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In Fig. 3A, B the final pattern formed during the stochastic simulations are shown for circuit 48 and 11. Circuit 48 has an overall pattern score of 62% and nr 11 has an overall score of 34%.
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Among girls, no significant differences between those with lower and higher dietary pattern scores of the healthy pattern were found (Table 3).
With increasing pattern score, the odds of diabetes increased significantly (Ptrend < 0.01).
Two models were constructed to examine the association between dietary pattern score and risk of type 2 diabetes.
We created two types of dietary pattern scores: 1) a set of four PCA-derived dietary patterns each composed of 47 food groups (details previously described [ 17]) and 2) an a priori defined low-risk food pattern score based on the intake of 10 food groups previously associated with risk of type 2 diabetes.
Subjects were categorized based on quintiles of dietary pattern score.
Taken together, all nine food groups explained 72.8% of food pattern score variation.
In the current study, the Western dietary pattern was positively correlated with SSB intakes, and the inclusion of dietary pattern scores in some of our models may have led to overadjustment and attenuation of observed associations with SSB.
However, the association of Southern pattern scores with risk of sepsis differed by race (Pinteraction = 0.01).
Meta-analysis was conducted to evaluate the pooled effects, based on adjusted ORs and 95% CI, by comparing the highest with the lowest categories of dietary pattern scores in each of three selected patterns.
No associations between dietary pattern scores and frequency of lunch at school, cooking skills, overweight prevalence, or the season of the nutrition interview (data not shown) were observed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com