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Table 1 Characteristics of the 33 studies included in the analysis

From: The correlation between mobile phone addiction and coping style among Chinese adolescents: a meta-analysis

Name (year)

Region

Sample size

Female%

Subject type

Publication type

R (PCS and NCS)

Measurement tool

Mobile phone addiction

Coping style

Quan (2014) [18]

Western

546

0.55

2

Dissertation

0.12 and − 0.25

MPATS

CSQ

Xu (2014) [38]

Eastern

293

0.54

1

Journal

0.01 and 0.21

MPDI

CCSS-MSS

Wu (2015) [39]

Central

687

0.61

3

Dissertation

 − 0.01 and 0.29

Self-compiled

SCSQ

Zeng (2015) [40]

Central

282

0.60

3

Dissertation

0.04 and 0.34

MPATS

CSQ

Chen (2015) [19]

Central

421

0.53

3

Journal

0.19 and − 0.17

MPAI

CSQ

Zhang (2015) [41]

Central

307

0.69

3

Journal

0.11 and 0.33

MPATS

SCSQ

Li (2016) [20]

N

696

0.71

3

Journal

 − 0.03 and 0.31

MPAI

SCSQ

Zhang (2016) [42]

N

276

0.70

3

Journal

 − 0.14 and 0.39

MPATS

SCSQ

Zu (2016) [16]

Central

548

0.60

3

Journal

 − 0.01 and 0.32

MPATS

CSQ

Yan (2016) [43]

Eastern

404

0.41

2

Journal

N and 0.20

MPAI

CSQ

Wu (2016) [44]

Central

624

0.55

2

Dissertation

0.15 and 0.27

MPAI

HCSS-MSS

Chen (2017) [45]

Central

432

0.52

3

Dissertation

0.09 and 0.36

MPAI

SCSQ

Gao (2017) [46]

Western

488

0.21

2

Dissertation

0.11 and 0.36

MPAI

SCSQ

Wang (2017) [47]

Central

490

0.72

3

Dissertation

N and 0.35

SAS-C

SCSQ

Xia (2017) [48]

Central

330

0.64

3

Journal

 − 0.17 and 0.34

MPATS

CSQ

Xin (2017) [49]

Central

630

0.44

1

Journal

 − 0.13 and 0.27

MPDS-MSS

CCSS-MSS

Zeng (2018) [50]

Central

395

0.59

3

Dissertation

 − 0.06 and 0.31

MPATS

SCSQ

He (2018) [17]

Central

490

0.72

3

Journal

N and 0.35

SAS-C

SCSQ

Liu (2018) [51]

Eastern

728

0.79

3

Journal

 − 0.01 and 0.19

MPAI

WSCSQ

Xiong (2018) [52]

Central

359

0.60

3

Journal

N and 0.30

MPATS

SCSQ

Sun (2018) [53]

M

1041

0.44

1

Journal

 − 0.13 and 0.35

SAS-C

CCSS-MSS

Xu (2018) [54]

Western

316

0.53

1

Journal

0.07 and N

MPAS

SCOPE

Zeng (2019) [55]

Eastern

2178

0.49

2

Journal

 − 0.01 and 0.26

MPATS

SCSQ

Xu (2019) [56]

N

558

0.60

3

Journal

 − 0.02 and 0.36

MPAI

SCSQ

Zhang (2019) [57]

Central

1774

0.86

3

Journal

 − 0.01 and 0.20

MPAI

SCSQ

Hong (2019) [58]

Eastern

522

0.59

3

Journal

 − 0.08 and 0.31

MPAI

CSQ

Han (2020) [59]

N

366

0.57

3

Dissertation

0.08 and 0.73

MPAI

SCSQ

He (2020) [60]

M

911

0.55

2

Journal

 − 0.15 and 0.51

MPATS

SCSQ

Yuan (2020) [61]

Central

870

0.77

3

Dissertation

N and 0.38

TMD-C

SCSQ

Zheng (2020) [62]

N

418

0.64

3

Journal

 − 0.24 and 0.23

SAS-CA

SCSQ

Liu (2020) [63]

Eastern

1169

0.44

3

Journal

0.03 and 0.43

MPAI

SCSQ

He (2020) [15]

M

604

0.56

1 and 3

Journal

N and 0.28

MPAI

SCSQ

Qiu (2021) [64]

Central

190

0.68

3

Journal

0.07 and 0.27

MPAI

SCSQ

  1. N Not reported, M Mixed region, 1 Middle school students, 2 Vocational college students,3  Undergraduate, PCS Positive coping, NCS Negative coping style, MPATS Mobile Phone Addiction Tendency Scale, MPDI Mobile Phone Dependence Inventory, MPAI Mobile Phone Addiction Index, SAS-C Smartphone Addiction Scale for College Students, MPDS-MSS Mobile Phone Dependence Scale for Middle School Students, MPAS Smartphone addiction scale, TMD-C the Test of Mobile Phone Dependence for Chinese Adolescents, SAS-CA Smartphone Addiction Scale for Chinese Adults, CSQ Coping Style Questionnaire, SCSQ the Simplified Coping Style Questionnaire, CCSS-MSS Chen’s Coping Style Scale for Middle School Students, HCSS-MSS Huang’s Coping Style Scale for Middle School Students, WSCSQ Wang’s Simplified Coping Style Questionnaire, SCOPE the Student Coping Instrument