Research Article

Association between Physical Activity and Neighborhood Environment among Middle-Aged Adults in Shanghai

Table 3

Association between physical activity and neighborhood environment measures.

Correlates of PASelf-reported PA (IPAQ) Accelerometer-measured PA
Transportation PA
Leisure time PA
MVPA
(low active group and active group)(low active group and active group)(≥36 minutes/day group and <36 minutes/day group)
Model Aa OR (95% CI)Model Bb OR (95% CI)Model A
OR (95% CI)
Model B
OR (95% CI)
Model A
OR (95% CI)
  Model B
OR (95% CI)

Area
 SuburbReference Reference Reference
 Downtown2.127 (1.212,   3.734) ** 2.110 (1.100,  4.048) * 1.224 (0.516, 2.900)
Sex
 MaleReference Reference Reference
 Female0.960 (0.654, 1.411) 1.054 (0.676, 1.643) 2.111 (1.182,   3.771) *
Family income per year
 <20,000 RMBReference Reference Reference
 2–40000 RMB1.129 (0.643, 1.983) 1.453 (0.753, 2.805) 0.679 (0.284, 1.623)
 40000 RMB<0.678 (0.389, 1.182) 1.111 (0.585, 2.110) 0.770 (0.324, 1.830)
Educational background
 Primary schoolReference Reference Reference
 Junior high school0.661 (0.223, 1.961) 6.350 (0.793, 50.814) 0.864 (0.160, 4.663)
 High school0.780 (0.243, 2.502) 3.884 (0.463, 32.611) 2.296 (0.362, 14.580)
 College0.581 (0.178, 1.897) 3.493 (0.408, 29.876) 5.157 (0.784, 33.907)
 University and above0.665 (0.163, 2.712) 2.054 (0.192, 22.007) 1.502 (0.175, 12.876)
Residential density 1.001 (1.000, 1.003) 1.001 (0.999, 1.002) 1.003 (1.001,   1.005) ** 1.003 (1.000,   1.005) ** 0.999 (0.997, 1.002) 0.997 (0.995, 1.000)
Land use mix diversity1.117 (0.848, 1.470)0.967 (0.708, 1.321) 0.986 (0.718, 1.354) 0.932 (0.654, 1.330) 1.124 (0.727, 1.737) 0.935 (0.556, 1.573)
Land use mix access0.965 (0.629, 1.480) 1.042 (0.670, 1.621) 0.981 (0.596, 1.615) 1.000 (0.601, 1.663) 1.117 (0.586, 2.129) 1.356 (0.671, 2.740)
Street connectivity0.791 (0.522, 1.198) 0.797 (0.516, 1.232) 0.599 (0.366,   0.980) * 0.598 (0.359,   0.995) * 1.207 (0.712, 2.046) 1.147 (0.652, 2.017)
Walking/cycling facilities1.131 (0.825, 1.551) 1.008 (0.724, 1.402) 0.990 (0.688, 1.425) 0.951 (0.650, 1.391) 1.117 (0.720, 1.733) 0.892 (0.552, 1.441)
Aesthetics1.156 (0.867, 1.540) 1.103 (0.819, 1.486) 0.986 (0.707, 1.375) 0.945 (0.669, 1.334) 1.145 (0.758, 1.730) 1.040 (0.668, 1.618)
Traffic safety0.648 (0.416, 1.009) 0.714 (0.444, 1.146) 0.962 (0.576, 1.608) 0.980 (0.569, 1.687) 0.428 (0.226,  0.811) ** 0.514 (0.257, 1.030)
Crime safety0.987 (0.785, 1.240) 1.012 (0.799, 1.283) 1.044 (0.800, 1.362) 1.061 (0.806, 1.398) 1.397 (0.970, 2.013) 1.350 (0.912, 1.998)

aModel A only includes neighborhood environment. bModel B also includes area, sex, family level, and educational background besides all the factors in Model A. *P < 0.05; **P < 0.01.