Literature DB >> 30785205

A Systematic Review of Principal Component Analysis-Derived Dietary Patterns in Japanese Adults: Are Major Dietary Patterns Reproducible Within a Country?

Kentaro Murakami1, Nana Shinozaki2, Aya Fujiwara2, Xiaoyi Yuan2, Ayumi Hashimoto1, Hitomi Fujihashi2, Han-Chieh Wang2, M Barbara E Livingstone3, Satoshi Sasaki1,2.   

Abstract

Principal component analysis (PCA) has been widely used in nutritional epidemiology to derive dietary patterns. However, although PCA-derived dietary patterns are population-dependent, their reproducibility in different populations is largely unexplored. We aimed to investigate whether major dietary patterns are consistently identified among different populations within a country and, if so, how similar these dietary patterns are. We conducted a systematic review of PCA-derived dietary patterns in Japanese adults using PubMed and Web of Science for English articles and Ichushi-Web and CiNii databases for Japanese articles. We assessed the reproducibility of major dietary patterns using congruence coefficients (CCs), with values ≥0.80 considered to represent fair similarity. From 65 articles (80 studies) included in this review, 285 different dietary patterns were identified. Based on the names of these patterns, major dietary patterns were Western (n = 34), Japanese (n = 12), traditional (n = 10), traditional Japanese (n = 9), healthy (n = 18), and prudent (n = 9) patterns. When assessment was limited to high-quality data (i.e., studies based on a sample size ≥200 and use of a validated dietary assessment questionnaire or multiple-day dietary record), the median CC was low for Western (0.44), traditional (0.59), and traditional Japanese (0.31) patterns. Conversely, the median CC was 0.89 for healthy, 0.86 for prudent, and 0.80 for Japanese patterns; and the proportion of pairs with a CC ≥0.80 was 87.3%, 64.3%, and 50.0%, respectively. Characteristics shared among these 3 dietary patterns included higher intakes of mushrooms, seaweeds, vegetables, potatoes, fruits, pulses, and pickles. In conclusion, this systematic review showed that some of the major dietary patterns are relatively reproducible in different populations within a country, whereas others are not. This highlights the importance of careful interpretation of PCA-derived dietary patterns. Our findings in Japan should be confirmed in different countries and globally. This study was registered at https://www.crd.york.ac.uk/prospero/ as CRD42018087669.
© 2019 American Society for Nutrition.

Entities:  

Keywords:  congruence coefficient; dietary pattern; factor analysis; food consumption pattern; principal component analysis; reproducibility; similarity

Year:  2019        PMID: 30785205      PMCID: PMC6416039          DOI: 10.1093/advances/nmy079

Source DB:  PubMed          Journal:  Adv Nutr        ISSN: 2161-8313            Impact factor:   8.701


  21 in total

1.  Reproducibility of A Posteriori Dietary Patterns across Time and Studies: A Scoping Review.

Authors:  Valeria Edefonti; Roberta De Vito; Andrea Salvatori; Francesca Bravi; Linia Patel; Michela Dalmartello; Monica Ferraroni
Journal:  Adv Nutr       Date:  2020-09-01       Impact factor: 8.701

2.  A cross-sectional study of the associations between the traditional Japanese diet and nutrient intakes: the NILS-LSA project.

Authors:  Shu Zhang; Rei Otsuka; Yasutake Tomata; Hiroshi Shimokata; Chikako Tange; Makiko Tomida; Yukiko Nishita; Sanae Matsuyama; Ichiro Tsuji
Journal:  Nutr J       Date:  2019-07-30       Impact factor: 3.271

3.  Reproducibility of A Non-Quantitative Food Frequency Questionnaire (62-Item FFQ-6) and PCA-Driven Dietary Pattern Identification in 13-21-Year-Old Females.

Authors:  Ewa Niedzwiedzka; Lidia Wadolowska; Joanna Kowalkowska
Journal:  Nutrients       Date:  2019-09-11       Impact factor: 5.717

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.  Reproducibility and Relative Validity of the Healthy Eating Index-2015 and Nutrient-Rich Food Index 9.3 Estimated by Comprehensive and Brief Diet History Questionnaires in Japanese Adults.

Authors:  Kentaro Murakami; M Barbara E Livingstone; Aya Fujiwara; Satoshi Sasaki
Journal:  Nutrients       Date:  2019-10-21       Impact factor: 5.717

6.  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

7.  Data-Driven Dietary Patterns and Diet Quality Scores: Reproducibility and Consistency in Sex and Age Subgroups of Poles Aged 15-65 Years.

Authors:  Joanna Kowalkowska; Lidia Wadolowska; Jolanta Czarnocinska; Grzegorz Galinski; Anna Dlugosz; Dorota Loboda; Magdalena Czlapka-Matyasik
Journal:  Nutrients       Date:  2020-11-24       Impact factor: 5.717

8.  Meal and snack frequency in relation to diet quality in Japanese adults: a cross-sectional study using different definitions of meals and snacks.

Authors:  Kentaro Murakami; Nana Shinozaki; M Barbara E Livingstone; Aya Fujiwara; Keiko Asakura; Shizuko Masayasu; Satoshi Sasaki
Journal:  Br J Nutr       Date:  2020-06-29       Impact factor: 3.718

9.  Sociodemographic and Regional Determinants of Dietary Patterns in Russia.

Authors:  Sergey Maksimov; Natalia Karamnova; Svetlana Shalnova; Oksana Drapkina
Journal:  Int J Environ Res Public Health       Date:  2020-01-03       Impact factor: 3.390

10.  Associations between Dietary Patterns and Cardiometabolic Risks in Japan: A Cross-Sectional Study from the Fukushima Health Management Survey, 2011-2015.

Authors:  Enbo Ma; Tetsuya Ohira; Akira Sakai; Seiji Yasumura; Atsushi Takahashi; Junichiro Kazama; Michio Shimabukuro; Hironori Nakano; Kanako Okazaki; Masaharu Maeda; Hirooki Yabe; Yuriko Suzuki; Kenji Kamiya
Journal:  Nutrients       Date:  2020-01-02       Impact factor: 5.717

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