Within- and between-individual variation in energy and nutrient intake in japanese adults: Effect of age and sex differences on group size and number of records required foradequate dietary assessment

Journal of Epidemiology

Volumn 23, Issue 3, 2013, Pages 178-186

  Fukumoto, Azusa ^a   Asakura, Keiko ^b   Murakami, Kentaro ^c   Sasaki, Satoshi ^c   Okubo, Hitomi ^a   Hirota, Naoko ^d   Notsu, Akiko ^e   Todoriki, Hidemi ^f   Miura, Ayako ^g   Fukui, Mitsuru ^h   Date, Chigusa ⁱ  

^a UNIVERSITY OF TOKYO   (Japan)

^b KEIO UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

^d MATSUMOTO UNIVERSITY   (Japan)

^e Tottori College   (Japan)

^f UNIVERSITY OF THE RYUKYUS   (Japan)

^g HAMAMATSU UNIVERSITY   (Japan)

^h OSAKA CITY UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

ⁱ UNIVERSITY OF HYOGO   (Japan)

Author keywords

Age; Japanese; Nutrients; Sex; Within and between individual variation

Indexed keywords

ADULT; AGE; AGED; ARTICLE; CALORIC INTAKE; DIET; FEMALE; HUMAN; INDIVIDUALITY; JAPAN; MALE; MEDICAL RECORD; MIDDLE AGED; SEX DIFFERENCE; STATISTICS;

ADULT; AGE FACTORS; AGED; DIET; DIET RECORDS; ENERGY INTAKE; FEMALE; HUMANS; INDIVIDUALITY; JAPAN; MALE; MIDDLE AGED; SEX FACTORS;

MLCS; MLOWN;

EID: 84879911329     PISSN: 09175040     EISSN: 13499092     Source Type: Journal    
DOI: 10.2188/jea.JE20120106     Document Type: Article

References (29)

1. Gibson RS. Principles of nutritional assessment. 2nd ed. New York: Oxford University Press; 2005.
2. Beaton GH, Milner J, Corey P, McGuire V, Cousins M, Stewart E, et al. Sources of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Am J Clin Nutr. 1979;32:2546-59.
3. Willett WC. Nutritional epidemiology. 2nd ed. New York: Oxford University Press; 1998.
4. Tokudome Y, Imaeda N, Nagaya T, Ikeda M, Fujiwara N, Sato J, et al. Daily, weekly, seasonal, within- and between-individual variation in nutrient intake according to four season consecutive 7 day weighed diet records in Japanese female dietitians. J Epidemiol. 2002;12:85-92.
5. Cai H, Shu XO, Hebert JR, Jin F, Yang G, Liu DK, et al. Variation in nutrient intakes among women in Shanghai, China. Eur J Clin Nutr. 2004;58:1604-11.
6. Ribas-Barba L, Serra-Majem L, Román-Viñas B, Ngo J, García- Alvarez A. Effects of dietary assessment methods on assessing risk of nutrient intake adequacy at the population level: from theory to practice. Br J Nutr. 2009;101 Suppl 2:S64-72.
7. Nelson M, Black AE, Morris JA, Cole TJ. Between- and withinsubject variation in nutrient intake from infancy to old age: estimating the number of days required to rank dietary intakes with desired precision. Am J Clin Nutr. 1989;50:155-67.
8. Neuhaus JM, Murphy SP, Davis MA. Age and sex differences in variation of nutrient intakes among U.S. adults. Epidemiology. 1991;2:447-50.
9. Pereira RA, Araujo MC, Lopes Tde S, Yokoo EM. How many 24-hour recalls or food records are required to estimate usual energy and nutrient intake? Cad Saude Publica. 2010;26: 2101-11.
10. Cai H, Yang G, Xiang YB, Hebert JR, Liu DK, Zheng W, et al. Sources of variation in nutrient intakes among men in Shanghai, China. Public Health Nutr. 2005;8:1293-9.
11. Hebert JR, Gupta PC, Mehta H, Ebbeling CB, Bhonsle RR, Varghese F. Sources of variability in dietary intake in two distinct regions of rural India: implications for nutrition study design and interpretation. Eur J Clin Nutr. 2000;54:479-86.
12. Oh SY, Hong MH. Within- and between-person variation of nutrient intakes of older people in Korea. Eur J Clin Nutr. 1999;53:625-9.
13. Mennen LI, Bertrais S, Galan P, Arnault N, Potier de Couray G, Hercberg S. The use of computerised 24 h dietary recalls in the French SU.VI.MAX Study: number of recalls required. Eur J Clin Nutr. 2002;56:659-65.
14. Egami I, Wakai K, Kaitoh K, Kawamura T, Tamakoshi A, Lin Y, et al. Intra- and inter-individual variations in diets of the middleaged and the elderly. Nihon Koshu Eisei Zasshi. 1999;46: 828-37 (in Japanese).
15. Ogawa K, Tsubono Y, Nishino Y, Watanabe Y, Ohkubo T, Watanabe T, et al. Inter- and intra-individual variation of food and nutrient consumption in a rural Japanese population. Eur J Clin Nutr. 1999;53:781-5.
16. Ministry of Public Management, Home Affairs, Posts and Telecommunications. Japan National Census, 2000: Statistical tables according to prefectures, cities, city blocks, and villages, 2000 (in Japanese).
17. Murakami K, Sasaki S, Takahashi Y, Okubo H, Hirota N, Notsu A, et al. Reproducibility and relative validity of dietary glycaemic index and load assessed with a self-administered diet-history questionnaire in Japanese adults. Br J Nutr.2008;99:639-48.
18. Okubo H, Murakami K, Sasaki S, Kim MK, Hirota N, Notsu A, et al. Relative validity of dietary patterns derived from a selfadministered diet history questionnaire using factor analysis among Japanese adults. Public Health Nutr. 2010;13:1080-9.
19. Yamada M, Sasaki S, Murakami K, Takahashi Y, Okubo H, Hirota N, et al. Estimation of trans fatty acid intake in Japanese adults using 16-day diet records based on a food composition database developed for the Japanese population. J Epidemiol. 2010;20:119-27.
20. Kobayashi S, Honda S, Murakami K, Sasaki S, Okubo H, Hirota N, et al. Both comprehensive and brief self-administered diet history questionnaires satisfactorily rank nutrient intakes in Japanese adults. J Epidemiol. 2012;22:151-9.
21. Science and Technology Agency. Standard tables of food composition in Japan, 2010. Tokyo: Ministry of Education, Culture, Sports, Science and Technology; 2010 (in Japanese).
22. Ganpule AA, Tanaka S, Ishikawa-Takata K, Tabata I. Interindividual variability in sleeping metabolic rate in Japanese subjects. Eur J Clin Nutr. 2007;61:1256-61.
23. Ministry of Health, Labour and Welfare of Japan. Dietary reference intakes for Japanese, 2010. Tokyo: Daiichi Shuppan Publishing Co., Ltd.; 2009 (in Japanese).
24. Jahns L, Carriquiry A, Arab L, Mroz TA, Popkin BM. Withinand between-person variation in nutrient intakes of Russian and U.S. children differs by sex and age. J Nutr. 2004;134:3114-20.
25. Manning WG. The logged dependent variable, heteroscedasticity, and the retransformation problem. J Health Econ. 1998;17:283-95.
26. Hunt WC, Leonard AG, Garry PJ, Goodwin JS. Components of variance in dietary data for an elderly population. Nutr Res. 1983;3:433-44.
27. Beaton GH, Milner J, McGuire V, Feather TE, Little JA. Source of variance in 24-hour dietary recall data: implications for nutrition study design and interpretation. Carbohydrate sources, vitamins, and minerals. Am J Clin Nutr. 1983;37:986-95.
28. Owaki A, Takatsuka N, Kawakami N, Shimizu H. Seasonal variations of nutrient intake assessed by 24 hour recall method. Jpn J Nutr Diet. 1996;54:11-8 (in Japanese).
29. Sasaki S, Takahashi T, Iitoi Y, Iwase Y, Kobayashi M, Ishihara J, et al. Food and nutrient intakes assessed with dietary records for the validation study of a self-administered food frequency questionnaire in JPHC Study Cohort I. J Epidemiol. 2003; 13(1 Suppl):S23-50.