Effects of Regional Income, Race, and Educational Level on Incidence of Diabetes and Heart Disease in Ohio

James R. Bolchalk, Sangeeta Gupta
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Abstract

Background: Socioeconomic factors such as income, education, race, age, and weight are thought to be contributing factors for the incidence of chronic diseases such as diabetes and cardiovascular disease. Diabetes and cardiovascular disease are not only serious health complications but also cause significant financial burden to the health care system, both in Ohio and the US. This study seeks to examine the relationship of these socioeconomic factors to the prevalence of these 2 diseases in Ohio using the data available from Behavioral Risk Factor Surveillance Systems (BRFSS). Methods: Fourteen regions in Ohio were analyzed using logistic regression for socioeconomic impacts on diabetes and cardiovascular disease. Data for this study were obtained from the Behavioral Risk Factor Surveillance Systems (BRFSS) for the years 2011 through 2018. Results: Our results indicate that a strong relationship exists between age and weight with both diabetes and cardiovascular disease in all 14 regions of Ohio, as expected. However, the contribution of the other socioeconomic factors, except income and education levels, is less certain. Conclusion: This study suggests that besides promoting public health programs that focus on weight and age, effort should be made to evolve strategies promoting increased levels of income augmentation in the population.
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俄亥俄州地区收入、种族和教育水平对糖尿病和心脏病发病率的影响
背景:收入、教育、种族、年龄和体重等社会经济因素被认为是糖尿病和心血管疾病等慢性疾病发病率的促成因素。在俄亥俄州和美国,糖尿病和心血管疾病不仅是严重的健康并发症,而且会给医疗保健系统带来巨大的经济负担。本研究试图利用行为风险因素监测系统(BRFSS)提供的数据,检验这些社会经济因素与俄亥俄州这两种疾病患病率的关系。方法:使用逻辑回归分析俄亥俄州14个地区对糖尿病和心血管疾病的社会经济影响。本研究的数据来自2011年至2018年的行为风险因素监测系统(BRFSS)。结果:我们的研究结果表明,正如预期的那样,俄亥俄州所有14个地区的年龄和体重与糖尿病和心血管疾病之间存在着密切的关系。然而,除收入和教育水平外,其他社会经济因素的贡献不太确定。结论:这项研究表明,除了促进以体重和年龄为重点的公共卫生计划外,还应努力制定促进人口收入增加水平的战略。
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