Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5959
Title: Are Major a Posteriori Dietary Patterns Reproducible in the Italian Population? A Systematic Review and Quantitative Assessment
Authors: Bianco, Rachele
Speciani, Michela C
Parpinel, Maria
Tesi, Matteo
Ferraroni, Monica
Edefonti, Valeria
Keywords: congruence coefficient
cross-study reproducibility of dietary patterns
a posteriori dietary patterns
factor analysis
generalizability of dietary patterns
Italy
principal component analysis
similarity of dietary patterns across studies
systematic review
Issue Date: 2024
Publisher: Advances in Nutrition
Series/Report no.: Review;100165
Abstract: Although a posteriori dietary patterns (DPs) naturally reflect actual dietary behavior in a population, their specificity limits generalizability. Among other issues, the absence of a standardized approach to analysis have further hindered discovery of genuinely reproducible DPs across studies from the same/similar populations. A systematic review on a posteriori DPs from principal component analysis or exploratory factor analysis (EFA) across study populations from Italy provides the basis to explore assessment and drivers of DP reproducibility in a case study of epidemiological interest. First to our knowledge, we carried out a qualitative (i.e., similarity plots built on text descriptions) and quantitative (i.e., congruence coefficients, CCs) assessment of DP reproducibility. The 52 selected articles were published in 2001–2022 and represented dietary habits in 1965–2022 from 70% of the Italian regions; children/adolescents, pregnancy/breastfeeding women, and elderly were considered in 15 articles. The included studies mainly derived EFA-based DPs on food groups from food frequency questionnaires and were of “good quality” according to standard scales. Based on text descriptions, the 186 identified DPs were collapsed into 113 (69 food-based and 44 nutrient-based) apparently different DPs (39.3% reduction), later summarized along with the 3 “Mixed-Salad/ Vegetable-based Patterns,” “Pasta-and-Meat-oriented/Starchy Patterns,” and “Dairy Products” and “Sweets/Animal-based Patterns” groups, by matching similar food-based and nutrient-based groups of collapsed DPs. Based on CCs (215 CCs, 68 DPs, 18 articles using the same input lists), all pairs of DPs showing the same/similar names were at least “fairly similar” and ~81% were “equivalent.” The 30 “equivalent” DPs ended up into 6 genuinely different DPs (80% reduction) that targeted fruits and (raw) vegetables, pasta and meat combined, and cheese and deli meats. Such reduction reflects the same study design, list of input variables, and DP identification method followed across articles from the same groups. This review was registered at PROSPERO as CRD42022341037.
URI: http://localhost:8080/xmlui/handle/123456789/5959
Appears in Collections:VOL 15 NO 2 (2024)

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