.07-2.41) times at risk to have experienced violence than non-working women. Higher risk of domestic violence was reported for women whose husbands consumed alcohol (RR: 2.17, 95% CI: 1.58-2.98) than women whose husbands did not consume alcohol. Women who justified wife beating were 2.00 (95% CI: 1.35-2.96) times more at risk of violence than women who did not justify wife beating.

Table III Adjusted risk ratio of ever experienced violence in urban slums, Mumbai

Discussion

In the present study, a community based representative sample of 1137 currently married women aged 18-39 yr having at least one child and not using any family planning methods revealed that 21.2 per cent women ever experienced any form of violence from their husbands. However, a community-based cross-sectional study among 274 married women in the age group of 18-45 yr residing in an urban slum area of Malwani, Mumbai, showed 36.9 per cent prevalence of verbal or physical violence in the past one year29. A cross-sectional study conducted in slum area among married women of age 18-49 yr showed prevalence of physical violence in the past three months as 26.6 per cent in Goa24, ever experienced any violence (physical, sexual and emotional) as 45.2 per cent in Pune3 and ever experienced physical or verbal violence as 54 per cent in Kolkata23. Further, a study conducted in slum areas of Bengaluru among 744 married women aged 16-25 yr reported 56 per cent physical violence in the past six months30. It was observed that the prevalence of violence varied from place to place in India. The explanation could be the difference in the distribution factors in the populations studied such as age, issues in the definition and measurement of partner violence, and willingness to report their experience of violence.

Early marriage was associated with domestic violence from husbands and was consistent with the finding from other studies313233. The present study also showed that women who got married before attaining 18 yr of age were more likely to be victimized. The domestic violence also decreased a woman's ability to negotiate the timing of sex or use of contraceptive methods with their partners9.

Husband's consumption of alcohol was found to be a significant factor associated with violence. Evidence from other studies supported husbands/partners’ alcohol consumption as a significant factor of domestic violence22232433 and might be because of reduced self-control of individuals due to excessive alcohol consumption34.

Working women were more likely to experience violence than women who were not working as reported earlier35. Women who justified wife beating were more likely to experience violence than their counterparts. This may be because of intergenerational transmission of perception related to violence36, i.e. when children grow up seeing their father abusing their mother; they start to accept or justify such behaviour as norm and replicate it in their marital life. Women who experience violence (in childhood, adolescence, or adulthood) may learn and/or rationalize that it is normal, or women who think that violence is acceptable may enter into or remain in relationships with an abusive partner.

Our study had several limitations. First, the data collected on ever experience of domestic violence were self- reported by respondents and, therefore, subject to recall bias, cultural values and willingness to report domestic violence. Secondly, it was a cross-sectional study so it was not possible to establish causal relationship between the socio-demographic factors studied and domestic violence. Further, the findings may not represent the whole slum communities of all women of reproductive age group.

In conclusion, the study demonstrated that domestic violence was prevalent in the urban slum community. Factors like early marriage, justified wife beating and husbands drinking alcohol habit were significantly associated with the domestic violence. There is a need to bring change in behaviour regarding the same in the community.

Acknowledgment

Authors acknowledge the project staff Ms Uttara Naik, Ms Leena Walvankar, Ms Nakusha Bhalerao, Ms Hamida Pathan and Ms Nandini Mejari for data collection and entry. This study was based on the analysis of baseline data of larger study entitled “Intervention to enhance acceptance of contraceptive use among couples by reducing domestic violence from husband” funded by the Indian Council of Medical Research (ICMR), New Delhi, India.

References

  1. , , . Violence - a global public health problem. In: , , , , , , eds. World report on violence and health. Geneva: World Health Organization; . p. :3-21.
    [Google Scholar]
  2. International Institute for Population Sciences (IIPS) and Macro International. National Family Health Survey (NFHS-3), 2005-06, India. Vol I. Mumbai: IIPS; .
    [Google Scholar]
  3. , , . Physical wife abuse in an urban slum of Pune, Maharashtra. Indian J Public Health. 2008;52:215-7.
    [Google Scholar]
  4. , , , , , , . Intimate partner violence, abortion, and unintended pregnancy: results from the WHO Multi-country Study on Women's Health and Domestic Violence. Int J Gynaecol Obstet. 2013;120:3-9.
    [Google Scholar]
  5. , , , , . Association between domestic violence and unintended pregnancies in India: Finding from NFHS-2 data. Natl Med J India. 2010;23:137-9.
    [Google Scholar]
  6. , , , , , , . Physical spousal violence against women in India: Some risk factors. J Biosoc Sci. 2007;39:657-70.
    [Google Scholar]
  7. , . Health consequences of intimate partner violence. Lancet. 2002;359:1331-6.
    [Google Scholar]
  8. , . Does physical intimate partner violence affect sexual health. A systematic review? Trauma Violence Abuse. 2007;8:149-77.
    [Google Scholar]
  9. , , , . A global overview of gender-based violence. Int J Gynecol Obstet. 2002;78(Suppl 1):S5-14.
    [Google Scholar]
  10. , , , . Domestic violence as a risk factor for infant and child mortality: A community-based case–control study from southern India. Natl Med J India. 2013;26:142-6.
    [Google Scholar]
  11. , . The cause and consequence of domestic violence on pregnant women in India. J Obstet Gynaecol. 2013;33:250-3.
    [Google Scholar]
  12. , , , . Domestic violence during pregnancy in India. J interpers violence. 2011;26:2973-90.
    [Google Scholar]
  13. , , , , , , . Spousal physical violence against women during pregnancy. BJOG. 2004;111:682-7.
    [Google Scholar]
  14. , , . Abuse against women in pregnancy: a population based study from Eastern India. WHO South East Asia J Public Health. 2012;1:133-43.
    [Google Scholar]
  15. , , , . Physical violence by partner during pregnancy and use of prenatal care in rural India. J Health Popul Nutr. 2011;29:245-54.
    [Google Scholar]
  16. , , , , , , . Reproductive health concerns of women contending with spousal violence. Intl J Gynaecol Obstet. 2013;122:268-9.
    [Google Scholar]
  17. , , , . Domestic violence and symptoms of gynaecological morbidity among women in North India. Fam Plann Perspect. 2006;32:201-8.
    [Google Scholar]
  18. , , , , . Domestic violence and its mental health correlates in Indian women. Br J Psychiatry. 2005;187:62-7.
    [Google Scholar]
  19. , , . Domestic violence against women and their mental health status in a colony in Delhi. Indian J Community Med. 2010;35:403-5.
    [Google Scholar]
  20. , , , , , , . Abuse from In-laws during pregnancy and post-partum: qualitative and quantitative findings from low-income mothers of infants in mumbai, India. Matern Child Health J. 2010;15:700-12.
    [Google Scholar]
  21. , . Violence against women in India: evidences from rural Gujarat, summary report. In: , , , , eds. Domestic violence in India: a summary report of three studies. Washington DC: International Centre for Research on Women; . p. :9-17.
    [Google Scholar]
  22. , , , . The risk factor of domestic violence in India. Indian J Community Med. 2012;37:153-7.
    [Google Scholar]
  23. , , , , , , . Domestic violence among ever married women of reproductive age group in a slum area of Kolkata. Indian J Public Health. 2012;56:31-6.
    [Google Scholar]
  24. , , , , , . A cross-sectional study of physical spousal violence against women in Goa. Healthline. 2010;1:34-40.
    [Google Scholar]
  25. , , , , . Domestic violence, contraceptive use, and unwanted pregnancy in rural India. Stud Fam Plann. 2008;39:177-86.
    [Google Scholar]
  26. , , , . Domestic violence and contraceptive adoption in Uttar Pradesh, India. Stud Fam Plann. 2006;37:75-86.
    [Google Scholar]
  27. , . Measuring intra-family conflict and violence: The conflict tactic (CT) scales. J Marriage Fam. 1979;41:75-88.
    [Google Scholar]
  28. , , , , . Estimating the relative risk in cohort studies and clinical trials of common outcomes. Am J Epidemiol. 2003;157:940-3.
    [Google Scholar]
  29. , , . A study of spousal domestic violence in an urban slum of Mumbai. Int J Prev Med. 2013;4:27-32.
    [Google Scholar]
  30. , , , , , . Challenging assumptions about women's empowerment: social and economic resources and domestic violence among young married women in urban South India. Int J Epidemiol. 2009;38:577-85.
    [Google Scholar]
  31. , . Early marriage, marital relations and intimate partner violence in Ethiopia. Int Perspect Sex Reprod Health. 2013;39:6-13.
    [Google Scholar]
  32. , , , , , . Consent and coercion: examining unwanted sex among married young women in India. Int Fam Plan Perspect. 2007;33:124-32.
    [Google Scholar]
  33. , , , . Does alcohol make a difference. Within-participants comparison of incidents of partner violence? J Interpers Violence. 2003;18:735-43.
    [Google Scholar]
  34. , , , . Alcohol and public health. Lancet. 2005;365:519-30.
    [Google Scholar]
  35. , , , , , , . Do changes in spousal employment status lead to domestic violence? Insights from a prospective study in Bangalore, India. Soc Sci Med. 2010;70:136-43.
    [Google Scholar]
  36. , , , , . Individual and contextual determinants of domestic violence in north India. Am J Public Health. 2006;96:132-8.
    [Google Scholar]
Show Sections
Scroll to Top