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Examining the day-to-day bidirectional associations between physical activity, sedentary behavior, screen time, and sleep health during school days in adolescents.

ABSTRACT: BACKGROUND:Adolescence is a vulnerable period for experiencing poor sleep health. Growing studies have demonstrated lifestyle behaviors including physical activity (PA), screen time (SCT), and sedentary behaviors (SED) as the potential factors associated with sleep health in adolescents; yet, the evidence is inconclusive and the directionality of temporal associations across school days are not well understood. This study examined the day-to-day bidirectional associations of lifestyle behaviors with sleep health parameters in adolescents. METHODS:A total of 263 adolescents (58% boys) in 6th - 8th grades wore an accelerometer for 24-hour across the three consecutive school days and completed recording SCT in time-diary and answering sleep quality (SQ) questions for each day. Sleep-wake patterns as well as time spent in moderate- and vigorous-intensity PA (MVPA) and SED were objectively quantified from the wrist-worn accelerometry data across the two segments of the day (during and after school hours). Mixed model analyses were conducted to test bidirectional associations between lifestyle factors and sleep health parameters in each temporal direction across the days. Additionally, indirect associations across the days were tested using an autoregressive cross-lagged model analysis in the framework of path analysis. RESULTS:MVPA minutes in a day did not predict sleep health parameters that night. The bidirectional associations were partially observed between SED and sleep health, but the significance and direction of the associations largely varied by the time segment of a day as well as types of sleep health parameters. Additionally, greater SCT during the day was associated with lower SQ that night (b = -0.010; P = .018), and greater SQ was associated with greater MVPA during school hours (b = 6.45; P = .028) and lower SED after school hours (b = -39.85; P = .029) the next day. Lastly, there were significant indirect associations of SCT with sleep health parameters across the days indicating multi-day lagged effects of SCT on sleep health the later nights. CONCLUSION:This study highlights the importance of lowering SCT for better sleep health in adolescents during school days. Additionally, perceived SQ is shown to be a potential significant predictor promoting healthy behaviors the next day independent of sleep-wake patterns. Further studies are warranted to confirm the observed temporal associations between SCT, SQ, and behavioral outcomes in this vulnerable population.

SUBMITTER: Kim Y

PROVIDER: S-EPMC7470331 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Examining the day-to-day bidirectional associations between physical activity, sedentary behavior, screen time, and sleep health during school days in adolescents.

Kim Youngdeok Y Umeda Masataka M Lochbaum Marc M Sloan Robert A RA

PloS one 20200903 9

<h4>Background</h4>Adolescence is a vulnerable period for experiencing poor sleep health. Growing studies have demonstrated lifestyle behaviors including physical activity (PA), screen time (SCT), and sedentary behaviors (SED) as the potential factors associated with sleep health in adolescents; yet, the evidence is inconclusive and the directionality of temporal associations across school days are not well understood. This study examined the day-to-day bidirectional associations of lifestyle be ...[more]

PMID: 32881930

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Project description:BackgroundThe aim of this study was to investigate bidirectional associations between (prolonged) sitting time and sleep duration in 12- to 14-year-old adolescents using a between-subjects and within-subjects analyses approach.MethodsObservational data were used from 108 adolescents (53% girls; mean age 12.9 (SD 0.7) years) from six schools in Flanders, Belgium. The Axivity AX3 triaxial accelerometer, worn on the thigh, was used to assess daily total sitting time and daily time spent in sedentary bouts of ≥30 min (as a proxy for prolonged sitting time). The Fitbit Charge 3 was used to assess nightly sleep duration. Both monitors were worn on schooldays only (ranging from 4 to 5 days). Linear mixed models were conducted to analyse the associations, resulting in four models. In each model, the independent variable (sleep duration, sitting time or prolonged sitting time) was included as within- as well as between-subjects factor.ResultsWithin-subjects analyses showed that when the adolescents sat more and when the adolescents spent more time sitting in bouts of ≥30 min than they usually did on a given day, they slept less during the following night (p = 0.01 and p = 0.05 (borderline significant), respectively). These associations were not significant in the other direction. Between-subjects analyses showed that adolescents who slept more on average, spent less time sitting (p = 0.006) and less time sitting in bouts of ≥30 min (p = 0.004) compared with adolescents who slept less on average. Conversely, adolescents who spent more time sitting on average and adolescents who spent more time sitting in bouts of ≥30 min on average, slept less (p = 0.02 and p = 0.003, respectively).ConclusionsBased on the between-subjects analyses, interventions focusing on reducing or regularly breaking up sitting time could improve adolescents' sleep duration on a population level, and vice versa. However, the within-subjects association was only found in one direction and suggests that to sleep sufficiently during the night, adolescents might limit and regularly break up their sitting time the preceding day.Trial registrationData have been used from our trial registered at ClinicalTrials.gov ( NCT04327414 ; registered on March 11, 2020).

Project description:BackgroundThe heterogeneity of depression and sedentary behavior complicates understanding of mechanisms underlying and interventions addressing comorbid depression and sedentary behavior in adolescents. This study investigated reciprocal associations between four depressive symptom dimensions and two types of screen-based sedentary behaviors in adolescents, and tested whether these associations differed by sex.MethodsA school-based longitudinal cohort (N = =2,717, baseline Mage=14.57 years) completed questionnaires during two assessments one year apart. Participants reported on levels of four depressive symptom dimensions (continuous) and television viewing and computer/videogame use (≥2 h/day; yes vs. no).ResultsReciprocal associations between computer/videogame use and higher negative affect symptoms were observed (computer/video games predicting negative affect, β=0.06, 95%CI 0.01-0.11, p = =0.01; negative affect predicting computer/video games, OR 1.29, 95%CI 1.06-1.58, p = =0.01). The relationship between baseline computer/videogame use and subsequent negative affect differed by sex (p = =0.02), and was significant in girls (β=0.11, 95%CI 0.04-0.18, p = =0.002), but not boys (β=0.004, 95%CI -0.06-0.07, p = =0.90). Baseline computer/videogame use predicted somatic symptoms at follow-up (β=0.06, 95%CI 0.01-0.10, p = =0.02), but the reverse association was non-significant. Higher baseline positive affect predicted computer/videogame use at follow-up (OR 1.16, 95%CI 1.02-1.31, p = =0.02), but the reverse association was non-significant. Television viewing was unrelated to each depressive symptom dimension in either direction.LimitationsSelf-reports may be subject to recall errors and biases, and do not provide clinical diagnoses.ConclusionsAssociations are not uniform across screen-based sedentary behavior type, depressive symptom dimension, and sex. The association between computer/videogame use and negative affect symptoms may be reciprocal across time and particularly robust among girls.

Dataset Information

Examining the day-to-day bidirectional associations between physical activity, sedentary behavior, screen time, and sleep health during school days in adolescents.

Publications

Examining the day-to-day bidirectional associations between physical activity, sedentary behavior, screen time, and sleep health during school days in adolescents.

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