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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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1 X user
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1 Wikipedia page

Readers on

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116 Mendeley
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Article details
Title
Sleep timing is associated with diet and physical activity levels in 9–11‐year‐old children from Dunedin, New Zealand: the PEDALS study
Published in
Journal of Sleep Research, November 2017
DOI 10.1111/jsr.12634
Pubmed ID
Authors
Abstract

It is well documented that short sleep duration is associated with excess body weight and poor food intake in children. It has been suggested that sleep timing behaviour may also be an important predictor of weight and other related behaviours, independent of sleep duration; however, there is a lack of research investigating these relationships. The present study investigated sleep timing in association with diet and physical activity levels in 439 children aged 9-11 years old from New Zealand. Sleep and physical activity data were collected using accelerometry, and food choice using a short food-frequency questionnaire. Participants were classified into one of four sleep timing behaviour categories using the median split for sleep-onset and -offset times. Differences between sleep timing groups for weekly consumption frequency of selected food groups, dietary pattern scores and minutes of moderate-to-vigorous physical activity were examined. Children in the late sleep/late wake category had a lower 'Fruit & Vegetables' pattern score [mean difference (95% CI): -0.3 (-0.5, -0.1)], a lower consumption frequency of fruit and vegetables [mean weekly difference (95% CI): -2.9 (-4.9, -0.9)] and a higher consumption frequency of sweetened beverages [mean weekly difference (95% CI): 1.8 (0.2, 3.3)] compared with those in the early sleep/early wake category. Additionally, children in the late sleep/late wake category accumulated fewer minutes of moderate-to-vigorous physical activity per day compared with those in the early sleep/early wake category [mean difference (95% CI): -9.4 (-15.3, -3.5)]. These findings indicate that sleep timing, even after controlling for sleep duration, was associated with both food consumption and physical activity.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 17 15%
Student > Ph. D. Student 12 10%
Student > Bachelor 11 9%
Student > Doctoral Student 10 9%
Researcher 7 6%
Other 24 21%
Unknown 35 30%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 20 17%
Medicine and Dentistry 17 15%
Sports and Recreations 9 8%
Psychology 7 6%
Agricultural and Biological Sciences 5 4%
Other 12 10%
Unknown 46 40%
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 October 2025.
All research outputs
#9,424,700
of 29,381,643 outputs
Outputs from Journal of Sleep Research
#1,133
of 2,220 outputs
Outputs of similar age
#150,723
of 459,464 outputs
Outputs of similar age from Journal of Sleep Research
#16
of 28 outputs
Altmetric has tracked 29,381,643 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,220 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.4. This one is in the 47th percentile – i.e., 47% 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 459,464 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 66% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.