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. Author manuscript; available in PMC: 2017 Dec 6.
Published in final edited form as: Prev Med. 2016 Sep 20;93:57–63. doi: 10.1016/j.ypmed.2016.09.019

Table 1.

Percentages, Means, and Standard Deviations for Sample Characteristics for Older Adults from the Seattle-King County, WA and Baltimore, MD-Washington, DC Regions 2005–2008

Variable Percent M SD
Participant background characteristics
 Age (in years) 74.5 6.3
 % Female 52.1
 % Non-Hispanic White 70.3
 Highest education level
  Less than high school diploma/GED 5.5
  Completed high school 15.6
  Some college or vocational training 29.8
  Completed college or university 26.1
  Completed graduate degree 23.1
 % Married or cohabiting 56.8
 Annual income (in $1000) 40–49a 20–29, 70–79b
 Vehicles per adults in household 0.9 0.4
 Number of people in household 1.8 0.8
 Time at current residence (in years) 24.8 15.5
 BMI 26.5 4.8
Accelerometer measures
 Sedentary time (minutes/day) 561.4 100.8
 Low light PA (minutes/day) 222.4 68.1
 High light PA (minutes/day) 29.8 21.5
 MVPA (minutes/day) 13.6 16.8
CHAMPS-based measuresc
 Walking for errands (hours/week) 0.6 1.3
 Walking for exercise (hours/week) 3.4 4.1
GIS-measured BE features
 Residential density 7.4 6.0
 Intersection density 63.1 23.0
 Land use mix 0.2 0.3
 Retail floor area ratio 0.2 0.2
 Transit stop density 15.6 10.6
 Park density 2.4 2.1
 Recreation facility density 3.4 4.9

Notes.

a

Median response.

b

25th and 75th percentiles.

c

CHAMPS—Community Healthy Activities Model Program for Seniors questionnaire