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Gender differences in sleep hygiene practices and sleep quality in New Zealand adolescents aged 15 to 17 years

Overview of attention for article published in Sleep Health, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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2 policy sources
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12 X users
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1 Facebook page

Readers on

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257 Mendeley
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Article details
Title
Gender differences in sleep hygiene practices and sleep quality in New Zealand adolescents aged 15 to 17 years
Published in
Sleep Health, February 2017
DOI 10.1016/j.sleh.2017.02.001
Pubmed ID
Authors
Abstract

To examine, in a nationwide sample of New Zealand adolescents, self-reported sleep hygiene, and specifically evening technology and caffeine use, and body mass index, in relation to sleep quality. Cross-sectional survey. A total of 692 adolescents (59% girls), predominantly European (78%), with an average age of 16 years 9 months were recruited through schools, community advertising, and social media. All participants completed the Pittsburgh Sleep Quality Index and Adolescent Sleep Hygiene Scale online, and questions about their height, weight, evening technology use, and caffeine consumption. Fifty-six percent of adolescents had poor sleep quality with a higher prevalence in girls (63.1%) than in boys (44.5%), and sleep hygiene (Adolescent Sleep Hygiene Scale) was significantly worse in girls. Caffeine after dinner was associated with increased adjusted odds of a poorer score for Pittsburgh Sleep Quality Index-evaluated daytime dysfunction (P=.002). A higher proportion of girls drank hot caffeinated drinks (51.8%) after dinner than did boys (38.1%), and although more boys (12.1% vs 9.2%) drank energy drinks, the difference was not significant. A 1-hour increase in evening technology time increased the odds of poor sleep efficiency by 20% (P=.04). A 1-zscore increase in body mass index resulted in a 38% higher adjusted odds of poor sleep efficiency (P=.015) and 21% higher adjusted odds of long sleep latency (P=.032). The findings highlight gender differences in sleep quality and some presleep behaviors of New Zealand youth, and support the role for good sleep hygiene practices to promote healthy sleep in adolescents.

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X Demographics

X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 257 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 257 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 39 15%
Student > Master 31 12%
Student > Ph. D. Student 18 7%
Researcher 16 6%
Student > Doctoral Student 12 5%
Other 31 12%
Unknown 110 43%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 36 14%
Psychology 36 14%
Medicine and Dentistry 25 10%
Neuroscience 6 2%
Social Sciences 5 2%
Other 28 11%
Unknown 121 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 August 2022.
All research outputs
#2,724,602
of 26,539,834 outputs
Outputs from Sleep Health
#228
of 759 outputs
Outputs of similar age
#47,666
of 327,896 outputs
Outputs of similar age from Sleep Health
#8
of 24 outputs
Altmetric has tracked 26,539,834 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 759 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.0. This one has gotten more attention than average, scoring higher than 69% 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 327,896 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.