Health and Demographic Factors for Chronic Obstructive Pulmonary Disease Among Hispanic Adults in the United States: Analysis of Behavioral Risk Factor Surveillance System Survey Data.

Brandon Workman, Laura Nabors
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Abstract

Introduction: Appropriate diagnosis and regular primary care appointments are markers of quality chronic obstructive pulmonary disease (COPD) care. Underdiagnosis of COPD has been associated with an absence of health insurance, lower socioeconomic status, and race and ethnicity. Methods: This study examined predictors of COPD using data from the Behavioral Risk Factor Surveillance System (BRFSS, 2021) to provide information for prevention messaging and interventions. Participants included Hispanic adults (n = 17,782) aged 45 years and older. Chi-square tests and a multinomial logistic regression analysis (adjusted with the BRFSS weighting variable) were used to understand how sex, income, health status, smoking behaviors, asthma morbidity, and health insurance coverage were related to having COPD. Results: Patients with poor health, lower income level, current smokers, former smokers, or asthma were more likely to report COPD. Females were more likely to report COPD than males. Patients with COPD were more likely to be without health insurance when compared to those who did not have COPD, indicating unmet medical needs. Conclusion: Studies such as this one, aiming to evaluate the relationship between COPD prevalence and predictors of health and outcomes among Hispanic patients in the United States will remain important for developing health messaging to attenuate disease progression.

美国西班牙裔成年人慢性阻塞性肺病的健康和人口因素:行为危险因素监测系统调查数据分析。
引言:适当的诊断和定期的初级保健预约是高质量慢性阻塞性肺病(COPD)护理的标志。COPD的诊断不足与缺乏医疗保险、社会经济地位低下以及种族和民族有关。方法:本研究使用行为危险因素监测系统(BRFSS,2021)的数据检查了COPD的预测因素,为预防信息和干预措施提供信息。参与者包括西班牙裔成年人(n = 17782),年龄在45岁及以上。卡方检验和多项逻辑回归分析(用BRFSS加权变量调整)用于了解性别、收入、健康状况、吸烟行为、哮喘发病率和健康保险覆盖率与COPD的关系。结果:健康状况不佳、收入水平较低、目前吸烟、以前吸烟或哮喘的患者更有可能报告COPD。女性比男性更有可能报告COPD。与没有COPD的患者相比,COPD患者更有可能没有医疗保险,这表明医疗需求没有得到满足。结论:这类旨在评估美国西班牙裔患者COPD患病率与健康和预后预测因素之间关系的研究,对于开发健康信息以减轻疾病进展仍然很重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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