Kidd Sharon A, Raspa Melissa, Clark Renée, Usrey-Roos Holly, Wheeler Anne C, Liu Jessica A, Wylie Amanda, Sherman Stephanie L
Sharon A. Kidd, University of California, San Francisco.
Melissa Raspa, RTI International.
Am J Intellect Dev Disabil. 2017 Nov;122(6):457-475. doi: 10.1352/1944-7558-122.6.457.
The objectives were to describe the demographic characteristics of children with Fragile X syndrome (FXS) and to determine predictors of attendance at Fragile X (FX) clinics. Findings from the Community Support Network (CSN) and Our Fragile X World (OFXW) samples showed that children who attended FX Clinics were mostly male, high-school aged or younger, and white, non-Hispanic. Using logistic regression models, awareness about FX Clinic services, guardian education, and income (CSN), and child age, family income, and total number of co-occurring conditions (OFXW) were predictors of clinic attendance. Demographic and child characteristics accounted for a large portion of the explained variance. Importantly, symptom severity and parent knowledge about services were independent predictors beyond the demographic characteristics of families.
目的是描述脆性X综合征(FXS)患儿的人口统计学特征,并确定前往脆性X(FX)诊所就诊的预测因素。社区支持网络(CSN)和我们的脆性X世界(OFXW)样本的研究结果表明,前往FX诊所就诊的儿童大多为男性,年龄在高中及以下,且为非西班牙裔白人。使用逻辑回归模型,对FX诊所服务的知晓度、监护人教育程度和收入(CSN),以及儿童年龄、家庭收入和共病总数(OFXW)是诊所就诊的预测因素。人口统计学和儿童特征占解释方差的很大一部分。重要的是,症状严重程度和家长对服务的了解是家庭人口统计学特征之外的独立预测因素。