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Table 1 Variables used in generalized adjacent-categories logistic regression of dentition status and in standard logistic regression of self-rated oral health: ElderSmile program, New York, NY, 2006-2013 (n = 1822)

From: Estimating peer density effects on oral health for community-based older adults

Variables Missing Proportion Standard    
Values =0 =1 =2 =3 Mean Deviation Min. Max.
Outcome Variables
 Dentition status(0 = functional; 1 = limited;2 = edentulous) 18.2% 35.7% 44.6% 19.7% 0 2
 Self-rated oral health (0 = poor;1 = fair or better) 15.4% 22.2% 77.8% 0 1
Explanatory Variables
 Gender(0 = male; 1 = female) 0.933% 27.3% 72.7% 0 1
 Race/ethnicity(0 = Hispanic;1 = White; 2 = Black;3 = Other) 4.83% 57.2% 11.2% 28.2% 3.46% 0 3
 Agein years 2.14% 73.48 10.07 50 105
 Smoking status(0 = current; 1 = former; 2 = never) 24.8% 11.6% 30.3% 58.1% 0 2
 Medicaid dental insurance 13.8% 48.3% 51.7% 0 1
 Private dental insurance 13.7% 93.3% 6.74% 0 1
 Education (0 = primary; 1 = high school; 2 = college) 11.5% 37.8% 35.0% 26.9% 0 2
 Peer density (KDE) for Model 1,h = 0.25 mile 27,320 9290 3277 59,370
 Peer density (KDE) for Model 2,h = 0.50 mile 22,280 6274 3081 53,190
 Peer density (KDE) for Model 3,h = 1.00 mile 17,690 3789 3796 31,820
 Peer density (KDE) for Model 4,h = 1.50 mile 15,740 3010 2492 27,130
  1. Note: KDE kernel density estimate, in units of older adults (aged 50 years and older) per square mile