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Table 1 Summary of studies included in the meta-analysis (n = 19)

From: Sleep problems in excessive technology use among adolescent: a systemic review and meta-analysis

Reference (author, year)

country

Study design & methods

Participants (% male participants)

Case definition of technology exposure and sleep outcomes

Exposure type of technology

Age range (or Average age)

Sleep Outcomevariable

An, 2014 (An et al., 2014)

China

cross-sectional school-based study

n = 13,723 (48%boys)

YIAT, PSQI, MSQA

Internet use

10.0–20.0 (15.26 ± 1.67)

Sleep quality

Arora, 2012 (Arora et al., 2012)

UK

cross-sectional school-based study

n = 624 (35.1%boys)

SSHS, TUQ

TV viewing; Video gaming; PC/laptop; Mobiles

11.0–18.0

Sleep quality

Arora, 2013 (Arora et al., 2013)

UK

cross-sectional school-based study

n = 632 (36.1%boys)

SSHS, TUQ

Computer use; Mobile telephone use; TV viewing; Video gaming

11.0–18.0 (13.9 ± 2.0)

Sleep duration

Arora, 2014 (Arora et al., 2014)

UK

cross-sectional study

n = 738 (54.5%boys)

SSHS, TUQ

Television; Video gaming; Mobile telephone; Music; Computer or laptop (study); Internet (social)

11.0–13.0

Sleep duration, sleep-onset latency, sleep problems including early awakening, difficulty falling to sleep, night awakenings

Bruni,2015 (Bruni et al., 2015)

Italy

cross-sectional study

n = 850 (42.8%boys)

SSHS, MPIQ, SPQ, Questionnaire on the use of technology

mobile phone-related activities; Internet-related activities

11.0–16.0 (13.53 ± 1.72)

Sleep quality

Canan, 2013 (Fatih et al., 2013)

Turkey

cross-sectional school-based study

n = 1956 (47.5%boys)

YIAT, Questionnaire of sleep quality

Chat rooms and Internet; messaging; Web surfing; playing online games; academic activities; Other Internet activities such as e-mail checking; reading online news; watching online videos; shopping.

14.0–18.0 (16.04 ± 1.02)

Sleep duration, sleep problems including early awakening, difficulty falling to sleep, night awakenings

Cheung, 2010 (Cheung & Wong, 2011)

Hong Kong

school-based cross-sectional study

n = 719 (60.4%boys)

PSQI, CIAS, GHQ-12

Internet use

10.0–20.0 (14.70 ± 2.02)

Sleep onset latency, Sleep duration, sleep quality

Choi, 2009 (Choi et al., 2009)

Korea

cross-sectional study

n = 2336 (57.5%boys)

YIAT, ESS

Internet use

16.7 ± 1.0

Sleep duration, sleep problems including early awakening, difficulty falling to sleep, night awakenings

Hysing, 2015 (Hysing et al., 2015)

Norway

A large cross-sectional population-based survey study

n = 9846 (46.5%boys)

HBSC

PC, cell phone, MP3 player, tablet, game console and TV.

16.0–19.0

Sleep problems

Jan, 2014 (Van den Bulck, 2004)

Belgium

cross-sectional study

n = 2546

Questionnaires of media use, sleep variables, activity level.

television-viewing; Computer-game playing; Internet use

14.76 ± 1.71

Sleep time

Lemola, 2014 (Lemola et al., 2014)

Switzerland

cross-sectional study

n = 362 (55.2%boys)

ISI, Media Use assess items.

TV or movies, play video games, talk on the phone or text, and spend time online on FaceBook or in chat rooms or surf the Internet

12.0–17.0 (14.82 ± 1.26)

Sleep duration, sleep difficulties

Liu, 2017 (Liu et al., 2017)

China

cross-sectional study

n = 1196 (53%boys)

MPAI, PSQI

mobile phone

14.0–20.0 (16.75 ± 0.94)

Sleep quality

Mak, 2014 (Mak et al., 2014)

Hong Kong

cross-sectional survey

n = 762 (57.6%boys)

PSQI, SQI, ESS, Questionnaires of technology use

Screen viewing

12.0–20.0 (15.27 ± 1.70)

Sleep quality, daytime sleepiness

Nuutinen, 2014 (Nuutinen et al., 2014)

Finland, France and Denmark.

a cross-sectional study

n = 5402 (47%boys)

HBSC

computer use

15.61 ± 0.37

Sleep habits

Park, 2014 (Park, 2014)

Korean

a cross-sectional study

n = 73,238 (52.4%boys)

YIAT, Questionnaires of sleep satisfaction

PIU

12.0–18.0 (15.06 ± 1.75)

Sleep satisfaction

Park, 2017 (Park & Lee, 2017)

Korean

a cross-sectional study

n = 70,696 (52.4%boys)

YIAT, Questionnaires of sleep satisfaction

PIU

12.0–18.0 (15.10 ± 1.75)

Sleep satisfaction

Punamaki, 2006 (Punama-ki et al., 2006)

Finland

a cross-sectional study

n = 7292 (44.8%boys)

Questionnaires of ICT use and sleep habits

computer use;

Mobile phone use

12.0–18.0

Sleeping habits

Shochat, 2010 (Shochat et al., 2010)

Israeli

a cross-sectional study

n = 449 (50.1%boys)

SSHS, EMFQ

electronic media

14.0 ± 0.8

Sleep duration, sleep onset latency, sleep habits

Tan, 2016 (Tan et al., 2016)

China

a cross-sectional study

n = 1661 (51.8%boys)

YIAT, PSQI

Internet use

12.0–18.0

Sleep disturbance

Sami, 2018 (Sami et al., 2018)

Israel

a cross-sectional study

n = 631 (45.5%boys)

YIAT, CASC

Internet use

12.0–18.0 (14.59 ± 1.53)

Sleep disturbance

Tamura, 2017 (Tamura et al., 2017)

Japan

a cross-sectional study

n = 295 (58.6%boys)

Questionnaires of mobile phone use, AIS

Mobile phone use

15.0–19.0 (16.2 ± 0.9)

Insomnia

Hawi, 2018 (Hawi et al., 2018)

Lebanon

a cross-sectional study

n = 524 (47.9%boys)

Questionnaires of sleep habit, IGD-20 Test

Internet game

15.0–19.0 (16.2 ± 1.0)

Sleep duration, sleep disturbance

Kim, 2018 (Kim et al., 2018)

Korea

a cross-sectional study

n = 57,426 (50.3%boys)

KYRBWS

Internet use

12.0–15.0 (13.5)

Sleep Satisfaction

  1. YIAT Young Internet Addiction Test, PSQI Pittsburgh Sleep Quality Index, MSQA Multidimensional Sub-health Questionnaire of Adolescents, SSHS School Sleep Habits Survey, TUQ Technology Use Questionnaire, MPIQ Mobile Phone Involvement Questionnaire, SPQ Shorter Promis Questionnaire, CIAS Chinese Internet Addiction Scale, GHQ-12 The 12-item version of General Health Questionnaire, ESS Epworth Sleepiness Scale, HBSC Health Behavior in School-aged Children, ISI Insomnia Severity Index, MPAI Mobile Phone Addiction Index, SQI Sleep Quality Index, ICT Information and Communication Technology, EMFQ Electronic Media and Fatigue questionnaire, CASC Child and Adolescent Sleep Checklist, AIS Athens Insomnia Scale, IGD Internet Gaming Disorder, KYRBWS Korea Youth Risk Behavior Web-based Survey