| Literature DB >> 34094814 |
Lokanath Mishra1, Narikimeli Pramoda Kumar2.
Abstract
BACKGROUND: The flare-up of Covid-19 in India caused open turmoil and pressure on emotional wellbeing among university students. At first, it was about course finishing; later, the issues moved to assessment. This scourge increases mental issues, stress, dissatisfaction, sorrow, and nervousness. AIM: The aim of this study was to assess the mental health and behaviour of Mizoram University students during the Covid-19 lockdown period.Entities:
Keywords: Academics; Covid-19 pandemic; Lifestyle; Mental health; Stress
Year: 2021 PMID: 34094814 PMCID: PMC8164080 DOI: 10.1007/s10389-021-01591-1
Source DB: PubMed Journal: Z Gesundh Wiss ISSN: 0943-1853
Demographic characteristics of the participants
| Variable | Types | Sample ( | Percentage (%) |
|---|---|---|---|
| Gender | Male | 381 | 42.61 |
| Female | 513 | 57.39 | |
| Stream of education | Arts | 224 | 25.06 |
| Commerce | 107 | 11.97 | |
| Science | 284 | 31.76 | |
| Others | 279 | 31.21 | |
| Course | General | 615 | 69.00 |
| Professional | 279 | 31.00 | |
| Locale | Rural | 518 | 58.00 |
| Urban | 376 | 42.00 |
Fig. 1Demographic characteristics of the participants
Mental health status of students with respect to various stress factors
| Variables | Categories ( | Stress for final university exam | Career stress | Disturbed due to Covid-19 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No | Yes | No | Yes | No | |||||
| Gender | Male (381) | 342 (89.76%) | 39 (10.24%) | 0.109 | 243 (63.78%) | 138 (36.22%) | 0.554 | 366 (96.06%) | 15 (3.94%) | 0.055 |
| Female (513) | 476 (92.79%) | 37 (7.21%) | 337 (65.69%) | 176 (34.31%) | 492 (95.91%) | 21 (4.09%) | ||||
| Stream of education | Arts (224) | 202 (90.18) | 22 (9.82%) | 0.006 | 81 (36.16%) | 143 (63.84%) | 2.159 | 216 (96.43%) | 08 (3.57%) | 0.237 |
| Commerce (107) | 87 (81.31%) | 20 (18.69%) | 41 (38.32%) | 66 (61.68%) | 102 (95.33%) | 05 (4.67%) | ||||
| Science (284) | 262 (92.25%) | 22 (7.75%) | 202 (71.13%) | 82 (28.87%) | 261 (91.90%) | 23 (8.1%) | ||||
| Course | General (615) | 571 (92.85%) | 44 (7.15%) | 0.751 | 332 (53.98%) | 283 (46.02%) | 7.793 | 589 (95.77%) | 26 (4.23%) | 0.005 |
| Professional (279) | 247 (88.53%) | 32 (11.47%) | 248 (88.89%) | 31 (11.11%) | 269 (96.42%) | 10 (3.58%) | ||||
| Locale | Rural (518) | 475 (91.70%) | 43 (8.3%) | 0.312 | 333 (64.29%) | 185 (35.71%) | 1.380 | 492 (94.98%) | 26 (5.02%) | 0.000 |
| Urban (376) | 343 (91.22%) | 33 (8.78%) | 247 (65.69%) | 129 (34.31%) | 366 (97.34%) | 10 (2.66%) | ||||
1 Chi-square test p < 0.05
Fig. 2Stress with regard to final university exam
Mental health of students with respect to various stress factors
| Variables | Categories ( | Worried about life due to Covid-19 | Feeling helpless due to Covid-19 | Internet issues | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No | Yes | No | Yes | No | |||||
| Gender | Male (381) | 276 (72.44%) | 85 (27.56%) | 0.005 | 300 (78.74%) | 81 (21.26%) | 2.099 | 333 | 48 | 1.221 |
| Female (513) | 448 (87.33%) | 85 (12.67%) | 321 (62.57%) | 192 (37.43%) | 211 (41.13%) | 302 (5887%) | ||||
| Stream of education | Arts (224) | 200 (89.29%) | 24 (10.71%) | 8.035 | 198 (88.39%) | 26 (11.61%) | 1.051 | 199 (88.84%) | 25 (11.16%) | 0.001 |
| Commerce (107) | 82 (76.64%) | 25 (23.36%) | 87 (81.31%) | 20 (18.69%) | 78 (72.90%) | 29 (27.1%) | ||||
| Science (284) | 204 (71.83%) | 80 (28.17%) | 192 (67.61%) | 92 (32.39%) | 230 (80.99%) | 54 (19.01%) | ||||
| Course | General (615) | 487 (79.19%) | 128 (20.81%) | 0.006 | 477 (77.56%) | 138 (22.44%) | 1.918 | 497 (80.81%) | 118 (19.19%) | 1.141 |
| Professional (279) | 237 (84.94%) | 42 (15.06%) | 144 (51.61%) | 135 (48.39%) | 47 (16.85%) | 232 (83.15%) | ||||
| Locale | Rural (518) | 426 (82.24%) | 92 (17.76%) | 0.058 | 412 (79.54%) | 106 (20.46%) | 1.641 | 480 (92.66%) | 38 (7.34%) | 8.662 |
| Urban (376) | 298 (79.26%) | 78 (20.74%) | 209 (55.59%) | 167 (44.41%) | 64 (17.02%) | 312 (82.98%) | ||||
1 Chi-square test p < 0.05
Fig. 3Worried about life
Behaviors of students with respect to use of time
| Variables | Categories ( | Time spent resting | Time spent relaxing | Time spent exercising | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Yes | No | Yes | No | Yes | No | |||||
| Gender | Male (381) | 280 (73.49%) | 101 (26.51%) | 0.11 | 243 (63.78%) | 138 (36.22%) | 0.51 | 362 (95.01%) | 19 (4.99%) | 0.12 |
| Female (513) | 406 (79.14%) | 107 (20.86%) | 337 (65.69%) | 176 (34.31%) | 480 (93.57%) | 33 (6.43%) | ||||
| Stream of Education | Arts (224) | 182 (81.25%) | 42 (18.75%) | 0.01 | 81 (36.16%) | 143 (63.84%) | 1.15 | 216 (96.42%) | 08 (3.50%) | 0.20 |
| Commerce (107) | 67 (62.62%) | 40 (37.38%) | 41 (38.32%) | 66 (61.68%) | 102 (95.33%) | 05 (4.67%) | ||||
| Science (284) | 202 (71.13%) | 82 (28.87%) | 202 (71.13%) | 82 (28.87%) | 265 (93.31%) | 19 (6.69%) | ||||
| Course | General (615) | 501 (81.46%) | 114 (18.54%) | 0.31 | 335 (54.47%) | 280 (45.53%) | 3.19 | 579 (94.15%) | 36 (5.85%) | 0.01 |
| Professional (279) | 245 (87.81%) | 94 (12.19%) | 245 (87.81%) | 34 (12.19%) | 263 (94.27%) | 16 (5.73%) | ||||
| Locale | Rural (518) | 362 (69.88%) | 156 (30.12%) | 0.212 | 342 (66.02%) | 176 (33.98%) | 1.101 | 489 (94.40%) | 29 (5.6%) | 0.10 |
| Urban (376) | 343 (91.22%) | 52 (8.78%) | 238 (63.30%) | 138 (36.7%) | 353 (93.88%) | 23 (6.12%) | ||||
1Chi-square test p < 0.05
Fig. 4Time spent resting
Fig. 5Time spent exercising