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

Table 2

Comparison of physical activity and neighborhood environment of participants using IPAQ, NEWS-A, and accelerometers by sex.

	Male	Female	Overall
IPAQ-based physical activity indicators^a
Transportation PA
Active group	99 (42.9)	104 (42.1)	203 (42.5)
Low active group	132 (57.1)	143 (57.9)	275 (57.5)
Leisure time PA
Active group	57 (24.7)	64 (25.9)	121 (25.3)
Low active group	174 (75.3)	183 (74.1)	357 (74.7)
Accelerometer-based physical activity indicators^a
MVPA (minutes per day)*
36-	49 (43.4)	71 (58.2)	120 (51.1)
-35	64 (56.6)	51 (41.8)	115 (48.9)
Perception of neighborhood environment using the NEWS-A^b
Residential density	348.8±130.6	352.1±130.9	350.5±130.6
Land use mix diversity	2.88±0.81	2.85±0.81	2.86±0.81
Land use mix access	2.88±0.60	2.88±0.58	2.88±0.59
Street connectivity	2.82±0.53	2.80±0.51	2.81±0.52
Walking/cycling facilities	2.68±0.72	2.65±0.70	2.67±0.71
Aesthetics	2.69±0.78	2.70±0.75	2.69±0.76
Traffic safety	2.85±0.52	2.86±0.52	2.86±0.52
Crime safety	3.05±0.91	2.98±0.90	3.01±0.90

* P < 0.05 MVPA, moderate-vigorous physical activity; ^adata presented as 𝑁 (%); ^bdata presented as means ± SD.