Classifying Young Children with Attention-Deficit/Hyperactivity Disorder Based on Child, Parent, and Family Characteristics: A Cross-Validation Study.
Classifying Young Children with Attention-Deficit/Hyperactivity Disorder Based on Child, Parent, and Family Characteristics: A Cross-Validation Study.
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DOI:
10.3390/ijerph19159195
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发表时间:
2022-07-27
影响因子:
--
通讯作者:
Sheridan, Margaret
中科院分区:
文献类型:
--
作者:
Law, Evelyn;Sideridis, Georgios;Alkhadim, Ghadah;Snyder, Jenna;Sheridan, Margaret
We aimed to identify subgroups of young children with differential risks for ADHD, and cross-validate these subgroups with an independent sample of children. All children in Study 1 (N = 120) underwent psychological assessments and were diagnosed with ADHD before age 7. Latent class analysis (LCA) classified children into risk subgroups. Study 2 (N = 168) included an independent sample of children under age 7. A predictive model from Study 1 was applied to Study 2. The latent class analyses in Study 1 indicated preference of a 3-class solution (BIC = 3807.70, p < 0.001). Maternal education, income-to-needs ratio, and family history of psychopathology, defined class membership more strongly than child factors. An almost identical LCA structure from Study 1 was replicated in Study 2 (BIC = 5108.01, p < 0.001). Indices of sensitivity (0.913, 95% C.I. 0.814–0.964) and specificity (0.788, 95% C.I. 0.692–0.861) were high across studies. It is concluded that the classifications represent valid combinations of child, parent, and family characteristics that are predictive of ADHD in young children.
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通讯作者:
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DOI:
10.1073/pnas.1115365109
发表时间:
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DOI:
10.1097/dbp.0b013e3180cabc28
发表时间:
2007-08-01
影响因子:
2.4
作者:
Barbaresi, William J.;Katusic, Slavica K.;Jacobsen, Steven J.
通讯作者:
Jacobsen, Steven J.