Literature DB >> 23745792

Sources of variation in nutrient intake and the number of days to assess usual intake among men and women in the Seoul metropolitan area, Korea.

Dong Woo Kim1, Min Kyung Park, Jeongseon Kim, Kyungwon Oh, Hyojee Joung, Jung Eun Lee, Hee Young Paik.   

Abstract

Sources of variation in nutrient intake have been examined for Western diets, but little is known about the sources of variation and their differences by age and sex among Koreans. We examined sources of variation in nutrient intake and calculated the number of days needed to estimate usual intake using 12 d of dietary records (DR). To this end, four 3 d DR including two weekdays and one weekend day were collected throughout four seasons of 1 year from 178 male and 236 female adults aged 20-65 years residing in Seoul, Korea. The sources of variation were estimated using the random-effects model, and the variation ratio (within-individual:between-individual) was calculated to determine a desirable number of days. Variations attributable to the day of the week, recording sequence and seasonality were generally small, although the degree of variation differed by sex and age (20-45 years and 46-65 years). The correlation coefficient between the true intake and the observed intake (r) increased with additional DR days, reaching 0·7 at 3-4 d and 0·8 at 6-7 d. However, the degree of increase became attenuated with additional days: r increased by 13·0-26·9 % from 2 to 4 d, by 6·5-16·4 % from 4 to 7 d and by 4·0-11·6 % from 7 to 12 d for energy and fifteen nutrients. In conclusion, the present study suggests that the day of the week, recording sequence and seasonality minimally contribute to the variation in nutrient intake. To measure Korean usual dietary intake using open-ended dietary instruments, 3-4 d may be needed to achieve modest precision (r>0·7) and 6-7 d for high precision (r>0·8).

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Year:  2013        PMID: 23745792     DOI: 10.1017/S0007114513001554

Source DB:  PubMed          Journal:  Br J Nutr        ISSN: 0007-1145            Impact factor:   3.718


  3 in total

1.  Dietary Intake Patterns Are Consistent Across Seasons in a Cohort of Healthy Adults in a Metropolitan Population.

Authors:  Shanna Bernstein; Kirsten Zambell; Marcelo J Amar; Carolina Arango; Rachel C Kelley; Susan G Miszewski; Samantha Tryon; Amber B Courville
Journal:  J Acad Nutr Diet       Date:  2015-09-14       Impact factor: 4.910

2.  Meal analysis for understanding eating behavior: meal- and participant-specific predictors for the variance in energy and macronutrient intake.

Authors:  Carolina Schwedhelm; Khalid Iqbal; Lukas Schwingshackl; George O Agogo; Heiner Boeing; Sven Knüppel
Journal:  Nutr J       Date:  2019-03-07       Impact factor: 3.271

3.  Actual Daily Intakes of Tea Catechins and Thier Estimation According to Four Season 3 Day Weighed Dietary Records and a Short Food Frequency Questionnaire among Japanese Men and Women

Authors:  Kaori Endoh; Yuji Matsui; Masao Takeshita; Kiyonori Kuriki
Journal:  Asian Pac J Cancer Prev       Date:  2017-10-26
  3 in total

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