Sleep Timing During Adolescence: A Latent Transition Analysis Approach

References

• Arora, T., Broglia, E., Pushpakumar, D., Lodhi, T., & Taheri, S. (2013). An investigation into the strength of the association and agreement levels between subjective and objective sleep duration in adolescents. PLoS One, 8, e72406. doi:10.1371/journal.pone.0072406
   PubMed Web of Science ®Google Scholar
• Arora, T., Broglia, E., Thomas, G. N., & Taheri, S. (2014). Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias. Sleep Medicine, 15, 240–247. doi:10.1016/j.sleep.2013.08.799
   PubMed Web of Science ®Google Scholar
• Asarnow, L. D., McGlinchey, E., & Harvey, A. G. (2014). The effects of bedtime and sleep duration on academic and emotional outcomes in a nationally representative sample of adolescents. Journal of Adolescent Health, 54, 350–356. doi:10.1016/j.jadohealth.2013.09.004
   PubMed Web of Science ®Google Scholar
• Asparouhov, T., & Muthén, B. (2014). Auxiliary variables in mixture modeling: Three step approaches using Mplus. Structural Equation Modeling, 21, 329–341. doi:10.1080/10705511.2014.915181
   Web of Science ®Google Scholar
• Attard, K., Blunden, S., & Clarkson, L. (2017). Australian indigenous paediatric sleep: a descriptive snapshot. Australian Aboriginal Studies Journal, 1(1), 44–55.
   Google Scholar
• Australian Bureau of Statistics. (2006). An introduction to socio-economic indexes for areas (SEIFA). Canberra, Australia: Author.
   Google Scholar
• Australian Bureau of Statistics. (2008, July). Australian Standard Geographical Classification (ASGC). Canberra, Australia: Author.
   Google Scholar
• Bartel, K. A., Gradisar, M., & Williamson, P. (2015). Protective and risk factors for adolescent sleep: A meta-analytic review. Sleep Medicine Reviews, 21, 72–85. doi:10.1016/j.smrv.2014.08.002
   PubMed Web of Science ®Google Scholar
• Bauducco, S. V., Flink, I. K., Jansson-Fröjmark, M., & Linton, S. J. (2016). Sleep duration and patterns in adolescents: Correlates and the role of daily stressors. Sleep Health, 2, 211–218. doi:10.1016/j.sleh.2016.05.006
   PubMed Web of Science ®Google Scholar
• Bei, B., Allen, N. B., Nicholas, C. L., Dudgeon, P., Murray, G., & Trinder, J. (2014). Actigraphy-assessed sleep during school and vacation periods: A naturalistic study of restricted and extended sleep opportunities in adolescents. Journal of Sleep Research, 23, 107–117. doi:10.1111/jsr.12080
   PubMed Web of Science ®Google Scholar
• Bei, B., Wiley, J. F., Trinder, J., & Manber, R. (2016). Beyond the mean: A systematic review on the correlates of daily intraindividual variability of sleep/wake patterns. Sleep Medicine Reviews, 28, 108–124. doi:10.1016/j.smrv.2015.06.003
   PubMed Web of Science ®Google Scholar
• Blake, M. J., Sheeber, L. B., Youssef, G. J., Raniti, M. B., & Allen, N. B. (2017). Systematic review and meta-analysis of adolescent cognitive-behavioral sleep interventions. Clinical Child and Family Psychology Review, 20, 227–249. doi:10.1007/s10567-017-0234-5
   PubMed Web of Science ®Google Scholar
• Blunden, S., Benveniste, T., & Thompson, K. (2016). Putting children’s sleep problems to bed: Using behavior change theory to increase the success of children’s sleep education programs and contribute to healthy development. Children, 3, 11. doi:10.3390/children3030011
   Google Scholar
• Blunden, S. L., & Rigney, G. (2015). Lessons learned from sleep education in schools: A review of dos and don’ts. Journal of Clinical Sleep Medicine, 11(6), 671–680. doi:10.5664/jcsm.4782
   PubMed Web of Science ®Google Scholar
• Colrain, I. M., & Baker, F. C. (2011). Changes in sleep as a function of adolescent development. Neuropsychology Review, 21, 5–21. doi:10.1007/s11065-010-9155-5
   PubMed Web of Science ®Google Scholar
• Crockett, L. J., & Petersen, A. C. (1987). Pubertal status and psychosocial development: Findings from the early adolescence study (Faculty Publications, Department of Psychology, Paper 227). Lincoln, NE: Univeristy of Nebraska-Lincoln
   Google Scholar
• Crowley, S. J., Wolfson, A. R., Tarokh, L., & Carskadon, M. A. (2018). An update on adolescent sleep: New evidence informing the perfect storm model. Journal of Adolescence, 67, 55–65. doi:10.1016/j.adolescence.2018.06.001
   PubMed Web of Science ®Google Scholar
• Crowley, S. J., Acebo, C., & Carskadon, M. A. (2007). Sleep, circadian rhythms, and delayed sleep phase in adolescence. Sleep Medicine, 8(6), 602–612. doi: 10.1016/j.sleep.2006.12.002
   PubMed Web of Science ®Google Scholar
• DeMartini, K. S., & Fucito, L. M. (2014). Variations in sleep characteristics and sleep-related impairment in at-risk college drinkers: A latent profile analysis. Health Psychology, 33, 1164–1173. doi:10.1037/hea0000115
   PubMed Web of Science ®Google Scholar
• Enders, C. K., & Bandalos, D. L. (2009). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8, 430–457. doi:10.1207/S15328007SEM0803_5
   Google Scholar
• Feinberg, I., & Campbell, I. G. (2010). Sleep EEG changes during adolescence: An index of a fundamental brain reorganization. Brain and Cognition, 72, 56–65. doi:10.1016/j.bandc.2009.09.008
   PubMed Web of Science ®Google Scholar
• Golley, R. K., Maher, C. A., Matricciani, L., & Olds, T. S. (2013). Sleep duration or bedtime? Exploring the association between sleep timing behaviour, diet and BMI in children and adolescents. International Journal of Obesity, 37(4), 546–551. doi: 10.1038/ijo.2012.212
   PubMed Web of Science ®Google Scholar
• Gradisar, M., Dohnt, H., Gardner, G., Paine, S., Starkey, K., Menne, A., … Trenowden, S. (2011a). A randomized controlled trial of cognitive-behavior therapy plus bright light therapy for adolescent delayed sleep phase disorder. Sleep, 34, 1671–1680. doi:10.5665/sleep.1432
   PubMed Web of Science ®Google Scholar
• Gradisar, M., Gardner, G., & Dohnt, H. (2011b). Recent worldwide sleep patterns and problems during adolescents: A review and meta-analysis of age, region, and sleep. Sleep Medicine, 12, 110–118. doi:10.1016/j.sleep.2010.11.008
   PubMed Web of Science ®Google Scholar
• Gray, M., & Sanson, A. (2005). Growing up in australia: the longitudinal study of australian children. Family Matters, 72, 4–9.
   Google Scholar
• Gruber, R. (2017). School-based sleep education programs: A knowledge-to-action perspective regarding barriers, proposed solutions, and future directions. Sleep Medicine Reviews, 36, 13–28. doi:10.1016/j.smrv.2016.10.001
   PubMed Web of Science ®Google Scholar
• Hagenaars, J. A., & McCutcheon, A. (2002). Applied latent class analysis. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Hagenauer, M. H., Perryman, J. I., Lee, T. M., & Carskadon, M. A. (2009). Adolescent changes in the homeostatic and circadian regulation of sleep. Developmental Neuroscience, 31, 276–284. doi:10.1159/000216538
   PubMed Web of Science ®Google Scholar
• Hale, L., Kirschen, G. W., LeBourgeois, M. K., Gradisar, M., Garrison, M. M., Montgomery-Downs, H., … Buxton, O. M. (2018). Youth screen media habits and sleep: Sleep-friendly screen behavior recommendations for clinicians, educators, and parents. Child and Adolescent Psychiatric Clinics of North America, 27, 229–245. doi:10.1016/j.chc.2017.11.014
   PubMed Web of Science ®Google Scholar
• Harvey, A. G., Hein, K., Dolsen, M., Dong, L., & Blum, D. J. (2018). Modifying the impact of eveningness chronotype (“night-owls”) in youth: a randomized controlled trial. Journal of The American Academy Of Child and Adolescent Psychiatry, 57(1), 742–754. doi: 10.1016/j.jaac.2018.04.020
   PubMedGoogle Scholar
• Jankowski, K. S. (2017). Social jet lag: Sleep-corrected formula. Chronobiology International, 34, 531–535. doi:10.1080/07420528.2017.1299162
   PubMed Web of Science ®Google Scholar
• Jung, T., & Wickrama, K. A. S. (2008). An introduction to latent class growth analysis and growth mixture modeling. Social and Personality Psychology Compass, 2, 303–317. doi:10.1111/j.1751-9004.2007.00054.x
   Google Scholar
• Kohler, M. J., & van den Heuvel, C. J. (2008). Is There a Clear Link between Overweight/obesity and Sleep Disordered Breathing in Children? Sleep Medicine Reviews, 12(5), 347–361. doi: 10.1016/j.smrv.2008.04.008
   PubMed Web of Science ®Google Scholar
• Lanza, S. T., Bray, B. C., & Collins, L. M. (2012). An introduction to latent class and latent transition analysis. In I. B. Weiner, J. A. Schinka, & W. F. Velicer. (Eds.). Handbook of psychology, research methods in psychology (pp. 691–713). New Jersey: John Wiley & Sons.
   Google Scholar
• Lauderdale, D. S. (2014). Survey questions about sleep duration: Does asking separately about weekdays and weekends matter? Behavioral Sleep Medicine, 12, 158–168. doi:10.1080/15402002.2013.778201
   PubMed Web of Science ®Google Scholar
• Magee, C. A., Reddy, P., Robinson, L., & McGregor, A. (2016). Sleep quality subtypes and obesity. Health Psychology, 35(12), 1289–1297. doi:10.1037/hea0000370
   PubMed Web of Science ®Google Scholar
• Malone, S. K., Zemel, B., Compher, C., Souders, M., Chittams, J., Thompson, A. L., … Lipman, T. H. (2016). Social jet lag, chronotype and body mass index in 14–17-year-old adolescents. Chronobiology International, 33, 1255–1266. doi:10.1080/07420528.2016.1196697
   PubMed Web of Science ®Google Scholar
• Mazzer, K., Bauducco, S., Linton, S. J., & Boersma, K. (2018). Longitudinal associations between time spent using technology and sleep duration among adolescents. Journal of Adolescence, 66, 112–119. doi:10.1016/j.adolescence.2018.05.004
   PubMed Web of Science ®Google Scholar
• Minges, K. E., & Redeker, N. S. (2016). Delayed school start times and adolescent sleep: A systematic review of the experimental evidence. Sleep Medicine Reviews, 28, 86–95. doi:10.1016/j.smrv.2015.06.002
   PubMed Web of Science ®Google Scholar
• Moore, M., Kirchner, H. L., Drotar, D., Johnson, N., Rosen, C., & Redline, S. (2011). Correlates of adolescent sleep time and variability in sleep time: The role of individual and health related characteristics. Sleep Medicine, 12, 239–245. doi:10.1016/j.sleep.2010.07.020
   PubMed Web of Science ®Google Scholar
• Muthén, B. (2003). Statistical and substantive checking in growth mixture modeling: Comment on Bauer and Curran (2003). Psychological Methods, 8, 369–377. doi:10.1037/1082-989X.8.3.369
   PubMed Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998–2017). Mplus user’s guide (8th ed.). Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• Muthén, L. K., & Muthén, B. O. (2000). Integrating person-centered and variable-centered analysis: Growth mixture modeling with latent trajectory classes. Alcoholism, 24, 882–891. doi:10.1111/j.1530-0277.2000.tb02070.x
   Google Scholar
• Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: a monte carlo simulation study. Structural Equation Modeling, 14(4), 535–569. doi: 10.1080/10705510701575396
   Web of Science ®Google Scholar
• Olds, T., Blunden, S., Petkov, J., & Forchino, F. (2010). The relationships between sex, age, geography and time in bed in adolescents: A meta-analysis of data from 23 countries. Sleep Medicine Reviews, 14, 371–378. doi:10.1016/j.smrv.2009.12.002
   PubMed Web of Science ®Google Scholar
• Olds, T., Maher, C., Blunden, S., & Matricciani, L. (2010). Normative data on the sleep habits of Australian children and adolescents. Sleep, 33, 1381–1388. doi:10.1093/sleep/33.10.1381
   PubMed Web of Science ®Google Scholar
• Osborne, D., & Sibley, C. G. (2017). Identifying “types” of ideologies and intergroup biases: Advancing a person-centred approach to social psychology. European Review of Social Psychology, 28, 288–332. doi:10.1080/10463283.2017.1379265
   Web of Science ®Google Scholar
• Owens, J.; Adolescent Sleep Working Group, & Committee on Adolescence. (2014). Insufficient sleep in adolescents and young adults: An update on causes and consequences. Pediatrics, 134, e921–e932. doi:10.1542/peds.2013-3604
   PubMed Web of Science ®Google Scholar
• Roenneberg, T., Wirz-Justice, A., & Merrow, M. (2003). Life between clocks: Daily temporal patterns of human chronotypes. Journal of Biological Rhythms, 18, 80–90. doi:10.1177/0748730402239679
   PubMed Web of Science ®Google Scholar
• Tan, E., Healey, D., Gray, A. R., & Galland, B. C. (2012). Sleep hygiene intervention for youth aged 10–18 years with problematic sleep: A before-after pilot study. BMC Pediatrics, 12, 189. doi:10.1186/1471-2431-12-34
   PubMed Web of Science ®Google Scholar
• Tavernier, R., & Willoughby, T. (2013). Are all evening-types doomed? Latent class analyses of perceived morningness–Eveningness, sleep and psychosocial functioning among emerging adults. Chronobiology International, 31, 232–242. doi:10.3109/07420528.2013.843541
   PubMed Web of Science ®Google Scholar
• Varni, J. W., Seid, M., & Rode, C. A. (1999). The PedsQL™: Measurement model for the Pediatric Quality of Life Inventory™. Medical Care, 37, 126–139.
   PubMed Web of Science ®Google Scholar
• Wittmann, M., Dinich, J., Merrow, M., & Roenneberg, T. (2006). Social jetlag: Misalignment of biological and social time. Chronobiology International, 23, 497–509. doi:10.1080/07420520500545979
   PubMed Web of Science ®Google Scholar
• Wolfson, A. R., & Carskadon, M. A. (1998). Sleep schedules and daytime functioning in adolescents. Child Development, 69, 875–887. doi:10.1111/j.1467-8624.1998.tb06149.x
   PubMed Web of Science ®Google Scholar
• Yildirim, A., & Boysan, M. (2017). Heterogeneity of sleep quality based on the Pittsburgh Sleep Quality Index in a community sample: A latent class analysis. Sleep and Biological Rhythms, 15, 197–205. doi:10.1007/s41105-017-0097-7
   Web of Science ®Google Scholar
• Yu, J., Mahendran, R., Abdullah, F. N. M., Kua, E. H., & Feng, L. (2017). Self-reported sleep problems among the elderly: A latent class analysis. Psychiatry Research, 258, 415–420. doi:10.1016/j.psychres.2017.08.078
   PubMed Web of Science ®Google Scholar