Table 2.
Variable | All | Well-Being Score | P-value* | Good Well-Being (≥12.5) | Poor Well-Being (<12.5) | P-value* |
---|---|---|---|---|---|---|
Medium of information on COVID-19 | ||||||
Social media | ||||||
No | 275 (27.7) | 13.1 ±5.5 | 0.134 | 157 (57.1) | 118 (42.9) | 0.029 |
Yes | 717 (72.3) | 12.5 ±5.6 | 354 (49.4) | 363 (50.6) | ||
Internet | ||||||
No | 488 (49.2) | 12.6 ±5.6 | 0.909 | 253 (51.8) | 235 (48.2) | 0.837 |
Yes | 504 (50.8) | 12.7 ±5.6 | 258 (51.2) | 246 (48.8) | ||
TV | ||||||
No | 570 (57.5) | 12.5 ±5.6 | 0.593 | 298 (52.3) | 272 (47.7) | 0.573 |
Yes | 422 (42.54) | 12.7 ±5.5 | 213 (50.5) | 209 (49.5) | ||
Newspaper | ||||||
No | 861 (86.8) | 12.7 ±5.6 | 0.553 | 448 (52.0) | 413 (48.0) | 0.400 |
Yes | 131 (13.2) | 12.3 ±5.7 | 63 (48.1) | 68 (51.9) | ||
Radio | ||||||
No | 940 (94.8) | 12.7 ±5.6 | 0.419 | 485 (51.6) | 455 (48.4) | 0.823 |
Yes | 52 (5.2) | 12.0 ±5.1 | 26 (50.0) | 26 (50.0) | ||
Health agencies | ||||||
No | 958 (96.6) | 12.6 ±5.6 | 0.280 | 492 (51.4) | 466 (48.6) | 0.604 |
Yes | 34 (3.4) | 13.6 ±5.5 | 19 (55.9) | 15 (44.1) | ||
Scientific literature | ||||||
No | 975 (98.3) | 12.6 ±5.6 | 0.413 | 504 (51.7) | 471 (48.3) | 0.467 |
Yes | 17 (1.7) | 11.5 ±6.8 | 7 (41.2) | 10 (58.8) | ||
Word of mouth | ||||||
No | 979 (98.7) | 12.6 ±5.6 | 0.373 | 503 (51.4) | 476 (48.6) | 0.581 |
Yes | 13 (1.3) | 14.0 ±5.0 | 8 (61.5) | 5 (38.5) | ||
Hospital/healthcare professional | ||||||
No | 984 (99.2) | 12.6 ±5.6 | 0.851 | 507 (51.5) | 477 (48.5) | 1.000 |
Yes | 8 (0.8) | 13.0 ±6.7 | 4 (50.0) | 4 (50.0) |
Notes: *Unpaired tests were applied to compare well-being scores with social media. Chi-square or Fisher Exact tests were applied to compare binary variable of well-being with social media.