Gender and Racial/Ethnic Disparities: Cumulative Screening of Health Risk Indicators in 20-50 Year Olds in the United States.

Alissa Cordner, Adrien A Wilkie, Timothy J Wade, Edward E Hudgens, Rebecca J Birch, Jane E Gallagher
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Abstract

This study explored potential gender and racial/ethnic disparities in overall health risk related to 24 health risk indicators selected across six domains: socioeconomic, health status and health care, lifestyle, nutritional, clinical, and environmental. Using the 2003-2006 National Health and Nutrition Examination Surveys (NHANES), it evaluated cross-sectional data for 5,024 adults in the United States. Logistic regression models were developed to estimate prevalence odds ratios (PORs) adjusted for smoking, health insurance status, and age. Analyses evaluated disparities associated with 24 indicator variables of health risk, comparing females to males and four racial/ethnic groups to non-Hispanic Whites. Non-Hispanic Blacks and Mexican Americans were at greater risk for at least 50% of the 24 health risk indicators, including measures of socioeconomic status, health risk behaviors, poor/fair self-reported health status, multiple nutritional and clinical indicators, and blood lead levels. This demonstrates that cumulative health risk is unevenly distributed across racial/ethnic groups. A similarly high percentage (46%) of the risk factors was observed in females. Females as compared to males were more likely to have lower income, lower blood calcium, poor/fair self-reported health, more poor mental health days/month, higher medication usage and hospitalizations, and higher serum levels of some clinical indicators and blood cadmium. This analysis of cumulative health risk is responsive to calls for broader-based, more integrated assessment of health disparities that can help inform community assessments and public health policy.

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性别和种族/民族差异:美国20-50岁人群健康风险指标的累积筛查
本研究探讨了与社会经济、健康状况和医疗保健、生活方式、营养、临床和环境等六个领域的24项健康风险指标相关的总体健康风险的潜在性别和种族/民族差异。利用2003-2006年全国健康和营养检查调查(NHANES),它评估了5024名美国成年人的横断面数据。建立了Logistic回归模型来估计吸烟、健康保险状况和年龄调整后的患病率优势比(por)。分析评估了与24个健康风险指标变量相关的差异,将女性与男性和四个种族/族裔群体与非西班牙裔白人进行了比较。非西班牙裔黑人和墨西哥裔美国人在24项健康风险指标中至少有50%的风险更高,包括社会经济地位、健康风险行为、不良/公平的自我报告健康状况、多种营养和临床指标以及血铅水平。这表明,累积的健康风险在种族/族裔群体中分布不均。在女性中观察到同样高的风险因素百分比(46%)。与男性相比,女性更有可能收入较低、血钙较低、自我报告的健康状况较差/一般、心理健康状况较差的天数/月较多、药物使用和住院次数较多,以及某些临床指标和血镉的血清水平较高。这种对累积健康风险的分析响应了对健康差异进行基础更广泛、更综合的评估的呼吁,这有助于为社区评估和公共卫生政策提供信息。
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