Evidence map›Paper›PMID 31273023›Full record

ArticleBMJ open2019

Sleep: population epidemiology and concordance in Australian children aged 11-12 years and their parents.

Lisa Matricciani, Francois Fraysse, Anneke C Grobler, Josh Muller, Melissa Wake, Timothy Olds

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  9. The physical home environment and sleep: What matters most for sleep in early childhood.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2022
    Article
  10. Family Social Support and Weight-Related Behaviors of School-Age Children: An Exploratory Analysis.International journal of environmental research and public health · 2022
    Article
  11. Article
  12. Article
  13. Maternal Sleep Quality is Associated with Personal and Parenting Weight-Related Behaviors.International journal of environmental research and public health · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lisa MatriccianiSansom Institute, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia.
Francois FraysseSansom Institute, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia.
Anneke C GroblerMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0002-7809-7688
Josh MullerMurdoch Children's Research Institute, Parkville, Victoria, Australia.
Melissa WakeMurdoch Children's Research Institute, Parkville, Victoria, Australia.ORCID 0000-0001-7501-9257
Timothy OldsSansom Institute, Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia.ORCID 0000-0001-6894-5519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe objectively measured sleep characteristics in children aged 11-12 years and in parents and to examine intergenerational concordance of sleep characteristics.

designPopulation-based cross-sectional study (the Child Health CheckPoint), nested within the Longitudinal Study of Australian Children.

settingData were collected between February 2015 and March 2016 across assessment centres in Australian major cities and selected regional towns.

participantsOf the participating CheckPoint families (n=1874), sleep data were available for 1261 children (mean age 12 years, 50% girls), 1358 parents (mean age 43.8 years; 88% mothers) and 1077 biological parent-child pairs. Survey weights were applied and statistical methods accounted for the complex sample design, stratification and clustering within postcodes. OUTCOME MEASURES: Parents and children were asked to wear a GENEActive wrist-worn accelerometer for 8 days to collect objective sleep data. Primary outcomes were average sleep duration, onset, offset, day-to-day variability and efficiency. All sleep characteristics were weighted 5:2 to account for weekdays versus weekends. Biological parent-child concordance was quantified using Pearson's correlation coefficients in unadjusted models and regression coefficients in adjusted models.

resultsThe mean sleep duration of parents and children was 501 min (SD 56) and 565 min (SD 44), respectively; the mean sleep onset was 22:42 and 22:02, the mean sleep offset was 07:07 and 07:27, efficiency was 85.4% and 84.1%, and day-to-day variability was 9.9% and 7.4%, respectively. Parent-child correlation for sleep duration was 0.22 (95% CI 0.10 to 0.28), sleep onset was 0.42 (0.19 to 0.46), sleep offset was 0.58 (0.49 to 0.64), day-to-day variability was 0.25 (0.09 to 0.34) and sleep efficiency was 0.23 (0.10 to 0.27).

conclusionsThese normative values for objective sleep characteristics suggest that, while most parents and children show adequate sleep duration, poor-quality (low efficiency) sleep is common. Parent-child concordance was strongest for sleep onset/offset, most likely reflecting shared environments, and modest for duration, variability and efficiency.

Indexed as

ParentsActigraphyAdultAustraliaChildCross-Sectional StudiesFemaleHumansLinear ModelsLongitudinal StudiesMaleMiddle AgedSleepactigraphychildrenepidemiologic studiesinheritance patternsreference valuessleep

Identifiers

PMID31273023
PMCPMC6624061

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.