Please use this identifier to cite or link to this item:
https://doi.org/10.3390/ijerph19159195
DC Field | Value | |
---|---|---|
dc.title | Classifying Young Children with Attention-Deficit/Hyperactivity Disorder Based on Child, Parent, and Family Characteristics: A Cross-Validation Study | |
dc.contributor.author | Law, Evelyn | |
dc.contributor.author | Sideridis, Georgios | |
dc.contributor.author | Alkhadim, Ghadah | |
dc.contributor.author | Snyder, Jenna | |
dc.contributor.author | Sheridan, Margaret | |
dc.date.accessioned | 2023-02-21T04:03:26Z | |
dc.date.available | 2023-02-21T04:03:26Z | |
dc.date.issued | 2022-08-01 | |
dc.identifier.citation | Law, Evelyn, Sideridis, Georgios, Alkhadim, Ghadah, Snyder, Jenna, Sheridan, Margaret (2022-08-01). Classifying Young Children with Attention-Deficit/Hyperactivity Disorder Based on Child, Parent, and Family Characteristics: A Cross-Validation Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 19 (15). ScholarBank@NUS Repository. https://doi.org/10.3390/ijerph19159195 | |
dc.identifier.issn | 1661-7827 | |
dc.identifier.issn | 1660-4601 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/237360 | |
dc.description.abstract | 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. | |
dc.language.iso | en | |
dc.publisher | MDPI | |
dc.source | Elements | |
dc.subject | Science & Technology | |
dc.subject | Life Sciences & Biomedicine | |
dc.subject | Environmental Sciences | |
dc.subject | Public, Environmental & Occupational Health | |
dc.subject | Environmental Sciences & Ecology | |
dc.subject | attention-deficit | |
dc.subject | hyperactivity disorder | |
dc.subject | SES | |
dc.subject | preschool | |
dc.subject | DEFICIT HYPERACTIVITY DISORDER | |
dc.subject | LATENT PROFILE ANALYSIS | |
dc.subject | TERM SCHOOL OUTCOMES | |
dc.subject | FOLLOW-UP | |
dc.subject | PSYCHIATRIC-DISORDERS | |
dc.subject | PRESCHOOL-CHILDREN | |
dc.subject | COMORBID SYMPTOMS | |
dc.subject | POPULATION-SAMPLE | |
dc.subject | WORKING-MEMORY | |
dc.subject | ADHD SUBTYPES | |
dc.type | Article | |
dc.date.updated | 2023-02-21T03:56:52Z | |
dc.contributor.department | PAEDIATRICS | |
dc.description.doi | 10.3390/ijerph19159195 | |
dc.description.sourcetitle | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | |
dc.description.volume | 19 | |
dc.description.issue | 15 | |
dc.published.state | Published | |
Appears in Collections: | Staff Publications Elements |
Show simple item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
ijerph-19-09195-v2.pdf | Published version | 711.07 kB | Adobe PDF | OPEN | None | View/Download |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.