Modeling the Phenotypic Architecture of Autism Symptoms from Time of Diagnosis to Age 6

被引:22
作者
Georgiades, Stelios [1 ]
Boyle, Michael [1 ]
Szatmari, Peter [2 ]
Hanna, Steven [1 ]
Duku, Eric [1 ]
Zwaigenbaum, Lonnie [3 ]
Bryson, Susan [4 ]
Fombonne, Eric [5 ]
Volden, Joanne [3 ]
Mirenda, Pat [6 ]
Smith, Isabel [4 ]
Roberts, Wendy [7 ]
Vaillancourt, Tracy [8 ]
Waddell, Charlotte [9 ]
Bennett, Teresa [1 ]
Elsabbagh, Mayada [5 ]
Thompson, Ann [1 ]
机构
[1] McMaster Univ, Offord Ctr Child Studies, Hamilton, ON L8S 4L8, Canada
[2] Univ Toronto, Hosp Sick Children, Ctr Addict & Mental Hlth, Toronto, ON M5G 1X8, Canada
[3] Univ Alberta, Edmonton, AB, Canada
[4] Dalhousie Univ, IWK Hlth Ctr, Halifax, NS, Canada
[5] McGill Univ, Montreal, PQ, Canada
[6] Univ British Columbia, Vancouver, BC V5Z 1M9, Canada
[7] Univ Toronto, Toronto, ON, Canada
[8] Univ Ottawa, Ottawa, ON, Canada
[9] Simon Fraser Univ, Vancouver, BC, Canada
基金
加拿大健康研究院;
关键词
Autism symptoms; Classification; Phenotypic heterogeneity; SPECTRUM DISORDERS; DSM-5; CRITERIA; HETEROGENEITY; CLASSIFICATION; BEHAVIOR; CHILDREN;
D O I
10.1007/s10803-014-2167-x
中图分类号
B844 [发展心理学(人类心理学)];
学科分类号
040202 ;
摘要
The latent class structure of autism symptoms from the time of diagnosis to age 6 years was examined in a sample of 280 children with autism spectrum disorder. Factor mixture modeling was performed on 26 algorithm items from the Autism Diagnostic Interview - Revised at diagnosis (Time 1) and again at age 6 (Time 2). At Time 1, a "2-factor/3-class" model provided the best fit to the data. At Time 2, a "2-factor/2-class" model provided the best fit to the data. Longitudinal (repeated measures) analysis of variance showed that the "2-factor/3-class" model derived at the time of diagnosis allows for the identification of a subgroup of children (9 % of sample) who exhibit notable reduction in symptom severity.
引用
收藏
页码:3045 / 3055
页数:11
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