2017
DOI: 10.1017/s0007114516004505
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Dietary patterns by reduced rank regression are associated with obesity and hypertension in Australian adults

Abstract: Evidence linking dietary patterns (DP) and obesity and hypertension prevalence is inconsistent. We aimed to identify DP derived from energy density, fibre and sugar intakes, as well as Na, K, fibre, SFA and PUFA, and investigate associations with obesity and hypertension. Adults (n 4908) were included from the cross-sectional Australian Health Survey 2011-2013. Two 24-h dietary recalls estimated food and nutrient intakes. Reduced rank regression derived DP with dietary energy density (DED), fibre density and t… Show more

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Cited by 44 publications
(28 citation statements)
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“…Using the same dietary pattern score, we were able to observe important correlates of an obesogenic diet in the UK population, which was in line with groups with a higher prevalence of obesity. There were clear social gradients, which has also been observed in other studies deriving dietary patterns in the same way [ 10 , 22 ], and is in line with the more general observation that diet quality is socially patterned [ 26 ]. Interestingly there was no evidence of association between our dietary pattern score and weight status in either adults or children.…”
Section: Resultssupporting
confidence: 88%
See 1 more Smart Citation
“…Using the same dietary pattern score, we were able to observe important correlates of an obesogenic diet in the UK population, which was in line with groups with a higher prevalence of obesity. There were clear social gradients, which has also been observed in other studies deriving dietary patterns in the same way [ 10 , 22 ], and is in line with the more general observation that diet quality is socially patterned [ 26 ]. Interestingly there was no evidence of association between our dietary pattern score and weight status in either adults or children.…”
Section: Resultssupporting
confidence: 88%
“…Dietary patterns were derived with Reduced Rank Regression (RRR). To replicate the obesogenic dietary pattern previously identified in ALSPAC, we used dietary energy density (DED), fibre density (FD) and total fat as a percentage of energy intake (% fat) as response variables [ 10 , 11 , 22 ]. A total of 51 food groups were used as predictors, to generate 3 dietary patterns (based on the number of response variables).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Consequently, the prevalence of obesity-associated metabolic diseases such as type 2 diabetes, dyslipidemia, hypertension or hepatic diseases, and accompanying clinical manifestations, will also increase [ 2 , 3 ]. Current recommendations for obesity management focus on energy-restricted diets with reduced consumption of high energy-dense foods (mainly fat and sugars), as well as higher intakes of fiber and protein to produce satiety, which may be complemented by behavioral or physical activity programs to induce additional weight loss [ 4 ]. Also, bariatric surgery and new pharmacological agents may represent appropriate medical strategies for inducing weight loss, but further research is warranted to combat the obesity epidemic.…”
Section: Introductionmentioning
confidence: 99%
“…Although the results of some studies were similar to our study, a number of studies have reported different results from our survey. One study in Australian adults has investigated the association between dietary patterns with obesity and HTN and showed that a dietary pattern with high sodium and saturated fatty acids and low fiber was related to the prevalence of HTN significantly,[ 35 ] and in addition, Khalesi et al . confirmed a significant association between western pattern and HTN among Australian adults.…”
Section: Discussionmentioning
confidence: 99%