睡眠时型与技术成瘾的关系及作用机制研究进展
吴玉婧, 郭茜, 刘晓华, 李冠军

Progress in relationship between chronotype and technology addiction and its mechanism
WU Yujing, GUO Qian, LIU Xiaohua, LI Guanjun
表 1 睡眠时型与技术成瘾关系的文献总结
Tab 1 Literature summary of the relationship between chronotype and technology addiction
Technology addictionLiterature

Basic information of subjects

(age/year; male proportion)

Measure

Comment

(when individuals are more

inclined to evening type)

ChronotypeAddiction
Internet addictionLIN et al., 2013[14]

2 731 college students

(19.40±3.60; 52.4%)

MESYBOCS-IU↑ Compulsive Internet use
RANDLER et al., 2014[17]

616 college students

(20.81±1.97; 27.9%)

CSMIA Scale↑ Internet addiction
KANG et al., 2015[13]

325 adults

(20‒49; 48.9%)

MEQYIAS↑ Incidence of Internet addiction
OH et al., 2016[15]

2 632 college students

(19.16±0.91; 48.9%)

CSMKIAT↑ Internet addiction
XU et al., 2018[19]

3 572 college students

(freshmen and juniors; 34.5%)

MESIAT

↑ Internet addiction

↑ Incidence of Internet addiction

CHUNG et al., 2020[21]

765 adolescents

(15.07±1.36; 60.9%)

MESYIASNo significant difference in Internet addiction between different chronotypes
KOO et al., 2021[18]

8 565 high-school students

(16.77±0.85; 52.1%)

MEQIAPS↑ Internet addiction

PRZEPIORKA

et al., 2021[16]

398 college students

(20.37±2.29; 28.9%)

CSMIAT

↑ Problematic Internet use mental disorder

↑ Problematic Internet use time management disorder

YI et al., 2021[20]

7 457 college students

[≤17 (15.1%), 18 (64.6%) and ≥19 (20.2%); 53.5%]

MEQIAT↑ Internet addiction
Social media addictionLIN et al., 2021[25]

1 791 young adults

(27.2±10.1; 30.1%)

rMEQBSMAS↑ Problematic social media use

BLACHNIO

et al., 2015[22]

633 Facebook users

(20.78±4.80; 35.9%)

CSM

FBI Scale;

FIQ

↑ Intensity and frequency of Facebook usage

↑ Facebook intrusion

HORZUM et al., 2022[24]

981 college students

(20.82±2.39; 26.9%)

CSMFAS↑ Facebook addiction
Internet gaming addictionVOLLMER et al., 2014[31]

741 adolescents

(12.89±1.05; 60.2%)

CSMCGAS

↑ Computer game usage time

↑ Computer game addiction

KÜÇÜKTURAN et al., 2022[30]

922 high-school students

(16.0±1.04; 42.7%)

CSMCASfA↑ Computer game addiction
DAĞ et al., 2022[29]

109 children

(9.20±1.45; 49.5%)

CCTQCASfC

↑ Computer game addiction

↑ "Can not give up playing games" subscale scores

↑ "Neglecting responsibilities because of computer games" subscale scores

Smartphone addictionTODA et al., 2015[27]

182 college students

(male: 21.70±2.60, female: 21.0±2.1; 67.0%)

MEQMPDQ↑ Smartphone dependence
RANDLER et al., 2016[36]

342 younger adolescents

(13.39±1.77; 51.5%);

208 older adolescents

(17.07±4.28; 29.8%)

CSM

SAPS for younger adolescents;

SAS-SV for older adolescents

↑ Smartphone addiction

DEMIRHAN

et al., 2016[33]

902 college students

(20.42±1.90; 27.0%)

CSMMPPUS↑ Problematic mobile phone usage
RANDJELOVIC et al., 2021[35]

77 college students

(20‒22; both genders)

MEQSAS-SV↑ Problematic smartphone use
BAĞCI et al., 2022[32]

346 college students

(19.60±2.56; 32.7%)

CSMSAS-SF↑ Smartphone addiction
KANG et al., 2020[34]

Baseline: 940 college students

(19.10±0.90; 36.8%)

One-year follow-up: 902 college students

(19.10±0.90; 36.5%)

rMEQMPIQ

↑ Mobile phone involvement

↑ Mobile phone addiction behaviors

LI et al., 2022[37]

999 college students

(18.80±1.20; 37.7%)

MEQSQAPMPU↑ Score trajectories of problematic mobile phone use