Literature DB >> 32298420

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

Valeria Edefonti1, Roberta De Vito2,3,4, Andrea Salvatori1, Francesca Bravi1, Linia Patel1, Michela Dalmartello1, Monica Ferraroni1.   

Abstract

Few studies have considered if a posteriori dietary patterns (DPs) are generalizable across different centers or studies, or if they are consistently seen over time. To date, no systematic search of the literature on these topics has been carried out. A scoping review was conducted through a systematic search on the PubMed database. In the current review, we included the 34 articles examining the extent to which a posteriori DPs were consistently seen: 1) across centers from the same study or across different studies potentially representing different populations or countries (here indicated as cross-study reproducibility) and 2) over longer time periods (i.e., ≥2 y) (here indicated as stability over time). Selected articles (published in 1981-2019, 32% from 2010 onwards) were based on observational studies, mostly from Europe and North America. Five articles were based on children and/or adolescents and 14 articles included adults (2 men; 12 women, of whom 3 were pregnant women). A posteriori DPs were mostly derived (32 articles) with principal component or factor analyses. Among the 9 articles assessing DP reproducibility across studies (number of centers/studies: 2-27; median: 3), 5 provided a formal assessment using statistical methods (4 index-based approaches of different complexity, 1 statistical model). A median of 4 DPs was reproduced across centers/studies (range: 1-7). Among the 25 articles assessing DP stability over time (number of time-occasions: 2-6; median: 3), 19 provided a formal assessment with statistical methods (17 index-based and/or test-based approaches, 1 statistical model, 1 with both strategies). The number and composition of DPs remained mostly stable over time. Based on the limited evidence collected, most identified DPs showed good reproducibility across studies and stability over time. However, when present within the single studies, the criteria for the formal assessment of cross-study reproducibility or stability over time were generally very basic.
Copyright © The Author(s) on behalf of the American Society for Nutrition 2020.

Entities:  

Keywords:  a posteriori dietary patterns; cluster analysis; consistency of dietary patterns; cross-study reproducibility of dietary patterns; factor analysis; generalizability of dietary patterns; reproducibility of dietary patterns; reproducibility of dietary patterns across studies; stability of dietary patterns over time

Year:  2020        PMID: 32298420      PMCID: PMC7490165          DOI: 10.1093/advances/nmaa032

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


  49 in total

1.  Association between dietary patterns and plasma biomarkers of obesity and cardiovascular disease risk.

Authors:  T T Fung; E B Rimm; D Spiegelman; N Rifai; G H Tofler; W C Willett; F B Hu
Journal:  Am J Clin Nutr       Date:  2001-01       Impact factor: 7.045

2.  Dietary patterns, approaches, and multicultural perspective.

Authors:  Katherine L Tucker
Journal:  Appl Physiol Nutr Metab       Date:  2010-04       Impact factor: 2.665

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

Authors:  Kentaro Murakami; Nana Shinozaki; Aya Fujiwara; Xiaoyi Yuan; Ayumi Hashimoto; Hitomi Fujihashi; Han-Chieh Wang; M Barbara E Livingstone; Satoshi Sasaki
Journal:  Adv Nutr       Date:  2019-03-01       Impact factor: 8.701

4.  Multi-study factor analysis.

Authors:  Roberta De Vito; Ruggero Bellio; Lorenzo Trippa; Giovanni Parmigiani
Journal:  Biometrics       Date:  2019-03-08       Impact factor: 2.571

5.  Evaluating the Applicability of Data-Driven Dietary Patterns to Independent Samples with a Focus on Measurement Tools for Pattern Similarity.

Authors:  Adela Castelló; Brian Buijsse; Miguel Martín; Amparo Ruiz; Ana M Casas; Jose M Baena-Cañada; Roberto Pastor-Barriuso; Silvia Antolín; Manuel Ramos; Monserrat Muñoz; Ana Lluch; Ana de Juan-Ferré; Carlos Jara; Virginia Lope; María A Jimeno; Esperanza Arriola-Arellano; Elena Díaz; Vicente Guillem; Eva Carrasco; Beatriz Pérez-Gómez; Jesús Vioque; Marina Pollán
Journal:  J Acad Nutr Diet       Date:  2016-06-28       Impact factor: 4.910

6.  Women's dietary patterns change little from before to during pregnancy.

Authors:  Sarah R Crozier; Siân M Robinson; Keith M Godfrey; Cyrus Cooper; Hazel M Inskip
Journal:  J Nutr       Date:  2009-08-26       Impact factor: 4.798

7.  Major patterns of dietary intake in adolescents and their stability over time.

Authors:  Gretchen J Cutler; Andrew Flood; Peter Hannan; Dianne Neumark-Sztainer
Journal:  J Nutr       Date:  2008-12-17       Impact factor: 4.798

8.  Dietary patterns during high school and risk of colorectal adenoma in a cohort of middle-aged women.

Authors:  Katharina Nimptsch; Vasanti S Malik; Teresa T Fung; Tobias Pischon; Frank B Hu; Walter C Willett; Charles S Fuchs; Shuji Ogino; Andrew T Chan; Edward Giovannucci; Kana Wu
Journal:  Int J Cancer       Date:  2013-11-25       Impact factor: 7.396

9.  Longitudinal changes in dietary patterns during adult life.

Authors:  G D Mishra; S A McNaughton; G D Bramwell; M E J Wadsworth
Journal:  Br J Nutr       Date:  2006-10       Impact factor: 3.718

10.  Stability of dietary patterns in young women over a 2-year period.

Authors:  S E Borland; S M Robinson; S R Crozier; H M Inskip
Journal:  Eur J Clin Nutr       Date:  2007-02-14       Impact factor: 4.016

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  3 in total

1.  Dietary patterns and their associations with overweight/obesity among preschool children in Dongcheng District of Beijing: a cross-sectional study.

Authors:  Kaiyuan Min; Jing Wang; Wei Liao; Thomas Astell-Burt; Xiaoqi Feng; Shuya Cai; Yang Liu; Peiwen Zhang; Fenghua Su; Kexin Yang; Liang Sun; Juan Zhang; Lianjun Wang; Zechen Liu; Yu Jiang
Journal:  BMC Public Health       Date:  2021-01-27       Impact factor: 3.295

2.  Are Dietary Patterns Related to Cognitive Performance in 7-Year-Old Children? Evidence from a Birth Cohort in Friuli Venezia Giulia, Italy.

Authors:  Michela Marinoni; Elisa Giordani; Cedric Mosconi; Valentina Rosolen; Federica Concina; Federica Fiori; Claudia Carletti; Alessandra Knowles; Paola Pani; Maura Bin; Luca Ronfani; Monica Ferraroni; Fabio Barbone; Maria Parpinel; Valeria Edefonti
Journal:  Nutrients       Date:  2022-10-07       Impact factor: 6.706

3.  Data-Driven Clustering Approach to Derive Taste Perception Profiles from Sweet, Salt, Sour, Bitter, and Umami Perception Scores: An Illustration among Older Adults with Metabolic Syndrome.

Authors:  Julie E Gervis; Kenneth K H Chui; Jiantao Ma; Oscar Coltell; Rebeca Fernández-Carrión; José V Sorlí; Rocío Barragán; Montserrat Fitó; José I González; Dolores Corella; Alice H Lichtenstein
Journal:  J Nutr       Date:  2021-09-04       Impact factor: 4.687

  3 in total

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