title: Integration of data from NIPPON DATA80/90 and National Nutrition Survey in Japan: for cohort studies of representative Japanese on nutrition.
abstract: BACKGROUND
  Diet is one of the most important lifestyle factors that a affect healthy life expectancy through onset of various lifestyle-related diseases. Large-scale cohort studies with sufficient baseline nutritional information are scarce. NIPPON DATA80/90 is cohort study of representative Japanese population, and the cohorts also participated in the National Nutrition Survey in Japan (NNSJ) at the baseline. The corresponding datasets could be combined.
  
  
  METHODS
  Individual records of NIPPON DATA and NNSJ were compared and integrated. Intakes of nutrients and food groups for individual participants were calculated by distributing intakes in the each household in NNSJ, considering age and sex of the individuals. The results from an international cooperative epidemiological study (INTERMAP) were utilized to estimate intakes of 75 nutrients for NNSJ80 and 70 nutrients for NNSJ90. Nutrient intakes calculated utilizing INTERMAP data were compared with those in the NNSJ datasets.
  
  
  RESULTS
  NIPPON DATA80/90 datasets were enhanced with detailed baseline nutrient intake data (the numbers of participants combined were 10,422 and 8342 for NIPPON DATA80 and 90, respectively). The mean nutrient intakes calculated through utilizing INTEMRAP data and those calculated from the NNSJ datasets were similar, and the calculated values were strongly correlated with those calculated from NNSJ datasets (Pearson's correlation coefficients greater than 0.8 [P < 0.001]). Detailed nutrient intakes (eg, cholesterol, fatty acids, amino acids, and dietary fiber) were complemented.
  
  
  CONCLUSIONS
  The nutrient intakes calculated from NNSJ datasets for the participants of NIPPON DATA are appropriate as the baseline nutrient intake data. The enhanced cohort datasets are suitable for investigations of baseline dietary habits and the consequent health status.
authors.affiliation: Department of Health Science, Shiga University of Medical Science, Otsu, Japan. okuda@belle.shiga-med.ac.jp
authors.forename: Nagako
authors.initials: N
authors.lastname: Okuda
authors.forename: Katsuyuki
authors.initials: K
authors.lastname: Miura
authors.forename: Katsushi
authors.initials: K
authors.lastname: Yoshita
authors.forename: Yasuhiro
authors.initials: Y
authors.lastname: Matsumura
authors.forename: Akira
authors.initials: A
authors.lastname: Okayama
authors.forename: Yasuyuki
authors.initials: Y
authors.lastname: Nakamura
authors.forename: Tomonori
authors.initials: T
authors.lastname: Okamura
authors.forename: Shigeyuki
authors.initials: S
authors.lastname: Saitoh
authors.forename: Kiyomi
authors.initials: K
authors.lastname: Sakata
authors.forename: Toshiyuki
authors.initials: T
authors.lastname: Ojima
authors.forename: Tanvir Chowdhury
authors.initials: TC
authors.lastname: Turin
authors.forename: Hirotsugu
authors.initials: H
authors.lastname: Ueshima
mesh_terms: D000328:Adult; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000401:mortality; D015331:Cohort Studies; D016208:Databases, Factual; D004032:Diet / Q000706:statistics & numerical data*; D002149:Energy Intake; D005247:Feeding Behavior; D005260:Female; D006306:Health Surveys; D006801:Humans; D007564:Japan / Q000453:epidemiology; D008019:Life Style; D008297:Male; D008875:Middle Aged; D009749:Nutrition Surveys; D012307:Risk Factors