title: Global developmental delay and its determinants among urban infants and toddlers: a cross sectional study.
abstract: OBJECTIVE
  To estimate the prevalence of global developmental delay among children under 3 years of age and study the determinant factors.
  
  
  METHODS
  Cross sectional descriptive study was conducted in field practice areas of the Department of Community Medicine, JN Medical College, Aligarh, India. A total of 468 (243 boys and 225 girls) children aged 0-3 years were included. Developmental screening was performed for each child. A multitude of biological and environmental factors were analysed.
  
  
  RESULTS
  As many as 7.1% of the children screened positive for global developmental delay. Maximum delay was observed in the 0-12 months age group (7.0%). Undernutrition and prematurity were the two most prevalent etiological diagnoses (21% each). Stunting and maternal illiteracy were the microenvironmental predictors on stepwise binary logistic regression while prematurity and a history of seizures emerged significant biological predictors.
  
  
  CONCLUSIONS
  Developmental delay can be predicted by specific biological and environmental factors which would help in initiating appropriate interventions.
authors: JN Medical College, AMU, Aligarh, India. sandeepsemail@rediffmail.com
authors: Sandeep
authors: S
authors: Sachdeva
authors: Ali
authors: A
authors: Amir
authors: Seema
authors: S
authors: Alam
authors: Zulfia
authors: Z
authors: Khan
authors: Najam
authors: N
authors: Khalique
authors: M A
authors: MA
authors: Ansari
mesh_terms: D017677:Age Distribution; D000704:Analysis of Variance; D016009:Chi-Square Distribution; D002675:Child, Preschool; D003430:Cross-Sectional Studies; D003906:Developing Countries; D002658:Developmental Disabilities / Q000175:diagnosis* / Q000453:epidemiology*; D005260:Female; D006801:Humans; D015994:Incidence; D007194:India / Q000453:epidemiology; D007223:Infant; D007231:Infant, Newborn; D016015:Logistic Models; D008297:Male; D008403:Mass Screening / Q000379:methods*; D018570:Risk Assessment; D012720:Severity of Illness Index; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014505:Urban Population