title: Malnutrition: more than the eye can see.
abstract: OBJECTIVE
  To assess the magnitude of malnutrition in a hospital setting and to relate anthropometric measures to the clinical diagnosis of malnutrition.
  
  
  METHODS
  A descriptive study whereby anthropometric measures (length and weight) were taken of every child under the age of five years who was admitted to the hospital. The anthropometric data were analysed using the EPI-Info statistical package, which calculates z-scores for weight-for-age, weight-for-height and height-for-age. As reference curve, the reference growth curves of the NCHS were used. Of all the children who were classified as being malnourished, it was recorded if the clinical diagnosis of malnutrition was made at the time of admission or during the hospital stay.
  
  
  METHODS
  Misikhu Mission Hospital, western Kenya.
  
  
  METHODS
  Every child under the age of five years who was admitted to the hospital, was eligible to enter the study. The data of 1130 children were used. The data of 40 other children who were admitted in this period were not complete and could therefore not be used.
  
  
  RESULTS
  An overall percentage for malnutrition of 44.3 was found. Only fourteen per cent of the malnourished children were clinically diagnosed as having malnutrition.
  
  
  CONCLUSIONS
  Anthropometric measures are an easy, but time-consuming way of identifying children with malnutrition, it identifies more children with malnutrition than clinical diagnosis alone. Therefore it should be considered to implement standardised anthropometry in a hospital setting.
authors.affiliation: Misikhu Mission Hospital, P.O. Box 129 Webuye, Kenya.
authors.forename: F C
authors.initials: FC
authors.lastname: van Leth
authors.forename: J M
authors.initials: JM
authors.lastname: Koeleman
authors.forename: A S
authors.initials: AS
authors.lastname: Manya
mesh_terms: D000886:Anthropometry; D002648:Child; D002675:Child, Preschool; D005260:Female; D006761:Hospitals / Q000706:statistics & numerical data; D006801:Humans; D007223:Infant; D007630:Kenya / Q000453:epidemiology; D008297:Male; D009748:Nutrition Disorders / Q000453:epidemiology*; D012720:Severity of Illness Index