Integration of Data from NIPPON DATA80/90 and National Nutrition Survey in Japan: For Cohort Studies of Representative Japanese on Nutrition

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 populatio...

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Published inJournal of epidemiology Vol. 20; no. Supplement_III; pp. S506 - S514
Main Authors Okuda, Nagako, Miura, Katsuyuki, Yoshita, Katsushi, Matsumura, Yasuhiro, Okayama, Akira, Nakamura, Yasuyuki, Okamura, Tomonori, Saitoh, Shigeyuki, Sakata, Kiyomi, Ojima, Toshiyuki, Turin, Tanvir Chowdhury, Ueshima, Hirotsugu
Format Journal Article
LanguageEnglish
Published Japan Japan Epidemiological Association 2010
Subjects
Online AccessGet full text
ISSN0917-5040
1349-9092
1349-9092
DOI10.2188/jea.JE20090218

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Abstract 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. 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. 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. 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.
AbstractList 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.
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. 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. 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. 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.
Author Okayama, Akira
Nakamura, Yasuyuki
Okuda, Nagako
Sakata, Kiyomi
Turin, Tanvir Chowdhury
Miura, Katsuyuki
Matsumura, Yasuhiro
Saitoh, Shigeyuki
Yoshita, Katsushi
Ojima, Toshiyuki
Ueshima, Hirotsugu
Okamura, Tomonori
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/20351471$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Contributor Okayama, Akira
Nakamura, Yasuyuki
Matsumura, Yasuhiro
Miura, Katsuyuki
Yoshita, Katsushi
Hayakawa, Takehito
Ueshima, Hirotsugu
Nakagawa, Hideaki
Okamura, Tomonori
Hozawa, Atsushi
Kita, Yoshikuni
Hozawa, Atsuhi
Sakata, Kiyomi
Nakamura, Yoshikazu
Tamakoshi, Koji
Okuda, Nagako
Saitoh, Shigeyuki
Kiyohara, Hiroshi
Kodama, Kazunori
Kiyohara, Yutaka
Ojima, Toshiyuki
Kasagi, Fumiyoshi
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2010 Japan Epidemiological Association. 2010 Japan Epidemiological Association
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Snippet Diet is one of the most important lifestyle factors that a affect healthy life expectancy through onset of various lifestyle-related diseases. Large-scale...
Background: Diet is one of the most important lifestyle factors that a affect healthy life expectancy through onset of various lifestyle-related diseases....
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StartPage S506
SubjectTerms Adult
Amino acids
Cardiovascular Diseases - epidemiology
Cardiovascular Diseases - mortality
Cohort Studies
Correlation coefficient
Data analysis
Databases, Factual
Diet - statistics & numerical data
Dietary fiber
Energy Intake
Feeding Behavior
Female
Food groups
Health Surveys
Humans
Japan - epidemiology
Life expectancy
Life Style
Male
Middle Aged
Nutrients
Nutrition
Nutrition research
Nutrition Surveys
Polls & surveys
Risk Factors
Supplement
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Title Integration of Data from NIPPON DATA80/90 and National Nutrition Survey in Japan: For Cohort Studies of Representative Japanese on Nutrition
URI https://www.ncbi.nlm.nih.gov/pubmed/20351471
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