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Association between diet quality, dietary patterns and cardiometabolic health in Australian adults: a cross-sectional study

Overview of attention for article published in Nutrition Journal, February 2018
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Title
Association between diet quality, dietary patterns and cardiometabolic health in Australian adults: a cross-sectional study
Published in
Nutrition Journal, February 2018
DOI 10.1186/s12937-018-0326-1
Pubmed ID
Authors

Katherine M. Livingstone, Sarah A. McNaughton

Abstract

Diet quality indices score dietary intakes against recommendations, whereas dietary patterns consider the pattern and combination of dietary intakes. Studies evaluating both methodologies in relation to cardiometabolic health in a nationally representative sample are limited. The aim of the present study was to investigate the relationship between diet quality, dietary patterns and markers of cardiometabolic health in Australian adults. Dietary data, using two 24-h dietary recalls, were collected from adults in the cross-sectional Australian Health Survey 2011-2013 (n = 2121; 46.4 (SE 0.48) years). Diet quality was estimated using the Dietary Guideline Index (DGI). Dietary patterns (DPs), derived using reduced rank regression, were estimated using fiber density, SFA: PUFA and total sugars intake as intermediate markers. Multi-variable adjusted linear regression analyses were used to examine associations between diet quality and DPs and blood biomarkers, body mass index, waist circumference, diastolic and systolic blood pressure and an overall cardiometabolic risk score. DGI was associated with lower glucose (coef - 0.009, SE 0.004; P-trend = 0.033), body mass index (coef - 0.017, SE 0.007; P-trend = 0.019) and waist circumference (coef - 0.014, SE 0.005; P-trend = 0.008). Two dietary patterns were derived: dietary pattern-1 was characterized by higher intakes of pome fruit and wholegrain bread, while dietary pattern-2 was characterized by higher intakes of added sugars and tropical fruit. Dietary pattern-1 was associated with lower body mass index (coef - 0.028, SE 0.007; P-trend< 0.001) and waist circumference (coef - 0.017, SE 0.005; P-trend = 0.001). There was a trend towards lower cardiometabolic risk score. Dietary pattern-2 was associated with lower HDL-cholesterol (coef - 0.026, SE 0.012; P-trend = 0.028). There was a trend towards lower diastolic blood pressure. No associations with other markers were observed. Better diet quality and healthier dietary patterns were primarily associated with favorable anthropometric markers of cardiometabolic health. Findings support the need for comparison of whole-diet based methodologies that take into consideration the interactions between foods and nutrients. Longitudinal studies are warranted to better understand causal relationships between diet and cardiometabolic health.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 15%
Student > Bachelor 17 14%
Student > Ph. D. Student 14 12%
Student > Postgraduate 10 8%
Student > Doctoral Student 6 5%
Other 16 14%
Unknown 37 31%
Readers by discipline Count As %
Nursing and Health Professions 30 25%
Medicine and Dentistry 24 20%
Agricultural and Biological Sciences 6 5%
Social Sciences 3 3%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 11 9%
Unknown 42 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2019.
All research outputs
#6,976,721
of 23,327,904 outputs
Outputs from Nutrition Journal
#889
of 1,443 outputs
Outputs of similar age
#143,713
of 446,865 outputs
Outputs of similar age from Nutrition Journal
#18
of 32 outputs
Altmetric has tracked 23,327,904 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,443 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,865 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.