Weighted characteristics of participants.

<p>Weighted characteristics of participants.</p

Chi square testing the relationship between uptake of HIV testing and participant characteristics.

<p>Chi square testing the relationship between uptake of HIV testing and participant characteristics.</p

Logistic regression testing uptake of HIV testing by contraceptive method.

<p>Logistic regression testing uptake of HIV testing by contraceptive method.</p

Logistic regression testing uptake of HIV testing by contraceptive method, excluding condoms.

<p>Logistic regression testing uptake of HIV testing by contraceptive method, excluding condoms.</p

Demographic and health characteristics of participants.

<p>Demographic and health characteristics of participants.</p

Weighted Chi-square test of association between uptake of HIV testing and respondents’ characteristics.

<p>Weighted Chi-square test of association between uptake of HIV testing and respondents’ characteristics.</p

Logistic Regression Models HIV testing by Participants' Demographic and Reproductive Health Characteristics.

<p>Logistic Regression Models HIV testing by Participants' Demographic and Reproductive Health Characteristics.</p

Acceptance of male circumcision among study participants before and after information session stratified by circumcision status

<p>Acceptance of male circumcision among study participants before and after information session stratified by circumcision status</p

Table_1_Measuring Women's Empowerment in Sub-Saharan Africa: Exploratory and Confirmatory Factor Analyses of the Demographic and Health Surveys.doc

<p>Background: Women's status and empowerment influence health, nutrition, and socioeconomic status of women and their children. Despite its benefits, however, research on women's empowerment in Sub-Saharan Africa (SSA) is limited in scope and geography. Empowerment is variably defined and data for comparison across regions is often limited. The objective of the current study was to identify domains of empowerment from a widely available data source, Demographic and Health Surveys, across multiple regions in SSA.</p><p>Methods: Demographic and Health Surveys from nineteen countries representing four African regions were used for the analysis. A total of 26 indicators across different dimensions (economic, socio-cultural, education, and health) were used to characterize women's empowerment. Pooled data from all countries were randomly divided into two datasets—one for exploratory factor analysis (EFA) and the other for Confirmatory Factor Analysis (CFA)—to verify the factor structure hypothesized during EFA.</p><p>Results: Four factors including attitudes toward violence, labor force participation, education, and access to healthcare were found to define women's empowerment in Central, Southern, and West Africa. However, in East Africa, only three factors were relevant: attitudes toward violence, access to healthcare ranking, and labor force participation. There was limited evidence to support household decision-making, life course, or legal status domains as components of women's empowerment.</p><p>Conclusion: This foremost study advances scholarship on women's empowerment by providing a validated measure of women's empowerment for researchers and other stakeholders in health and development.</p

Comparison of participant baseline characteristics and infant gender with mode of delivery.

<p>Comparison of participant baseline characteristics and infant gender with mode of delivery.</p