Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study

Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study

Sleep Health xxx (2017) xxx–xxx Contents lists available at ScienceDirect Sleep Health Journal of the National Sleep Foundation journal homepage: sl...

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Sleep Health xxx (2017) xxx–xxx

Contents lists available at ScienceDirect

Sleep Health Journal of the National Sleep Foundation journal homepage: sleephealthjournal.org

Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study Karen A Patte, PhD a,⁎, Adam G Cole, MSc, PhDc b, Wei Qian, MSc b, Scott T Leatherdale, PhD b a b

Department of Health Sciences, Brock University, Niagara Region, 1812 Sir Isaac Brock Way, St Catharines, Ontario, Canada L2S 3A1 School of Public Health and Health Systems, University of Waterloo, 200 University Ave, Waterloo, Ontario, Canada N2L 3G1

a r t i c l e

i n f o

Article history: Received 25 May 2017 Received in revised form 20 July 2017 Accepted 24 July 2017 Available online xxxx Keywords: Sleep Sleep duration School Canada Youth Adolescents School start time

a b s t r a c t Objectives: This study explored school start times (SST) in relation to sleep duration and adherence to guidelines among Canadian youth. Methods: Using Year 4 (2015/2016) data from the Cannabis, Obesity, Mental health, Physical activity, Alcohol use, Smoking, and Sedentary behaviour (COMPASS) study, the sample included 35,821 grade 9-12 students at 78 secondary schools in Ontario and Alberta, Canada. Random intercepts models tested student-reported sleep duration and whether students met sleep recommendations, as a function of SST, controlling for student- (race/ethnicity, grade, sex, travel mode to school) and school-level (school-area urbanicity and median household income) correlates. Results: For each hour delay in SST, students reported an average of almost 7 minutes longer sleep and had 1.17 (adjusted odds ratio; 95% confidence interval, 1.04-1.31) higher odds of meeting the recommendations, with other factors held constant. Conclusions: Potential impacts on student sleep require consideration when deciding on school schedules. Delayed SST warrant further exploration as an intervention to help ameliorate the widespread sleep deprivation found among Canadian youth. © 2017 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

Introduction Adequate sleep is essential for the health and development of adolescents, yet many youth appear sleep deprived. 1,2 In fact, total sleep time has steadily declined among adolescents over the last 100 years, largely because of later bedtimes.2–4 Insufficient sleep places youth at increased risk of obesity, injuries, substance use, and emotional dysregulation5–7 and can impede learning, memory, executive functioning,8,9 and educational achievement.5,10 Sleep is also linked to other health behaviors, including physical activity and dietary intake.5,7 Only recently has the importance of sleep received greater attention within Canada. For instance, the Canadian Academy of Child and Adolescent Psychiatry, the College of Family Physicians of Canada, and the Canadian Sleep Society released a 2014 consensus position statement on the topic.9 Additionally, sleep was first included in the movement guidelines for Canadian children and youth in 2016. 11 According to the new 24-hour recommendations, 14- to 17-year-olds require an ⁎ Corresponding author at: Department of Health Sciences, Brock University, Faculty of Applied Health Sciences, Niagara Region, 1812 Sir Isaac Brock Way, STH 326a, St. Catharines, Ontario, Canada L2S 3A1. Tel.: +1 905 688 5550x3882. E-mail address: [email protected] (K.A. Patte).

average of 8 to 10 hours of uninterrupted sleep per night.11 However, a nationally representative study found that one-third of Canadian youth failed to meet the guidelines, with the majority reporting insufficient sleep (26%).1 Furthermore, evidence from a large youth cohort study suggests that the steady decline in sleep durations witnessed in past research3,4 has continued over recent years, contributing to the growing number of sleep-deficient Canadian youth.2 Among Ontario high school students, more than 40% reported excessive sleepiness,6 and about 1 in 5 reported that their sleep quality was fairly bad or very bad on weeknights compared with 10% on weekend nights.12 Despite going to bed earlier, adolescents typically sleep less on school nights and “catch up” by sleeping later on the weekend,1,6,12 which goes against recommendations for consistent sleep schedules.11 Several external factors and developmental changes are proposed to contribute to youth sleep debts. Among Ontario students, caffeine consumption before bed, inconsistent bedtime routines, and nighttime screen use have been linked to poorer sleep outcomes, including shorter, lower-quality, and less efficient sleep.13,14 On the other hand, parental enforcement of bedtime rules appears protective for children and youth meeting weekday sleep guidelines, yet parents become less involved in sleep routines as their children age.15

http://dx.doi.org/10.1016/j.sleh.2017.07.011 2352-7218/© 2017 National Sleep Foundation. Published by Elsevier Inc. All rights reserved.

Please cite this article as: Patte KA, et al, Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study, Sleep Health (2017), http://dx.doi.org/10.1016/j.sleh.2017.07.011

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K.A. Patte et al. / Sleep Health xxx (2017) xxx–xxx

Sleep duration is consistently shown to decline with increasing age over adolescence. 1,10,16 In addition to the social changes during this period (eg, less parental monitoring, part-time employment, increased academic demands and extracurricular activities), the onset of puberty triggers a natural circadian shift to delayed bedtimes and greater morning sleep needs. In response, several organizations (eg, Canadian Academy of Child and Adolescent Psychiatry, College of Family Physicians of Canada, American Thoracic Society) have recommended later school start times (SST) to align with adolescent sleep patterns. Existing research generally supports delayed SST as advantageous for weekday sleep durations among adolescents,17–22 with later wake times largely accountable for the difference. 18,22 In addition to sleeping longer, students attending schools with later SST report less daytime sleepiness, fewer instances of falling asleep in class, and lower depression symptoms.22 Limited research has explored how SST relate to youth sleep in the Canadian context. SST in Canada are typically later than the SST reported in US studies, whereas school-day wake times among Canadian youth tend to be earlier in comparison to their European counterparts.16 To the authors' knowledge, only 1 population-based Canadian study has examined the association between SST and youth sleep.17 Using data from the Canadian 2013/2014 Health Behavior in School-Aged Children study, Gariépy et al17 found that students attending schools with later start times reported longer sleep durations, were more likely to meet sleep recommendations, and were less likely to feel tired in the morning. Similarly, in a small Quebec study, students assigned to a morning school schedule had shorter objective sleep durations and more daytime sleepiness in comparison to students following an afternoon school schedule, even among morning chronotypes.23 Further exploration within the Canadian context is necessary to inform policy, particularly given the mounting sleep debt found among Canadian youth.2 Moreover, a growing number of school boards are considering adjusting school schedules to save on bussing costs.24 The current study serves to replicate past research in a more recent cohort of Canadian youth. More specifically, we examined SST in relation to sleep durations and adherence to sleep guidelines among students attending secondary schools in Ontario and Alberta, Canada. Participants and methods Design The Cannabis, Obesity, Mental health, Physical activity, Alcohol use, Smoking, and Sedentary behaviour (COMPASS) study was designed to collect hierarchical longitudinal data from a cohort of secondary school students in grades 9 through 12 and the schools they attend in Ontario and Alberta, Canada.25 A full description of COMPASS and its methods is available in print25 or online (www.compass.uwaterloo.ca). All procedures were approved by the University of Waterloo Office of Research Ethics and appropriate school board committees. Participants School boards and schools were purposefully selected based on whether they permitted active-information passive-consent parental permission protocols.25 Eligible schools were approached after board approval. This article used student- and school-level data from Year 4 (Y4; 2015-2016) of the COMPASS study, as it was the most recent data wave available. In Y4, data were collected from 40,436 students (79.9% participation rate) attending 72 Ontario and 9 Alberta secondary schools. Students could decline to participate at any time. Missing respondents resulted primarily from scheduled spares or absenteeism during data collection. After removing 3 schools missing start time data, and students with missing sleep data (n = 317) or with sleep duration responses

interpreted as probable misreports (less than 1 hour; n = 2119), the sample included 36,804 students and the 78 schools they attended. Consistent with previous research, 15 students with sleep durations considered outliers (≥3 SDs below the sample mean) were excluded (n = 669). The final sample included 35,821 students with full data. Data collection tool The COMPASS questionnaire (Cq) collects student-level data pertaining to multiple health behaviors and demographic characteristics. In each school, the Cq was completed by whole-school samples during class time. Cq items were based on national standards or current national public health guidelines. 13 Measures Student-level measures Sleep duration was assessed by asking students how much time in hours and 15-minute intervals they usually spend sleeping per day. Responses were classified as either “meets recommendations” (≥8 hours) or “insufficient sleep” (b8 hours) according to guidelines for Canadian youth aged 14-17 years.11 Method of travel to school was included in the model, as some modes potentially require earlier wake times and certain schools may have a larger proportion of students commuting by particular methods. Response options included “by car (as a passenger)”; “by car (as a driver)”; “by school bus”; “by public bus, subway, or streetcar”; “by walking”; “by bicycling”; and “other.” Response options were collapsed into 5 categories: car, school bus, walking/ bicycling, public transit, and “other.” Student-level correlates included student-identified sex (male, female), grade (9-12), and race/ethnicity (White, Black, Asian, Latin American/Hispanic, Off-Reserve Aboriginal, other/mixed). School-level measures School start times (SST) were defined as the start of the first morning class. SST for each school were obtained by consulting school Web sites and/or handbooks. School-level correlates included school-area average median household income and urbanicity. Median household income was generated using the census divisions that corresponded with school postal codes according to data from the 2011 National Household Survey. Urbanicity was determined based on school postal codes and Statistics Canada classifications of “rural” area and “small,” “medium,” and “large urban” population centers.26 Rural and smallpopulation-center categories were collapsed based on the low frequency of rural schools. Analyses All analyses were implemented in SAS (Cary, NC) 9.4. Frequencies of student- and school-level characteristics were calculated. χ2 tests were performed according to whether students met the sleep duration guidelines. Two random intercept regression models were conducted: a linear regression model of SST as a predictor of student sleep duration and a logistic regression model of SST as a predictor of students meeting sleep recommendations (≥8 hours). Both models included the school- (median household income, urbanicity) and student-level correlates (grade, sex, ethnicity, travel mode to school). Results See Table 1 for student- and school-level descriptive statistics. SST ranged from 8:00 to 9:35 AM (mean = 8:32:37 AM ± SD 22:32;

Please cite this article as: Patte KA, et al, Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study, Sleep Health (2017), http://dx.doi.org/10.1016/j.sleh.2017.07.011

K.A. Patte et al. / Sleep Health xxx (2017) xxx–xxx

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Table 1 Descriptive statistics and random intercept models predicting whether grade 9-12 students were meeting the sleep recommendations, 2015-2016 COMPASS study

Student-level variables Sex Female Male Grade 9 10 11 12 Ethnicity White Black Asian Off-Reserve Aboriginal Hispanic/Latin American Other/mixed Travel mode to school School bus Walking/bicycling Car Public transit Other School-level variables (n) Urbanicity Large urban (31) Medium urban (12) Small/rural (35) Median household income $25,000-$50,000 (8) $50,000-75,000 (51) $75,000-100,000 (16) N$100,000 (3) School Start time

Insufficient sleep (b8 h)a (n = 20,130) % (n)

Met guidelines (≥8 h) (n = 16,005) % (n)

Model 2: meeting guidelines ARR

95% CI

58.5 (10,253) 53.1 (9742)

41.5 (7273)⁎ 46.9 (8593)

1.00 (ref) 1.14

(1.11-1.18)

47.5 (4409) 54.2 (5175) 60.0 (5517) 62.1 (5004)

52.5 (4867)⁎ 45.8 (4369) 40.0 (3674) 37.9 (3059)

1.00 (ref) 0.87 0.76 0.72

(0.85-0.90) (0.74-0.79) (0.69-0.74)

54.2 (13,446) 59.2 (920) 63.7 (1360) 52.2 (445) 59.5 (443) 17.5 (3516)

45.8 (11,380)⁎ 40.8 (635) 36.3 (775) 47.8 (407) 40.5 (301) 15.7 (2507)

1.00 (ref) 0.94 0.84 0.95 0.91 0.94

(0.86-1.02) (0.79-0.89) (0.88-1.03) (0.83-0.99) (0.91-0.97)

54.9 (8170) 55.9 (2619) 56.4 (7834) 61.5 (733) 45.3 (151)

45.1 (6705) 44.1 (2065)⁎ 43.6 (6066) 38.5 (459) 54.7 (182)

1.00 (ref) 1.01 1.05 0.96 1.29

(0.98-1.05) (1.01-1.08) (0.90-1.03) (1.18-1.41)

58.0 (11,278) 56.7 (3020) 52.6 (5832)

42.0 (8154)⁎ 46.3 (2601) 47.4 (5250)

1.00 (ref) 1.05 1.08

(0.97-1.13) (1.03-1.14)

59.3 (2834) 54.8 (11,358) 55.9 (4890) 55.5 (1048)

40.7 (1943)⁎ 45.2 (9371) 44.1 (3851) 44.5 (840)

1.00 (ref) 1.07 1.11 1.15 1.10

(0.98-1.17) (1.00-1.22) (1.05-1.27) (1.04-1.16)

a Cut-off based on sleep recommendations of 8-10 hours per day for youth. ⁎ All χ2 tests P b .0001.

median = 8:42:30 AM). The daily mean sleep duration was 7.24 hours (± SD 1.41). Females reported shorter sleep durations than males, with a mean of 7.16 hours (±SD 1.41) compared with 7.33 hours (± SD 1.40) for male students (P b .0001). Overall, 58.5% of female and 53.1% of male students did not meet the sleep recommendations. See Table 1 for the logistic regression model results and Table 2 for the linear regression model results. For each hour delay in SST, students reported an average of 6.57 (95% confidence interval [CI], 1.49-11.68) additional minutes of sleep and had 1.17 (adjusted odds ratio; 95% CI, 1.04-1.31; P = .0009) higher odds of meeting the sleep guidelines, with other factors held constant. In both models, better sleep outcomes were associated with identifying as male and attending schools in areas with higher median household incomes, and with populations classified as small/rural, whereas identifying as non-White ethnicity and being in older grades were associated with less favorable sleep outcomes. In terms of travel mode to school, arriving to school by car (either as a passenger or as a driver) was advantageous for sleep in comparison to riding the school bus. Reports of “other” were also beneficial for sleep relative to taking the school bus but should be interpreted with caution given the small frequency of this response (0.92% [n = 333] of total sample).

Discussion Our results support the benefits of later SST. Overall, less than half of youth met the recommendations of 8-10 hours per night, with students at schools with later start times more likely to report adequate

sleep. For each hour delay in SST, average nightly sleep duration increased by almost 7 minutes. Over the course of a school week, students attending schools starting 1 hour later could accumulate nearly 35 minutes of additional sleep. Longer sleep gains were found in a previous report, the only comparable Canadian study conducted to date.17 A 1-hour delay in SST corresponded with 19.2 additional minutes of sleep and a 9% greater probability of meeting the guidelines. 16 The younger sample (grade 6-10) relative to the current study (grade 9-12) may account for the difference. Also, only a handful of schools in the current study had start times of 9:00 AM or later. SST in Ontario and Alberta secondary schools ranged from 8:00 to 9:35 AM. This range is consistent with a nationally representative sample 17 but generally later than reported among US schools. About 50% (44/78) of participating schools started at 8:30 AM or later, as recommended by the American Academy of Pediatrics. 16 To date, no Canadian recommendations have been made for SST. Based on the current results and past research, policies regarding SST merit consideration, particularly targeting older students given the grade effect on sleep. Nonetheless, based on the effect size of SST, a multipronged strategy will likely be required to ameliorate the pervasive sleep debt among Canadian students. 1,2 At the least, protecting youth sleep warrants greater attention with the growing number of school boards shifting SST to save on bussing costs. 24 The longitudinal and hierarchical design of the COMPASS host study will allow for further research evaluating the impact SST changes have on students' sleep and other outcomes (eg, physical and sedentary activity, academic achievement, mental health) over time.

Please cite this article as: Patte KA, et al, Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study, Sleep Health (2017), http://dx.doi.org/10.1016/j.sleh.2017.07.011

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K.A. Patte et al. / Sleep Health xxx (2017) xxx–xxx

Table 2 Random intercept model of SST predicting student-reported sleep duration (hours/ day) among youth, 2015-2016 COMPASS study

partnership with CIHR Institute of Neurosciences, Mental Health, and Addiction and Institute of Population and Public Health. Adam Cole is funded by the CIHR.

Model 1: sleep duration Est Student-level variables Sex Female Male Grade 9 10 11 12 Ethnicity White Black Asian Off-Reserve Aboriginal Hispanic/Latin American Other/mixed Travel mode to school School bus Walking/bicycling Car Public transit Other School-level variables Urbanicity Large urban (31) Medium urban (12) Small/rural (35) Median household annual income $25,000-$50,000 (8) $50,000-75,000 (51) $75,000-100,000 (16) N$100,000 (3) School start time

95% CI

0.00 (ref) 10.99

(9.22-12.76)

0.00 (ref) −11.11 −20.84 −24.96

(−13.55 to −8.68) (−23.31 to −18.37) (−27.55 to −22.37)

0.00 (ref) −9.71 −10.59 −10.19 −11.36 −5.75

(−14.23 to −5.18) (−14.45 to −6.74) (−16.32 to −4.06) (−17.66 to −5.07) (−8.21 to −3.28)

0.00 (ref) 1.76 3.14 −4.42 23.16

(−1.12 to 4.63) (1.09-5.20) (−9.77 to 0.94) (13.81-32.50)

0.00 (ref) 3.52 4.98

(−2.25 to 9.29) (0.61-9.35)

0.00 (ref) 5.30 7.84 10.44 6.57

(−1.00 to 11.60) (0.76-14.91) (−0.34 to 21.23) (1.49-11.65)

A number of limitations require mention. First, self-report measures are subject to recall and social desirability biases and can overestimate sleep duration compared with objective methods. 27 However, self-report sleep surveys have been validated for studying group differences in large youth samples.28,29 Second, only sleep duration was assessed. Future studies should include related measures, such as bed and wake times and sleepiness during the day. Third, sleep was assessed by self-reported average sleep duration without differentiation between school days and weekends. It is plausible that results underestimate the association between SST and sleep duration on school nights, as students may catch up on lost sleep over the weekend. Lastly, the COMPASS study was not designed to be representative, and the Y4 sample does not include schools outside of Ontario and Alberta. Competing interests The authors have no competing interests to declare. Funding The COMPASS study was supported by a bridge grant from the Canadian Institutes of Health Research (CIHR) Institute of Nutrition, Metabolism, and Diabetes through the “Obesity—Interventions to Prevent or Treat” priority funding awards (OOP-110788; grant awarded to ST Leatherdale) and an operating grant from the CIHR Institute of Population and Public Health (MOP-114875; grant awarded to ST. Leatherdale). Dr Leatherdale is a Chair in Applied Public Health funded by the Public Health Agency of Canada in

References 1. Chaput J-P, Janssen I. Sleep duration estimates of Canadian children and adolescents. J Sleep Res. 2016;25(5):541–548. http://dx.doi.org/10.1111/jsr.12410. 2. Patte KA, Qian W, Leatherdale ST. Sleep duration trends and trajectories among youth in the COMPASS study. Sleep Health. 2017. http://dx.doi.org/10.1016/j.sleh. 2017.06.006. Available online: July 12, 2017. 3. Matricciani L, Olds T, Petkov J. In search of lost sleep: secular trends in the sleep time of school-aged children and adolescents. Sleep Med Rev. 2012;16(3): 203–211. http://dx.doi.org/10.1016/j.smrv.2011.03.005. 4. Keyes KM, Maslowsky J, Hamilton A, Schulenberg J. The great sleep recession: changes in sleep duration among US adolescents, 1991-2012. Pediatrics. 2015; 135(3):460–468. 5. Chaput J-P, Gray CE, Poitras VJ, et al. Systematic review of the relationships between sleep duration and health indicators in school-aged children and youth. Appl Physiol Nutr Metab. 2016;41(6 Suppl. 3):S266–S282. http://dx.doi.org/10. 1139/apnm-2015-0627. 6. Shochat T, Cohen-Zion M, Tzischinsky O. Functional consequences of inadequate sleep in adolescents: a systematic review. Sleep Med Rev. 2014;18(1):75–87. http://dx.doi.org/10.1016/j.smrv.2013.03.005. 7. Khan MKA, Chug YL, Kirk SFL, Veugelers PJ. Are sleep duration and sleep quality associated with diet quality, physical activity, and body weight status? A population-based study of Canadian children. Can J Public Health. 2015;106(5): e277–e282. 8. Anderson B, Storfer-Isser A, Taylor HG, Rosen CL, Redline S. Associations of executive function with sleepiness and sleep duration in adolescents. Pediatrics. 2009; 123(4):e701–e707. http://dx.doi.org/10.1542/peds.2008-1182. 9. Gruber R, Carrey N, Weiss SK, et al. Position statement on pediatric sleep for psychiatrists. J Can Acad Child Adolesc Psychiatry. 2014;23(3):174–195. 10. Gibson ES, Powles ACP, Thabane L, et al. "Sleepiness" is serious in adolescence: two surveys of 3235 Canadian students. BMC Public Health. 2006;6:116. 11. Tremblay MS, Carson V, Chaput J-P, et al. Canadian 24-hour movement guidelines for children and youth: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. 2016;41(6 Suppl. 3):S311–S327. http://dx. doi.org/10.1139/apnm-2016-0151. 12. Narang I, Manlhiot C, Davies-Shaw J, Gibson D, Chahal N, Stearne K, Fisher A, Dobbin S, McCrindle BW. Sleep disturbance and cardiovascular risk in adolescents. CMAJ. 2012;184(17):E913–D920. 13. Chahal H, Fung C, Kuhle S, Veugelers PJ. Availability and night-time use of electronic entertainment and communication devices are associated with short sleep duration and obesity among Canadian children. Pediatr Obes. 2013;8(1):42–51. 14. Dube N, Khan Loehr S, Chu Y, Veugelers P. The use of entertainment and communication technologies before sleep could affect sleep and weight status: a population-based study among children. Int J Behav Nutr Phys Act. 2017;14:97. 15. Pyper E, Harrington D, Manson H. Do parents' support behaviours predict whether or not children get sufficient sleep? A cross-sectional study. BMC Public Health. 2017;17:432. 16. Gradisar M, Gardner G, Dohnt H. Recent worldwide sleep patterns and problems during adolescence: a review and meta-analysis of age, region, and sleep. Sleep Med. 2011;12(2):110–118. 17. Gariépy G, Janssen I, Sentenac M, Elgar FJ. School start time and sleep in Canadian adolescents. J Sleep Res. 2017;26(2):195–201. http://dx.doi.org/10.1111/jsr.12475. 18. Minges KE, Redeker NS. Delayed school start times and adolescent sleep: a systematic review of the experimental evidence. Sleep Med Rev. 2016;28:86–95. http://dx.doi.org/10.1016/j.smrv.2015.06.002. 19. Paksarian D, Rudolph KE, He J-P, Merikangas KR. School start time and adolescent sleep patterns: results from the US national comorbidity survey—adolescent supplement. Am J Public Health. 2015;105(7):1351–1357. 20. Thacher PV, Onyper SV. Longitudinal outcomes of start time delay on sleep, behavior, and achievement in high school. Sleep. 2016;39(2):271–281. http://dx.doi.org/ 10.5665/sleep.5426. 21. Wahlstrom KL, Berger AT, Widome R. Relationships between school start time, sleep duration, and adolescent behaviors. Sleep Health. 2017;3(3):216–221. http://dx.doi.org/10.1016/j.sleh.2017.03.002. 22. Wheaton AG, Chapman DP, Croft JB. School start times, sleep, behavioral, health, and academic outcomes: a review of the literature. J Sch Health. 2016;86(5): 363–381. 23. Martin JS, Gaudreault MM, Perron M, Laberge L. Chronotype, light exposure, sleep, and daytime functioning in high school students attending morning or afternoon school shifts: an actigraphic study. J Biol Rhythms. 2016;31(2):205–217. 24. Gordon Andrea. Plan to change school start times in Durham has parents scrambling | Toronto Star. thestar.com https://www.thestar.com/yourtoronto/ education/2017/03/10/plan-to-change-school-start-times-in-durham-hasparents-scrambling.html, Accessed date: 19 May 2017. [Published March 10, 2017]. 25. Leatherdale ST, Brown KS, Carson V, et al. The COMPASS study: a longitudinal hierarchical research platform for evaluating natural experiments related to changes in school-level programs, policies and built environment resources. BMC Public Health. 2014;14(1):331. http://dx.doi.org/10.1186/1471-2458-14-331.

Please cite this article as: Patte KA, et al, Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study, Sleep Health (2017), http://dx.doi.org/10.1016/j.sleh.2017.07.011

K.A. Patte et al. / Sleep Health xxx (2017) xxx–xxx 26. Government of Canada SC. Archived—from urban areas to population centres. http://www.statcan.gc.ca/eng/subjects/standard/sgc/notice/sgc-06, Accessed date: 19 May 2017. [Published February 7, 2011]. 27. Girschik J, Fritschi L, Heyworth J, Waters F. Validation of self-reported sleep against actigraphy. J Epidemiol. 2012;22(5):462–468. http://dx.doi.org/10.2188/jea.JE20120012.

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28. Tremaine RB, Dorrian J, Blunden S. Measuring sleep habits using the sleep timing questionnaire: a validation study for school-age children. Sleep Biol Rhythms. 2010;8(3):194–202. http://dx.doi.org/10.1111/j.1479-8425.2010.00446.x. 29. Wolfson AR, Carskadon MA, Acebo C, et al. Evidence for the validity of a sleep habits survey for adolescents. Sleep. 2003;26(2):213–217.

Please cite this article as: Patte KA, et al, Youth sleep durations and school start times: a cross-sectional analysis of the COMPASS study, Sleep Health (2017), http://dx.doi.org/10.1016/j.sleh.2017.07.011