2022
DOI: 10.1016/j.numecd.2021.10.008
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Dietary pattern derived by reduced-rank regression and cardiovascular disease: A cross-sectional study

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Cited by 12 publications
(6 citation statements)
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“…Although the variations of nutrients as more proximal response variables versus biomarkers can be substantially explained, it may violate the independence assumption for response variables when using predictors (food groups) and response variables from dietary assessment tools simultaneously [ 26 ]. Compared to 11.2% variation in response variables of our study, we noticed that previous studies also displayed low variations ranging from 1.7% to 4.2% [ 27 29 ] using biomarkers as response variables for RRR. Previous studies showed consistent results on certain cancer sites.…”
Section: Discussioncontrasting
confidence: 83%
“…Although the variations of nutrients as more proximal response variables versus biomarkers can be substantially explained, it may violate the independence assumption for response variables when using predictors (food groups) and response variables from dietary assessment tools simultaneously [ 26 ]. Compared to 11.2% variation in response variables of our study, we noticed that previous studies also displayed low variations ranging from 1.7% to 4.2% [ 27 29 ] using biomarkers as response variables for RRR. Previous studies showed consistent results on certain cancer sites.…”
Section: Discussioncontrasting
confidence: 83%
“…NP1 explained 9.5% of the variation in genetically adjusted PC1 and 0.01% of the variation of genetically adjusted PC2, so this nutrient pattern may be measuring a diet that promotes a state of resiliency to stress. This is a similar percent explained in other RRRs with biomarkers as response variables [ 89 , 90 , 91 ] and similar factor loadings to other RRR-derived dietary patterns [ 92 , 93 , 94 ].…”
Section: Discussionsupporting
confidence: 73%
“…A food item with absolute factor loading over 0.1 was used to describe the characteristics of the dietary pattern. Higher absolute factor loading of food items reflects higher consumption, and the dietary score was calculated by standardized food intakes and their weight within the dietary pattern [ 21 ]. Participants were afterward divided into quintile groups due to dietary scores to conduct further analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Besides, this research did not include the Chinese elderly, an important part of the whole population. Meanwhile, the Reduced-Rank Regression (RRR), a method recently applied in nutritional epidemiology, could either identify the dietary pattern or explain the maximum variation of the response variables (such as nutrients) linked to the aim disease [ 20 , 21 ]. This study aims to explore the dietary pattern among all-adults in China, examine the relationship between DASH-score and current dietary patterns and the risk of HTN based on the data from China Nutrition and Health Surveillance (CNHS) 2015–2017.…”
Section: Introductionmentioning
confidence: 99%