JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Public Health Section DOI : 10.7860/JCDR/2017/27386.10750
Year : 2017 | Month : Oct | Volume : 11 | Issue : 10 Full Version Page : LC01 - LC04

Domestic Violence against Women – An Unsolved Issue: A Community Based Study in an Urban Slum of Kolkata, India

Jayita Pal1, Tanjib Hassan Mullick2, Shamshad Ahmad3, Ashish Kumar Yadav4

1 Tutor, Department of Community Medicine, ESI-PGIMSR, ESIC Medical College, Joka, Kolkata, India.
2 Tutor, Department of Community Medicine, ESI-PGIMSR, ESIC Medical College, Joka, Kolkata, India.
3 Assistant Professor, Department of Community Medicine, ESI-PGIMSR, ESIC Medical College, Joka, Kolkata, India.
4 Assistant Professor, Department of Community Medicine, ESI-PGIMSR, ESIC Medical College, Joka, Kolkata, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Dr. Tanjib Hassan Mullick, Tutor, Department of Community Medicine, ESI-PGIMSR, ESIC Medical College, Village- Ekshara, P.O-Chamrail, District- Howrah, Kolkata-711114, India.
E-mail: thmullick@gmail.com
Abstract

Introduction

Domestic Violence against women is still an unsolved issue in India, though, it is an important public health problem contributing to physical, mental illness and low quality of life.

Aim

The study was undertaken with the aim to estimate the prevalence of domestic violence against ever married women in an urban slum and the associated factors contributing to it.

Materials and Methods

A community-based cross-divtional study had been conducted among 430 ever married women of reproductive age group, selected using a systematic random sampling technique in an urban slum of Kolkata. Interviews were conducted using pre-designed, pre-tested semi structured schedule regarding their socio-demographic characteristics, violence experienced by the subjects in their lifetime, type of violence (physical, emotional and sexual violence) and the person responsible for the same. Data were entered and analysed using SPSS 20.0 version.

Results

The overall prevalence of any form of violence in the study population as a whole was (59.3%). The prevalence of physical, emotional, sexual violence was 61.6%, 84.3%and 58.8%, respectively. The occurrence of the event was reported by only 33.1% of the victims. Multivariate analysis revealed violence was higher among women belonging to families with low per capita income (< Rs 3138 per month), with higher spousal age difference (>6 years), low educational background of husband, not able to bear a male child, unemployment amongst both the spouses, leave the household on any pretext without prior permission from husband and where the wives did not attend household activities properly.

Conclusion

The prevalence of domestic violence in urban slum of Kolkata was high which is an alarming public health problem which needs to be addressed at the earliest through awareness programmes and empowerment of women.

Keywords

Introduction

Domestic violence is an alarming public health problem in all socio-economic and cultural population subgroups and in many societies including a male dominated developing Indian society. Violence against women causes severe deterioration in physical, mental health and adversely affects the quality of life. Women are socialized to accept, tolerate, and even rationalize domestic violence as well as to remain silent about such experiences.

According to National Family Health Survey (NFHS) - III, prevalence of any form of domestic violence on women after marriage in India was 39.7%. The highest prevalence was in the state of Bihar with 60.8%, while it was 41.8% in West Bengal [1]. Of these incidences, 63% were reported from urban families [2]. The battle against domestic violence was addressed globally by resolutions of various international forums including fourth World Conference on Women in 1995 in Beijing [3]. In India, the problem has been highlighted after legislation against domestic violence in 2005, popularly known as the Protection of Women from Domestic violence Act [4]. Research across the world has provided increasing evidence on the problem of violence against women [5,6].

Women in slums are more vulnerable to domestic violence than the general population [7,8]. In backward areas like urban slums these incidents more frequently go unreported due to various socio-demographic factors [2]. Ergo, the focus of the researchers on this aspect should be more on this particular type of population. Current study was conducted with a greater sample size than the previous one [2] in an urban slum of Kolkata with objectives to estimate the prevalence of domestic violence among the ever married women in the reproductive age group (15-49 years) to assess the different types of domestic violence among them and to identify the covariates of the same.

Materials and Methods

A descriptive, cross-sectional, community based study was undertaken in a slum of Kolkata under ward 132, borough 14 of Kolkata Municipal Corporation (KMC) catering a population of around 35,000. Duration of study was 6 months i.e., from July to December, 2015. The study area was an urban slum purposively chosen for the research. All the ever married women of reproductive age group (15-49 years) not having any psychiatric or serious medical illness at present were included in the study. Subjects who did not give informed consent were excluded from the study.

The subjects were interviewed with a pre-designed, pre-tested semi-structured schedule adapted from N.F.H.S Woman’s Questionnaire [9] after taking informed consent. In case of non response from any women, information was taken from the next willing woman.

Institutional ethical clearance was obtained before the study. Assurance about the anonymity and non-disclosure of the details of interview to husband/guardian were ensured. The schedule was first prepared in English and translated into Bengali by a linguistic expert keeping semantic equivalence. To check the translation, it was retranslated back into English by two independent researchers who were unaware of the first English version. Face validity of each item of the questionnaire had been checked from previous researches [1,2] in presence of public health experts. They also decided the content validity of each domain (Cronbach’s alpha 0.85). To check the reliability, it had been pretested to see clarity, absence of any ambiguity, objectivity and simplicity. Necessary corrections were made and the corrected version of the schedule had been pilot tested among 50 participants of the neighbourhood slum that was not included in the study to get the final corrected schedule. The sample size was calculated by taking the confidence interval of 95%, absolute precision of 5% and non-responsiveness 10%. Therefore, the estimated sample size was 428. Each household of the study area was allotted a number and the samples were selected by using systematic random sampling technique. Data were entered in SPSS 20.0 version and analysed through descriptive and inferential statistics.

Results

The current research was done after interviewing 430 ever married women in the reproductive age group (mean age – 30.58±9.97 years). Majority belonged to the age group of 15-24 years (36.7%). Among the study population, 76.7% were Hindu and 23.3% were Muslims. The mean spousal age difference and duration of marriage were 5.91±2.85 years and 13.19±10.19 years respectively. Regarding educational level, 31.9% of the subjects and 27% of the husbands were educated up to below primary level. Unemployment amongst husbands was 29.1%, whereas 34.9% of the subjects were employed. Majority belonged to joint family (79.5%) and lower middle and lower socio-economic class according to Modified B.G. Prasad scale [10] for the year 2016. Alcohol consumption in any form amongst the husbands was 74.9%. Social support was not found among 43.5% of the study population. Property in the form of land, money, ornament alone or in combination was found among 53.7% of the subjects.

In the present study, the overall prevalence of any form of domestic violence was found in 255 (59.3%) of ever married women. The perpetrators were mostly the in laws including the spouse (59.6%). Emotional violence was more common than physical violence. As far as types of violence were concerned, 84.3% had emotional violence during lifetime (throughout married life), whereas 65.9% were subjected to current (within last 12 months) emotional violence. Regarding physical violence 156 (61.2%) of the subjects experienced it during lifetime; whereas 37.2% of them suffered from current physical violence. Regarding sexual violence, 58.8% of the subjects experienced it during lifetime, whereas 33.4% of them suffered from current sexual violence [Table/Fig-1]. Slapping (73.7%), kicking (62.8%), pushing (57.1%) were the most common forms of physical violence, whereas, insulting (80.8%), humiliating (73%) and threatening (60.5%) were the most common forms of emotional violence.

Types of violence suffered by the victims (N =255)

Type of violenceNumberPercentage
Physical (current*) Often Sometimes346113.323.9
Physical (lifetime †)15661.2
Emotional (current*) Often Sometimes4911919.246.7
Emotional (lifetime †)21584.3
Sexual (current*) Often Sometimes18677.126.3
Sexual (lifetime †)15058.8
Violence (any type)25559.3

*(within last 12 months) † (throughout married life).


The occurrence of the event was reported by only 33.1% of the victims either to legal authority or friends, relatives, neighbours. The most common reason for not reporting was fear of social stigma (in 43.7%). Only, 8.45% had reported the event to the police, the remaining majority of the population had only shared it with relatives or friends.

Bivariate analyses revealed multiple factors leading to domestic violence. The event was significantly higher in the age group more than 29 years where the spousal age difference was more than 6 years, poor educational background (up to primary level), unemployment of both the partners, with low socio economic status and among Muslims [Table/Fig-2]. Despite the above covariates some other risk factors came into light by studying the opinions of the subjects regarding the possible causes of their sufferings such as not cooking, not attending household properly, talking to others, alcohol addiction of the husband, not having male child, going out without permission, dowry and property issues, not having any social support, paranoid behaviour of the husband [Table/Fig-3].

Distribution of study subjects according to different socio-demographic factors and their association with occurrence of domestic violence (N=430).

VariablesDomestic ViolenceTest of significanceORCI
PresentNo (%)AbsentNo (%)
Age group* >29 ≤29136(64.7)119(54.1)74(35.3)101(45.9)Chi square=5.069,df=1,p=0.0241.5601.058-2.299
Spousal age difference* >6 ≤6142(87.2)113(42.7)23(12.8)152(57.3)Chi square=79.420,df=1,p<0.0018.3055.020-13.738
Education of women Upto primary level Above primary level198(65.3)57(44.9)105(34.7)70(55.1)Chi square=15.529,df=1,p<0.0012.3161.518-3.532
Education of husband Upto primary level Above primary level213(80.3)42(25.4)52(19.7)123(74.6)Chi square=127.094,df=1,p<0.00111.9967.548-19.064
Socio-economic status Low§ Middle and above203(86.3)52(26.7)32(13.7)143(73.3)Chi square=157.463,df=1,p<0.00117.44510.692-28.465
Type of family Nuclear Joint54(61.3)201(58.8)34(38.7)141(41.2)Chi square=0.195,df=1,p=0.6501.1140.689-1.801
Religion Muslim Hindu75(75)180(54.6)25(25)150(45.4)Chi square=13.304,df=1,p<0.0012.51.514-4.129
Employment of husband Not employed Employed109(86.5)146(48)17(13.5)158(52)Chi square=54.656,df=1,p<0.0016.9393.970-12.128
Employment of women Not employed Employed213(76.1)42(28)67(23.9)108(72)Chi square=93.522,df=1,p<0.0018.1755.213-12.819
Duration of marriage* ≤10 >10119(54.9)136(63.9)98(45.1)77(36.1)Chi square=3.616,df=1,p=0.0570.6880.467-1.012

*In completed year

Median value

SES measured by modified B.G. Prasad scale (2016)

§Lower middle and lower class


Distribution of study subjects according to other relevant factors and their association with occurrence of domestic violence (N=430).

VariablesDomestic ViolenceTest of significanceORCI
PresentNo (%)AbsentNo (%)
Not cookingYesNo147(71.8)108(48)58(28.2)117(52)Chi square=24.980,df=1,p<0.0012.7461.839-4.100
Not attending householdYesNo167(72.9)88(43.8)62 (27.1)113(56.2)Chi square=37.674,df=1,p<0.0013.4592.311-5.177
Talking to othersYesNo172(70.4)83(44.7)72(29.6)103(55.3)Chi square=29.263,df=1,p<0.0012.9651.989-4.418
Dislike by husbandYesNo95(62.5)160(57.6)57(37.5)118(42.4)Chi square=0.996,df=1,p=0.3181.2290.819-1.844
Alcohol addictionYesNo191(76.1)64(35.8)60(23.9)115(64.2)Chi square=70.456,df=1,p<0.0015.7203.753-8.718
Dowry related issueYesNo155 (72.4)100(46.2)59(27.6)116(53.8)Chi square=30.420,df=1,p=0.6503.0472.039-4.554
Male child preferenceYesNo166(72.4)89(44.2)63(27.6)112(55.8)Chi square=35.297,df=1,p<0.0013.3162.218-4.956
Property related issueYesNo137(69.6)118(50.7)60(30.4)115(49.3)Chi square=15.798,df=1,p<0.0012.2251.495-3.312
Social support of wifeNoYes123(65.8)132(54.3)64(34.2)111(45.7)Chi square=5.745,df=1,p=0.0171.6161.090-2.396
Going out without permissionYesNo178(75.1)77(39.9)59(24.9)116(60.1)Chi square=54.639,df=1,p<0.0014.5453.010-6.862
Husband paranoidYesNo107(66.4)148(55)54(33.6)121(45)Chi square=5.463,df=1,p=0.0191.6201.080-2.431

Subsequently, multivariate logistic regression was applied to find out the association of domestic violence with the factors which were statistically significant in the bivariate analysis.

Multivariate analysis revealed violence was higher among women belonging to a family of lower SES with a male child preference, when the spousal age difference was more than six years, having low educational background of husband, unemployment amongst both the spouses, not attending household activities and going outside without permission [Table/Fig-4].

Multivariate analysis showing association of domestic violence with different factors.

Variables*BSigExp(B)95% CI for Exp (B)Lower Upper
Spousal age difference1.800p<0.0016.0522.812 13.026
Education of husband1.0020.0292.7241.108 6.696
Socio-economic status1.693p<0.0015.4342.350 12.565
Employment of husband0.9610.0382.6141.054 6.483
Employment of wife1.995p<0.0017.3493.579 15.091
Not attending household0.7860.0212.1941.124 4.283
Male child preference0.8640.0232.3731.129 4.987
Going outside without permission0.9960.0042.7081.387 5.289
Constant-4.413p<0.001

Hosmer Lemeshow test (p=0.708), Nagelkerke R2=0.718.

B = slope of the gradient in logarithmic scale, Exp (B) = antilog of B

Dependant variable is occurrence of domestic violence. All the independent variables are categorical. Spousal age difference up to 6 years, education of husband above primary level, high SES, employment of both the spouses, attending household adequately, no gender preference and going out with permission were the reference category.

*Adjusted for age of the subjects, education of the victims, religion, not cooking, talking to others, alcohol addiction, dowry, property related, social support of wife, husband paranoid.


Discussion

Domestic violence is multidimensional and multifactorial, ergo prevalent in all societies of the world. Risk factors vary with geographical boundaries and socio-demographic pattern. Dey F et al., showed a trend of ever increasing tendency of crime against women in Kolkata [11]. The prevalence of lifetime physical and emotional violence was found to be 35.7% and 64.9% respectively in a study conducted in Kerala [12].

A study by International Centre for Research on Women (ICRW) [13] covering rural and urban slum and non-slum areas in 7 cities in India found the prevalence of physical and emotional violence to be 40.3% and 43.5%, respectively. Ramirez JC et al., found prevalence of domestic violence among urban population in India as 57% [14], whereas, Jewkes R et al., showed its lifetime prevalence to be 24.6% in South Africa [15].

The prevalence of lifetime and current domestic violence was 56% and 27%, respectively, in a study conducted in slums of Bangalore [7], whereas, in urban slum of Nagpur [8] physical violence was found to be 66%.

A study in urban slum area of Kolkata by Sinha A et al., showed overall prevalence of domestic violence to be 54%, of which 41.9% suffered from both current and lifetime physical and psychological violence [2].

In comparison with the above studies the current study showed a relatively higher prevalence of lifetime physical (61.2%) and emotional violence (84.3%).

Dowry and low education were recognised risk factors of domestic violence in previous studies [8,12], though dowry was not found as a risk factor in the current study. Low levels of education, unemployment of both the partners, alcohol consumption by the husband, lower socio-economic status and absence of social support of the wife were significant factors contributing to domestic violence as shown by Sinha A et al., and Saradamoni K et al. [2,12].

Women in every sphere of life are facing violence not only by their spouse but also by members of paternal home, sometimes by friends, teachers and in their work place too. The current study had focussed mainly on spousal violence. Further studies would help in understanding the violence against women by others apart from the spouses. There is also a need for in depth qualitative research to find out all the hidden contributory factors of violence against women.

Limitation

The present study could have been hindered by wilful falsification of data by some of the participants as well as inclusion of a single slum, that too without any proper sampling technique for which it might not represent the true scenario for the whole of Kolkata.

Conclusion

More than half of the study subjects experienced domestic violence of any kind throughout their married life with emotional violence being the most common one. The perpetrators were mostly the in laws and the spouse. The current study showed an inverse relation of domestic violence with education of husband, employment, socio-economic status and gender preference. The event was found to be higher among the women when the spousal age difference was more and who did not attend household activities and go outside household without prior permission from the husband.

The prevalence of domestic violence in the present study was relatively higher than other studies of this kind. The women in the slums were habituated with the violent behaviour of their husbands in day-to-day life and keeping silence on the issue. They were forced to sexual relationship as it was the only means of entertainment of their partners. They have well accepted this violence as a normal phenomenon in their regular life. Therefore, they ignore this sort of violent behaviour of their husbands, thus, leading to under-reporting of the event. This issue needs to be addressed urgently through continuous IEC, appropriate utilisation of the legislations, proper reporting of the events to a legal authority, women empowerment and change in the attitude of the perpetrators towards the subjects.

*(within last 12 months) † (throughout married life).*In completed yearMedian value SES measured by modified B.G. Prasad scale (2016)§Lower middle and lower classHosmer Lemeshow test (p=0.708), Nagelkerke R2=0.718.B = slope of the gradient in logarithmic scale, Exp (B) = antilog of BDependant variable is occurrence of domestic violence. All the independent variables are categorical. Spousal age difference up to 6 years, education of husband above primary level, high SES, employment of both the spouses, attending household adequately, no gender preference and going out with permission were the reference category.*Adjusted for age of the subjects, education of the victims, religion, not cooking, talking to others, alcohol addiction, dowry, property related, social support of wife, husband paranoid.

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