Statistical modelling of the relationship between intimate partner violence and HIV infection among women in Zimbabwe.
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Date
2014
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Abstract
Zimbabwean women between the ages of 15-49 years are among the women most affected by HIV and Intimate
Partner Violence in the world. The high rates of HIV infection among women have raised an alarm and stimulated
research on the problem of violence against women. Intimate Partner Violence (IPV) is a well-known violation of
human rights and is a problem in public health. It usually overlaps with the HIV/AIDS epidemic and has been
reported to be a determinant of women's risk for HIV. The present study explored relevant statistical methods in
modelling the relationship between Intimate Partner Violence (IPV) and HIV in Zimbabwe. The data used in the
current research is from a Demographic and Health Survey (DHS) conducted in Zimbabwe for year 2005 - 06.
The study aimed at analysing the relationship between IPV and HIV using the following explanatory variables:
age; marital status; religion; education; wealth index; region; decision making; media exposure; STI; physical and
sexual violence. Principal Component Analysis was used to create indices of IPV, media exposure and decision
making among women in the age group 15 - 49. Survey Logistic Regression models accounting for multi-stage
survey design was also used to adjust for socio-demographic and socio-economic factors. In order to explore
the relationship between IPV and HIV prevalence among women, a generalised linear mixed model was adapted,
controlling for socio-demographic variables and treating DHS survey clusters as random effects.
Since IPV takes up more than two categories, Multinomial Logit Modelling was used to analyse the relationship
of IPV with socio demographic and socio-economic variables. The results from the survey logistic regression
modelling were as follows: unadjusted odds ratios (OR) for sexual or physical IPV ranged from 0:91 - 1:09 and
95% confidence intervals (CI) were (0:72; 1:14) for sexual and (0:92; 1:28) for physical violence. The adjusted
odds ratios for sexual violence 0:82 [95%CI : 0:63; 1:06] and physical violence 1:12 [95%CI : 0:97; 1:36]. Both
survey logistic regression models and generalised linear mixed models found no association between HIV and IPV
among women in Zimbabwe. This study provides further evidence that IPV and HIV are not associated. In
addition, the analysis revealed that the covariates which were associated with HIV and IPV were age, education,
marital status, STI, religion and wealth index.
As a result the study recommends that more research is required to find the situations or circumstances under
which IPV is associated with HIV prevalence.
Description
M. Sc. University of KwaZulu-Natal, Pietermaritzburg 2014.
Keywords
HIV infections--Women--Zimbabwe., Violence in women--Zimbabwe., Intimate partner violence--Zimbabwe., HIV infections--Statistical methods., Intimate partner violence--Statistical methods., Theses--Statistics.