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Table 4 The association between neighbourhood perceptions and time spent on different intensity levels of PA

From: The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques

 

Model 5

Model 6

Model 7

Coef. (SE)

Coef. (SE)

Coef. (SE)

Wealthy

0.160 (2.043)

2.186 (2.563)

1.405 (2.108)

Safety

2.183** (1.104)

3.016** (1.454)

1.665** (0.751)

Lively

0.789 (1.104)

1.761 (1.977)

2.377** (1.624)

Depressing

− 2.202** (1.075)

− 2.712** (1.307)

− 1.148** (0.508)

Boring

− 0.079 (1.208)

− 0.911 (1.525)

− 1.722** (0.858)

Beautiful

0.378 (0.564)

2.227** (1.017)

1.734*** (0.526)

Number of observations

808

808

808

  1. Coef. coefficient, SE standard error
  2. Significance levels: “*” p < 0.100, “**”, p < 0.050, “***” p < 0.010. All models were adjusted for individual-level covariates. The outcome variables for Models 5, 6 and 7 were light PA time, moderate PA time and vigorous PA time, respectively