Johnelle Sparks Patrice
Department of Demography and Organization Studies, University of Texas at San Antonio, San Antonio, TX, USA.
J Child Health Care. 2009 Mar;13(1):63-74. doi: 10.1177/1367493508098381.
The purpose of the research presented in this article is to analyze how parents assess their child's health, ranging from excellent to poor. Specifically, it asks how the sociodemographic and health characteristics of infants and parents influence parents' perceptions of their child's health status. The data for this research come from the Early Childhood Longitudinal Study - Birth Cohort (ECLS-B), which are able to address the relationship between sociodemographic covariates and parents' perceptions of their child's health. Binary logistic regression techniques are used in a nested manner to model the way in which parents arrive at a subjective measure of their child's health status. The results indicate that prior diagnoses of health conditions, interaction with the health care system, parents' assessment of their own health and poverty status influence how parents determine their child's health status.
本文所呈现的研究目的是分析父母如何评估孩子的健康状况，范围从极佳到较差。具体而言，该研究探讨了婴儿及其父母的社会人口统计学和健康特征如何影响父母对孩子健康状况的认知。这项研究的数据来自儿童早期纵向研究——出生队列（ECLS - B），该数据能够揭示社会人口统计学协变量与父母对孩子健康认知之间的关系。二元逻辑回归技术以嵌套方式用于模拟父母得出孩子健康状况主观衡量指标的方式。结果表明，先前的健康状况诊断、与医疗保健系统的互动、父母对自身健康的评估以及贫困状况会影响父母确定孩子健康状况的方式。
