Violence against pregnant women with disabilities

Background Each year, violence is perpetrated against 1.5 million US women, of whom 324,000 are pregnant. Violence in pregnancy has adverse effects on maternal and infant health. Although there are 4.7 million childbearing age women with disabilities, and their pregnancy rates are growing, there is very little information about violence against pregnant women with disabilities. Objectives The study questions are: Are there differences in pre- and in-pregnancy violence experiences of women with and without disabilities? Is disability a significant predictor of pre- and in-pregnancy violence against women? Methods The study uses data from the 2009 Pregnancy Risk Assessment Monitoring System (PRAMS) from Massachusetts and Rhode Island. The study conducts χ 2 -tests and multivariate analyses of violence experiences. Results Pregnant women with disabilities experience more violence than those without. Disability is a significant violence predictor. The number and types of stress sources significantly affect the likelihood of violence. Poor health behaviors also contribute to the likelihood of violence. Conclusion There is a need to reduce violence against pregnant women particularly those with disabilities. Effective interventions require information about causality which can be established through analysis of primary data. Future studies should collect and analyze household level data. Care providers can contribute information by monitoring, recording, and reporting stress types, levels, and violence especially among pregnant women with disabilities

A comparative analysis of pregnancy outcomes for women with and without disabilities

In 2010 in the US, there were 4.7 million childbearing age (15-44 years) women with disabilities (WWD) defined as, being limited in any way in any activities because of physical, mental, or emotional problems. Although their proportion and pregnancy rates are growing, there is little empirical evidence about their health, healthcare needs, pregnancy experiences and outcomes. We examined differences and predictors of pregnancy outcomes for women with and without disabilities. We used 2009 Pregnancy Risk Assessment Monitoring System (PRAMS) data from 15,585 Massachusetts and Rhode Island women. We conducted χ2- and t –tests of pregnancy outcome differences for WWD and those without. Applying an economics’ health production framework, we conducted multivariate and partial correlation analysis to determine disability significance in predicting pregnancy outcomes. We found no significant differences in delivery types, the mother’s hospital stay or the likelihood of birth defects. However, relative to infants born to women without disabilities, those born to WWD had higher likelihoods of preterm birth, mortality, need for intensive care, low gestational age, and low birth weights. Health behavior, health capital stock and access to prenatal care were strong pregnancy outcome predictors, but disability was not. Therefore, having a disability is not a guarantee against positive pregnancy outcomes. Improved health behavior, health capital stock and access to prenatal care can improve pregnancy outcomes for WWD. A better understanding of interactions between disability and pregnancy, and between disability and other pregnancy outcome predictors could aid the identification of effective methods for improving outcomes for WWD

Consistency of Minority and Socioeconomic Status as Predictors of Health

This paper examines the relative consistency of economic and racial status as predictors of the individual’s physical and emotional health. The focus of the study is the covariates of (1) limited activity resulting from poor physical and (2) limited activity resulting from poor emotional health. Using data from the 2003 Behavioral Risk Factor Surveillance System survey, the study was developed in two phases. In the first, logistic regression analysis was used to examine two binary variables that identified respondents who reported at least one day of limited activity that resulted from poor physical and then poor emotional or mental health. Limited to those who reported at least one day of limited activity, the second stage of the study examined variability in the number of days of limited activity that resulted from 1) poor physical health and; 2) poor mental or emotional health. After controlling for chronic conditions, risk factors, access to care and the demographic attributes of the individual, the results indicate that the economically disadvantaged consistently reported poor health while wealthier members of the study group reported good health. The coefficients derived for membership in minority groups, defined as African Americans, Native Americans and Latinos, were inconsistent and, in general, insignificant (P\u3c.05)

Factors Affecting Vocational Rehabilitation Intervention Outcomes: The Case for Minorities With Disabilities

Abstract available at publisher's web site