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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Health Place. 2016 May 7;40:15–20. doi: 10.1016/j.healthplace.2016.04.008

Table 2.

Clinical and Neighborhood Characteristics of Study Sample

Baseline Follow-up Difference

Mean (SD) Mean (SD) Mean (SD)
Individual-level variables
 Race/ethnicity
  Non-Hispanic white 35.4% N/A N/A
  Black 23.7% N/A N/A
  Hispanic 22.1% N/A N/A
  Asian 9.6% N/A N/A
  Other race 9.1% N/A N/A
 Female 48.0% N/A N/A
 Age 64.4 (14.7) N/A N/A
 BMI (km/m2) 32.2 (7.2) 32.0 (7.4) −0.2 (2.4)
 Comorbidity Score 2.1 (1.5) 2.4 (1.6) 0.2 (1.2)
 % on meds associated with weight gain 5.0% 5.9% 0.9%
 % on meds associated with weight loss 6.4% 6.7% 0.3%
Area-level variablesa
 Produce store count (1 mi network radius) 0.4 (0.6) 0.4 (0.6) 0.0 (0.6)
 Fast food count (1 mi network radius) 4.0 (3.3) 4.4 (3.6) 0.4 (1.2)
 Convenience store count (1 mi network radius) 2.7 (2.1) 2.5 (2.2) −0.2 (1.2)
 Physical activity venue density (1 network radius) 2.0 (1.7) 2.2 (1.9) 0.1 (0.6)
 Population density (pop/sq mi) (census block group) 9,432 (5,529) 9,752 (5,806) 320 (2,145)
 Federal poverty rate (census block group) 17.6% (12.9%) 19.7% (13.3%) 2.1% (9.6%)
a

Area level variables were calculated around each individual residence.