Predictors of Changes in Sleep Duration in Dutch Primary Schoolchildren: the ChecKid Study

Komrij, Nina L.; Stralen, Maartje M. van; Busch, Vincent; Inhulsen, Maj-Britt M R; Koning, Maaike; Jong, Elske de; Renders, Carry M.

doi:10.1007/s12529-020-09876-7

Cited by 9 publications

(12 citation statements)

References 72 publications

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“…A high parental educational level was also associated with shorter sleep among older children. The findings from previous research for this association are inconsistent (Belmon et al, 2019;Komrij et al, 2020;Labree et al, 2015). In addition, the present study aimed to include an as heterogeneous sample as possible by specifically selecting schools from varied neighbourhoods in terms of their socioeconomic position and the cultural backgrounds of its residents.…”

Section: Discussionmentioning

confidence: 96%

“…First, analyses were performed for each of the independent variables, which were adjusted for the child’s age and sex, as these factors have been reported to be associated with children’s sleep, thus possibly introducing confounding effects (Komrij et al, 2020; Spilsbury et al, 2004). Second, all variables that were significantly associated with (1) sleep duration or (2) sleep quality were subsequently added as a random slope to the intercept‐only models.…”

Section: Methodsmentioning

confidence: 99%

“…To develop preventative sleep interventions, it is essential to know which factors are most important when promoting healthy sleep among children. A model that has been shown to be helpful in explaining potential factors of sleep health among children is the Dahlgren and Whitehead’s “determinants of health model”, which is therefore also applied in the present study (Dahlgren & Whitehead, 1991; Komrij et al, 2020). In this model, the child has a set of fixed characteristics (e.g.…”

Section: Introductionmentioning

confidence: 99%

“…social norm among siblings; Belmon, Busch, et al, 2020; McDowall, Campbell, & Elder, 2016) and cultural differences in sleep practices (Anujuo, Vrijkotte, Stronks, Jean‐Louis, & Agyemang, 2016) might negatively influence children’s sleep. For the factors related to children’s living conditions that influence children’s sleep health, a low parental educational level (Doane et al, 2019; Komrij et al, 2020), the presence of screens in the bedroom (Belmon et al, 2019; Hale & Guan, 2015), the lack of a healthy sleep environment (e.g. a dark and quiet bedroom at night; Bagley, Kelly, Buckhalt, & El‐Sheikh, 2015; Galland & Mitchell, 2010) and bed(room) sharing (Mindell, Meltzer, Carskadon, & Chervin, 2009; Spruyt, O'Brien, Cluydts, Verleye, & Ferri, 2005) were found to be negatively related to sleep health.…”

Section: Introductionmentioning

confidence: 99%

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Correlates of inadequate sleep health among primary school children

Belmon

Komrij

Busch

et al. 2021

Journal of Sleep Research

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Inadequate sleep health (e.g. insufficient sleep duration, poor sleep quality and irregular sleep timing [Buysse, 2014]) among children is an important public health concern (Matricciani, Olds, & Petkov, 2012; Matricciani, Paquet, Galland, Short, & Olds, 2019), as healthy sleep is essential for a wide range of physical, mental, and behavioural outcomes (Astill, Van der Heijden, Van Ijzendoorn, & Van

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Section: Discussionmentioning

confidence: 96%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Correlates of inadequate sleep health among primary school children

Belmon

Komrij

Busch

et al. 2021

Journal of Sleep Research

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“…The potential mechanism of changing profile memberships between age 5.5 to 8 years is currently not well understood since this is the first study to describe such transitions. Evidence suggests that multiple factors, including personal, parental/family, social and environmental factors, could explain the changes in movement behaviours of children as they transit between schools or with increasing school years [ 17 , 57 – 59 ]. For instance, changing from kindergarten to primary school (grade 2) between ages 5.5 to 8 years may require the children to sit longer for academic activities and increase the use of screen devices [ 17 , 58 ].…”

Section: Discussionmentioning

confidence: 99%

24-hour movement behaviour profiles and their transition in children aged 5.5 and 8 years – findings from a prospective cohort study

Padmapriya

Chen

Goh

et al. 2021

Int J Behav Nutr Phys Act

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Background Time spent in movement behaviours, including physical activity (PA), sedentary behaviour (SB) and sleep, across the 24-h day may have distinct health consequences. We aimed to describe 24-h movement behaviour (24 h-MB) profiles in children and how profile membership changed from age 5.5 to 8 years. Methods Children in the Growing Up in Singapore Towards healthy Outcomes (GUSTO) cohort were asked to wear an accelerometer (ActiGraph-GT3X+) on their wrist for seven consecutive days at ages 5.5 and 8 years to measure 24 h-MB patterns. Time spent in night sleep, inactivity (proxy for SB), light PA, moderate PA (MPA), and vigorous PA (VPA) per day were calculated using the R-package GGIR 2.0. Using latent profile analyses (n = 442) we identified 24 h-MB profiles, which were given animal names to convey key characteristics. Latent transition analyses were used to describe the profile membership transition from ages 5.5 to 8 years. Associations with sex and ethnicity were examined. Results We identified four profiles, “Rabbits” (very high-MPA/VPA, low-inactivity and average-night-sleep), “Chimpanzees” (high-MPA, low-inactivity and average-night-sleep), “Pandas” (low-PA, high-inactivity and high-night-sleep) and “Owls” (low-PA, high-inactivity and low-night-sleep), among children at both time points. At ages 5.5 and 8 years, the majority of children were classified into profiles of “Chimpanzees” (51 and 39%, respectively) and “Pandas” (24 and 37%). Half of the sample (49%), particularly “Rabbits”, remained in the same profile at ages 5.5 and 8 years: among children who changed profile the predominant transitions occurred from “Chimpanzees” (27%) and “Owls” (56%) profiles to “Pandas”. Sex, but not ethnicity, was associated with profile membership: compared to girls, boys were more likely to be in the “Rabbits” profile (adjusted OR [95% CI]: 3.6 [1.4, 9.7] and 4.5 [1.8, 10.9] at ages 5.5 and 8 years, respectively) and less likely to be in the “Pandas” profile (0.5 [0.3, 0.9] and 0.4 [0.2, 0.6]) at both ages. Conclusions With increasing age about half the children stayed in the same of four 24 h-MB profiles, while the predominant transition for the remaining children was towards lower PA, higher inactivity and longer sleep duration. These findings can aid development and implementation of public health strategies to promote better health. Study registration This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.

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