An Integrated Approach to Measuring Sexual Orientation Disparities in Women's Access to Health Services: A National Health Interview Survey Application

LGBT Health ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 87-93 ◽  
Author(s):  
Sarah MacCarthy ◽  
Steven C. Martino ◽  
Q. Burkhart ◽  
Megan K. Beckett ◽  
Mark A. Schuster ◽  
...  
2005 ◽  
Vol 35 (2) ◽  
pp. 213-236 ◽  
Author(s):  
Nancy Krieger ◽  
Elizabeth M. Barbeau ◽  
Mah-Jabeen Soobader

To inform current debates over whether occupational class is causally linked to health inequities, the authors used data from the 2000 U.S. National Health Interview Survey to compare occupational disparities in access to health services, socioeconomic resources, and health status, using (1) the United Kingdom's new National Statistics Socio-Economic Classification (NS-SEC), premised on type of labor contract (salaried vs. hourly wage) and class position (employer, self-employed, supervisory and non-supervisory employee), and (2) the conventional U.S. occupational categories, premised on status and skill. Analyses included all working-age adults (age 25 to 64) for whom data on occupation and race/ethnicity were available (N = 22,500). Risk of inadequate access to health services, poverty, and low education were two times greater for persons in NS-SEC class 5 versus class 1, compared with blue-collar versus white-collar, and for both measures persons with the worst health status were in jobs that afforded the least access to health care. Controlling for earned income and workplace health insurance markedly reduced health service disparities, especially for the NS-SEC measure, thereby implying structural characteristics of jobs are causally relevant for resources and benefits necessary to address health inequities in the United States.


PLoS ONE ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. e0213431 ◽  
Author(s):  
Anup Srivastav ◽  
Alissa O’Halloran ◽  
Peng-Jun Lu ◽  
Walter W. Williams ◽  
Sonja S. Hutchins

2017 ◽  
Vol 90 (4) ◽  
pp. 1097-1108 ◽  
Author(s):  
Jerel P. Calzo ◽  
Vickie M. Mays ◽  
Charlotte Björkenstam ◽  
Emma Björkenstam ◽  
Kyriaki Kosidou ◽  
...  

2021 ◽  
Author(s):  
Jennifer M. Jabson Tree ◽  
Jennifer Russomanno ◽  
Marissa Bartmess ◽  
Joel Anderson

Abstract Background Food insecurity is a pressing public health problem. Lesbian, gay, and bisexual (LGB) people are at risk for food insecurity, yet this issue remains grossly understudied among this population. The purpose of this study was to add to the existing literature surrounding food insecurity and the use of Federal food assistance programs (SNAP) among LGB people. Methods This study used publicly available, de-identified data from the 2017 National Health Interview Survey (NHIS). Primary variables were sexual orientation, food security status, and receipt of SNAP. Food security was assessed using the 10-item USDA Family Food Security measure. Results In our sample, people who identified as bisexual had the highest rates of food insecurity (23.8%, n = 76). Female sexual minorities were 52% more likely to experience food insecurity (aOR = 1.518, 95% CI 1.105–2.087, p = .01) and 44% more likely to report household SNAP assistance than their heterosexual counterparts (aOR = 1.441, 95% CI 1.025-2.028, p = .03). SNAP partially mediated the association between sexual orientation and food insecurity for LGB females. Conclusions Our findings add to the growing empirical evidence documenting food insecurities among sexual minority adults. Our results reiterate the need for sexual orientation to be included in nationally representative federal food security measures.


2012 ◽  
Vol 18 (2) ◽  
pp. 100-107 ◽  
Author(s):  
Dawn M. Upchurch ◽  
Bethany K. Wexler Rainisch

This study tested a modification of the Andersen behavioral model of health services use to assess the effects of predisposing factors, enabling resources, need, and personal health practices on the use of complementary and alternative medicine providers, products, and practices in the past 12 months. Data were from the 2007 National Health Interview Survey (n = 23 149 adults). Prevalence estimates and logistic regression results were weighted and adjusted for complex sample design. Overall, 16.6% used providers, 18.8% products, and 22.2% practices. There were significant associations in the expected directions between variables in each domain of the model and each type of complementary and alternative medicine use. There were also notable differences in patterns across types: for example, income was more strongly associated with use of providers. The findings support the potential usefulness of a modified health services approach to better understand differences in types of complementary and alternative medicine use.


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