Protective and risk factors associated with adolescent sleep: findings from Australia, Canada, and The Netherlands

Bartel, Kate; Williamson, Paul; Maanen, Annette van; Cassoff, Jamie; Meijer, Anne Marie; Oort, Frans J.; Knaüper, Bärbel; Gruber, Reut; Gradisar, Michael

doi:10.1016/j.sleep.2016.07.007

Cited by 49 publications

(44 citation statements)

References 51 publications

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“…naps and caffeine consumption), it does not include any questions pertaining to technology use in the bed. As adolescents are a population with a high affinity for technology use around bedtime (Bartel et al, ), our findings have implications for examining SEL in this vulnerable group. Thus, in light of the present study's findings, current self‐report measures of sleep may require modification, both regarding the timing of SEL and the activities engaged in during SEL.…”

Section: Discussionmentioning

confidence: 80%

Sleep latency versus shuteye latency: Prevalence, predictors and relation to insomnia symptoms in a representative sample of adults

Exelmans¹,

Gradisar

Bulck

2018

Journal of Sleep Research

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Shuteye latency (SEL) refers to the time spent performing activities in bed before attempting sleep. This study investigates (a) the prevalence, duration and predictors of SEL, (b) its association with insomnia symptoms (sleep onset latency [SOL], sleep quality and fatigue), and (c) the activities engaged in during SEL. A representative sample of 584 adults (18-96 years old) participated in an online survey. Respondents reported their SEL on weekday nights (Sunday to Thursday) and weekend nights (Friday and Saturday), and activities during SEL. One in five adults tried to sleep immediately at bedtime. Around 16% of respondents were awake >30 min on both weekday and weekend nights. Younger people and those with an eveningness preference reported longer SEL. Longer SEL corresponded with a progressive decline in sleep quality, increased SOL and more fatigue. Those with an SEL >30 min reported using both passive (e.g. television) and interactive (e.g. smartphone) media more frequently than respondents with an SEL < 30 min, but there was no difference between the groups for non-screen-related activities. Implications of SEL for measurements commonly used in sleep research are discussed. Shuteye latency may be symptomatic of how a modern lifestyle puts increasing pressure on sleep, but may also reveal a previously undocumented behaviour associated with insomnia symptoms.

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Section: Discussionmentioning

confidence: 80%

Sleep latency versus shuteye latency: Prevalence, predictors and relation to insomnia symptoms in a representative sample of adults

Exelmans¹,

Gradisar

Bulck

2018

Journal of Sleep Research

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“…Overall, 19 analyses were conducted that investigated the role of household chaos on health and health behaviours: (1) 9 papers specifically looked at physical health outcomes, disease, and communication disorder outcomes (13,83,102,109,(114)(115)(116)(117)(118), including glycaemic control, child health, weight status, and stutter, (2) 3 studies investigated diet and dietary behaviours (102,119,120), (3) 6 studies looked at sleep (14,53,97,106,121,122), and (4) 2 studies assessed other outcomes, including TV viewing behaviours in a laboratory setting (123) and mothers' perceptions on children's physical activity (124). For glycaemic control, both maternal and paternal household chaos scores were positively associated with HbA1c in children and adolescents with type 1 diabetes (114) and in children aged 1-13 years with type 1 diabetes mellitus (116).…”

Section: Physical Health Health Behaviours and Communication Disordersmentioning

confidence: 99%

“…With respect to sleep, a more chaotic home environment was associated with mixed effects on sleep outcomes in adolescents, including sleep onset latency and sleep duration (121,122); however, in younger children greater scores for household chaos were significantly associated with higher parent-reported scores for bedtime resistance, sleep anxiety, and total sleep problems (14). One study found that infants from highly chaotic homes demonstrated delays in sleep consolidation patterns and greater fragmentation of sleep; however, they also reported longer and more variable sleep duration compared with infants in low chaos homes (106).…”

Section: Physical Health Health Behaviours and Communication Disordersmentioning

confidence: 99%

The Relationship between Household Chaos and Child, Parent, and Family Outcomes: A Systematic Scoping Review

Marsh

Dobson

Maddison

2020

Preprint

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Background: Household chaos, represented by the level of disorganisation or environmental confusion in the home, has been associated with a range of adverse child and family outcomes. This review aims to (1) identify how household chaos is measured, (2) chart study details of household chaos literature, and (3) map the existing literature with respect to the relationship between household chaos and child, parent, and family outcomes. We expect that this review will highlight the need to consider the importance of household chaos in child well-being research, particularly in those families where children may be more vulnerable to the adverse effects of household chaos.Methods: We searched five electronic databases (last updated September 1st 2018) in addition to Google Scholar, and identified publications via a 3-stage screening process, which was conducted by two researchers. Published studies were included if they investigated the association between household chaos and child, parent, or family outcomes. Research that investigated household chaos as a mediator or moderator, or that investigated how the relationship between household chaos and the outcome of interest was mediated or moderated, were also included. Results: 112 studies in 111 publications were included. The majority were conducted in the United States (n=71), and used either cross-sectional (n=60) or longitudinal (n=49) study designs. Outcomes of interest were categorised into seven categories: (1) cognitive and academic (n=16), (2) socio-emotional and behavioural (n=60), (3) communication (n=6), (4) parenting, family, and household functioning (n=21), (5) parent outcomes (n=6), (6) hormone (n=8), and (7) physical health and health behaviours (n=19). There was consistent evidence for significant correlations between household chaos and adverse outcomes across all seven categories in diverse populations with respect to age, disease status, and socio-economic status (SES).Conclusion: There is consistent evidence for associations between household chaos and a number of adverse child, parent, and family-level outcomes. Household chaos may also help describe variations in outcomes between low SES and child development.

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“…Additionally, requesting adolescents set a reminder may improve regular activity completion. Due to the association between pre‐sleep arousal and SOL in non‐sleep‐disordered adolescents (Bartel et al., ), this study aimed to determine the effects of low‐intensity interventions on SOL and pre‐sleep cognitive arousal broadly (i.e. in schools).…”

Section: Discussionmentioning

confidence: 99%

Brief school‐based interventions to assist adolescents’ sleep‐onset latency: Comparing mindfulness and constructive worry versus controls

Bartel

Huang

Maddock

et al. 2018

Journal of Sleep Research

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Difficulties falling asleep are common among adolescents, especially during times of stress. Adolescents may thus benefit from brief techniques (15 min) that decrease pre-sleep cognitive-emotional arousal and sleep-onset latency. The present study used a 3 (intervention: mindfulness bodyscan mp3, constructive worry, control) by 3 (time: baseline, week 1, week 2) mixed-model design on a school-based sample of adolescents (N = 232; M = 15.9 ± 0.8 years, range = 14-18 years; 19% male), and a sub-sample of adolescents with prolonged sleep-onset latency (i.e. ≥30 min; N = 119; M = 16.9 ± 0.9 years; 21% male). It was expected that the 15-min pre-recorded breath-based mindfulness bodyscan, and constructive worry, would decrease sleep-onset latency and pre-sleep arousal similarly over time, relative to the control condition. A significant interaction was observed among adolescents with prolonged sleep-onset latency, who completed ≥3 days for at least 1 week (p = .001), where mindfulness decreased sleep-onset latency relative to constructive worry and the control. Neither technique changed pre-sleep worry or cognitive-emotional arousal, or associated daytime functioning (both the whole sample and sub-sample). A pre-recorded mp3 breath-based mindfulness bodyscan technique is a promising means by which adolescents with prolonged sleep-onset latency can decrease sleep-onset latency. This simple tool has potential for scalable dissemination by stakeholders (e.g. teachers), unqualified to treat adolescent sleep difficulties. Future studies are needed to determine whether benefits may extend to academic performance and mental health, if performed for a longer time period with increased compliance.

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Protective and risk factors associated with adolescent sleep: findings from Australia, Canada, and The Netherlands

Abstract: Results indicate that when designing interventions for adolescent sleep, multiple lifestyle factors need to be considered, whereas country of residence may play a lesser role.

Cited by 49 publications

References 51 publications

Sleep latency versus shuteye latency: Prevalence, predictors and relation to insomnia symptoms in a representative sample of adults

Sleep latency versus shuteye latency: Prevalence, predictors and relation to insomnia symptoms in a representative sample of adults

The Relationship between Household Chaos and Child, Parent, and Family Outcomes: A Systematic Scoping Review

Brief school‐based interventions to assist adolescents’ sleep‐onset latency: Comparing mindfulness and constructive worry versus controls

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