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. 2019 Mar 18;14:100849. doi: 10.1016/j.pmedr.2019.100849

Table 2.

Neighborhood violence environment's association with BMI and WC (N = 90).

Beta coefficient (β) Standard Error (SE) p-Value
Model 1. Effect of neighborhood violent crime on BMI
Intercept 8.709 3.080 0.007
Number of violent crimes within 500 m 1.241 0.489 0.016
Child sex (female vs. male) −0.125 1.113 0.911
Child age (ordinal) 2.268 0.858 0.012
Maternal education (ordinal) 1.467 0.674 0.036
Lower daily fruit and vegetable consumption (yes) 0.191 1.156 0.869
Lower daily physical activity (yes) 2.787 1.394 0.053
R-square 27%
c (PCV)a 70%



Model 2. Effect of neighborhood violent crime on waist circumference
Intercept 35.292 9.503 0.001
Number of violent crimes within 500 m 0.723 0.493 0.151
Child sex (female vs. male) 1.510 3.138 0.634
Child age (ordinal) 9.882 2.417 0.0002
Maternal education (ordinal) 0.915 2.317 0.695
Lower daily fruit and vegetable consumption (yes) 0.256 3.467 0.942
Lower daily physical activity (yes) 5.510 4.271 0.206
R-square 15%
Proportional Change in Variance (PCV)a 29%



Model 3. Indirect effect of telomere length on BMI
Indirect Effect = 0.318 (95% Bootstrapped CI = 0.048, 0.806) = the proportion of the effect of neighborhood violent crime on BMI that acts through telomere length



Model 4. Indirect effect of telomere length on waist circumference
Indirect Effect = 0.201 (95% Bootstrapped CI = 0.038, 0.520) = the proportion of the effect of neighborhood violent crime on WC that acts through telomere length
a

PCVneighborhood(n) = [(Vn−1 − Vn−2) / Vn−1], where Vn−1 = neighborhood variance in the empty model and Vn−2 is neighborhood variance in the model including violent crime rate.