Table 3 Association between physical activity and sociodemographic, occupational, and health-related factors
Variables | Level | low | moderate | high | p-value |
|---|---|---|---|---|---|
N | Â | 200 | 222 | 8 | Â |
Age, mean (SD) | Â | 42.5 (7.3) | 44.1 (7.1) | 40.5 (5.9) | 0.046 |
Gender | Male | 28 (14.0%) | 46 (20.7%) | 3 (37.5%) | 0.069 |
| Â | Female | 172 (86.0%) | 176 (79.3%) | 5 (62.5%) | Â |
Marital status | Single | 46 (23.0%) | 55 (24.8%) | 3 (37.5%) | 0.95 |
| Â | Married | 134 (67.0%) | 145 (65.3%) | 5 (62.5%) | Â |
| Â | Widowed | 2 (1.0%) | 2 (0.9%) | 0 (0.0%) | Â |
| Â | Divorced | 18 (9.0%) | 20 (9.0%) | 0 (0.0%) | Â |
Region | Latin America | 82 (41.0%) | 121 (54.5%) | 4 (50.0%) | 0.23 |
| Â | Middle East | 20 (10.0%) | 15 (6.8%) | 0 (0.0%) | Â |
| Â | Southeast Asia | 36 (18.0%) | 32 (14.4%) | 2 (25.0%) | Â |
| Â | South Asia | 57 (28.5%) | 46 (20.7%) | 2 (25.0%) | Â |
| Â | Africa | 5 (2.5%) | 8 (3.6%) | 0 (0.0%) | Â |
Position | Bedside Nurses | 164 (82.0%) | 177 (79.7%) | 8 (100.0%) | 0.69 |
| Â | Educator & specialist | 17 (8.5%) | 22 (9.9%) | 0 (0.0%) | Â |
| Â | Administration | 19 (9.5%) | 23 (10.4%) | 0 (0.0%) | Â |
Education | Doctorate | 2 (1.0%) | 1 (0.5%) | 0 (0.0%) | 0.69 |
|  | Master’s degree | 39 (19.5%) | 44 (19.8%) | 1 (12.5%) |  |
|  | Bachelor’s degree | 155 (77.5%) | 166 (74.8%) | 7 (87.5%) |  |
|  | Associate’s degree/Diploma | 4 (2.0%) | 11 (5.0%) | 0 (0.0%) |  |
Height (cm), mean (SD) | Â | 160.9 (8.7) | 161.8 (7.8) | 161.0 (7.8) | 0.57 |
Weight (kg), mean (SD) | Â | 78.6 (60.1) | 74.2 (13.4) | 70.1 (9.5) | 0.53 |
Regular Duty hours | 12Â h/ day | 10 (5.0%) | 11 (5.0%) | 2 (25.0%) | 0.045 |
| Â | 8Â h/day | 190 (95.0%) | 211 (95.0%) | 6 (75.0%) | Â |
Types of Duty | Day duty only | 63 (31.5%) | 80 (36.0%) | 1 (12.5%) | 0.39 |
| Â | Rotating shift with night duty | 132 (66.0%) | 133 (59.9%) | 7 (87.5%) | Â |
| Â | Rotating shift without night duty | 5 (2.5%) | 9 (4.1%) | 0 (0.0%) | Â |
Are you infected with covid-19? | No | 94 (47.0%) | 100 (45.0%) | 4 (50.0%) | 0.90 |
| Â | Yes | 106 (53.0%) | 122 (55.0%) | 4 (50.0%) | Â |
If yes, does it affect your physical activity level after covid-19 infection? | No | 49 (24.5%) | 78 (35.1%) | 4 (50.0%) | 0.006 |
| Â | Yes, I feel easily exhausted after an infection | 57 (28.5%) | 44 (19.8%) | 0 (0.0%) | Â |
Did you use any self-monitoring tracking devices or smartphone applications to | No | 161 (80.5%) | 155 (69.8%) | 7 (87.5%) | 0.029 |
| Â | Yes | 39 (19.5%) | 67 (30.2%) | 1 (12.5%) | Â |
Smoking status | Smoking daily | 12 (6.0%) | 11 (5.0%) | 1 (12.5%) | 0.39 |
| Â | Occasional smoker | 7 (3.5%) | 8 (3.6%) | 0 (0.0%) | Â |
| Â | Nonsmoker | 175 (87.5%) | 200 (90.1%) | 6 (75.0%) | Â |
| Â | Former smoker | 6 (3.0%) | 3 (1.4%) | 1 (12.5%) | Â |
Do you feel that the current level of your physical activity is adequate for the main | No, I feel I need to do more for my physical health | 11 (5.5%) | 4 (1.8%) | 0 (0.0%) | 0.035 |
| Â | Yes, it meets my needs for physical health | 1 (0.5%) | 4 (1.8%) | 0 (0.0%) | Â |