Hilly neighborhoods are associated with increased risk of weight gain among older adults in rural Japan: a 3-years follow-up study

Table 3 Multinomial logistic regression for the association between weight status and each neighborhood environmental attributes

Neighborhood environmental attributes	400 m Network buffer				800 m Network buffer
	Weight gain		Weight loss		Weight gain		Weight loss
	OR	95% CI	OR	95% CI	OR	95% CI	OR	95% CI
Land slope (2nd vs. 1st)	1.295	(0.527, 3.184)	0.798	(0.460, 1.385)	3.013	(1.207, 7.521)	1.223	(0.712, 2.101)
Land slope (3rd vs. 1st)	2.351	(1.048, 5.275)	1.007	(0.591, 1.716)	3.399	(1.404, 8.229)	1.069	(0.617, 1.852)
Land slope (4th vs. 1st)	2.578	(1.175, 5.654)	0.837	(0.480, 1.461)	3.084	(1.295, 7.343)	0.968	(0.561, 1.671)
Public transit stop density (≥ 1 vs. 0)	0.607	(0.356, 1.035)	0.851	(0.574, 1.261)	0.847	(0.466, 1.538)	1.151	(0.716, 1.848)
Residential density (2nd vs. 1st)	0.566	(0.270, 1.189)	0.830	(0.487, 1.416)	0.602	(0.292, 1.239)	1.389	(0.822, 2.347)
Residential density (3rd vs. 1st)	0.414	(0.190, 0.899)	0.622	(0.363, 1.065)	0.417	(0.197, 0.880)	0.682	(0.387, 1.202)
Residential density (4th vs. 1st)	0.952	(0.473, 1.913)	0.912	(0.513, 1.618)	0.803	(0.390, 1.654)	1.125	(0.630, 2.009)
Intersection density (2nd vs. 1st)	0.491	(0.221, 1.092)	1.433	(0.854, 2.406)	0.834	(0.418, 1.663)	0.850	(0.496, 1.454)
Intersection density (3rd vs. 1st)	0.725	(0.349, 1.508)	1.302	(0.754, 2.248)	0.568	(0.260, 1.239)	1.152	(0.686, 1.936)
Intersection density (4th vs. 1st)	0.660	(0.323, 1.349)	1.112	(0.646, 1.915)	0.835	(0.408, 1.711)	0.851	(0.484, 1.495)
Park and recreational center (≥ 1 vs. 0)	0.529	(0.179, 1.557)	1.081	(0.569, 2.052)	1.432	(0.803, 2.554)	1.045	(0.671, 1.630)

Each neighborhood environmental attribute was included separately
Age, gender, baseline weight, smoking, drinking, education attainment, and driving license were adjusted
Italic shows significance p < 0.05

ISSN: 1476-072X