OBJECTIVES: To assess the magnitude of @entity3147 in a hospital setting and to relate anthropometric measures to the clinical diagnosis of @entity3147 . DESIGN: A descriptive study whereby anthropometric measures (length and weight) were taken of every @entity1 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 @entity1 who were classified as being malnourished, it was recorded if the clinical diagnosis of @entity3147 was made at the time of admission or during the hospital stay. SETTING: Misikhu Mission Hospital, western Kenya. SUBJECTS: Every @entity1 under the age of five years who was admitted to the hospital, was eligible to enter the study. The data of 1130 @entity1 were used. The data of 40 other @entity1 who were admitted in this period were not complete and could therefore not be used. RESULTS: An overall percentage for @entity3147 of 44.3 was found. Only fourteen per cent of the malnourished @entity1 were clinically diagnosed as having @entity3147 . CONCLUSION: Anthropometric measures are an easy, but time-consuming way of identifying @entity1 with @entity3147 , it identifies more @entity1 with @entity3147 than clinical diagnosis alone. Therefore it should be considered to implement standardised anthropometry in a hospital setting.

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@entity1 :: ('9606', 'Species') :: ['child', 'children'] @entity3147 :: ('MESH:D044342', 'Disease') :: ['malnutrition']
@entity3147 :: (MESH:D044342,Disease) :: ['Malnutrition']
