title: Epidemiology of undernutrition.
abstract: OBJECTIVE
  The present study was undertaken to find out the magnitude of the problem of under nutrition among the children under 5 years of age and also to identify the important factors influencing the nutritional status of the children.
  
  
  METHODS
  30 cluster sampling technique had been applied in the study. A total of 600 children below five years of age were covered. Twenty under five children from each cluster were chosen for the study which was carried out during January to February '97. As per IAP criteria a total of 60.29% children were undernourished and 3.92% were severely undernourished. According to NCHS standard 46.57% & 6.86% children had weight below-2SD and -3SD respectively.
  
  
  RESULTS
  A statistically significant relationship was found between the different age groups and nutritional status of under 5 children. Severe degree of malnutrition had highest prevalence under two years of age. The influence of variables like age, sex, religion, literacy status of parents and morbidity of the children were significantly associated with malnutrition.
  
  
  CONCLUSIONS
  Practice of exclusive breast feeding, introduction of timely complementary feeding, education for maintaining personal hygiene, proper implementation of UIP immunization, periodic deworming, standard case management of diarrhoea and ARI as well as continuation of feeding during illness may reduce malnutrition of under-five children.
authors.affiliation: Department of Community Medicine, Medical College, Kolkata, India.
authors.forename: S K
authors.initials: SK
authors.lastname: Ray
authors.forename: A
authors.initials: A
authors.lastname: Haldar
authors.forename: B
authors.initials: B
authors.lastname: Biswas
authors.forename: R
authors.initials: R
authors.lastname: Misra
authors.forename: S
authors.initials: S
authors.lastname: Kumar
mesh_terms: D017677:Age Distribution; D015362:Child Nutrition Disorders / Q000175:diagnosis* / Q000453:epidemiology*; D002675:Child, Preschool; D016000:Cluster Analysis; D005260:Female; D006801:Humans; D015994:Incidence; D007194:India / Q000453:epidemiology; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D009749:Nutrition Surveys; D009752:Nutritional Status; D018570:Risk Assessment; D012307:Risk Factors; D012494:Sampling Studies; D012720:Severity of Illness Index; D017678:Sex Distribution