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Intellectual disability in Indian children: experience with a stratified approach for etiological diagnosis
Silky Jain1, Veena Chowdhury, Monica Juneja
1Departments of Pediatrics and *Radio diagnosis, Maulana Azad Medical College, and #Department of Pediatrics, All India Institute of Medical Sciences; New Delhi, India. Correspondence to: Dr Seema Kapoor, Professor, Department of Pediatrics, Maulana Azad Medical College, New Delhi 110 002, India. drseemakapoor@gmail.com.
Insights
This study investigated the causes of intellectual disability in children using a structured approach. Genetic factors were the most common cause, identified in over 60% of cases, highlighting the importance of genetic testing.
Area of Science:
- Pediatric Neurology
- Clinical Genetics
- Developmental Pediatrics
Background:
- Intellectual disability (ID) is a significant developmental concern in children.
- Accurate etiological diagnosis is crucial for management and genetic counseling.
- An algorithmic approach can optimize diagnostic yield in children with ID.
Purpose of the Study:
- To determine the clinico-etiological profile of children with intellectual disability.
- To evaluate the effectiveness of an algorithmic diagnostic approach for ID in children.
- To identify the prevalence of different etiological categories contributing to ID.
Main Methods:
- A cross-sectional study was conducted on 101 children aged 3 months to 12 years with confirmed intellectual disability.
- A structured proforma was used for assessment, followed by a targeted diagnostic schema including biochemical, audiological, neurological, and neuroimaging investigations.
- Genetic testing encompassed karyotyping, Fragile X molecular studies, MLPA, and Array CGH.
Main Results:
- The etiological yield was 82.1%, with genetic causes being the most frequent (61.4%).
- Other identified causes included perinatal (20.4%), CNS malformations (12%), prenatal (3.6%), and postnatal (2.4%).
- Intellectual disability severity ranged from mild (11.7%) to profound (35.6%).
Conclusions:
- A judicious and sequential diagnostic approach can ascertain the etiology in the majority of children with intellectual disability.
- Genetic testing plays a pivotal role in identifying the cause of intellectual disability.
- Early and accurate diagnosis facilitates appropriate intervention and family support.
Objective:
To study the clinico-etiological profile of children with intellectual disability using an algorithmic approach.
Design:
Cross-sectional study.
Setting:
Tertiary care centre in Northern India.
Participants:
Consecutive children aged 3 months to 12 years, presenting with intellectual disability, confirmed by Developmental Assessment Scale for Indian Infants, Binet Kulshreshtha Test and Vineland Social Maturity Scale.
Methods:
All children were assessed on an internally validated structured proforma. A targeted approach included thyroid function tests, Brainstem evoked response audiometry, electroencephalogram, neuroimaging and metabolic screen done as a pre-decided schema. Genetic tests included karyotyping, molecular studies for Fragile X, Multiplex Ligation Dependent Probe Amplification and Array Comparative Genomic Hybridisation.
Results:
Data of 101 children (median age 22 months) was analyzed. The etiological yield was 82.1% with genetic causes being the most common (61.4%) followed by perinatal acquired (20.4%), CNS malformations (12%), external prenatal (3.6%), and postnatal acquired (2.4%). Mild delay was seen in 11.7%, moderate in 21.7%, severe in 30.6% and profound in 35.6%
Conclusions:
It is possible to ascertain the diagnosis in most of the cases of intellectual disability using a judicious and sequential battery of tests.
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