Stein R E, Silver E J
Department of Pediatrics, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY 10467, USA.
Arch Pediatr Adolesc Med. 1999 Jan;153(1):68-74. doi: 10.1001/archpedi.153.1.68.
To apply a conceptually based noncategorical definition in the analysis of a nationally representative sample of US children to determine the prevalence and sociodemographic characteristics of US children with chronic conditions.
Data on 30032 children, aged 0 through 17 years, from the 1994 National Health Interview Survey Disability Supplement were analyzed using a noncategorical conceptual definition of chronic conditions and a method that parallels that outlined in the development of the Questionnaire for Identifying Children with Chronic Conditions. We determined the percentages of children with chronic conditions overall and in 3 conceptual domains: (1) functional limitations, (2) dependence on compensatory mechanisms, and (3) service use or need beyond routine care for age.
Content that corresponded to 35 of 39 items on the Questionnaire for Identifying Children with Chronic Conditions assessing consequences was available in the National Health Interview Survey Disability Supplement data set. An estimated 10.3 million children (14.8%) had chronic conditions; 7.0% of the children met enrollment criteria in a single conceptual domain, 5.2% in 2 domains, and 2.6% in all 3 domains. Significant sociodemographic correlates of having a chronic condition were being school-aged or older, male, white, living with a responsible adult with less than a college education, and having a family income below the poverty index (all P<.01).
We established the feasibility of operationalizing a noncategorical conceptual definition by using a large-scale data set and provided an estimate of the prevalence of chronic conditions among US children. We confirmed that several sociodemographic correlates of chronic conditions in samples identified through diagnostic checklists were related to the presence of chronic conditions among these children.
应用基于概念的非分类定义,对具有全国代表性的美国儿童样本进行分析,以确定患有慢性病的美国儿童的患病率及社会人口学特征。
使用慢性病的非分类概念定义以及一种与《慢性病儿童识别问卷》编制过程中概述的方法类似的方法,对来自1994年全国健康访谈调查残疾补充调查的30032名0至17岁儿童的数据进行分析。我们确定了总体上以及在三个概念领域中患有慢性病的儿童的百分比:(1)功能受限;(2)对代偿机制的依赖;(3)超出年龄常规护理的服务使用或需求。
《慢性病儿童识别问卷》中评估后果的39项内容中的35项对应的内容可在全国健康访谈调查残疾补充调查数据集中获得。估计有1030万儿童(14.8%)患有慢性病;7.0%的儿童符合单个概念领域的纳入标准,5.2%符合两个领域的标准,2.6%符合所有三个领域的标准。患有慢性病的显著社会人口学相关因素包括学龄儿童或更大年龄、男性、白人、与受教育程度低于大学的负责成年人生活在一起以及家庭收入低于贫困指数(所有P<0.01)。
我们通过使用大规模数据集确定了实施非分类概念定义的可行性,并提供了美国儿童慢性病患病率的估计值。我们证实,通过诊断清单确定的样本中慢性病的几个社会人口学相关因素与这些儿童中慢性病的存在有关。