Agénor Madina, Krieger Nancy, Austin S Bryn, Haneuse Sebastien, Gottlieb Barbara R
Department of Social and Behavioral Sciences, Harvard School of Public Health, USA.
Department of Social and Behavioral Sciences, Harvard School of Public Health, USA.
Soc Sci Med. 2014 Sep;116:110-8. doi: 10.1016/j.socscimed.2014.06.039. Epub 2014 Jun 26.
Understanding how various dimensions of social inequality shape the health of individuals and populations poses a key challenge for public health. Guided by ecosocial theory and intersectionality, we used data from the 2006-2010 National Survey of Family Growth, a national probability sample, to investigate how one dimension of sexual orientation, sex of sexual partners, and race/ethnicity jointly influence Pap test use among black, Latina and white U.S. women aged 21-44 years (N = 8840). We tested for an interaction between sex of sexual partners and race/ethnicity (p = 0.015) and estimated multivariable logistic regression models for each racial/ethnic group, adjusting for socio-demographic factors. The adjusted odds of Pap test use for women with only female sexual partners in the past year were significantly lower than for women with only male sexual partners in the past year among white women (odds ratio [OR] = 0.25, 95% confidence interval [CI]: 0.12,0.52) and may be lower among black women (OR = 0.32, 95% CI: 0.07,1.52); no difference was apparent among Latina women (OR = 1.54, 95% CI: 0.31,7.73). Further, the adjusted odds of Pap test use for women with no sexual partners in the past year were significantly lower than for women with only male sexual partners in the past year among white (OR = 0.30, 95% CI: 0.22,0.41) and black (OR = 0.23, 95% CI: 0.15,0.37) women and marginally lower among Latina women (OR = 0.63, 95% CI: 0.38,1.03). Adding health care indicators to the models completely explained Pap test use disparities for women with only female vs. only male sexual partners among white women and for women with no vs. only male sexual partners among Latina women. Ecosocial theory and intersectionality can be used in tandem to conceptually and operationally elucidate previously unanalyzed health disparities by multiple dimensions of social inequality.
理解社会不平等的各个维度如何影响个人和人群的健康,是公共卫生领域面临的一项关键挑战。在生态社会理论和交叉性理论的指导下,我们使用了2006 - 2010年全国家庭成长调查的数据(这是一个全国概率样本),来研究性取向的一个维度、性伴侣性别以及种族/族裔如何共同影响年龄在21 - 44岁之间的美国黑人、拉丁裔和白人女性(N = 8840)的巴氏试验使用情况。我们检验了性伴侣性别与种族/族裔之间的交互作用(p = 0.015),并针对每个种族/族裔群体估计了多变量逻辑回归模型,同时对社会人口学因素进行了调整。在过去一年中,过去一年仅有女性性伴侣的白人女性进行巴氏试验的调整后几率显著低于仅有男性性伴侣的白人女性(优势比[OR] = 0.25,95%置信区间[CI]:0.12,0.52),黑人女性中这一几率可能也较低(OR = 0.32,95% CI:0.07,1.52);拉丁裔女性中未观察到明显差异(OR = 1.54,95% CI:0.31,7.73)。此外,在过去一年中,过去一年没有性伴侣的白人女性(OR = 0.30,95% CI:0.22,0.41)和黑人女性(OR = 0.23,95% CI:0.15,0.37)进行巴氏试验的调整后几率显著低于仅有男性性伴侣的女性,拉丁裔女性中这一几率略低(OR = 0.63,95% CI:0.38,1.03)。在模型中加入医疗保健指标后,完全解释了白人女性中仅有女性性伴侣与仅有男性性伴侣的女性之间以及拉丁裔女性中没有性伴侣与仅有男性性伴侣的女性之间在巴氏试验使用上的差异。生态社会理论和交叉性理论可以结合使用,从概念和操作上阐明社会不平等多维度造成的此前未被分析的健康差异。