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How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents
by
Štefelová, Nikola
, Jakubec, Lukáš
, Hron, Karel
, Rubín, Lukáš
, Pedišić, Željko
, Gába, Aleš
, Dygrýn, Jan
in
24-h movement guidelines
/ Accelerometers
/ Analysis
/ Behavior
/ Behavioral Sciences
/ Clinical Nutrition
/ confidence interval
/ Epidemiology
/ Exercise
/ Health Promotion and Disease Prevention
/ Health screening
/ Medicine
/ Medicine & Public Health
/ nutrition
/ physical activity
/ public health
/ regression analysis
/ Schools
/ Screen time
/ Sedentary behavior
/ sedentary lifestyle
/ Sleep
/ Sleep duration
/ Software
/ Statistical analysis
/ Teenagers
/ Time management
/ Time-use epidemiology
/ Youth
2020
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How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents
by
Štefelová, Nikola
, Jakubec, Lukáš
, Hron, Karel
, Rubín, Lukáš
, Pedišić, Željko
, Gába, Aleš
, Dygrýn, Jan
in
24-h movement guidelines
/ Accelerometers
/ Analysis
/ Behavior
/ Behavioral Sciences
/ Clinical Nutrition
/ confidence interval
/ Epidemiology
/ Exercise
/ Health Promotion and Disease Prevention
/ Health screening
/ Medicine
/ Medicine & Public Health
/ nutrition
/ physical activity
/ public health
/ regression analysis
/ Schools
/ Screen time
/ Sedentary behavior
/ sedentary lifestyle
/ Sleep
/ Sleep duration
/ Software
/ Statistical analysis
/ Teenagers
/ Time management
/ Time-use epidemiology
/ Youth
2020
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How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents
by
Štefelová, Nikola
, Jakubec, Lukáš
, Hron, Karel
, Rubín, Lukáš
, Pedišić, Željko
, Gába, Aleš
, Dygrýn, Jan
in
24-h movement guidelines
/ Accelerometers
/ Analysis
/ Behavior
/ Behavioral Sciences
/ Clinical Nutrition
/ confidence interval
/ Epidemiology
/ Exercise
/ Health Promotion and Disease Prevention
/ Health screening
/ Medicine
/ Medicine & Public Health
/ nutrition
/ physical activity
/ public health
/ regression analysis
/ Schools
/ Screen time
/ Sedentary behavior
/ sedentary lifestyle
/ Sleep
/ Sleep duration
/ Software
/ Statistical analysis
/ Teenagers
/ Time management
/ Time-use epidemiology
/ Youth
2020
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How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents
Journal Article
How do short sleepers use extra waking hours? A compositional analysis of 24-h time-use patterns among children and adolescents
2020
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Overview
Background
To examine compositional associations between short sleep duration and sedentary behavior (SB), light physical activity (LPA) and moderate-to-vigorous physical activity (MVPA) among children and adolescents.
Methods
Multi-day 24-h data on sleep, SB, LPA and MVPA were collected using accelerometers among 343 children (8–13 years old) and 316 adolescents (14–18 years old). Children and adolescents with sleep duration of < 9 and < 8 h, respectively, were classified as short sleepers. Robust compositional regression analysis was used to examine the associations between short sleep duration and the waking-time composition.
Results
Seventy-one percent of children and 75.3% of adolescents were classified as short sleepers. In children, being a short sleeper was associated with higher SB by 95 min/day (
p
< 0.001) and lower MVPA by 16 min/day (
p
= 0.002). Specifically, it was associated with a higher amount of time spent in long sedentary bouts (β
ilr1
= 0.46, 95% confidence interval [CI] = 0.29 to 0.62) and lower amounts of time spent in sporadic SB (β
ilr1
= − 0.17, 95% CI = –0.24 to − 0.10), sporadic LPA (β
ilr1
= − 0.09, 95% CI = –0.14 to − 0.04) and sporadic MVPA (β
ilr1
= − 0.17, 95% CI = –0.25 to − 0.10,
p
< 0.001 for all), relative to the remaining behaviours. In adolescents, being a short sleeper was associated with a higher amount of time spent in SB by 67 min/day (
p
= 0.001) and lower LPA by 2 min/day (
p
= 0.035). Specifically, it was associated with more time spent in sedentary bouts of 1–9 min (β
ilr1
= 0.08, 95% CI = 0.02 to 0.14,
p
= 0.007) and 10–29 min (β
ilr1
= 0.10, 95% CI = 0.02 to 0.18,
p
= 0.015), relative to the remaining behaviours.
Conclusions
Among children and adolescents, short sleep duration seems to be highly prevalent and associated with less healthy waking time. Public health interventions and strategies to tackle the high prevalence of short sleep duration among children and adolescents are warranted.
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