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 | Â | Â | Â | |||
|---|---|---|---|---|---|---|---|---|---|
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 |