Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias

Teresa Arora, Emma Broglia, G. Neil Thomas, Shahrad Taheri

Research output: Contribution to journalArticle

88 Citations (Scopus)

Abstract

Objective: We tested the hypothesis that weekday bedtime use of six technologies would be significantly associated with eight sleep parameters studied relating to sleep quantity, sleep quality, and parasomnias. Methods: In our cross-sectional study, we previously administered validated age-appropriate questionnaires (School Sleep Habits Survey, Technology Use Questionnaire). Participating adolescents (n= 738; 54.5% boys) were aged 11-13. years and were from the Midlands region of the United Kingdom in 2010. Results: Frequent use of all technology types was significantly inversely associated with weekday sleep duration (hours). Frequent music listeners and video gamers had significantly prolonged sleep onset (β= 7.03 [standard error {SE}, 2.66]; P< .01 and β= 6.17 [SE, 2.42]; P< .05, respectively). Frequent early awakening was significantly associated with frequent use of all technology types. The greatest effect was observed in frequent television viewers (odds ratio [OR], 4.05 [95% confidence interval {CI}, 2.06-7.98]). Difficulty falling asleep was significantly associated with frequent mobile telephone use, video gaming, and social networking, with music listeners demonstrating the greatest effect (OR, 2.85 [95%CI, 1.58-5.13]). Music listeners were at increased risk for frequent nightmares (OR, 2.02 [95%CI, 1.22-3.45]). Frequent use of all technologies except for music and mobile telephones was significantly associated with greater cognitive difficulty in shutting off. Frequent television viewers were almost four times more likely to report higher sleepwalking frequency (OR, 3.70 [95% CI, 1.89-7.27]). Conclusions: Frequent weekday technology use at bedtime was associated with significant adverse effects on multiple sleep parameters. If confirmed in other samples and longitudinally, improving sleep hygiene through better management of technology could enhance the health and well-being of adolescent populations.

Original languageEnglish
Pages (from-to)240-247
Number of pages8
JournalSleep Medicine
Volume15
Issue number2
DOIs
Publication statusPublished - Feb 2014

Fingerprint

Parasomnias
Sleep
Technology
Music
Odds Ratio
Confidence Intervals
Cell Phones
Television
Somnambulism
Social Networking
Sleep Initiation and Maintenance Disorders
Child Welfare
Habits
Cross-Sectional Studies
Health

Keywords

  • Adolescence
  • Insomnia
  • Parasomnias
  • Sleep duration
  • Sleep quality
  • Technology

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias. / Arora, Teresa; Broglia, Emma; Thomas, G. Neil; Taheri, Shahrad.

In: Sleep Medicine, Vol. 15, No. 2, 02.2014, p. 240-247.

Research output: Contribution to journalArticle

Arora, Teresa ; Broglia, Emma ; Thomas, G. Neil ; Taheri, Shahrad. / Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias. In: Sleep Medicine. 2014 ; Vol. 15, No. 2. pp. 240-247.
@article{577aae80642747749338b20e3a9ec086,
title = "Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias",
abstract = "Objective: We tested the hypothesis that weekday bedtime use of six technologies would be significantly associated with eight sleep parameters studied relating to sleep quantity, sleep quality, and parasomnias. Methods: In our cross-sectional study, we previously administered validated age-appropriate questionnaires (School Sleep Habits Survey, Technology Use Questionnaire). Participating adolescents (n= 738; 54.5{\%} boys) were aged 11-13. years and were from the Midlands region of the United Kingdom in 2010. Results: Frequent use of all technology types was significantly inversely associated with weekday sleep duration (hours). Frequent music listeners and video gamers had significantly prolonged sleep onset (β= 7.03 [standard error {SE}, 2.66]; P< .01 and β= 6.17 [SE, 2.42]; P< .05, respectively). Frequent early awakening was significantly associated with frequent use of all technology types. The greatest effect was observed in frequent television viewers (odds ratio [OR], 4.05 [95{\%} confidence interval {CI}, 2.06-7.98]). Difficulty falling asleep was significantly associated with frequent mobile telephone use, video gaming, and social networking, with music listeners demonstrating the greatest effect (OR, 2.85 [95{\%}CI, 1.58-5.13]). Music listeners were at increased risk for frequent nightmares (OR, 2.02 [95{\%}CI, 1.22-3.45]). Frequent use of all technologies except for music and mobile telephones was significantly associated with greater cognitive difficulty in shutting off. Frequent television viewers were almost four times more likely to report higher sleepwalking frequency (OR, 3.70 [95{\%} CI, 1.89-7.27]). Conclusions: Frequent weekday technology use at bedtime was associated with significant adverse effects on multiple sleep parameters. If confirmed in other samples and longitudinally, improving sleep hygiene through better management of technology could enhance the health and well-being of adolescent populations.",
keywords = "Adolescence, Insomnia, Parasomnias, Sleep duration, Sleep quality, Technology",
author = "Teresa Arora and Emma Broglia and Thomas, {G. Neil} and Shahrad Taheri",
year = "2014",
month = "2",
doi = "10.1016/j.sleep.2013.08.799",
language = "English",
volume = "15",
pages = "240--247",
journal = "Sleep Medicine",
issn = "1389-9457",
publisher = "Elsevier",
number = "2",

}

TY - JOUR

T1 - Associations between specific technologies and adolescent sleep quantity, sleep quality, and parasomnias

AU - Arora, Teresa

AU - Broglia, Emma

AU - Thomas, G. Neil

AU - Taheri, Shahrad

PY - 2014/2

Y1 - 2014/2

N2 - Objective: We tested the hypothesis that weekday bedtime use of six technologies would be significantly associated with eight sleep parameters studied relating to sleep quantity, sleep quality, and parasomnias. Methods: In our cross-sectional study, we previously administered validated age-appropriate questionnaires (School Sleep Habits Survey, Technology Use Questionnaire). Participating adolescents (n= 738; 54.5% boys) were aged 11-13. years and were from the Midlands region of the United Kingdom in 2010. Results: Frequent use of all technology types was significantly inversely associated with weekday sleep duration (hours). Frequent music listeners and video gamers had significantly prolonged sleep onset (β= 7.03 [standard error {SE}, 2.66]; P< .01 and β= 6.17 [SE, 2.42]; P< .05, respectively). Frequent early awakening was significantly associated with frequent use of all technology types. The greatest effect was observed in frequent television viewers (odds ratio [OR], 4.05 [95% confidence interval {CI}, 2.06-7.98]). Difficulty falling asleep was significantly associated with frequent mobile telephone use, video gaming, and social networking, with music listeners demonstrating the greatest effect (OR, 2.85 [95%CI, 1.58-5.13]). Music listeners were at increased risk for frequent nightmares (OR, 2.02 [95%CI, 1.22-3.45]). Frequent use of all technologies except for music and mobile telephones was significantly associated with greater cognitive difficulty in shutting off. Frequent television viewers were almost four times more likely to report higher sleepwalking frequency (OR, 3.70 [95% CI, 1.89-7.27]). Conclusions: Frequent weekday technology use at bedtime was associated with significant adverse effects on multiple sleep parameters. If confirmed in other samples and longitudinally, improving sleep hygiene through better management of technology could enhance the health and well-being of adolescent populations.

AB - Objective: We tested the hypothesis that weekday bedtime use of six technologies would be significantly associated with eight sleep parameters studied relating to sleep quantity, sleep quality, and parasomnias. Methods: In our cross-sectional study, we previously administered validated age-appropriate questionnaires (School Sleep Habits Survey, Technology Use Questionnaire). Participating adolescents (n= 738; 54.5% boys) were aged 11-13. years and were from the Midlands region of the United Kingdom in 2010. Results: Frequent use of all technology types was significantly inversely associated with weekday sleep duration (hours). Frequent music listeners and video gamers had significantly prolonged sleep onset (β= 7.03 [standard error {SE}, 2.66]; P< .01 and β= 6.17 [SE, 2.42]; P< .05, respectively). Frequent early awakening was significantly associated with frequent use of all technology types. The greatest effect was observed in frequent television viewers (odds ratio [OR], 4.05 [95% confidence interval {CI}, 2.06-7.98]). Difficulty falling asleep was significantly associated with frequent mobile telephone use, video gaming, and social networking, with music listeners demonstrating the greatest effect (OR, 2.85 [95%CI, 1.58-5.13]). Music listeners were at increased risk for frequent nightmares (OR, 2.02 [95%CI, 1.22-3.45]). Frequent use of all technologies except for music and mobile telephones was significantly associated with greater cognitive difficulty in shutting off. Frequent television viewers were almost four times more likely to report higher sleepwalking frequency (OR, 3.70 [95% CI, 1.89-7.27]). Conclusions: Frequent weekday technology use at bedtime was associated with significant adverse effects on multiple sleep parameters. If confirmed in other samples and longitudinally, improving sleep hygiene through better management of technology could enhance the health and well-being of adolescent populations.

KW - Adolescence

KW - Insomnia

KW - Parasomnias

KW - Sleep duration

KW - Sleep quality

KW - Technology

UR - http://www.scopus.com/inward/record.url?scp=84895136031&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84895136031&partnerID=8YFLogxK

U2 - 10.1016/j.sleep.2013.08.799

DO - 10.1016/j.sleep.2013.08.799

M3 - Article

C2 - 24394730

AN - SCOPUS:84895136031

VL - 15

SP - 240

EP - 247

JO - Sleep Medicine

JF - Sleep Medicine

SN - 1389-9457

IS - 2

ER -