title: Within- and between-person variation of nutrient intakes of older people in Korea.
abstract: OBJECTIVE
  (i) To examine the components of variation in nutrient intakes for older Korean adults; (ii) To calculate the level of accuracy with varying degree of precision in order to achieve estimates of usual nutrient intakes.
  
  
  METHODS
  Five or six 24 h recalls were made over a four month period on each individual.
  
  
  METHODS
  A senior school from a middle-income, urban community in Inchon, Korea.
  
  
  METHODS
  Forty-seven males and 36 females over 60 y old with complete records for at least five dietary recalls.
  
  
  RESULTS
  The within-person variation of nutrient intakes (21.8-103.2%) was higher and differed more markedly by nutrients than the between-person variation (9.4-63.7%). Males (2.26-11.28) showed larger within-to-between person variance ratios than females (1.73-5.86). The variance ratios were different by nutrients for males, but no such pattern was observed for females. Depending on nutrients, 5-6 recalls over a four month period gave estimates of nutrient intakes within 30-50% of usual intakes. For most nutrients, 100-200 subjects were sufficient to obtain estimates with 10% deviation of group usual intakes. Achieving r=0.9 between observed and usual intakes required 24-54 recalls for males and 8-23 recalls for females.
  
  
  CONCLUSIONS
  The degree of precision achieved during assessment of older Korean adults' usual nutrient intakes changes with gender and by the type of nutrients. Achieving similar level of accuracy of the estimates, older Korean adults may require more dietary recalls than the adults in western countries.
authors.affiliation: Department of Food and Nutrition, Kyung Hee University, Seoul, Korea.
authors.forename: S Y
authors.initials: SY
authors.lastname: Oh
authors.forename: M H
authors.initials: MH
authors.lastname: Hong
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D015930:Diet Records; D004812:Epidemiologic Methods; D005247:Feeding Behavior; D005260:Female; D006801:Humans; D007723:Korea / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D015596:Nutrition Assessment; D009749:Nutrition Surveys; D012737:Sex Factors