Differences in asthma prevalence between samples of American Indian and Alaska Native children.

Differences in asthma prevalence between samples of American Indian and Alaska Native children.
复制标题

美洲印第安人和阿拉斯加原住民儿童样本之间哮喘患病率的差异。

DOI:
10.1093/phr/116.1.51
复制
发表时间:
2001
期刊:
Public health reports (Washington, D.C. : 1974)
影响因子:
--
通讯作者:
Gergen,PJ
Gergen,PJ
中科院分区:
--
文献类型:
--
作者:
Stout,JW;White,LC;Redding,GJ;Morray,BH;Martinez,PE;Gergen,PJ

文献摘要

相似文献

目的:为了更好地了解美国印第安人和阿拉斯加原住民(AI/AN)儿童哮喘的患病率,并探索哮喘症状和诊断分配的区域贡献,作者调查了AI/AN中学生,比较了来自大都市塔科马、华盛顿(华盛顿都市)和阿拉斯加非大都市地区(非大都市AK)的反应。作者比较了147名11-16岁儿童的自我报告的哮喘症状、哮喘诊断和卫生保健利用率,这些儿童自我报告为华盛顿特区的AI/AN和365名非华盛顿特区的AK。但报告接受过哮喘医生诊断的西澳大都市受访者的百分比显著高于非西澳大都市受访者(OR 2.33; 95% CI 1.23,4.39)。受访者的百分比谁报告访问了医疗服务提供者的哮喘样症状,在过去的year.Conclusions没有显着差异。尽管哮喘症状和哮喘相关的医疗访问率相似,但哮喘诊断率的差异可能反映了呼吸系统疾病模式,诊断标签的做法,或环境因素的差异。未来描述哮喘患病率的尝试应考虑非生物因素(如诊断实践)的潜在贡献。
Objectives.To better understand the prevalence of asthma among American Indian and Alaska Native (AI/AN) children and to explore the contribution of locale to asthma symptoms and diagnostic assignment, the authors surveyed AI/AN middle school students, comparing responses from metropolitan Tacoma, Washington (metro WA) and a non-metropolitan area of Alaska (non-metro AK).Methods.Students in grades 6–9 completed an asthma screening survey. The authors compared self-reported rates of asthma symptoms, asthma diagnoses, and health care utilization for 147 children ages 11–16 self-reporting as AI/AN in metro WA and 365 in non-metro AK.Results.The prevalences of self-reported asthma symptoms were similar for the metro WA and non-metro AK populations, but a significantly higher percentage of metro WA than of non-metro AK respondents reported having received a physician diagnosis of asthma (OR 2.33; 95% CI 1.23, 4.39). The percentages of respondents who reported having visited a medical provider for asthma-like symptoms in the previous year did not differ.Conclusions.The difference in rates of asthma diagnosis despite similar rates of asthma symptoms and respiratory-related medical visits may reflect differences in respiratory disease patterns, diagnostic labeling practices, or environmental factors. Future attempts to describe asthma prevalence should consider the potential contribution of non-biologic factors such as diagnostic practices.