Relationship between social media addiction and sleep quality_
| Sleep quality | Social media addiction | Amount | P-value r | ||||
|---|---|---|---|---|---|---|---|
| Addicted | Not addicted | ||||||
| n | % | N | % | n | % | ||
| Poor | 91 | 79.8 | 15 | 41.7 | 106 | 70.7 | 0.000 |
| Good | 23 | 20.2 | 21 | 58.3 | 44 | 29.3 | r = 0.358 |
| Total | 114 | 100 | 36 | 100 | 150 | 100 | |
Characteristics of respondents (n = 150)_
| Items | F | % |
|---|---|---|
| Age (mean, SD) | 20.97 | 2.54 |
| Gender | ||
| Male | 27 | 18 |
| Female | 123 | 82 |
| Year of enrollment | ||
| 2017 | 52 | 35 |
| 2018 | 49 | 33 |
| 2019 | 49 | 33 |
| Most frequently accessed social media platform | ||
| 15 | 10 | |
| 30 | 20 | |
| 35 | 23 | |
| YouTube | 26 | 17 |
| 44 | 29 | |
| Using social media for a long time | ||
| ≤3 years | 32 | 21.3 |
| >3 years | 118 | 78.7 |
| The amount of time spent on social media | ||
| ≤3 h of social media use | 46 | 30.7 |
| >3 h of social media use | 104 | 69.3 |
| Categorization in the SMAS | ||
| Addicted | 114 | 76 |
| Not addicted | 36 | 24 |
| Quality of sleep | ||
| Good | 44 | 29.3 |
| Poor | 106 | 70.3 |
| Sleep efficiency (%) | ||
| >85 | 28 | 18.7 |
| 75–84 | 49 | 32.7 |
| 65–74 | 51 | 34 |
| <65 | 22 | 14.7 |
| Total sleep time (h) | ||
| >7 | 11 | 7.3 |
| 6–7 | 39 | 26 |
| 5–5.9 | 61 | 40.7 |
| <5 | 39 | 26 |
| Sleep latency (min) | ||
| 14–30 | 39 | 26 |
| 31–60 | 61 | 40.7 |
| >60 | 39 | 26 |
Logistic regression analysis of factors related to sleep quality of nursing student_
| Variable | OR | (95% CI) | B | P-value | Nagelkerke R2 |
|---|---|---|---|---|---|
| Social media addiction | 4.80 | (2.08–11.02) | 4.70 | 0.006 | 0.31 |
| Gender | 3.79 | (1.58–9.12) | 3.62 | 0.001 | |
| Using social media for a long time | 4.21 | (1.97–10.48) | 4.21 | 0.002 | |
| The amount of time spent on social media | 1.12 | (0.489–2.83) | 1.17 | 0.718 |