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Indian J Med Sci ; 2007 May; 61(5): 253-62
Article in English | IMSEAR | ID: sea-68370

ABSTRACT

CONTEXT: Violence against women is a global phenomenon that cuts across all social and economic classes. AIMS: This study was designed to measure the prevalence and correlates of domestic violence (DV) among women seeking services at a voluntary counseling and testing (VCT) center in Bangalore, India. SETTINGS AND DESIGNS: A cross-sectional survey was conducted among women visiting an human immunodeficiency virus (HIV) VCT center in Bangalore, between September and November 2005. MATERIALS AND METHODS: An interviewer-administered questionnaire was used to collect information about violence and other variables. STATISTICAL ANALYSIS USED: Univariable associations with DV were made using Pearson Chi-squared test for categorical variables and Student t-test or the Mann-Whitney test for continuous variables. RESULTS: Forty-two percent of respondents reported DV, including physical abuse (29%), psychological abuse (69%) and sexual abuse (1%). Among the women who reported violence of any kind, 67% also reported that they were HIV seropositive. The most common reasons reported for DV included financial problems (38%), husband's alcohol use (29%) and woman's HIV status (18%). Older women (P < 0.001) and those with low income levels were the most likely to have experienced DV (P = 0.02). Other factors included husband's education, HIV seropositivity and alcohol or tobacco use (P < 0.001). CONCLUSION: This study found DV levels comparable to other studies from around the world. The findings highlight the need for additional training among health care providers in VCT centers in screening for DV, detection of signs of physical abuse and provisions and referrals for women suffering from domestic partner violence.


Subject(s)
Adolescent , Adult , Battered Women/psychology , Community Health Centers/statistics & numerical data , Cross-Sectional Studies , Directive Counseling/statistics & numerical data , Domestic Violence/statistics & numerical data , Female , HIV Infections/diagnosis , Health Surveys , Humans , India/epidemiology , Organizations , Patient Acceptance of Health Care/psychology , Prevalence , Surveys and Questionnaires , Risk Assessment , Risk Factors , Voluntary Programs
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