Elsevier

Sleep Medicine

Volume 38, October 2017, Pages 31-36
Sleep Medicine

Original Article
The short and long of adolescent sleep: the unique impact of day length

https://doi.org/10.1016/j.sleep.2017.06.018Get rights and content

Highlights

  • Day length uniquely contributed to sleep.

  • Short day length predicted later bedtimes, shorter sleep latency, and less sleep.

  • Longer day length was associated with earlier bedtimes and longer sleep.

  • Practicing good sleep hygiene was the most advantageous for sleep.

Abstract

Study objectives

Variation in day length is proposed to impact sleep, yet it is unknown whether this is above the influence of behavioural factors. Day length, sleep hygiene, and parent-set bedtime were simultaneously explored, to investigate the relative importance of each on adolescents’ sleep.

Methods

An online survey was distributed in four countries at varying latitudes/longitudes (Australia, The Netherlands, Canada, Norway).

Results

Overall, 711 (242 male; age M = 15.7 ± 1.6, range = 12–19 yrs) adolescents contributed data. Hierarchical regression analyses showed good sleep hygiene was associated with earlier bedtime, shorter sleep latency, and longer sleep (β = −0.34; −0.30; 0.32, p < 0.05, respectively). Shorter day length predicted later bedtime (β = 0.11, p = 0.009), decreased sleep latency (β = −0.21, p < 0.001), and total sleep (β = −0.14, p = 0.001). Longer day length predicted earlier bedtimes (β = −0.11, p = 0.004), and longer sleep (β = 0.10, p = 0.011).

Conclusions

Sleep hygiene had the most clinical relevance for improving sleep, thus should be considered when implementing adolescent sleep interventions, particularly as small negative effects of shorter day length may be minimised through sleep hygiene techniques.

Introduction

Adolescence is a time marked by relatively rapid physiological, biological, and hormonal changes, all of which contribute to changing sleep patterns [1], [2], [3]. As adolescents become older, their ability to postpone sleep onset increases, through a reduction in the escalation of sleep pressure, and a natural delay in their sleep timing (via a delayed 24-h circadian rhythm timing) [1]. This, in conjunction with constraints imposed on sleep through starting school can lead to restricted sleep, especially on weekdays [4], [5]. Healthy sleep is vital for adolescents' wellbeing [6], affecting their mental health, interpersonal problems [6], and school performance [7]. It is thus important to consider the extent to which contributing factors beyond adolescents' behavioural control (ie, age, gender, day length) influence their sleep, before examining factors within their control (ie, sleep hygiene, parent-set bedtime, alcohol, tobacco) in order to empower adolescents, and their caregivers, with the knowledge and tools to achieve optimal sleep health.

In terms of demographics, younger age is predictive of longer sleep in adolescents, yet effects of gender decrease by mid-adolescents [8]. Sleep hygiene is a factor under behavioural control, and comprises multiple facets that may benefit the sleep of adolescents, including consistent bedtime routines, avoidance of pre-bedtime stimulating substances (eg, caffeine) and activities (eg, technology use), or a comfortable sleep environment (eg, quiet and dark bedroom) [9], [10]. Parent-set bedtimes have recently been shown to be an important determinant of adolescents' sleep, being consistently linked with longer sleep durations (yet not sleep latency) [9], which in turn improve adolescents' daytime alertness and decreasing their fatigue [11], depression, and suicidal ideation [12]. However, the benefits of weekday parent-set bedtime on bedtime and total sleep do not occur when parents' limitations are temporarily removed (ie, weekends) [11].

However, one understudied area are geographic factors, which may influence when adolescents retire for bed, how long it takes them to fall asleep, and how much sleep they obtain. Notably, small shifts in longitude and latitude are suggested to impact bedtime [13], with a trend towards a negative relationship with longitude (ie, further East longitude and earlier bedtime), yet a positive relationship with latitude (ie, further North latitude and later bedtime) [9]. Trends in the association between longitude/latitude and adolescent sleep duration have not appeared [14], however, there is potential for broader ranges in longitude and latitude to allow for differences in sleep duration to be observed (ie, [14] measured adolescents at differences of 6°E and 19°N). Nevertheless, the number of studies into the associations between longitude and latitude with adolescents' sleep is extremely small (ie, four studies to the authors' knowledge) [13], [14], [15], [16], especially when compared to the plethora of studies investigating topical factors (eg, technology use; 67 studies with 5–17 year old participants) [17]. A recent meta-analysis showed the possibility of small relationships between latitude and longitude with adolescents' bedtimes, sleep latency, and total sleep time, yet unfortunately, these were based on only two studies, each with relatively small shifts in longitude and latitude [9]. Of note, changes in longitude and latitude result in variations in sunrise and sunset times, and hence day length. To increase our confidence that there does indeed exist a meaningful association between longitude and latitude (and therefore day length) with adolescents' sleep, more studies are needed. The aim of the present study was to assess the unique impact of day length on adolescents' bedtimes, sleep latency, and total sleep time by sampling across multiple countries with large variations in latitudes (Australia, The Netherlands, Canada, Norway), whilst simultaneously controlling for important factors under behavioural control (ie, sleep hygiene, parent-set bedtimes, demographics).

Section snippets

Participants

A total of 1554 adolescents commenced the survey from all four countries. Of these, 711 (242 m) contributed data (see Table 1). Participants were aged 12–19 yrs (M = 15.7, SD = 1.6). This age range was chosen as sleep patterns start delaying in early teenage years, until the age of 20, and are suggested as the beginning and end of adolescent sleep patterns, respectively [3]. Age and gender demographics were similar for those who provided data compared to all adolescents who started the survey.

Materials

Bedtime

Variables at step 1 predicted 9.9% of the variance in bedtime, R2 = 0.099, F (2,705) = 44.44, p < 0.001. Step 2 explained an additional 15.9% of variance, R2change = 0.159, Fchange (4,701) = 37.59, p < 0.001. Day length explained an additional 2.7% of variance in step 3, R2change = 0.027, Fchange (2,699) = 6.45, p < 0.001. Together, all variables explained 28.6% of variance of bedtime with good sleep hygiene habits having the largest association with earlier bedtimes. See Table 2 for regression

Discussion

A shorter day length uniquely predicted later bedtimes, a shorter sleep onset latency and shorter total sleep time, whereas a longer day length predicted earlier bedtimes and longer sleep duration, in a significant, but small manner. Adolescents in Norway went to bed 18 min later and slept for 29 min less than adolescents in the mid-day length group. Furthermore, adolescents in the longer day length went to bed 15 min earlier and obtained 15 min more sleep than adolescents in the mid length

Funding

This work was supported by the Flinders University School of Psychology ($119.20 to charities on behalf of participants) and the Doctoral Research Award of the Canadian Institutes of Health Research (iPad to a randomly selected Canadian Participant).

Acknowledgements

Australian authors would like to thank our international collaborators, Michelle Short (South Australia), who helped with analysis, and Ben Maddock (South Australia), for assistance setting up surveys between countries.

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