ABCs of SLEEPING: A review of the evidence behind pediatric sleep practice recommendations

Allen, Stephanie L.; Howlett, Michael; Coulombe, Janie; Corkum, Penny

doi:10.1016/j.smrv.2015.08.006

Cited by 166 publications

(141 citation statements)

References 78 publications

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“…(10) A recent workshop highlighted the gap between knowledge in sleep science, and implementation of preventive interventions. One recommendation was to bolster educational interventions aimed at promoting awareness of the adverse health, functional outcomes and costs of sleep problems.…”

Section: Discussionmentioning

confidence: 99%

“…regular bedtime, bedtime routine), and behavioral interventions (e.g., extinction) both promote healthy sleep (8) and address sleep problems. (9) In fact, most BSPs in young children do not require specialized attention (10) Other sleep problems in young children-- sleep-disordered breathing (SDB) and parasomnias-- are not amenable to brief behavioral interventions. Parasomnias often resolve spontaneously with age, (11) while alternative gold-standard screening tools exist for SDB (12-14), which is managed by weight loss, medications, and surgery.…”

Section: Introductionmentioning

confidence: 99%

“…Given the prevalence of BSPs in early childhood and their responsiveness to behavioral interventions, there is a need for criterion-referenced screening tools (10). Secondary prevention for mild BSPs could be accomplished by training a range of health professionals to deliver brief, behavioral interventions.…”

Section: Introductionmentioning

confidence: 99%

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Modified Children's sleep habits questionnaire for behavioral sleep problems: A validation study

et al. 2017

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Objectives Behavioral sleep problems (BSPs) are prevalent and consequential in young children. There is a need for screening tools that identify BSPs- which are often rooted in the parent-young child relationship- and typically respond to behavior management. Such a tool would increase capacity to identify and treat BSPs. We sought to validate a short-form version of the widely used Children's Sleep Habits Questionnaire (SF-CSHQ) that omitted items that would not be responsive to behavioral strategies. Methods The original 33-item CSHQ elicits parent report of “behaviorally-based” and “medically-based” sleep items (e.g., parasomnias and sleep disordered breathing). We conducted analyses to develop a SF-CSHQ that excludes its “medically-based” items, to determine a) the SF-CSHQ threshold score corresponding to the full CSHQ clinical cut-off score (≥ 41), and b) preliminary validity of this SF-CSHQ. Data were re-analyzed from the original data that established the CSHQ's psychometric properties in 4-10 year olds, and a second dataset that established its validity in 24-66 month olds. Results In both datasets, a threshold score of 30 had correlations of 0.90-0.94 with the original cut-off. This 23-item SF-CSHQ cut-off functioned as well as the full CSHQ cut-off in discriminating between children with vs. without a parent-reported behavioral sleep problem, and with vs. without prolonged sleep latency (per actigraphy). Conclusion We established preliminary validity of modified version of the widely used CSHQ. This SF-CSHQ may be useful for widening screening and first-line guidance for behavioral sleep problems in young children, among professionals who are not sleep medicine specialists.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modified Children's sleep habits questionnaire for behavioral sleep problems: A validation study

et al. 2017

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“…However, more robust research is needed to better understand the causal contributions of healthy sleep practices to the onset and maintenance of children's sleep problems (Allena, Howletta, Coulombeb, & Corkuma, 2016).…”

Section: The Perceptions Of Children's Sleep Quality and Effective Slmentioning

confidence: 99%

Sleep Quality And Chronotype Of Portuguese School-Aged Children

Figueiredo¹,

Gomes²,

Rocha³

et al. 2017

European Proceedings of Social and Behavioural Sciences

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Is the perception of school-aged children and parents about the children's sleep quality and chronotype consistent with their real sleep quality and effective chronotype? The research questions for this study were 1) Do children's sleep perceptions and chronotype differ from real sleep quality and chronotype? 2) Are there differences in sleep quality between genders? 3) What will be the effective quality of sleep and chronotype? The purpose of the study was to analyse the perceptions of children and parents about the children's sleep quality and chronotype and compare them with effective sleep quality and chronotype, to study sleep quality and chronotype considering gender, and to analyse the perceptions of Portuguese parents about children's sleep in a migrant context. The research method was a cross-sectional study, quantitative methodology. The data from three questionnaires were analysed with regard to the three study aims: the Pittsburgh Sleep Quality Index (PSQI) (n=1109 children), the Children's Sleep Habits Questionnaire (CSHQ) (n=883 parents), and the Children's Chronotype Questionnaire (CCTQ) (n=58 parents, Portuguese emigrants in Luxembourg). The samples were collected from 8 Portuguese schools and 2 Luxembourg schools. The PSQI showed high sleep quality, which contradicts the results for CSHQ. Children from state schools (n=538) revealed higher diurnal dysfunction levels compared to the children from private schools (n=571). Females showed best sleep latency and duration. The CSHQ presented general negative sleep quality. The CCTQ demonstrated that parents' perceptions did not fit with the effective children's chronotype. The children's perception showed a wellbalanced sleep quality but the results revealed a high incidence of sleep disturbance. There were no statistical differences for gender. Portuguese emigrant parents revealed low awareness of their children's chronotype and there was significant contrast between parents' perceptions and the real chronotype of children.

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“…Advancements in technology and diverse housing environments can impact sleep behaviors. Moreover, the use of technology during waking hours and the use of technology in bed via computers, tablets, and smartphones (e.g., texting, emailing, and gaming) have been associated with altered sleep behaviors and patterns (Allen, Howlett, Coulombe, & Corkum, 2015). Noisy and unsafe housing environments can lead to delayed and/or disturbed sleep patterns.…”

Section: Introductionmentioning

confidence: 99%

Identification of predictors and moderators of weight-related behaviors in college students.

Owens

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ABCs of SLEEPING: A review of the evidence behind pediatric sleep practice recommendations

Cited by 166 publications

References 78 publications

Modified Children's sleep habits questionnaire for behavioral sleep problems: A validation study

Modified Children's sleep habits questionnaire for behavioral sleep problems: A validation study

Sleep Quality And Chronotype Of Portuguese School-Aged Children

Identification of predictors and moderators of weight-related behaviors in college students.

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