Influence of the built environment of Nanjing’s Urban Community on the leisure physical activity of the elderly: an empirical study

Table 5 Multiple linear regression models affecting factors of leisure physical activity in the elderly

variable	Model 1			Model 2			Model 3
variable	β	SE	Sig	β	SE	Sig	β	SE	Sig
Female	Reference						Reference
Male	5.37	5.06	0.29				6.55	5.05	0.20
60–65 years	Reference						Reference
66–70 years	−1.72	5.10	0.74				−0.95	5.12	0.85
71–75 years	−3.89	5.75	0.50				−2.85	5.82	0.62
76 or more	−6.73	5.96	0.26				−4.84	6.09	0.43
No disease	Reference						Reference
Disease	1.00	4.10	0.81				−0.55	4.15	0.89
Below 1000¥	Reference						Reference
1001–2000¥	23.31	7.03	0.00				20.27	7.10	0.01
2001¥ or more	21.15	5.50	0.00				20.40	5.58	0.00
Living with	Reference						Reference
Alone	2.55	3.99	0.52				2.33	4.01	0.56
Health poor	Reference						Reference
Average	8.56	8.02	0.29				9.26	8.01	0.25
Good	6.64	8.01	0.41				6.76	8.05	0.40
Elementary school	Reference						Reference
Junior high school	7.33	5.45	0.18				3.03	5.69	0.59
Senior high school	10.80	6.06	0.08				5.69	6.36	0.37
University	2.53	8.02	0.75				−1.75	8.17	0.83
Access to fitness				3.63	2.90	0.21	2.54	2.87	0.38
Access to services				−0.84	2.70	0.75	0.28	2.69	0.92
Community security				4.64	2.99	0.12	0.31	3.08	0.92
Cultural attractions				1.39	2.91	0.63	2.15	2.90	0.46
Natural landscape				−3.43	3.20	0.28	−2.74	3.22	0.40
Residential density				0.93	2.71	0.73	0.39	2.68	0.89
Geographical location				6.73	2.55	0.01	4.52	2.57	0.08
Street pavement slope				−6.95	3.4	0.04	−7.72	3.36	0.02
Traffic safety				2.59	3.57	0.47	2.69	3.63	0.46
Street connectivity				9.32	3.31	0.01	7.34	3.36	0.03
Model fit	R² = 0.12	F = 3.96		R² = 0.09	F = 3.66		R² = 0.16	F = 3.03
Significant	p<0.001			p<0.001			p<0.001

Dependent variable: total score of physical activity; β is the regression coefficient; SE is the standard error

ISSN: 1471-2458