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. Author manuscript; available in PMC: 2010 Jul 27.
Published in final edited form as: J Groups Addict Recover. 2009 Jan 1;4(1-2):100–109. doi: 10.1080/15560350802712470

Table 3.

Summary of Linear Regression Analysis for Neighborhood Variables Predicting Cumulative Abstinence

Neighborhood variable B SE B β
Neighborhood socio-economic status 0.01 0.02 0.10
Police station 0.06 0.05 0.22
Medical clinic 0.00 0.04 -0.01
Hospital 0.02 0.05 0.08
Social Welfare Dept. -0.01 0.07 -0.02
Homeless shelter -0.05 0.07 -0.13
Homeless food service 0.06 0.06 0.17
Well lit streets at night 0.01 0.10 0.02
Public parking -0.02 0.08 -0.04
Public transportation -0.03 0.08 -0.05
Gas/service station -0.03 0.04 -0.14
Library -0.05 0.04 -0.20
Large supermarket -0.07 0.05 -0.29
Large shopping mall 0.08 0.05 0.25
Mini-market/strip mall -0.02 0.04 -0.09
Economically depressed feeling 0.03 0.08 0.09
Empty buildings or lots 0.06 0.07 0.13
Streets deserted during the day 0.00 0.04 0.00
Streets deserted during the night 0.05 0.03 0.21
Other buildings are well kept 0.07 0.08 0.16
Streets clean/free of litter 0.06 0.09 0.16
Trees/greenery planted on streets 0.04 0.01 0.11
Homeless persons observed sleeping in neighborhood at night -0.14 0.08 -0.34
Homeless persons seen ‘hanging-out’ on streets during the day 0.17 0.09 0.48
Pawn shops visible 0.00 0.06 0.01
Intoxicated persons observed on the streets 0.10 0.15 0.37
Drug persons observed on streets -0.11 0.15 -0.41
Drug dealing observed on streets 0.07 0.05 0.26

n = 160 dwellings