Table 2.
Odds Ratio | P value | |
---|---|---|
Demographic characteristics | ||
Age group young (18–44) vs middle (55–64) | 1.42 (1.21 – 1.68) | 0.0001 |
BMI group (kg/m2) <25 vs very obese | 1.26 (1.08 – 1.47) | 0.003 |
Female sex | 0.98 (0.88 – 1.09) | 0.72 |
Race/ethnicity: Hispanic | varied according to service | |
Socioeconomic Factors | ||
Competing family demands | 1.09 (0–.87 – 1.38) | 0.44 |
Marital status (no vs yes) | 1.06 (0.93 – 1.91) | 0.38 |
No Transportation (vs yes) | 1.04 (0.87 – 1.24) | 0.64 |
Employed (vs retired) | 1.29 (1.13 – 1.46) | 0.007 |
Trust Doctor (much vs little) | 0.93 (0.79 – 1.10) | 0.33 |
Education Level (Low vs high) | 1.01 (0.83 – 1.23) | 0.92 |
Annual income (low vs high) | 1.26 (1.00 – 1.56) | 0.02 |
Health-related characteristics | ||
Depression (vs no) | 1.12 (0.79 – 1.33) | 0.27 |
Smoker (vs no) | 1.18 (1.04 – 0.96) | 0.03 |
Duration of diabetes (yrs):< 5 vs > 15 | 1.27 (1.10 – 1.46) | 0.03 |
Medications | varied according to service | |
Daily SBGM No | 1.14 (1.02 – 1.27) | 0.03 |
Coronary heart disease: No | 1.11 (0.908 – 1.27) | 0.14 |
PCS-12 by quartile: (low vs high) | 1.03 (0.87 – 1.23) | 0.72 |
MCS-12 by quartile: (low vs high) | 1.12 (0.97 – 1.29) | 0.11 |
Charlson index: 0–1 vs > 3 | 1.42 (1.25 – 1.60) | 0.0001 |
significant (p<0.05) variables listed in bold. Note: we noted significant interactions for medications and race/ethnicity according to type of service; thus we present data for those analyses stratified according to service (Table 3).