Individual, Social, and Environmental Correlates of Active Transportation Patterns in French Women
Table 3
Characteristics of study participants by clusters of physical activity and sedentary behaviors (N = 23,432).
Cluster 1
Cluster 2
Cluster 3
Cluster 4
Cluster 5
Cluster 6
Chi2 p value
Active occupation, high sedentary leisure
Sedentary occupation, low leisure
Sedentary transportation
Sedentary occupation and leisure
Active transportation
Active leisure
n = 7088
n = 11897
n = 781
n = 1865
n = 1299
n = 502
(30.3%)
(50.8%)
(3.3%)
(8.0%)
(5.5%)
(2.1%)
Age(mean (SD))
43.8 (11.7)
41.7 (11.2)
43.8 (11.2)
39.6 (11.6)
45.6 (12.2)
48.0 (11.2)
<0.0001
Living with a partner (%)
73.5
69.9
72.2
57.9
64.8
71.3
<0.0001
Having a child under the age of 13 (%)
31.7
32.3
38.4
23.4
22.7
24.7
<0.0001
Individual education level (%)
<0.0001
High
27.5
45.8
29.9
46.5
32.0
31.1
Middle high
38.1
32.5
35.4
28.1
33.1
35.1
Middle-low
20.5
15.5
22.8
18.6
20.7
19.5
Low
13.9
6.2
12.0
6.8
14.3
14.3
Professional status (%)
<0.0001
Farmer
0.7
0.1
0.4
0.0
0.9
1.2
Craftsperson, company head
2.5
1.3
2.2
1.8
2.1
2.6
Executive (liberal profession, engineer)
20.7
39.1
25.4
36.3
28.1
31.3
Intermediate profession (technician, teacher, and supervisor)
35.2
25.3
31.0
19.4
25.6
29.7
Employee
33.1
27.1
34.7
31.5
35.3
29.5
Laborer
2.6
0.7
1.5
1.3
1.3
1.8
Urban setting (versus rural) (%)
86.8
90.6
85.9
93.7
94.8
84.7
<0.0001
Estimate significantly different from “Cluster 5, active transportation,” at , using Fisher’s -test. Fisher’s -test value. Missing values (). Missing values (). SD: standard deviation.
