Predictors of Self-rated Health Status Among Texas Residents
Predictors of Self-rated Health Status Among Texas Residents
复制标题
德克萨斯州居民自评健康状况的预测因素
DOI：
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复制
发表时间：
2005
影响因子：
5.5
通讯作者：
Jimmy M Blanton
中科院分区：
文献类型：
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作者：
L. Phillips;Renee L Hammock;Jimmy M Blanton
简介 本研究的目的是利用当前的 2003 年行为风险因素监测系统数据来调查德克萨斯州成年人自评健康状况的预测因素。自评健康被普遍认为是人口研究中健康状况的有效衡量标准，了解其相关性可能有助于公共卫生专业人员优先考虑健康促进和疾病预防干预措施。方法 本研究解决的两个研究问题涉及自评健康的预测因素：1）“人口特征、医疗保健覆盖范围、休闲时间体力活动和体重指数是否可以预测 18 至 64 岁德克萨斯州居民的自评健康状况？” 2) “访谈语言（英语与西班牙语）的选择是否可以预测 18 至 64 岁德克萨斯州西班牙裔居民的自评健康状况？”确定了关键分析变量，并使用描述性统计来描述主要变量并确定每个变量的受访者数量是否足以进行分析。使用多元回归分析来评估变量。结果 自评健康预测因素的多元逻辑回归分析（控制糖尿病和关节炎）表明，年龄较大、缺乏医疗保健覆盖、缺乏大学教育、西班牙裔、收入较低、肥胖和不锻炼解释了自评健康状况一般和较差差异的 19.4%。访谈语言（英语或西班牙语）、年龄、性别、教育程度、收入、肥胖、健康保险覆盖范围和体力活动（控制慢性病）解释了西班牙裔受访者健康状况一般和较差的差异的 22.8%。结论 这项研究的结果表明，大学教育、较低的体重指数、非西班牙裔和参与体育活动与良好、非常好或优秀的自评健康状况相关。访谈语言显着预测了健康状况良好和较差的结果，这一发现证实了之前的研究，并强调了对医疗保健服务采取文化敏感方法的重要性。
Introduction The purpose of this study was to investigate the predictors of self-rated health status for Texas adults using the current 2003 Behavioral Risk Factor Surveillance System data. Self-rated health is generally accepted as a valid measure of health status in population studies, and understanding its correlates may help public health professionals prioritize health-promotion and disease-prevention interventions. Methods The two research questions addressed by this study involved the predictors of self-rated health: 1) "Do demographic characteristics, health care coverage, leisure-time physical activity, and body mass index predict self-rated health status for Texas residents aged 18 to 64 years?" and 2) "Does choice of interview language (English vs Spanish) predict self-rated health status for Texas residents of Hispanic ethnicity aged 18 to 64 years?" Key analysis variables were identified, and descriptive statistics were used to describe the major variables and determine whether the number of respondents for each variable was sufficient for analysis. Multivariate regression analysis was used to assess the variables. Results Multiple logistic regression analysis (controlling for diabetes and arthritis) of the self-rated health predictors indicated that older age, lack of health care coverage, lack of a college education, being Hispanic, having a lower income, obesity, and not exercising explained 19.4% of the variance of fair and poor self-rated health. The interview language (English or Spanish), age, sex, education, income, obesity, health insurance coverage, and physical activity (controlling for chronic illness) explained 22.8% of the variance in fair and poor self-rated health for Hispanic respondents. Conclusion The results of this study suggest that a college education, a lower body mass index, non-Hispanic ethnicity, and participation in physical activity are associated with good, very good, or excellent self-rated health status. The finding that the interview language significantly predicted fair and poor self-rated health substantiates previous research and emphasizes the importance of culturally sensitive approaches to health care services.
影响因子：
5
作者：
Idler, EL;Benyamini, Y
通讯作者：
Benyamini, Y
DOI：
10.1089/152460900750020919
发表时间：
2000-10-01
期刊：
JOURNAL OF WOMENS HEALTH & GENDER-BASED MEDICINE
影响因子：
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作者：
Hsia, J;Kemper, E;Limacher, M
通讯作者：
Limacher, M
影响因子：
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作者：
Field, AE;Coakley, EH;Colditz, GA
通讯作者：
Colditz, GA