{"id":73145,"date":"2026-09-24T17:12:29","date_gmt":"2026-09-24T17:12:29","guid":{"rendered":"https:\/\/revista-apunts.com\/tablas\/tabla-1-166-02\/"},"modified":"2026-09-24T17:40:03","modified_gmt":"2026-09-24T17:40:03","slug":"tabla-1-166-02","status":"publish","type":"tablas","link":"https:\/\/revista-apunts.com\/en\/tablas\/tabla-1-166-02\/","title":{"rendered":"Table 1 \u2013 166.02"},"content":{"rendered":"\n

Table 1<\/h2>\n\n\n\n

Baseline characteristics of participants in the experimental group (EG) and control group (CG)\u00a0<\/em><\/em><\/p>\n\n\n\n
Variables<\/td>Total (n<\/em> = 52)<\/td>EG (n<\/em>\u00a0=\u00a027)<\/td>CG (n<\/em>\u00a0=\u00a025)<\/td>p<\/em><\/td><\/tr>
Gender %<\/strong> (n)<\/em><\/td><\/tr>
Male<\/td>46.2\u2006% (24)<\/td>55.6% (15)<\/td>36\u2006% (9)<\/td>.16<\/td><\/tr>
Female<\/td>53.8\u2006% (28)<\/td>44.4\u2006% (12)<\/td>64\u2006% (16)<\/td><\/td><\/tr>
Age<\/strong> <\/strong>(<\/em>x\u0304 \u00b1\u00a0SD)<\/em><\/td>30.6 \u00b1  9.94<\/td>31.04 \u00b1  9.20<\/td>30.12 \u00b1  10.85<\/td>.57<\/td><\/tr>
Role % <\/strong>(n)<\/em><\/td><\/tr>
Students<\/td>42.3\u2006% (22)<\/td>37\u2006% (10)<\/td>48\u2006% (12)<\/td>.42<\/td><\/tr>
Staff<\/td>57.7\u2006% (30)<\/td>63\u2006% (17)<\/td>52\u2006% (13)<\/td><\/td><\/tr>
Residential setting<\/strong><\/strong><\/td><\/tr>
Rural<\/td>9.6\u2006% (5)<\/td>3.7\u2006% (1)<\/td>16\u2006% (4)<\/td>.13<\/td><\/tr>
Urban<\/td>90.4\u2006% (47)<\/td>93.3\u2006% (26)<\/td>84\u2006% (21)<\/td><\/td><\/tr>
Car ownership %<\/strong> (n)<\/em><\/td><\/tr>
Yes<\/td>80.8\u2006% (42)<\/td>77.8\u2006% (21)<\/td>84\u2006% (21)<\/td>.57<\/td><\/tr>
No<\/td>19.2\u2006% (10)<\/td>22.2\u2006% (6)<\/td>16\u2006% (4)<\/td><\/td><\/tr>
Bicycle ownership % <\/strong>(n)<\/em><\/td><\/tr>
Yes<\/td>84.6\u2006% (44)<\/td>96.3\u2006% (26)<\/td>72\u2006% (18)<\/td>.01**<\/td><\/tr>
No<\/td>15.4\u2006% (8)<\/td>3.7\u2006% (1)<\/td>28\u2006% (7)<\/td><\/td><\/tr>
Self-rated health % <\/strong>(n)<\/em><\/td><\/tr>
Excellent<\/td>28.8\u2006% (15)<\/td>37\u2006% (10)<\/td>20\u2006% (5)<\/td>.38<\/td><\/tr>
Good<\/td>61.5\u2006% (32)<\/td>55.6\u2006% (15)<\/td>68\u2006% (17)<\/td><\/td><\/tr>
Fair<\/td>9.6\u2006% (5)<\/td>7.4\u2006% (2)<\/td>12\u2006% (3)<\/td><\/td><\/tr>
PALs\u00a0 (METs)<\/strong> <\/strong>(<\/em>x\u0304 \u00b1\u00a0SD)<\/em> <\/td><\/tr>
Total<\/td>4786.3 \u00b1 3036.5<\/td>5224.2 \u00b1 3767.2<\/td>4313.5 \u00b1 1941.7<\/td>.72<\/td><\/tr>
Vigorous\u00a0<\/td>1438.5 \u00b1 1380.6<\/td>1484.4 \u00b1 1610.0<\/td>1388.8 \u00b1 1112.3<\/td>.93<\/td><\/tr>
Moderate<\/td>790.4 \u00b1 863.3<\/td>1039.3 \u00b1 1074.3<\/td>521.6 \u00b1 434.1<\/td>.06<\/td><\/tr>
Walking<\/td>2557.5 \u00b1 1590.2<\/td>2700.5 \u00b1 1853.9<\/td>2403.1 \u00b1 1265.8<\/td>.81<\/td><\/tr>
Sedentary behavior (hours)\u00a0<\/strong> <\/strong>(<\/em>x\u0304 \u00b1 SD)<\/em><\/td>8.2 \u00b1 3.1<\/td>8.3 \u00b1 3.8<\/td>8.2 \u00b1 2.2<\/td>.98<\/td><\/tr>
Regular mode of commuting<\/strong><\/td><\/tr>
Active<\/td>61.5\u2006% (32)<\/td>81.5\u2006% (22)<\/td>40\u2006% (10)<\/td>.002**<\/td><\/tr>
Passive<\/td>38.5\u2006% (20)<\/td>18.5\u2006% (5)<\/td>60\u2006% (15)<\/td><\/td><\/tr>
Mode of commuting to university<\/strong><\/strong><\/strong><\/td><\/tr>
Active\u00a0<\/td>25\u2006% (13)<\/td>44.4\u2006% (12)<\/td>4\u2006% (1)<\/td><.001***<\/td><\/tr>
Passive<\/td>75\u2006% (39)<\/td>55.6\u2006% (15)<\/td>96\u2006% (24)<\/td><\/td><\/tr>
Purpose of bicycle use<\/strong><\/strong><\/td><\/tr>
Non-users<\/td>28.8\u2006% (15)<\/td>3.7\u2006% (1)<\/td>56\u2006% (14)<\/td><.001***<\/td><\/tr>
Commuters<\/td>32.7\u2006% (17)<\/td>55.6\u2006% (15)<\/td>8\u2006% (2)<\/td><\/td><\/tr>
Sport<\/td>17.3\u2006% (9)<\/td>25.9\u2006% (7)<\/td>8\u2006% (2)<\/td><\/td><\/tr>
Leisure<\/td>21.2\u2006% (11)<\/td>14.8\u2006% (4)<\/td>28\u2006% (7)<\/td><\/td><\/tr>
Frequency of bicycle use<\/strong><\/strong><\/td><\/tr>
Almost or every day<\/td>13.5\u2006% (7)<\/td>22.2\u2006% (6)<\/td>4\u2006% (1)<\/td><.001***<\/td><\/tr>
3\u20134\/week<\/td>23.1\u2006% (12)<\/td>37\u2006% (10)<\/td>8\u2006% (2)<\/td><\/td><\/tr>
1\u20132\/week<\/td>9.6\u2006% (5)<\/td>14.8\u2006% (4)<\/td>4\u2006% (1)<\/td><\/td><\/tr>
On weekends<\/td>9.6\u2006% (5)<\/td>11.1\u2006% (3)<\/td>8\u2006% (2)<\/td><\/td><\/tr>
Once a month<\/td>15.4\u2006% (8)<\/td>11.1\u2006% (3)<\/td>20\u2006% (5)<\/td><\/td><\/tr>
Non-users<\/td>28.8\u2006% (15)<\/td>3.7\u2006% (1)<\/td>56\u2006% (14)<\/td><\/td><\/tr>
Note. <\/em>x\u0304\u00a0=\u00a0=\u00a0mean; SD<\/em>\u00a0=\u00a0standard deviation; EG = experimental group; CG = control group; METs = metabolic equivalents of task. Statistical analyses were performed using the chi-square for categorical variables and the Mann\u2013Whitney U<\/em> test for continuous variables. Statistical significance was set at: p<\/em>\u00a0<\u00a0.05 (*), p<\/em>\u00a0<\u00a0.01 (**) and p<\/em>\u00a0<\u00a0.001 (***).<\/td><\/tr><\/tbody><\/table>\n\n\n\n
\n
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