Chowdhury Rupak, David Nganwa, Bogale Asseged, Nandy Shami, Habtemariam T, Tameru Berhanu
Center for Computational Epidemiology, Bioinformatics and Risk Analysis (CCEBRA), College of Veterinary Medicine, Nursing and Allied Health (CVMNAH), Tuskegee University, Tuskegee, AL 36088, USA.
J Cancer. 2016 Feb 12;7(5):532-7. doi: 10.7150/jca.12963. eCollection 2016.
African-American (AA) women living in four Black Belt Counties (BBC) of Alabama; consisting of Barbour, Macon, Green and Wilcox are known to have lower mammogram utilization and breast self-exam rates when compared to their white female counterparts. The influence of socioeconomic and demographic factors on these disparities has not been clearly defined so far. Our study was designed to determine whether these observed disparities can be predicted with the socioeconomic and other demographic attributes.
Health Disparity Questionnaires data (n = 516) for BBC of Alabama was analyzed using a logistic regression model to examine the association of breast cancer screening rates and breast self-exam with income, the level of education, family doctor, type of health insurance, obesity, and age.
Income, education, family doctor, age and health insurance were independent predictors for the low utilization rate of mammography and breast self-exam (BSE).
Improving socioeconomic conditions such as level of education and availability of health care are essential to increase the rates of breast cancer screening test and breast self-exam in the BBC of Alabama.
居住在阿拉巴马州四个黑人聚居县(BBC)(包括巴伯县、梅肯县、格林县和威尔科克斯县)的非裔美国(AA)女性,与白人女性相比,其乳房X光检查利用率和乳房自我检查率较低。到目前为止,社会经济和人口因素对这些差异的影响尚未明确界定。我们的研究旨在确定这些观察到的差异是否可以通过社会经济和其他人口属性来预测。
使用逻辑回归模型分析阿拉巴马州BBC的健康差异调查问卷数据(n = 516),以检查乳腺癌筛查率和乳房自我检查与收入、教育水平、家庭医生、医疗保险类型、肥胖和年龄之间的关联。
收入、教育、家庭医生、年龄和医疗保险是乳房X光检查和乳房自我检查(BSE)利用率低的独立预测因素。
改善社会经济状况,如教育水平和医疗保健的可及性,对于提高阿拉巴马州BBC的乳腺癌筛查测试率和乳房自我检查率至关重要。