Table 1.
The basic characteristics of the included studies.
| References | Region |
Sample size (Male/Female) |
Age range/Population |
Study design | Assessment scales | r | P | Study quality scores | |
|---|---|---|---|---|---|---|---|---|---|
| Internet addiction | Interpersonal relationship | ||||||||
| Liu (33) | Wuhan | 341 (169/172) | College students | Cross-sectional | CIAS-R | ICDS | 0.397 | <0.01 | 5 |
| Wang et al. (34) | Anhui | 1,232 (806/426) | College students | Cross-sectional | CIAS-R | ICDS | 0.381 | <0.01 | 5 |
| Zhang (a) et al. (35) | Anhui | 177 (88/89) | College students | Cross-sectional | YIAT | ICDS | 0.238 | <0.01 | 6 |
| Zhang (b) et al. (24) | Jiangsu | 389 (226/163) | 18–24 | Cross-sectional | CIAS | ICDS | 0.356 | <0.001 | 6 |
| Chen et al. (36) | Shandong | 368 (191/177) | College students | Cross-sectional | YIAT | ICDS | 0.32 | <0.01 | 6 |
| Zheng et al. (49) | Guangdong | 657 (289/368) | 17–23/college students | Case-control | CIAS-R | ICDS | 0.42 | <0.01 | 6 |
| Zhang et al. (37) | Beijing | 176 (92/84) | 20–29/college students | Cross-sectional | CIAS-R | ICDS | 0.375 | <0.01 | 5 |
| Yuan (50) | Hunan | 832 (372/460) | 14–19/middle school students | Case-control | IAII | ICDS | 0.336 | <0.01 | 7 |
| Wu et al. (38) | Dalian | 201 (94/107) | College students | Cross-sectional | CIAS | ICDS | 0.227 | <0.05 | 5 |
| Liu et al. (39) | Hebei | 490 | College students | Cross-sectional | CIAS-R | ICDS | 0.470 | <0.01 | 6 |
| Yang (51) | Shandong | 723 (285/438) | College students | Case-control | MPATS | ICDS | 0.29 | <0.01 | 7 |
| Liao et al. (52) | Jiangxi | 472 (218/254) | 18–25/college students | Case-control | MPATS | ICDS | 0.349 | <0.01 | 7 |
| Wang et al. (21) | Guangxi | 348 | College students | Cross-sectional | MPATS | ICDS | 0.382 | <0.01 | 5 |
| Ye (40) | Anhui | 871 (538/333) | College students | Cross-sectional | MPDS | ICDS | 0.333 | <0.001 | 7 |
| Tan (53) | Hunan | 524 (193/331) | College students | Case-control | APIUS | ICDS | 0.403 | <0.01 | 7 |
| Liu et al. (54) | Sichuan | 200 (73/127) | College students | Case-control | MPATS | ICDS | 0.345 | <0.001 | 7 |
| Lai (41) | Jiangxi | 560 (265/295) | 17–24/college students | Cross-sectional | MPATS | ICDS | 0.349 | <0.01 | 6 |
| Tang et al. (42) | Guangxi | 780 (376/404) | College students | Cross-sectional | MPATS | ICDS | 0.32 | <0.01 | 7 |
| Aruna (44) | Heilongjiang | 513 (339/174) | College students | Cross-sectional | MPAI | ICDS | 0.414 | <0.001 | 7 |
| Ma et al. (46) | Henan | 798 (204/594) | College students | Cross-sectional | MPATS | ICDS | 0.329 | <0.001 | 7 |
| Su et al. (48) | Shanxi | 943 | 18–22/college students | Cross-sectional | MPATS | ICDS | 0.394 | <0.01 | 8 |
| Kong et al. (47) | Guizhou | 479 (168/311) | College students | Cross-sectional | YIAT | ICDS | 0.31 | <0.01 | 6 |
| He (45) | Zhejiang | 1,075 (480/595) | Middle school students | Cross-sectional | MPATS | ICDS | 0.37 | <0.01 | 6 |
| Seo et al. (8) | Seoul, Korea | 676 (378/297) | 12–17/middle school students | Cross-sectional | IAT (Korean version) | The Inventory of Interpersonal Problems (Korean version) | 0.425 | <0.001 | 6 |
| Cen et al. (55) | Guizhou | 403 (198/205) | 21.05 ±1.04/college students | Case-control | YIAT | ICDS | 0.776 | <0.01 | 7 |
| Wang (43) | Guangdong | 410 (156/254) | 13.46 ± 1.22/middle school students | Cross-sectional | MPAI | ICDS | −0.323 | <0.01 | 7 |
CIAS-R, revised chen internet addiction scale; YIAT, the young internet addiction test; CIAS, chen internet addiction scale; IAII, internet addiction impairment indexes; MPATS, mobile phone addiction tendency scale; APIUS, adolescent pathological internet use scale; MPAI, mobile phone addiction index; MPDS, mobile phone dependence scale; APIUS, adolescent pathological internet use scale; ICDS, interpersonal comprehensive diagnostic scale.