Examining the complexity of abortion opinions in the United States: Implications for public health policy
Data from the General Social Survey were utilized to assess rates and predictors of complexity in abortion opinions. Multiple regression was utilized to assess predictors (race, religious views, age, gender, education, political affiliation, ideology) of complexity in abortion opinions.
Results indicated that some predictors found to be significant regarding dichotomous abortion opinions were not significant or equally correlated to complexity in abortion opinions. Specifically, race, age, and political affiliation were not related to complexity in abortion opinions, however, ideology and religious identifications were significant predictors. Education exhibited the strongest negative correlation with complexity of abortion opinions.
Although policymakers and media portray abortion as black and white, current findings suggests that women and men believe access to safe abortion should be available in certain situation. Current findings provide a more accurate view of abortion opinions which should be used to inform future policies regarding legal access to safe abortions.
Public health or related public policy
Public health or related research
Social and behavioral sciences
Describe the relevance of using a complexity in abortion opinions measure in understanding people’s attitudes towards access to abortion. Identify key predictors of complexity in abortion opinions. Articulate how understanding the complexity in abortion attitudes could help inform public health approaches to improving policies surround access to safe, legal abortion.
Keywords: Abortion, Advocacy
Qualified on the content I am responsible for because: I have a PhD in Health Behavior and a Master's degree in Health Promotion from Indiana University and I am currently an Assistant Professor of Community Health Promotion at the University of Arkansas.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.