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Determinants of a dietary pattern linked with greater metabolic risk and its tracking during adolescence

Overview of attention for article published in Journal of Human Nutrition & Dietetics, October 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

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Title
Determinants of a dietary pattern linked with greater metabolic risk and its tracking during adolescence
Published in
Journal of Human Nutrition & Dietetics, October 2017
DOI 10.1111/jhn.12519
Pubmed ID
Authors

G. Appannah, G. K. Pot, W. H. Oddy, S. A. Jebb, G. L. Ambrosini

Abstract

Although growing evidence suggests that dietary patterns associated with noncommunicable diseases in adulthood may develop early in life, when these are established, as well as their determinants, remains unclear. We examined determinants and tracking of a dietary pattern (DP) associated with metabolic risk and its key food groups among 860 adolescents in the Western Australian Pregnancy (Raine) Cohort study. Food intake was reported using a food frequency questionnaire (FFQ) at 14 and 17 years. Z-scores for an 'energy-dense, high-fat, low-fibre' DP were estimated by applying reduced rank regression at both ages. Tracking was based on the predictive value (PV) of remaining in the DPZ-score or food intake quartile at 14 and 17 years. Early-life exposures included: maternal age; maternal pre-pregnancy body mass index; parent smoking status during pregnancy; and parent socio-economic position (SEP) at 14 and 17 years. Associations between the DPZ-scores, early-life factors and SEP were analysed using regression analysis. Dietary tracking was strongest among boys with high DPZ-scores, high intakes of processed meat, low-fibre bread, crisps and savoury snacks (PV > 1) and the lowest intakes of vegetables, fruit and legumes. Lower maternal education (β = 0.09, P = 0.002 at 14 years; β = 0.14, P < 0.001 at 17 years) and lower maternal age at birth (β = 0.09, P = 0.003 at 14 years; β = 0.11, P = 0.004 at 17 years) were positively associated with higher DPZ-scores. An energy-dense, high-fat, low-fibre dietary pattern tracks more strongly among adolescent boys who have high scores for this pattern at 14 years of age. These findings highlight target foods and population subgroups for early interventions aiming to improve dietary behaviours.

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 11 14%
Student > Master 10 13%
Student > Ph. D. Student 8 10%
Researcher 5 6%
Student > Postgraduate 5 6%
Other 12 16%
Unknown 26 34%
Readers by discipline Count As %
Medicine and Dentistry 17 22%
Nursing and Health Professions 14 18%
Psychology 6 8%
Agricultural and Biological Sciences 5 6%
Sports and Recreations 3 4%
Other 7 9%
Unknown 25 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 09 August 2018.
All research outputs
#7,569,384
of 26,589,077 outputs
Outputs from Journal of Human Nutrition & Dietetics
#733
of 1,624 outputs
Outputs of similar age
#108,354
of 335,873 outputs
Outputs of similar age from Journal of Human Nutrition & Dietetics
#10
of 16 outputs
Altmetric has tracked 26,589,077 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,624 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.5. This one has gotten more attention than average, scoring higher than 54% of its peers.
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 335,873 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 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.