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Families with High-risk Characteristics and Diagnoses of Attention-deficit/hyperactivity Disorder, Autism Spectrum Disorder, Intellectual Disability, and Learning Disability in Children: A National Birth Cohort Study

Overview
Journal Front Psychol
Date 2022 Oct 24
PMID 36275285
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Abstract

Background: A national birth cohort study was used to investigate whether high-risk family factors at 1.5-year-olds can increase the risk of attention-deficit/hyperactivity disorder (ADHD) diagnosis when children reach 5.5 years. The pathway relationship of high-risk family factors, children's developmental conditions, risk of autism spectrum disorder (ASD), and diagnosis of intellectual disability (ID), learning disability (LD), and ASD was also investigated.

Methods: The 1.5-, 3- and 5.5-year-old Taiwan Birth Cohort Study (TBCS) dataset was used (N = 19,185). The high-risk familial factor was measured using five questions assessing whether parents are currently unmarried, unemployed, do not have any social insurance, perceive a "very heavy" economic childcare burden, and at least one of the parents has a disability certification. Developmental conditions were assessed using the Taiwan Birth Cohort Study-Developmental Instrument (TBCS-DI), and ASD risk was measured using the Modified Checklist of Autism in Toddlers. Data on ADHD, ID, LD, and ASD diagnoses were collected at age 5.5. The odds ratio model investigated whether children from families with high-risk factors at 1.5-years were at increased risk of ADHD, ID, LD, or ASD diagnosis at 5.5-years, compared to those children from families without such risks. Structural equation modeling investigated the logistic regression pathway relationship of high-risk familial characteristics, children's developmental conditions, autism screening, and diagnosis.

Results: In the national birth cohort dataset of 19,185 children, 2070 (10.8%) met at least one of the high-risk familial factors. Children who met one high-risk familial factor had a 1.21-fold increased risk for ADHD diagnosis, 1.36-fold increased risk for LD diagnosis, and 1.80-fold increased risk for ASD diagnosis, compared to children from families without risks. High-risk familial factors directly increased the risk of ADHD and ID diagnosis, and indirectly increased the risk of ADHD, ID, LD, and ASD diagnosis through the mediating factor of children's development.

Conclusions: Children who met more high-risk familial characteristics were at higher risk of ADHD, ID, LD, and ASD diagnosis. Development at three years was predictive of diagnosis at 5.5 years. Thus, developmental screening at age three is vital for interventions. Preventive, family-focused, and/or child-rearing services for at-risk families are important for improving outcomes for these children and their families.

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References
1.
Ramtekkar U, Reiersen A, Todorov A, Todd R . Sex and age differences in attention-deficit/hyperactivity disorder symptoms and diagnoses: implications for DSM-V and ICD-11. J Am Acad Child Adolesc Psychiatry. 2010; 49(3):217-28.e1-3. PMC: 3101894. View

2.
Karande S, Mehta V, Kulkarni M . Impact of an education program on parental knowledge of specific learning disability. Indian J Med Sci. 2007; 61(7):398-406. View

3.
Mowlem F, Rosenqvist M, Martin J, Lichtenstein P, Asherson P, Larsson H . Sex differences in predicting ADHD clinical diagnosis and pharmacological treatment. Eur Child Adolesc Psychiatry. 2018; 28(4):481-489. PMC: 6445815. DOI: 10.1007/s00787-018-1211-3. View

4.
Chang L, Lin Y, Lin S, Chiang T . Cohort Profile: Taiwan Birth Cohort Study (TBCS). Int J Epidemiol. 2021; 50(5):1430-1431i. DOI: 10.1093/ije/dyab048. View

5.
Lung F, Chiang T, Lin S, Lee M, Shu B . Child developmental screening instrument from six to thirty-six months in Taiwan birth cohort study. Early Hum Dev. 2010; 86(1):17-21. DOI: 10.1016/j.earlhumdev.2009.12.004. View