Table 4.

Subject-level aggregated analyses of mean daily minutes of MVPA performed in the neighborhood in relation to two different greenness exposure predictors. The negative binomial generalized linear models controlled for gender, age, income and race. Other covariates tested were BMI, community, and the interaction between community and greenness variables.

Model^a,^b	β (95% CI)	Exp(β) (95% CI) Multiplicative effect on daily min. MVPA	P-value
Response Variable: MVPA Time
Mean daily minutes of neighborhood MVPA
Negative binomial regression with a log link
Predictor model 1: Exposure to Greener Spaces^c
0: Near zero average daily exposure (Ref.)
1: 1.5 – 20 minutes average daily exposure	0.75 (0.47, 1.02)	2.11 (1.60, 2.77)	< 0.001
2: > 20 minutes average daily exposure	1.55 (1.13, 1.97)	4.72 (3.09, 7.20)	< 0.001
Predictor model 2: Neighborhood Greenness
Mean neighborhood NDVI^d	0.13 (−0.27, 0.53)	1.14 (0.77, 1.70)	0.51

n = 208 subjects.

Gender significant in both models. Income significant in model 1. Age significant in model 2. Race, BMI, the community design variable, and the community design interaction with the greenness variables were not significant in either model.

30-second epochs with NDVI > 90^th percentile of dataset values were classified as a “greener space”.

Negative NDVI 30×30m pixel values primarily representing water were reassigned to 0, then mean NDVI was calculated for all 30×30m pixels within 500m buffers around geocoded residential addresses. For the regression model neighborhood mean NDVI values were rescaled by dividing by the 10–90^th quantile range of these values.