Table 2. Combined results of regression of cardio-metabolic conditions on the multiple-imputed data.

Variable	Estimate	Std. Error	t-stat	p-value	df	Rel. Increase	FMI
Intercept	0.1236	0.0363	3.4049	0.0008	895	0.1937	0.1643
Diet	–0.0062	0.0026	–2.3217	0.0204	1206	0.1569	0.1371
Age	0.0296	0.0004	70.4279	<0.0001	1724	0.1307	0.1166
Sex	0.2894	0.0128	22.5830	<0.0001	857	0.1871	0.1596
Education	–0.0570	0.0037	–15.2098	<0.0001	553	0.2351	0.1932
Income	–0.0240	0.0038	–6.2648	<0.0001	168	0.4563	0.3213
Area income	–0.0286	0.0066	–4.3071	<0.0001	863	0.1864	0.1591
Street Tree den.	–0.0097	0.0018	–5.4025	<0.0001	801	0.1937	0.1643
Other Tree den.	–0.0001	0.0005	–0.1196	0.9048	776	0.1970	0.1667

R² = 0.1920, adjusted R² = 0.1845, F (8, 871*) = 25.6089, p < 0.0001. FMI is fraction of missing information. *The average of estimated degrees of freedoms.