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. 2007 Dec 4;4:63. doi: 10.1186/1479-5868-4-63

Table 2.

Results of hierarchical multiple regression to explain walking and physical activity by perceived environmental variables

Step Variable in model Adjusted R2 change Standardized Beta
Associations with total minutes of walking per week (n = 262)
1. Gender .001 .084
2. Age .037 -.140*
3. BMI .079 -.256**
4. Home equipment -.004
Having shoes .090
Sqrt Aesthetics .052 .186*
Convenience .048
Sqrt Safety -.130*
Associations with total minutes of all intensity physical activity (n = 262)
1. Gender .034 -.163*
2. Age .039 -.180**
3. BMI .029 -.164*
4. Home equipment -.047
Having shoes .019
Sqrt Aesthetics .017 .187
Convenience -.021
Sqrt Safety -.094
Associations with total minutes of strenuous physical activity per week (n = 120)
1. Gender .015 -.151
2. Age .024 -.187
3. BMI .029 -.163
4. Home equipment -.224
Having shoes .029
Sqrt Aesthetics .124
Convenience .032
Sqrt Safety .072 -.030
Associations with total minutes of moderate physical activity per week (n = 165)
1. Gender .014 -.090
2. Age .022 -.127
3. BMI .004 -.084
4. Home equipment .114
Having shoes .049
Sqrt Aesthetics .028 .027
Convenience .001
Sqrt Safety -.125
Associations with total minutes of light physical activity per week (n = 242)
1. Gender .001 .007
2. Age .013 -.090
3. BMI .017 -.147*
4. Home equipment .042
Having shoes .017
Sqrt Aesthetics .007 -.031
Convenience -.002
Sqrt Safety -.060

*p < .05, **p < .001; Sqrt= square root transformation