The University of North Dakota, Center for Rural Health, School of Medicine & Health Sciences, Grand Forks, North Dakota.
The University of North Dakota, Center for Rural Health, School of Medicine & Health Sciences, 1301 N. Columbia Rd, Stop 9037, Grand Forks, ND 58202. Email:
Prev Chronic Dis. 2018 Mar 22;15:E37. doi: 10.5888/pcd15.170387.
Chronic disease studies have omitted analyses of the American Indian/Alaska Native (AI/AN) population, relied on small samples of AI/ANs, or focused on a single disease among AI/ANs. We measured the influence of income, employment status, and education level on the prevalence of chronic disease among 14,632 AI/AN elders from 2011 through 2014.
We conducted a national survey of AI/AN elders (≥55 y) to identify health and social needs. Using these data, we computed cross-tabulations for each independent variable (annual personal income, employment status, education level), 2 covariates (age, sex), and presence of any chronic disease. We also compared differences in values and used a binary logistic regression model to control for age and sex.
Most AI/AN elders (89.7%) had been diagnosed with at least one chronic disease. AI/AN elders were also more than twice as likely to have diabetes and more likely to have arthritis. AI/AN elders with middle-to-low income levels and who were unemployed were more likely to have a chronic disease than were high-income and employed AI/AN elders.
Addressing disparities in chronic disease prevalence requires focus on more than access to and cost of health care. Economic development and job creation for all age cohorts in tribal communities may decrease the prevalence of long-term chronic diseases and may improve the financial status of the tribe. An opportunity exists to address health disparities through social and economic equity among tribal populations.
慢性疾病研究忽略了对美洲印第安人/阿拉斯加原住民(AI/AN)人群的分析,依赖于 AI/AN 人群的小样本,或者仅关注 AI/AN 人群中的单一疾病。我们测量了收入、就业状况和教育水平对 2011 年至 2014 年间 14632 名 AI/AN 老年人慢性疾病患病率的影响。
我们对 AI/AN 老年人(≥55 岁)进行了一项全国性调查,以确定健康和社会需求。使用这些数据,我们对每个自变量(年收入、就业状况、教育水平)、两个协变量(年龄、性别)和任何慢性疾病的存在进行了交叉表分析。我们还比较了这些值的差异,并使用二元逻辑回归模型来控制年龄和性别。
大多数 AI/AN 老年人(89.7%)至少被诊断出患有一种慢性疾病。AI/AN 老年人患糖尿病的可能性也高出两倍以上,患关节炎的可能性也更高。收入中等偏低且失业的 AI/AN 老年人比高收入和就业的 AI/AN 老年人更有可能患有慢性疾病。
解决慢性疾病患病率的差异需要关注的不仅仅是获得和支付医疗保健的机会。在部落社区中,为所有年龄群体创造经济发展和就业机会可能会降低长期慢性疾病的患病率,并改善部落的财务状况。通过部落人群中的社会和经济公平,可以有机会解决健康差距问题。