2015
DOI: 10.1002/ijop.12167
|View full text |Cite
|
Sign up to set email alerts
|

Sleep variability and fatigue in adolescents: Associations with school‐related features

Abstract: This study aims to evaluate the influences of sleep duration and sleep variability (SleepV), upon adolescents' school-related situations. The Health Behaviour in School-Aged Children (HBSC) survey is based on a self-completed questionnaire. The participants were 3164 pupils (53.7% girls), attending the 8th and 10th grades, 14.9 years old, and were inquired about subjective sleep duration during the week and weekends, SleepV, fatigue, difficulties in sleep initiation, school achievement, feelings towards school… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

3
25
0
5

Year Published

2016
2016
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 27 publications
(33 citation statements)
references
References 23 publications
3
25
0
5
Order By: Relevance
“…Several studies of children and adolescents have pointed out the relations of sleep duration with: daytime sleepiness [1][2][3], body mass index (BMI) [2,[4][5][6][7], type II diabetes and insulin resistance [8], sleep disorders [1], health characteristics [2], high blood pressure [9], pain [10][11][12], cognitive tests and academic success [3, [13][14][15][16], subjective psychological wellbeing [17,18], socioeconomic status [2,5], habits such as high screen or TV viewing time [5,16,19,20], low or moderate physical activity [5,21], poor dietary intake and quality [20,22], and risk-taking behaviours [19,[23][24][25][26][27][28]. Some studies considered not only the parameter sleep duration, but also sleep deprivation, considering sleep deprivation the difference between week-days sleep duration and week-ends sleep duration [16,18,19].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Several studies of children and adolescents have pointed out the relations of sleep duration with: daytime sleepiness [1][2][3], body mass index (BMI) [2,[4][5][6][7], type II diabetes and insulin resistance [8], sleep disorders [1], health characteristics [2], high blood pressure [9], pain [10][11][12], cognitive tests and academic success [3, [13][14][15][16], subjective psychological wellbeing [17,18], socioeconomic status [2,5], habits such as high screen or TV viewing time [5,16,19,20], low or moderate physical activity [5,21], poor dietary intake and quality [20,22], and risk-taking behaviours [19,[23][24][25][26][27][28]. Some studies considered not only the parameter sleep duration, but also sleep deprivation, considering sleep deprivation the difference between week-days sleep duration and week-ends sleep duration [16,18,19].…”
Section: Introductionmentioning
confidence: 99%
“…Some studies considered not only the parameter sleep duration, but also sleep deprivation, considering sleep deprivation the difference between week-days sleep duration and week-ends sleep duration [16,18,19].…”
Section: Introductionmentioning
confidence: 99%
“…Many countries report a high incidence of sleep disorders in youth 19 and, specifically in children, who, given the characteristics of present-day living, are unlikely to be able to sleep regularly or the appropriate number of hours. Health problems associated to lack of sleep, as well as the possible mechanisms of this association have also been documented.…”
Section: Discussionmentioning
confidence: 99%
“…Insufficient sleep results in rebound effect, refers to a recovery sleep consisting of spending longer time in bed, proportionately more rapid eye movement (REM) and deeper slow-wave sleep (Carskadon & Dement, 2011). However, habitually decreased nocturnal sleep has severe consequences on quality of life (Knutson, Spiegel, Penev, & Van Cauter, 2007;Matos, Gaspar, Tomé, & Paiva, 2016;Paiva, Gaspar, & Matos, 2015;Zeitlhofer et al, 2000). Poor sleepers have more negative thoughts at bedtime relative to good sleepers (Kuisk, Bertelson, & Walsh, 1989;Nicassio, Mendlowitz, Fussell, & Petras, 1985;Van Egeren, Haynes, Franzen, & Hamilton, 1983).…”
Section: Introductionmentioning
confidence: 99%