Abstract: Racially Segregated Neighborhoods Negatively Impact Women's Health: A Study of New York City Residents' Self-Rated Health (Society for Social Work and Research 20th Annual Conference - Grand Challenges for Social Work: Setting a Research Agenda for the Future)

207P Racially Segregated Neighborhoods Negatively Impact Women's Health: A Study of New York City Residents' Self-Rated Health

Schedule:
Friday, January 15, 2016
Ballroom Level-Grand Ballroom South Salon (Renaissance Washington, DC Downtown Hotel)
* noted as presenting author
Cristian Meier, MSW, Doctoral Student, University of Iowa, Iowa City, IA
Nadia Sabbagh, MSW, Doctoral Student, University of Iowa, Iowa City, IA
It is well documented that residents of economically and socially disadvantaged neighborhoods experience poorer health outcomes on average than those who live in more affluent areas.  Racial disparities in health status exist because minorities are more likely than whites to live in communities that are lacking in the necessary infrastructure to support a healthy lifestyle.  Furthermore, gender inequities in health result from a system that allots opportunities to men and women in different ways. These opportunities and roles affect exposure to health risks and their access to resources. In addition to the effect of gender inequalities on a person’s health, systemic and societal oppression and discrimination may further impact health.  The intersectionality approach describes the process by which a person’s position of race, class or gender can lead to inferior social status.  The multiplicative effect of such discrimination experienced by a single person can have a cumulative effect that influences a person’s health. Neighborhood structural factors such as segregation may be contributing to this cumulative discrimination effect throughout a resident’s life and as a result impacts their health status. Research has yet to examine how neighborhoods impact health by gender. The purpose of this study is to examine the effect of gender and racially segregated neighborhoods on self-rated health.

Data from the 2010 New York City Community Health Survey and 2010 Census were utilized. Survey respondents included 7,777 adults (60% female) from 34 neighborhoods. Phone-interviews stratified by neighborhood asked respondents about health behaviors and neighborhood perceptions. Census data includes the proportion of residents within each race category, which was used to create the neighborhood racial typology. Self-rated health was a one-item measure with responses ranging from poor to excellent. Neighborhood segregation values were assigned to each neighborhood, which included the groups of white (reference group), black, Hispanic, and mixed. Analysis included multilevel ordered logistic regression models. Models were stratified by race (white, black, and Hispanic) and included demographic controls including age, income, marital, employment, and education status. 

Univariate, bivariate and within group differences will be discussed. We found that White women living in Hispanic (Coeff=-0.73, p=0.09) or mixed (Coef=-0.40, p=0.07) racially segregated neighborhoods is marginally significantly associated with poorer health. As expected, black women living in racially segregated Black (Coef=-0.92, p<0.01) or Hispanic (Coef=-1.01, p<0.00) neighborhoods is associated with poorer health. Yet, for Hispanic women there is no significant association between neighborhood type and health. Overall, women belonging to racial/ethnic minorities compared to men in their racial group report poorer health than white women.      

We found that neighborhood racial segregation impacts women’s health differently than men for white and black residents. Social work practitioners should consider utilizing a system’s approach to address social determinants of health, to improve health across the lifespan, with the individual, within the family and community by increasing social services and resources in neighborhoods. Policy makers for health equality should include gender specific initiatives that would improve neighborhood structures. Future research should attempt to identify underlying mechanisms that contribute to gender differences in health status.