World Health & Population
Background: Establishing risk factors for intimate partner violence against women (IPVAW) is crucial for addressing women's health and development. Acceptance of IPVAW has been suggested as one of the strongest predictors of IPVAWs. The aim of this study was to examine the independent contributions of individual, community, and societal measures of gender inequality in forming women's attitudes toward IPVAW.
Methods: We applied multivariable multilevel logistic regression analysis to Demographic and Health Survey data for 120,467 women nested within 7463 communities from 17 countries in sub-Saharan Africa.
Results: We found that women whose husband had higher education (odds ratio [OR] =1.06; 95% confidence interval [CI] 1.02 to 1.10) and women whose husband had more than one wife (OR=1.14; 95% CI 1.09 to 1.19) were more likely to accept IPVAW than other women. Unemployed women with an unemployed partner were more likely to justify IPVAW than employed women with working partners (OR=1.32; 95% CI 1.08 to 1.61). Both community and societal measures of gender inequality were associated with women's attitudes toward IPVAW, even after controlling for gender inequality at the individual level. There was evidence of clustering of women's attitudes within communities and within countries.
Conclusion: We provide evidence that community and societal forms of gender inequality influence women's attitudes toward IPVAW beyond individual factors. Choices women make are important, but community and society also impose restraints on women's attitudes toward IPVAW. Thus, policies and programs aimed at reducing or eliminating IPVAW must address people, the communities and societies in which they live in order to be successful.
Intimate-partner violence against women (IPVAW) appears to have occurred from the beginning of societies (Sarkar 2008). A recent study by the World Health Organization confirmed that IPVAW is widespread and a serious form of human rights abuse as well as a public health issue (Ellsberg et al. 2008; Garcia-Moreno et al. 2006). Violence places a serious health burden on women and their children, and its role is amplified through its connection to the rising tide of HIV (Dunkle et al. 2004, 2006; Garcia-Moreno and Watts 2000). Establishing risk factors for IPVAW is crucial for addressing women's health and development. A consensus is emerging that a combination of personal, economic, social and cultural factors may be associated with IPVAW (Naved and Persson 2005). Despite this consensus, most studies of IPVAW explore individual-level factors, whereas community or societal factors remain generally unexplored (Naved and Persson 2005). Acceptance of IPVAW is a factor that has been suggested as one of the strongest predictors of IPVAW (Faramarzi et al. 2005). A troubling aspect of IPVAW is its benign social and cultural acceptance in several parts of the world as a means of physically chastising women – the husband's right to "correct" an erring wife (Counts et al. 1992; Visaria 2000). Available research suggests that women's susceptibility to IPVAW is greatest in societies where the use of violence in many situations is a socially accepted norm (Jewkes 2002). A large proportion of women in these societies considered "arguing with husband" and "refusing sex" as valid reasons for wife beating (Rani and Bonu 2009). Women's own condemnation of this behaviour may, therefore, be an important element in changing it (Schuler and Islam 2008). If women do not confront men because of the threat of domestic violence, the widespread acceptance of IPVAW may also become a major hurdle to the success of other initiatives. These include reproductive health programs (i.e., family planning), care seeking for sexually transmitted diseases or voluntary testing and counselling for HIV, and condom use for prevention of HIV/AIDS.
Drawing largely on feminist theory (Lenton 1995a, 1995b) and imbalance theory of resources and power (Choi and Ting 2008; Cubbins and Vannoy 2005; Goode 1971), we developed a working conceptual framework to help choose variables for exploring the role of proximate and distal gender inequalities in forming women's attitudes toward IPVAW. Variables included here relate to the larger society, immediate social context, immediate family context, spousal relation factors and individual factors concerning both partners. Our approach to understanding the origins of women's attitudes toward IPVAW focused on the dynamics of men's and women's behaviours and the resources that each partner brings to the conjugal union. We identified five general domains that reflect underlying power disparities or restrictions on women's options within unions: (1)age, (2)education, (3)occupation, (4)decision-making autonomy, and (5)household stressors. Within these five domains, gender inequality in marriages or societies may create the terms for the kind of "sexual contract" that places women at a disadvantage (Dunkle et al. 2004; McCloskey et al. 2005), setting the stage for acceptance of IPVAW. Effective programming for gender inequality and IPVAW requires a comprehensive approach that incorporates strategic linkages to facilitate and reinforce the goals of the UN Millennium Project's Task Force on Gender Equality (UN Millennium Project 2005, United Nations Population Fund 2007). Seven strategic priorities have been advocated to achieve Millennium Development Goal 3, "Promote gender equality and empower women." These include reducing gender inequality and disadvantage in terms of education; sexual and reproductive health and rights; time burden; property and inheritance rights; employment and wages; political participation in parliament and local governments; and violence against women (UN Millennium Project 2005; United Nations Population Fund 2007).
To our knowledge, no multilevel study to date has examined the independent contributions of individual, community and societal gender inequality in forming attitudes toward IPVAW among women in sub-Saharan Africa. Thus, the aim of this study is to fill this research gap. Without objective information about the important factors forming women's attitudes towards IPVAW, it is difficult to plan substantial public health programs that could prevent the occurrence of IPVAW.
Subjects and Methods
This study used data from 17 Demographic and Health Surveys (DHS) conducted between 2003 and 2007 in sub-Saharan Africa. Methods and data collection procedures have been published elsewhere (Measure DHS 2008). The survey's questionnaires were similar across countries, yielding inter-country comparable data. Only countries with available data on attitudes toward IPVAW were included in the study; they were Benin, Burkina Faso, Ethiopia, Ghana, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mozambique, Namibia, Nigeria, Rwanda, Swaziland, Tanzania, Uganda and Zimbabwe. For the purpose of our study, we pooled data from these 17 countries into one data set. Country-level data (gender-related development index) were collected from the reports published by the United Nations Development Program (UNDP 2008).
The analysis presented in this study was restricted to ever-married women. The category "ever married" includes women currently married, formally married women and unmarried women who are living with a man as if married. To assess the degree of acceptance of wife beating, respondents were asked the following question: "Sometimes a husband is annoyed or angered by things which his wife does. In your opinion, is a husband justified in hitting or beating his wife in the following situations?" The five scenarios presented to respondents for their opinions were (1) "If the wife burns the food," (2) "If the wife argues with the husband," (3) "If the wife goes out without informing the husband," (4) "If the wife neglects the children," and (5) "If the wife refuses to have sexual relations with the husband." A binary outcome variable was created for acceptance of wife beating, coded as zero (0) if the respondent did not agree with any of the situations when the husband is justified in beating the wife or did not have any opinion on the issue, and coded as one (1) if the respondent agreed with at least one situation where the husband is justified in beating the wife.
To explain the role of proximal and distal gender inequalities in forming women's attitudes toward IPVAW, we adopted an ecological framework in which the propensity to justify IPVAW is a function of individual-, community-, and societal-level variables. Seven variables characterizing individual-level measures of gender inequality were included. They were (1)spouses' relative education, (2) spousal age gap, (3) employment discrepancy, (4) polygamy, (5)parity, (6)early marriage, and (7)decision-making power. Birth cohort was included as a partial control for a period trend to control for effects of unknown factors that may have been introduced due to different timing of surveys across countries. In terms of community-level measures of gender inequality, we considered (1) community median age of marriage, (2) average household size, (3)average spousal age gap, and (4)ratio of educated and employed men to women in the community. Place of residence was also included as a control variable at the community level. The Gender-related Development Index (GDI), which reflects gender disparities in basic human capabilities, was used as a measure of societal-level gender inequality. The full definition for each explanatory variable is given in Table 1.
|Table 1. Variables and definitions|
|Birth cohort||Self-reported year of birth was categorized into (1) 1936 to 1945, (2) 1946 to 1955, (3) 1956 to 1966, or (4) 1966 to 1975|
|Spouses' relative education||Categorized into (1) wife has same, (2) wife has less, (3) wife has more, or (4) both uneducated|
|Spousal age gap||Calculated from respondent report of her own and husband's age|
|Employment discrepancy||Categorized into (1) both working, (2) only man working, (3) only woman working, and (4) both unemployed|
|Polygyny||Husband has other wives (yes or no)|
|Parity||Self-reported number of children ever born.|
|Early marriage||Married before the age of 18 (yes or no)|
|Decision-making power||Women's decision autonomy was assessed by inquiring about who bore the responsibility of making decisions on household purchases including small and large ones, visiting relatives and friends, spending the wife's earnings, and the number of children to have. For these variables, response options were "husband," "wife" or "both husband and wife." We created an additive scale (from 0 to 5) that counted the number of domains in which each (husband/partner alone, wife alone and couple) had the final word.|
|Place of residence||Cluster classification: urban or rural areas|
|Median age of marriage||Median age of marriage in community|
|Average household size||Mean number of household members in community|
|Average spousal age gap||Mean difference in reported age between husband and wife in community|
|Ratio of educated men to women in the community||Ratio of percentage of men with at least primary education to percentage of women with at least primary education in community|
|Ratio of employed men to women in the community||Ratio of percentage of men currently employed to percentage of women currently employed in community|
|Gender-related development index||Measures gender disparities in the areas of life expectancy at birth; education, by adult literacy rate combined with the primary, secondary, and tertiary gross enrolment ratio; and estimated earned income (purchasing power, parity of US dollars). These areas of measurement refer to the "gendered gap" that exists between men and women in their access to economic and social resources and services due to women's disadvantaged position in society|
We used multilevel multivariable logistic regression to analyze the association between attitudes toward IPVAW and proximal and distal measures of gender inequality. We specified a 3-level model for binary response reporting acceptance of IPVAW or not, for individuals (Level 1), living in a community (Level 2), from a country (Level 3). We fitted a model that included individual, community and societal gender inequality measures (the "full model"). Prior to examining the full model, an unconditional model (i.e., an "empty model") was specified to decompose the amount of variance between community and country levels. Measures of random effects included intracluster correlation (ICC).
The ICC was calculated by the linear threshold according to the formula used by Snijders and Bosker (1999). We checked for multi-collinearity among exposure variables examining the variance inflation factor (VIF) (Tu et al. 2004, 2005). Regression estimates were calculated by means of the reweighted iterative generalized least square algorithm using MLwiN 2.10 (Rashbash et al. 2004). In the multilevel logistic regression models, second-order penalized quasi-likelihood (PQL) estimation was used (Goldstein 2003). The statistical significance of covariates was calculated using the Wald test (Rashbash et al. 2008). All significance tests were two-tailed, and statistical significance was defined at the 5% alpha level.
The countries, year of data collection, final sample and number of communities sampled per country are listed in Table 2. The median number of communities sampled was 405, ranging from 274 in Swaziland to 750 in Benin. The percentage of women with acceptance of IPVAW in at least one situation varied across countries, from 20% in Swaziland to almost 80% in Ethiopia. Table 3 presents descriptive statistics for the final pooled sample. For this analysis, information on 120,467 women (Level 1) nested within 7463 communities (Level 2) from 17 countries (Level 3) in sub-Saharan Africa was pooled into one data set. The overall percentage of women with a positive attitude toward IPVAW was 55%. Only 10% of the women had more education than their partners. The median spousal age gap was 6 years (interquartile range 7). About 40% of women's husbands had another wife. Half of the women had married before the age of 18 years.
|Table 2. Description of Demographic and Health Surveys data 2003–2007 in sub-Saharan Africa among women by country, survey year, sample size, response rates and attitudes toward intimate-partner violence against women (IPVAW)|
|Country||Survey year||Number of women||Number of communities||Justified IPVAW (%)|
|Table 3. Summary of sample characteristics|
|Acceptance of IPVAW|
|Level 1: Individuals||120,467 (100)|
|Birth cohorts||25,132 (20.9)|
|Spouses' relative education|
|Wife has same||40,420 (33.6)|
|Wife has less||32,200 (26.7)|
|Wife has more||13,063 (10.8)|
|Both uneducated||30,726 (25.5)|
|Spousal age gap (years), median (IQR)||6.0 (7.0)|
|Both working||89,038 (73.9)|
|Only man working||27,966 (23.2)|
|Only woman working||558 (0.5)|
|Both not working||717 (0.6)|
|Respondent alone (0–5)|
|Husband/partner alone (0–5)|
|Number of children, median (IQR)||3.0 (3.0)|
|Level 2: Communities||Median (IQR)|
|Place of residence, number (%)|
|Median age of marriage||17.5 (2.5)|
|Average household size||5.8 (1.9)|
|Average spousal age gap||7.2 (3.7)|
|Ratio of educated men to women||1.1 (0.5)|
|Ratio of employed men to women||1.3 (1.1)|
|Level 3: Countries||Number (%)|
|GDI = Gender Development Index; IQR = interquartile range.|
Measures of Variations (Random Effects)
The results of the unconditional model showed that approximately 20% and 14% of the variance in the log odds of justifying IPVAW could be attributed to the community (τ =0.695; p=.004) and country levels (τ =0.989; p<.0001), respectively. Variations across communities and countries remained statistically significant, even after controlling for individual-, community-, and country-level factors (Table 4), thereby lending support for the use of multilevel modelling to account for community and country variations.
|Table 4. Individual-, community- and country-level gender inequality associated with attitudes toward intimate-partner violence against women (IPVAW) identified by multivariable multilevel logistic regression, sub-Saharan Africa|
|Variable||Empty Modela||Full modelb|
|OR (95% CI)|
|Level 1: Individuals|
|Birth cohorts||0.66 (0.62, 0.72)***|
|1936–1945||0.69 (0.64, 0.73)***|
|1946–1955||0.76 (0.71, 0.80)***|
|1956–1965||0.84 (0.80, 0.89)***|
|Spouses' relative education|
|Wife has same||1 (reference)|
|Husband has more||1.06 (1.02, 1.10)**|
|Wife has more||1.00 (0.95, 1.05)|
|Both uneducated||1.24 (1.17, 1.31)***|
|Spousal age gap (years)||1.00 (0.94, 1.11)|
|Both working||1 (reference)|
|Only man working||1.02 (0.98, 1.07)|
|Only woman working||0.97 (0.77, 1.21)|
|Both not working||1.32 (1.08, 1.61)**|
|Polygyny||1.14 (1.09, 1.19)***|
|Women alone (0–5)||0.97 (0.95, 0.99)*|
|Husband–wife (0–5)||0.93 (0.91, 0.96)***|
|Husband/partner alone (0–5)||1.04 (1.02, 1.06)**|
|Number of children||1.03 (1.02, 1.04)***|
|Early marriage||1.12 (1.08, 1.16)***|
|Level 2: Communities|
|Rural (versus urban)||1.56 (1.47, 1.66)***|
|Median age of marriage||0.89 (0.88, 0.91)***|
|Average household size||1.08 (1.06, 1.10)***|
|Average spousal age gap||1.01 (1.00, 1.02)|
|Ratio of educated men to women||0.98 (0.96, 1.00)|
|Ratio of employed men to women||1.00 (1.00, 1.01)|
|Level 3: Countries|
|Low||1.62 (0.81, 3.23)|
|Medium||2.39 (1.16, 4.93)*|
|Measures of variation|
|Variance (standard error)||0.695 (0.239)||0.337 (0.120)|
|Intra-class correlation (%)||14.0||7.9|
|Variance (standard error)||0.989 (0.022)||0.665 (0.019)|
|Intra-class correlation (%)||19.9||15.5|
|GDI = Gender Development Index; OR = Odds Ratio; CI = Confidence Interval|
|aEmpty model – null model; baseline model without any exposure variable.|
|bFull model – adjusted for individual, community and societal-level measures of gender inequality.|
Measures of Associations (Fixed Effects)
The results of fitting the model including individual-, community-, and country-level gender inequality appear in Table 4 (full model). Birth cohorts had a statistically significant association with odds of justifying IPVAW. Older women were less likely to justify IPVAW than younger women (odds ratio [OR] = 0.66; 95% confidence interval [CI] 0.62 to 0.72). Women whose husband had higher education were more likely to justify IPVAW than women with the same level of education as their partner (OR=1.06; 95% CI 1.02 to 1.10). Similarly, uneducated women with uneducated partners were more likely to justify IPVAW than women with some education and the same level of education as their partner (OR=1.24; 95% CI 1.17 to 1.31). There was no association between spousal age gap and odds of justifying IPVAW. Compared to working women with working partners, unemployed women with unemployed partners were more likely to justify IPVAW (OR=1.32; 95% CI 1.08 to 1.61). Women in polygamous families were 14% more likely to justify IPVAW than women in monogamous families. Women who reported having the final say in most household decisions were 3% less likely to justify IPVAW.
Similarly, women reporting joint decision making with their partners were significantly less likely to justify IPVAW than women reporting individual decision making (OR=0.93; 95% CI 0.91 to 0.96). Women were 4% more likely to justify IPVAW if their partner alone had the final say in more household decisions than they did. An increase in the number of children ever born increased the odds of justifying IPVAW by 3%. Women who married early (younger that 18 years of age) were 12% more likely to justify IPVAW than those who did not marry early.
Three significant community-level associations were identified. Women from rural areas were 56% more likely to justify IPVAW than their urban counterparts. Justification of IPVAW decreased as the median age of marriage increased above the community median age of marriage. An increase in the number of people living in a household above the community average household size was associated with an 8% increase in women justifying IPVAW. After controlling for the associations of individual- and community-level gender inequality, country-level gender inequality was statistically significantly associated with odds of justifying IPVAW. Women from countries with high GDI were 139% more likely to justify IPVAW (OR=2.39; 95% CI 1.16 to 4.93) than those from countries with low GDI.
This study is the first we are aware of that examines how proximate and distal gender inequalities are associated with women's attitudes toward IPVAW. We found that community and societal measures of gender inequalities were associated with women's acceptance of IPVAW independently of individual-level inequality. Our findings provide support for the growing body of research suggesting that contextual factors are important in explaining people's perceptions. The study adds to the literature by demonstrating that community and societal forms of gender inequality factors influence women's attitudes toward IPVAW beyond individual factors. We found that choices women make are important, but the community and society factors may also imposed willpower and restraints on women's attitudes to IPVAW. A few people believe that women's attitudes are of their own choosing; however, we found that women's attitudes may be depended on people around them and circumstances they found themselves in.
Our novel finding of geographical clustering in women's attitudes toward IPVAW had never been reported before. Women living in the same neighbourhood tended to have similar attitudes. This is in part because women in the same neighbourhood are subject to common contextual influences (Merlo et al. 2005) that express themselves as clustering of women's attitudes within the community.
The results of studies in sub-Saharan Africa (Abrahams et al. 2006; Choi and Ting 2008; Jewkes et al. 2003; Karamagi et al. 2006; McCloskey et al. 2005) and other parts of the world (Kim and Emery 2003; Palitto and O'Campo 2005; Straus et al. 1988; Yodanis 2004) have suggested that the risk of violence is higher in husband-dominated families than in egalitarian families. The reasons explaining why IPVAW continues to thrive in patriarchal societies and societies that encourage gender inequality may include the patriarchal structure of the most sub-Saharan African family, where society gives men considerable authority. (Haj-Yahia 2005; Straus 1980). Firstly, men are considered to have an advantage in resources and perceived as enjoying superior personal characteristics. They supposedly possess – exclusively – skills and abilities such as intelligence, wisdom, discretion, knowledge, professional prestige and the ability to make a living. Furthermore, men are expected to dominate women. Secondly, patriarchal societies tend to encourage socialization and education for compulsive masculinity. From a very young age, boys are educated to preserve their masculinity and are ashamed of behaviours that society perceives to be feminine or childish. Thirdly, women are subject to economic constraints and discrimination, which are usually imposed on them to a greater degree than on men, both within and outside the family. The repressive economic and occupational structure of patriarchal societies leaves women with very few alternatives. In general, the objective and perceived status of occupations and jobs open to women are inferior to those available to men. And, finally, the patriarchal, non-democratic and sexist structure poses a risk – or at least a potential risk – of fostering a negative self-image among women. This threat to the woman's self-image can be attributed largely to society's emphasis on achievements and competitiveness, which are associated more with masculinity than femininity (Haj-Yahia 2005).
Study Strengths and Limitations
This large, population-based study with national coverage from 17 countries with high response rates makes several key contributions to the existing literature. The Demographic and Health Surveys have some important advantages when compared with other surveys. They are often nationally representative, allowing for conclusions that cover the entire nation. In addition, variables are operationalized in the same way, making it possible to compare numerical values across countries. Overall, the number of countries included, and their geographic and socioeconomic diversities, constitutes a good yardstick for the region and helps strengthen the findings from the study.
The findings of our study were based on a cross-sectional survey and, therefore. we were not able to determine whether the effects of neighbourhood characteristics on attitudes toward IPVAW were due to cumulated effects. Furthermore, neighborhoods used in the analyses were administrative boundaries, which may not adequately capture the social context important for individual attitude. However, this issue is not supported by the high neighborhood variances found.
Given the societal and community factors that shape the attitudes of women toward IPVAW, we believe, like others (Harvey et al. 2007), that structural interventions hold great promise for significant achievements in the prevention of IPVAW. For nearly four decades, feminist researchers have argued that in order to stop men's use and women's experience of violence on the personal level, structures of gender inequality at the societal level must change (Brownmiller 1975; Dobash and Dobash 1979; Hester et al. 1996; Yodanis 2004). Multi-faceted interventions tackling structural determinants of IPVAW may represent a potentially effective approach for addressing issues related to IPVAW. Program components could include socio-economic development, promotion of higher education, youth development, media campaigns, educational interventions, male involvement initiatives and legislative reform efforts. A recent cluster randomized trial provides encouraging evidence that combined microfinance and training interventions can lead to reductions in levels of IPVAW in program participants (Pronyk et al. 2006). Structural interventions focusing on improving the coverage and dissemination of information to the general public may be beneficial in changing women's attitudes toward IPVAW, alongside a review of the educational system, which may seem to reinforce gender inequity (Uthman et al. 2009). Building on advocacy for shared autonomy in the domestic domain, and the provision of basic education for all, may prove paramount in changing women's distorted attitudes about IPVAW (Uthman et al. 2009). Interventions that promote joint decision making might be a promising strategy for increasing women's view toward equality while promoting men's views that household disputes should be settled with negotiation, not violence (Uthman et al. 2009).
We have provided evidence that community and societal forms of gender inequality factors may be associated with women's attitudes toward IPVAW beyond individual factors. Choices women make are important, but community and society factors may also imposed willpower and restraint on women's attitudes toward IPVAW. Thus, policies and programs aimed at reducing or eliminating IPVAW must address people, the communities and societies in which they live in order to be successful.
About the Author(s)
Olalekan A. Uthman MD MPH, Department of Public Health Sciences, Division of Social Medicine, Karolinska Institutet, Stockholm, Sweden
Stephen Lawoko PhD, Department of Public Health Sciences, Division of Social Medicine, Karolinska Institutet, Stockholm, Sweden
Tahereh Moradi PhD, Department of Environmental Medicine, Division of Epidemiology, Karolinska Institutet, Stockholm, Sweden
Correspondance may be directed to: Olalekan A. Uthman, Department of Public Health Sciences, Division of Social Medicine, Epidemiology, Karolinska Institutet, Stockholm, Sweden; E-mail: firstname.lastname@example.org, Tel: +46 736 46 47 83.
The authors are grateful to Measure DHS for providing them with the DHS data.
Abrahams, N., R. Jewkes, R. Laubscher and M. Hoffman. 2006. "Intimate Partner Violence: Prevalence and Risk Factors for Men in Cape Town, South Africa." Violence and Victims 21(2): 247–64.
Brownmiller, S. 1975. Against Our Will: Men, Women, and Rape. New York, NY: Bantam Books.
Choi, S.Y. and K.F. Ting. 2008. Wife Beating in South Africa: "An Imbalance Theory of Resources and Power." Journal of Interpersonal Violence 23(6): 834–52.
Counts, D., J.K. Brown and J.C. Campbell. 1992. Sanctions and Sanctuary: Cultural Perspectives on the Beating of Wives. Boulder, CO: Westview Press.
Cubbins, L.A. and D. Vannoy. 2005. "Socioeconomic Resources, Gender Traditionalism and Wife Abuse in Urban Russian Couples." Journal of Marriage and Family 67(1): 37–52.
Measure DHS. 2008. Demographic Health Surveys. Publications by Country Retrieved January 04, 2010. <http://www.measuredhs.com/pubs/browse_region.cfm>.
Dobash, R.E. and R. Dobash. 1979. Violence against Wives: A Case against the Patriarchy. London: Open Books.
Dunkle, K.L., R.K. Jewkes, H.C. Brown, G.E. Gray, J.A. McIntyre and S.D. Harlow. 2004. "Gender-Based Violence, Relationship Power, and Risk of HIV Infection in Women Attending Antenatal Clinics in South Africa." The Lancet 363(9419): 1415–21.
Dunkle, K.L., R.K. Jewkes, M. Nduna, J. Levin, N. Jama, N. Khuzwayo, M.P. Koss and N. Duvvury. 2006. "Perpetration of Partner Violence and HIV Risk Behaviour among Young Men in the Rural Eastern Cape, South Africa." AIDS 20(16): 2107–14.
Ellsberg, M., H.A. Jansen, L. Heise, C.H. Watts and C. Garcia-Moreno. 2008. "Intimate Partner Violence and Women's Physical and Mental Health in the WHO Multi-Country Study on Women's Health and Domestic Violence: An Observational Study." The Lancet 371(9619): 1165–72.
Faramarzi, M., S. Esmailzadeh and S. Mosavi. 2005. "A comparison of abused and non-abused women's definitions of domestic violence and attitudes to acceptance of male dominance." European journal of obstetrics, gynecology, and reproductive biology 122(2):225-231.
Garcia-Moreno, C., H.A. Jansen, M. Ellsberg, L. Heise and C.H. Watts. 2006. "Prevalence of Intimate Partner Violence: Findings from the WHO Multi-country Study on Women's Health and Domestic Violence." The Lancet 368(9543): 1260–9.
Garcia-Moreno, C. and C. Watts. 2000. "Violence against Women: Its Importance for HIV/AIDS." AIDS 14(Suppl. 3): S253–65.
Goldstein, H. 2003. Multilevel Statistical Models. London: Hodder Arnold.
Goode, W.J. 1971. "Force and Violence in the Family." Journal of Marriage and Family 33(4): 624–36.
Haj-Yahia, M.M. 2005. "On the Characteristics of Patriarchal Societies, Gender Inequality, and Wife Abuse: The Case of Palestinian Society." Adalah's Newsletter 20.
Harvey, A., C. Garcia-Moreno and A. Butchart. 2007, May 2–3. Primary Prevention of Intimate-Partner Violence and Sexual Violence: Background Paper for WHO Expert Meeting. Geneva: WHO.
Hester, M., L. Kelly and J. Radford, J. 1996. Women, Violence, and Male Power: Feminist Activism, Research, and Practice. Buckingham, UK: Open University.
Jewkes, R. 2002. "Intimate Partner Violence: Causes and Prevention." The Lancet 359(9315): 1423–9.
Jewkes, R.K., J.B. Levin and L.A. Penn-Kekana. 2003. "Gender Inequalities, Intimate Partner Violence and HIV Preventive Practices: Findings of a South African Cross-sectional Study." Social Sciences & Medicine 56(1): 125–34.
Karamagi, C.A., J.K. Tumwine, T. Tylleskar and K. Heggenhougen. 2006. "Intimate Partner Violence against Women in Eastern Uganda: Implications for HIV Prevention." BMC Public Health 6: 284.
Kim, J.Y. and C. Emery. 2003. "Marital Power, Conflict, Norm Consensus, and Marital Violence in a Nationally Representative Sample of Korean Couples." Journal of Interpersonal Violence 18(2):197–219.
Lenton, R. 1995a. "Feminist versus Interpersonal Power Theories of Wife Abuse Revisited." Canadian Journal of Criminology 37(4): 567–74.
Lenton, R. 1995b. "Power versus Feminist Theories of Wife Abuse." Canadian Journal of Criminology 37(3): 305–30.
McCloskey, L.A., C. Williams and U. Larsen. 2005. "Gender Inequality and Intimate Partner Violence among Women in Moshi, Tanzania." International Family Planning Perspectives 31(3): 124–30.
Measure DHS. 2008. Demographic Health Surveys. Publications by Country Retrieved January 04, 2010.
Merlo, J., B. Chaix, M. Yang, J. Lynch and L. Rastam. 2005. "A Brief Conceptual Tutorial of Multilevel Analysis in Social Epidemiology: Linking the Statistical Concept of Clustering to the Idea of Contextual Phenomenon." Journal of Epidemiology & Community Health 59(6): 443–9.
Naved, R.T. and L.A. Persson. 2005. "Factors Associated with Spousal Physical Violence against Women in Bangladesh." Studies in Family Planning 36(4): 289–300.
Pallitto, C.C. and P. O'Campo. 2005. "Community Level Effects of Gender Inequality on Intimate Partner Violence and Unintended Pregnancy in Colombia: Testing the Feminist Perspective." Social Sciences and Medicine 60(10): 2205–16.
Pronyk, P.M., J.R. Hargreaves, J.C. Kim, L.A. Morison, G. Phetla, C. Watts, J. Busza and J.D. Porter. 2006. "Effect of a Structural Intervention for the Prevention of Intimate-Partner Violence and HIV in Rural South Africa: A Cluster Randomised Trial." The Lancet 368(9551): 1973–83.
Rani, M. and S. Bonu. 2009. "Attitudes toward Wife Beating: A Cross-Country Study in Asia." Journal of Interpersonal Violence 24(8): 1371–97.
Rasbash, J., F. Steele, W. Browne and B. Prosser. 2004. A User's Guide to MLwiN. Version 2.0. London: Centre of Multilevel Modelling, Institute of Education, University of London.
Rasbash, J., F. Steele, W. Browne and B. Prosser. 2008. A User's Guide to MLwiN. Version 2.10. London, Centre of Multilevel Modelling, Institute of Education, University of London.
Sarkar, N.N. 2008. "The Impact of Intimate Partner Violence on Women's Reproductive Health and Pregnancy Outcome." Journal of Obstetrics and Gynaecology 28(3): 266–71.
Schuler, S.R. and F. Islam. 2008. "Women's Acceptance of Intimate Partner Violence within Marriage in Rural Bangladesh." Studies in Family Planning 39(1): 49–58.
Snijders, T. and R. Bosker. 1999. Multilevel Analysis – An Introduction to Basic and Advanced Multilevel Modelling. Thousand Oaks, CA: Sage Publications.
Straus, M.A. 1980. "Sexual Inequality and Wife Beating." In Straus, M.A. and G.T. Hotaling, The Social Causes of Husband–Wife Violence pp. 86-93. Minneapolis, MN: University of Minnesota Press.
Straus, M.A., R.J. Gelles and S.K. Steinmetz. 1988. Behind Closed Doors: Violence in the American Family. London, UK: Sage Publications.
Tu, Y.K., V. Clerehugh and M.S. Gilthorpe. 2004. "Collinearity in Linear Regression Is a Serious Problem in Oral Health Research." European Journal of Oral Sciences 112(5): 389–97.
Tu, Y. K., M. Kellett, V. Clerehugh and M.S. Gilthorpe. 2005. "Problems of Correlations between Explanatory Variables in Multiple Regression Analyses in the Dental Literature." British Dental Journal 199(7): 457–61.
UN Millennium Project. 2005. Taking Action: Achieving Gender Equality and Empowering Women. Task Force on Education and Gender Equality, London and Sterling, VA: Earthscan.
United Nations Development Program. 2008. Statistics of the Human Development Report. Retrieved January 04, 2010. <http://hdr.undp.org/en/statistics/>.
United Nations Population Fund. 2007. Delivering on the Promise of Equality: UNFPA's Strategic Framework for Gender Mainstreaming and Women's Empowerment 2008–2011. New York: United Nations Population Fund.
Uthman, O.A., S. Lawko and T. Moradi. 2009. "Factors Associated with Attitudes towards Intimate Partner Violence against Women: A Comparative Analysis of 17 sub-Saharan Countries." BMC International Health and Human Rights 9: 14.
Visaria, L. 2000. "Violence against Women: A Field Study." Economic and Political Weekly 35(20): 1742–51.
Yodanis, C.L. 2004. "Gender Inequality, Violence against Women, and Fear: A Cross-national Test of the Feminist Theory of Violence against Women." Journal of Interpersonal Violence 19(6):655–75.
Be the first to comment on this!
Personal Subscriber? Sign In
Note: Please enter a display name. Your email address will not be publically displayed