2020
DOI: 10.3390/nu12123598
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Data-Driven Dietary Patterns and Diet Quality Scores: Reproducibility and Consistency in Sex and Age Subgroups of Poles Aged 15–65 Years

Abstract: This study aimed to assess: (i) the test–retest reproducibility of identification of data-driven dietary patterns (DPs) derived using a Principal Component Analysis (PCA) and hypothesis-driven DPs (diet quality scores); (ii) the consistency of data-driven DPs with diet quality scores in sex and age subgroups of Poles aged 15–65 years. The study involved 504 subjects (55.6% of females). Data on food consumption frequency (33 food items) were collected twice with a two-week interval using the Dietary Habits and … Show more

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Cited by 15 publications
(16 citation statements)
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References 57 publications
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“…Lower adherence to the “Han diet” and “Out-sourced diet” pattern was associated with age ≥51 years, while the same age group had higher adherence with the “local traditional diet” pattern. Even so, we did not find other dietary patterns (i.e., “vegetable-based”, “Western” or “prudent”) with adherence to the older group referred in other studies with older adults [ 1 , 18 , 29 ]. The relationship between age and dietary patterns is controversial.…”
Section: Discussioncontrasting
confidence: 86%
See 1 more Smart Citation
“…Lower adherence to the “Han diet” and “Out-sourced diet” pattern was associated with age ≥51 years, while the same age group had higher adherence with the “local traditional diet” pattern. Even so, we did not find other dietary patterns (i.e., “vegetable-based”, “Western” or “prudent”) with adherence to the older group referred in other studies with older adults [ 1 , 18 , 29 ]. The relationship between age and dietary patterns is controversial.…”
Section: Discussioncontrasting
confidence: 86%
“…Analyzing dietary patterns (rather than foods or nutrients) has been recommended as an effective method for studying diet and its relationship to health due to the complex interaction between different food components [ 26 , 27 ]. Dietary patterns can be derived using an a priori (hypothesis-driven) [ 28 ] or an a posteriori (data-driven) approach [ 18 , 29 , 30 ]. Although data-driven dietary patterns may not be as polarized as hypothesis-driven dietary patterns, they can more accurately reflect actual eating habits as combinations of food consumed in different groups of the population, rather than relying on current knowledge [ 18 ].…”
Section: Discussionmentioning
confidence: 99%
“…It can be explained because the reproducibility compares the same instruments (FFQ), and the validity compares two different methods FFQ and RA. Our data report concordance similarities with other studies of the same nature 28,29 ; the discordant data presented low percentages, showing for reproducibility 13.5% for polyunsaturated fat and 7.8% for magnesium and validity of 18.9% for omega 3 and 8.5% for magnesium.…”
Section: Discussionsupporting
confidence: 90%
“…Validated Dietary Habits and Nutrition Beliefs Questionnaire (KomPAN) was used to assess the frequency of consumption of 33 food items over the past year, with frequency consumption of items evaluated in six categories, i.e., from 'never' (1) to 'a few times a day' (6) [24]. For each food item, the frequency categories were converted to values reflecting daily consumption frequency (range: 0-2 times/day).…”
Section: Dietary Assessmentmentioning
confidence: 99%