Literature DB >> 28904121

Establishment of a Meal Coding System for the Characterization of Meal-Based Dietary Patterns in Japan.

Kentaro Murakami1, M Barbara E Livingstone2, Satoshi Sasaki3.   

Abstract

Background: Most studies on dietary patterns to date have focused on the daily intake of individual foods, rather than the combination of foods simultaneously consumed during specific eating occasions (breakfast, lunch, dinner, and snacks).Objective: We aimed to establish a meal coding system for characterizing meal-based dietary patterns in Japan.
Methods: Dietary data used were from the 2012 National Health and Nutrition Survey, Japan, in which 1-d weighed dietary records were collected from 26,361 adults aged ≥20 y. The food diary was based on a typical Japanese eating pattern, which comprised breakfast, lunch, dinner, and snacks; these eating occasions were prescribed in the diary. A total of 94,439 eating occasions (25,187 breakfasts, 25,888 lunches, 26,248 dinners, and 17,116 snacks) were identified. For all meal types, common food group combinations were identified to produce a range of generic meals. These generic meals were then used in principal components analysis to establish meal patterns.
Results: In total, 94 generic meals (24 breakfasts, 27 lunches, 26 dinners, and 17 snacks) were identified. The most frequently identified food group combination for all 3 main meals was "rice and vegetables" (9 generic meals for breakfast, 12 for lunch, and 16 for dinner), whereas "confectioneries and nonalcoholic and noncaloric beverages" was the most prevalent combination for snacks (3 generic meals). In total, 19 meal patterns were established by using principal components analysis, which accounted for 24.1% of total variance. Patterns ranged considerably with regard to meal-type inclusion and the selection of staple foods (rice, bread, and noodles) and beverages, as well as with regard to meal constituents.Conclusions: With the use of a meal coding system, we identified a wide range of meal-based dietary patterns in Japanese adults. This meal coding system may be useful in capturing and investigating the complex nature of Japanese meals and food combination patterns.
© 2017 American Society for Nutrition.

Entities:  

Keywords:  Japan; food combinations; meal coding; meal patterns; meals

Mesh:

Year:  2017        PMID: 28904121     DOI: 10.3945/jn.117.254896

Source DB:  PubMed          Journal:  J Nutr        ISSN: 0022-3166            Impact factor:   4.798


  13 in total

1.  Generic Meal Patterns Identified by Latent Class Analysis: Insights from NANS (National Adult Nutrition Survey).

Authors:  Irina Uzhova; Clara Woolhead; Claire M Timon; Aifric O'Sullivan; Lorraine Brennan; José L Peñalvo; Eileen R Gibney
Journal:  Nutrients       Date:  2018-03-06       Impact factor: 5.717

2.  Thirteen-Year Trends in Dietary Patterns among Japanese Adults in the National Health and Nutrition Survey 2003⁻2015: Continuous Westernization of the Japanese Diet.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Satoshi Sasaki
Journal:  Nutrients       Date:  2018-07-30       Impact factor: 5.717

3.  The Association of Breakfast Frequency and Cardiovascular Disease (CVD) Risk Factors among Adolescents in Malaysia.

Authors:  Norashikin Mustafa; Hazreen Abd Majid; Zoi Toumpakari; Harriet Amy Carroll; Muhammad Yazid Jalaludin; Nabilla Al Sadat; Laura Johnson
Journal:  Nutrients       Date:  2019-04-28       Impact factor: 6.706

4.  Food Combinations in Relation to the Quality of Overall Diet and Individual Meals in Japanese Adults: A Nationwide Study.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Nana Shinozaki; Minami Sugimoto; Aya Fujiwara; Shizuko Masayasu; Satoshi Sasaki
Journal:  Nutrients       Date:  2020-01-26       Impact factor: 5.717

5.  Application of the Healthy Eating Index-2015 and the Nutrient-Rich Food Index 9.3 for assessing overall diet quality in the Japanese context: Different nutritional concerns from the US.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Aya Fujiwara; Satoshi Sasaki
Journal:  PLoS One       Date:  2020-01-30       Impact factor: 3.240

6.  High starchy food intake may increase the risk of adverse pregnancy outcomes: a nested case-control study in the Shaanxi province of Northwestern China.

Authors:  Liyan Huang; Li Shang; Wenfang Yang; Danyang Li; Cuifang Qi; Juan Xin; Shanshan Wang; Liren Yang; Lingxia Zeng; Mei Chun Chung
Journal:  BMC Pregnancy Childbirth       Date:  2019-10-21       Impact factor: 3.007

7.  Using food network analysis to understand meal patterns in pregnant women with high and low diet quality.

Authors:  Carolina Schwedhelm; Leah M Lipsky; Grace E Shearrer; Grace M Betts; Aiyi Liu; Khalid Iqbal; Myles S Faith; Tonja R Nansel
Journal:  Int J Behav Nutr Phys Act       Date:  2021-07-23       Impact factor: 6.457

8.  Applying a meal coding system to 16-d weighed dietary record data in the Japanese context: towards the development of simple meal-based dietary assessment tools.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Satoshi Sasaki; Naoko Hirota; Akiko Notsu; Ayako Miura; Hidemi Todoriki; Mitsuru Fukui; Chigusa Date
Journal:  J Nutr Sci       Date:  2018-11-13

9.  Breakfast in Japan: Findings from the 2012 National Health and Nutrition Survey.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Aya Fujiwara; Satoshi Sasaki
Journal:  Nutrients       Date:  2018-10-19       Impact factor: 5.717

10.  The Association between Milk and Dairy Products Consumption and Nutrient Intake Adequacy among Japanese Adults: Analysis of the 2016 National Health and Nutrition Survey.

Authors:  Aki Saito; Emiko Okada; Iori Tarui; Mai Matsumoto; Hidemi Takimoto
Journal:  Nutrients       Date:  2019-10-03       Impact factor: 5.717

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