Error Sources in Data Handling Process of the National Nutrition Survey, Japan, and Possible Measures for Lessening the Errors.

  • YOSHIIKE Nobuo
    Division of Adult Health and Nutrition, National Institute of Health and Nutrition
  • IWAYA Mayuko
    Institute of Applied Biochemistry, University of Tsukuba
  • OTANI Yatsuho
    Community Health, Health Promotion and Nutrition Division, The Ministry of Health and Welfare
  • INOUE Koichi
    Community Health, Health Promotion and Nutrition Division, The Ministry of Health and Welfare
  • KAWANO Miho
    Community Health, Health Promotion and Nutrition Division, The Ministry of Health and Welfare
  • SEINO Fukue
    Community Health, Health Promotion and Nutrition Division, The Ministry of Health and Welfare
  • MATSUMURA Yasuhiro
    Division of Adult Health and Nutrition, National Institute of Health and Nutrition
  • YAMAGUCHI Momoko
    Division of Adult Health and Nutrition, National Institute of Health and Nutrition

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Other Title
  • 国民栄養調査のデータ処理過程における過誤とその対策
  • コクミン エイヨウ チョウサ ノ データ ショリ カテイ ニ オケル カゴ ト

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The National Nutrition Survey estimates the average dietary intake per capita on the basis of household food consumption data. Dietitians at local public health centers manually execute the coding of food names, the total amount consumed, and the proportion shared by family members to compute the nutrient intake of individual subjects. The coded data are then checked and corrected by other dietitians at prefectural departments. We examined sources of error in both procedures, and described the frequency of errors and their effect on the calculation of energy and nutrient intake by using a sub-sample of 132 households, including 445 family members, surveyed in 1995. The errors in coding the foods and the total amount consumed, including no-coding for a specified food, occurred at 1.61 per household, and those in coding the proportion shared by family members were 0.19 at the public health center level. The frequencies for prefectural departments were 1.57 and 0.16 per household, respectively. This suggests that the present data-handling procedures are not satisfactory. In conclusion, we recommend that a new system for coding and data entry using personal computer software should be adapted by public health centers. Such a system should have automatic error checking procedures by incorporating a food code list and establishing upper limits for the acceptable values for each food.

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