Table 2.
Variable
|
Physically active
(n = 125)
|
Physically inactive
(n = 94)
|
P value1
|
IBD | 0.8922 | ||
Crohn’s disease | 53 (42.4%) | 39 (41.5%) | |
Ulcerative colitis | 72 (57.6%) | 55 (58.5%) | |
Age | 39 (29.5-52) | 44 (29-55.25) | 0.506 |
BMI | 24.25 (21.47-26.28) | 22.72 (20.95-25.71) | 0.185 |
Gender | 0.9522 | ||
Male | 67 (53.6%) | 50 (53.2%) | |
Female | 58 (46.4%) | 44 (46.8%) | |
Education | 0.903 | ||
Primary school | 34 (27.2%) | 25 (26.6%) | |
Secondary school | 75 (60%) | 55 (58.5%) | |
Degree | 16 (12.8%) | 14 (14.9%) | |
Job | 0.432 | ||
Unemployed | 59 (47.2%) | 48 (51.1%) | |
Employee | 30 (24%) | 24 (25.5%) | |
Entrepreneur | 15 (12%) | 9 (9.6%) | |
Worker | 6 (4.8%) | 5 (5.3%) | |
Student | 15 (12%) | 8 (8.5%) | |
Smoking status | 0.607 | ||
Active smoker | 21 (16.8%) | 15 (16%) | |
Past smoker | 29 (23.2%) | 19 (20.2%) | |
Non-smoker | 75 (60%) | 60 (63.8%) | |
Alcohol consumer | 0.8922 | ||
Yes | 10 (8%) | 4 (4.3%) | |
No | 115 (92%) | 90 (95.7%) | |
Comorbidity | 0.899 | ||
Diabetes | 8 (6.4%) | 4 (4.3%) | |
Hypertension | 20 (16%) | 10 (10.6%) | |
Recurrent UTI | 3 (3.2%) | 2 (2.1%) | |
Chronic renal failure | - | 1 (1.1%) | |
Nephrolithiasis | 3 (2.4%) | 2 (2.1%) | |
Asthma | 2 (1.6%) | 2 (2.1%) | |
COPD | 1 (0.8%) | 1 (1.1%) | |
Previous pneumonia | 2 (1.6%) | - | |
Dyslipidaemia | 28 (22.4%) | 19 (20.2%) | |
Arthritis | 32 (25.6%) | 34 (36.2%) | |
Hashimoto’s Thyroiditis | 12 (9.6%) | 10 (10.6%) | |
Partner | 0.5702 | ||
Yes No | 86 (68.8%) 39 (31.2%) | 68 (72.3%) 26 (27.7%) | |
Biologics (yes) | 91 (72.8%) | 63 (67%) | 0.3542 |
Steroids (yes) | 10 (8%) | 2 (2.1%) | 0.0592 |
The P value was calculated by checking the difference in the distribution of different variables between the two identified groups (i.e., physically active or inactive).
The Chi-square test or Fisher’s exact test was employed for evaluation.
BMI: Body mass index; COPD: Chronic obstructive pulmonary disease; UTI: Urinary tract infections. Data are expressed for continuous variables as median (interquartile range) and, for categorical and ordinal variables, as numerosity (%).