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Weekday snacking prevalence, frequency, and energy contribution have increased while foods consumed during snacking have shifted among Australian children and adolescents: 1995, 2007 and 2011–12…

Overview of attention for article published in Nutrition Journal, October 2017
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Title
Weekday snacking prevalence, frequency, and energy contribution have increased while foods consumed during snacking have shifted among Australian children and adolescents: 1995, 2007 and 2011–12 National Nutrition Surveys
Published in
Nutrition Journal, October 2017
DOI 10.1186/s12937-017-0288-8
Pubmed ID
Authors

Flávia Fayet-Moore, Véronique Peters, Andrew McConnell, Peter Petocz, Alison L. Eldridge

Abstract

There are limited data on the evolution of eating habits, including snacking, in Australia. This study aimed to understand snacking trends among Australian children over three previous National Nutrition Surveys. Data were analysed from a single weekday 24-h recall in the National Nutrition Surveys 1995, 2007, 2011-12 among children 2-16y (n = 8258). A snacking occasion was defined as an eating occasion that occurred between meals based on time of day. The percentage of children snacking increased over time (92.5 ± 0.5(SE) % in 1995, 98.1 ± 0.3% in 2007, and 95.8 ± 0.4% in 2011-12) (P < 0.001), particularly among those having four or more snacking occasions (7.1 ± 0.5% in 1995, 17.9 ± 0.6% in 2007, and 18.5 ± 0.8% in 2011-2) (P < 0.001). The mean number of snacking occasions increased from 2.0 ± 0.0 in 1995, to 2.5 ± 0.0 in 2007 and 2011-12 (P < 0.001). The energy contribution from snacking increased from 24.1 ± 0.3% in 1995 to 27.7 ± 0.3% in 2007 and 30.5 ± 0.4% in 2011-12 (P < 0.001), while the energy from discretionary food during snacking decreased from 56.5 ± 0.7% in 1995 to 47.3 ± 0.5% in 2007 and 47.9 ± 0.7% in 2011-12 (P < 0.001). There were differences in the top foods consumed during snacking: non-alcoholic beverages were prominent contributors in 1995 but not in 2007 or 2011, and pome fruit was the second top energy contributor during snacking in 2007 and 2011 but only fourth in 1995. Snacking is a prominent dietary pattern that has increased over time in frequency and energy contribution. Foods and beverages consumed during snacking occasions include a mix of core foods and discretionary foods, and while the contribution of discretionary foods has decreased, there is still an opportunity to encourage consumption of more nutrient dense foods during snacking.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 114 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 21%
Student > Master 12 11%
Student > Ph. D. Student 10 9%
Researcher 8 7%
Student > Doctoral Student 4 4%
Other 12 11%
Unknown 44 39%
Readers by discipline Count As %
Nursing and Health Professions 20 18%
Agricultural and Biological Sciences 13 11%
Medicine and Dentistry 11 10%
Social Sciences 5 4%
Engineering 2 2%
Other 11 10%
Unknown 52 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 November 2017.
All research outputs
#17,917,778
of 23,005,189 outputs
Outputs from Nutrition Journal
#1,244
of 1,438 outputs
Outputs of similar age
#231,058
of 323,064 outputs
Outputs of similar age from Nutrition Journal
#24
of 26 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.2. This one is in the 11th percentile – i.e., 11% 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 323,064 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.