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. Author manuscript; available in PMC: 2012 Nov 1.
Published in final edited form as: Am J Prev Med. 2011 Nov;41(5):541–545. doi: 10.1016/j.amepre.2011.07.015

Table 1.

BMI data based on direct height and weight measures collected among two mobility-impaired samples in the greater Kansas City metro area, n (%) unless otherwise indicated

Sample 1a
n=108
Sample 2b
n=128
Demographic variables
Age (years), M (SD) 44.4 8.2 43.9 13.0
Years live with disability, M (SD) 16.3 15.5 22.0 15.9
Female 108 100 64 50.0
Caucasian 76 70.3 99 78.0
Primary disabling condition
 Joint and connective tissue disease 37 34.3 6 4.7
 Multiple sclerosis 16 14.8 10 7.8
 Spinal cord injury/traumatic brain injury 16 14.8 65 50.8
 Muscular dystrophy 12 11.1 -- --
 Spina bifida/cerebral palsy 6 5.6 27 21.1
 Amputation 2 1.9 5 3.9
 Other 19 17.6 15 11.7
Assistive device usec 62 57.4 128 100
Weight categories (%)
 Under/normal weight (BMI < 18.5–24.9) 37 34.3 35 27.3
 Overweight (BMI 25–29.9) 19 17.6 32 25.0

 Obese (BMI ≥30) 52 48.1 61 47.7

 Mild obesity (BMI 30–34.9) 17 15.7 22 17.2
 Moderate obesity (BMI 35–39.9) 14 13.0 21 16.4

 Extreme obesity (BMI ≥40) 21 19.4 18 14.1
a

sample of women with mobility impairment

b

sample of men and women who require wheelchair use due to mobility impairment

c

Device use differed between the samples: the Sample 1 included wheelchairs, canes, crutches while all in the Sample 2 were wheelchair users