| Literature DB >> 33735548 |
Jiyeong Seo1, Cheol-Soon Lee1,2, Young-Ji Lee1, Soo-Young Bhang3,4, Dongyun Lee1,2.
Abstract
OBJECTIVE: This study investigated the types of daily life stressors associated with social media use in adolescents with problematic Internet/smartphone use in a city in Korea.Entities:
Keywords: Internet; Problematic use; Smartphone; Social media; Stressor
Year: 2021 PMID: 33735548 PMCID: PMC8016692 DOI: 10.30773/pi.2020.0060
Source DB: PubMed Journal: Psychiatry Investig ISSN: 1738-3684 Impact factor: 2.505
Sociodemographic characteristics between the problematic Internet/smartphone use group and the control group
| Problematic Internet/smartphone use (N=505) | Control (N=2,492) | p | t or χ2 | |
|---|---|---|---|---|
| Age (years)[ | 14.8±2.2 | 13.7±2.2 | <0.001 | 9.867 |
| Sex (male)[ | 199 (39.9) | 995 (40.3) | 0.881 | 0.033 |
| [ | 0.005 | 16.710 | ||
| 0 | 4 (0.8) | 11 (0.4) | ||
| 1 | 26 (5.3) | 86 (3.4) | ||
| 2† | 293 (59.4) | 1680 (67.4) | ||
| 3 | 108 (21.9) | 408 (16.5) | ||
| 4 | 46 (9.3) | 201 (8.1) | ||
| 5 or more | 16 (3.2) | 84 (3.5) | ||
| A significant difference in the number of family members between groups by post hoc analysis (Bonferroni method) was as follow: †vs. 3 | ||||
| [ | 0.001 | 18.291 | ||
| High† | 24 (4.9) | 181 (7.3) | ||
| Upper middle† | 112 (22.7) | 717 (29.1) | ||
| Middle | 285 (57.8) | 1315 (53.3) | ||
| Middle low | 57 (11.6) | 200 (8.1) | ||
| Low | 15 (3.0) | 52 (2.1) | ||
| A significant differences in economic status between groups by post hoc analysis (Bonferroni method) was as follows: †vs. middle low | ||||
| [ | <0.001 | 121.289 | ||
| High†‡§ | 33 (6.7) | 330 (13.3) | ||
| Upper middle†‡§ | 92 (18.6) | 780 (31.5) | ||
| Middle‡§ | 172 (34.8) | 864 (34.9) | ||
| Middle low§ | 129 (26.1) | 391 (15.8) | ||
| Low | 68 (13.8) | 112 (4.5) | ||
| A significant differences in academic achievement between groups by post hoc analysis (Bonferroni method) was as follow; †vs. middle, ‡vs. middle low, §vs. low | ||||
| Internet and smartphone usage patterns (yes)[ | ||||
| Social media use | 346 (68.5) | 1217 (48.8) | <0.001 | 65.164 |
| Academic education | 117 (35) | 983 (39.4) | 0.071 | 3.422 |
| Online gaming | 321 (63.6) | 1539 (61.8) | 0.451 | 0.582 |
| Mobile messenger | 399 (79) | 1816 (72.9) | 0.004 | 8.200 |
| Media content | 419 (83) | 1899 (76.2) | 0.001 | 10.971 |
| Searching | 366 (72.5) | 1755 (70.4) | 0.362 | 0.853 |
| Community | 90 (17.8) | 257 (10.3) | <0.001 | 23.125 |
| Internet shopping | 154 (30.5) | 436 (17.5) | <0.001 | 44.877 |
| Finance | 49 (9.7) | 114 (4.6) | <0.001 | 21.473 |
| Social media use time (minutes)* | 254.6±342.4 | 149.4±249.9 | <0.00 | 6.557 |
mean±standard deviation,
%,
missing data for 35 subjects,
missing data for 40 subjects,
missing data for 27 subjects
Figure 1.The results of the comparison of the stress factors between the two groups by chi-squared test. The number of subjects who were stressed for all 12 items was significantly higher in the problematic Internet/smartphone use group than in the control group. *p<0.001, values of χ2 were as follows from left to right: 120.9, 13.6, 123.0, 93.6, 151.9, 79.3, 66.6, 96.7, 14.9, 35.5, 132.7, 146.
The stress factors associated with social media use in the problematic Internet/smartphone use group (N=505) and the control group (N=2,492) by binary logistic regression analyses
| B | S.E. | p | Exp. (B) | CI | ||
|---|---|---|---|---|---|---|
| Problematic internet/smartphone use[ | ||||||
| Relationship with parents | 0.468 | 0.305 | 0.125 | 1.597 | 0.879 | 2.902 |
| Sibling rivalry | 0.680 | 0.297 | 0.022 | 1.974 | 1.104 | 3.529 |
| Appearance | 0.190 | 0.322 | 0.557 | 1.209 | 0.643 | 2.274 |
| Physical health | 0.989 | 0.358 | 0.006 | 2.688 | 1.333 | 5.420 |
| Psychological health | 0.004 | 0.367 | 0.992 | 1.004 | 0.489 | 2.060 |
| Economic problems | -0.182 | 0.431 | 0.672 | 0.833 | 0.358 | 1.939 |
| Peer relationships | -0.147 | 0.361 | 0.684 | 0.863 | 0.425 | 1.753 |
| Heterosexual relationships | 0.055 | 0.402 | 0.891 | 1.057 | 0.481 | 2.324 |
| Hierarchical relationships | -0.662 | 0.580 | 0.254 | 0.516 | 0.165 | 1.609 |
| Relationship with teachers | -0.640 | 0.437 | 0.144 | 0.527 | 0.224 | 1.243 |
| Career problems | -0.632 | 0.337 | 0.060 | 0.532 | 0.275 | 1.028 |
| Academic problems | -0.267 | 0.346 | 0.441 | 0.766 | 0.388 | 1.509 |
| Control[ | ||||||
| Relationship with parents | -0.111 | 0.133 | 0.406 | 0.895 | 0.690 | 1.162 |
| Sibling rivalry | 0.163 | 0.121 | 0.177 | 1.177 | 0.929 | 1.491 |
| Appearance | -0.338 | 0.126 | 0.007 | 0.713 | 0.558 | 0.912 |
| Physical health | 0.017 | 0.155 | 0.911 | 1.018 | 0.751 | 1.379 |
| Psychological health | 0.193 | 0.172 | 0.263 | 1.213 | 0.865 | 1.700 |
| Economic problems | 0.231 | 0.214 | 0.280 | 1.260 | 0.828 | 1.917 |
| Peer relationships | 0.063 | 0.170 | 0.712 | 1.065 | 0.762 | 1.487 |
| Heterosexual relationships | -0.516 | 0.227 | 0.023 | 0.597 | 0.383 | 0.931 |
| Hierarchical relationships | -0.344 | 0.274 | 0.209 | 0.709 | 0.414 | 1.213 |
| Relationship with teachers | -0.128 | 0.206 | 0.533 | 0.880 | 0.588 | 1.316 |
| Career problems | 0.210 | 0.146 | 0.151 | 1.233 | 0.926 | 1.643 |
| Academic problems | -0.231 | 0.128 | 0.070 | 0.794 | 0.618 | 1.019 |
Each analysis included the following covariates: age, sex, number of family members, economic status, academic achievement.
effect size: Cohen’s f2=0.812,
effect size: Cohen’s f2=0.541.
B: unstandardized regression coefficient, SE: standard error, Exp. (B): exponentiation of the B coefficient, which is an odds ratio, CI: confidence interval