Calo William A, Vernon Sally W, Lairson David R, Linder Stephen H
Department of Management, Policy and Community Health, The University of Texas School of Public Health, Houston, Texas.
Center for Health Promotion and Prevention Research, The University of Texas School of Public Health, Houston, Texas.
Womens Health Issues. 2016 Mar-Apr;26(2):201-7. doi: 10.1016/j.whi.2015.11.002. Epub 2016 Jan 22.
An emerging literature reports that women who reside in socioeconomically deprived communities are less likely to adhere to mammography screening. This study explored associations between area-level socioeconomic measures and mammography screening among a racially and ethnically diverse sample of women in Texas.
We conducted a cross-sectional, multilevel study linking individual-level data from the 2010 Health of Houston Survey and contextual data from the U.S. Census. Women ages 40 to 74 years (n = 1,541) were included in the analyses. We examined tract-level poverty, unemployment, education, Hispanic and Black composition, female-headed householder families, and crowding as contextual measures. Using multilevel logistic regression modeling, we compared most disadvantaged tracts (quartiles 2-4) to the most advantaged tract (quartile 1).
Overall, 64% of the sample was adherent to mammography screening. Screening rates were lower (p < .05) among Hispanics, those foreign born, women aged 40 to 49 years, and those with low educational attainment, unemployed, and without health insurance coverage. Women living in areas with high levels of poverty (quartile 2 vs. 1: odds ratio [OR], 0.50; 95% CI, 0.30-0.85), Hispanic composition (quartile 3 vs. 1: OR, 0.54; 95% CI, 0.32-0.90), and crowding (quartile 4 vs. 1: OR, 0.53; 95% CI, 0.29-0.96) were less likely to have up-to-date mammography screening, net of individual-level factors.
Our findings highlight the importance of examining area-level socioeconomic inequalities in mammography screening. The study represents an advance on previous research because we examined multiple area measures, controlled for key individual-level covariates, used data aggregated at the tract level, and accounted for the nested structure of the data.
新出现的文献报道称,居住在社会经济贫困社区的女性不太可能坚持进行乳房X光检查筛查。本研究探讨了得克萨斯州种族和族裔多样化的女性样本中,地区层面社会经济指标与乳房X光检查筛查之间的关联。
我们开展了一项横断面多层次研究,将2010年休斯顿健康调查的个体层面数据与美国人口普查的背景数据相联系。分析纳入了40至74岁的女性(n = 1541)。我们将普查区层面的贫困、失业、教育、西班牙裔和黑人构成、女性为户主的家庭以及拥挤程度作为背景指标进行考察。使用多层次逻辑回归模型,我们将最贫困的普查区(四分位数2 - 4)与最富裕的普查区(四分位数1)进行了比较。
总体而言,64%的样本坚持进行乳房X光检查筛查。西班牙裔、外国出生者、40至49岁的女性、教育程度低、失业且无医疗保险覆盖的女性的筛查率较低(p < 0.05)。生活在贫困程度高的地区(四分位数2与1相比:比值比[OR],0.50;95%置信区间,0.30 - 0.85)、西班牙裔构成比例高的地区(四分位数3与1相比:OR,0.54;95%置信区间,0.32 - 0.90)以及拥挤程度高的地区(四分位数4与1相比:OR,0.53;95%置信区间,0.29 - 0.96)的女性,在排除个体层面因素后,进行最新乳房X光检查筛查的可能性较小。
我们的研究结果凸显了在乳房X光检查筛查中考察地区层面社会经济不平等的重要性。该研究是对先前研究的一项推进,因为我们考察了多个地区指标,控制了关键的个体层面协变量,使用了普查区层面汇总的数据,并考虑了数据的嵌套结构。