Table 4.
Predictors of poor/fair health: multiple logistic regression models (n=3644)
Model 1* | Model 2* | Model 3* | Model 4* | Model 5* | |
---|---|---|---|---|---|
SSS compared to others in American society |
|||||
A lot worse off | 3.44 (2.11–5.60) | - | - | - | 4.29 (2.18–8.41) |
Somewhat worse off | 1.33 (0.98–1.80) | - | - | - | 1.48 (1.00–2.18) |
Same as | Ref | - | - | - | Ref |
Somewhat better off | 0.82 (0.63–1.08) | - | - | - | 0.97 (0.69–1.36) |
A lot better off | 0.55 (0.34–0.91) | - | - | - | 0.84 (0.43–1.65) |
SSS compared to others of the same race/ethnicity |
|||||
A lot worse off | - | 1.98 (1.16–3.39) | - | - | 0.54 (0.24–1.18) |
Somewhat worse off | - | 1.18 (0.88–1.58) | - | - | 0.78 (0.53–1.17) |
Same as | - | Ref | - | - | Ref |
Somewhat better off | - | 0.74 (0.56–0.98) | - | - | 0.79 (0.55–1.13) |
A lot better off | - | 0.45 (0.25–0.79) | - | - | 0.56 (0.26–1.21) |
SSS compared to your neighbors | |||||
A lot worse off | - | - | 2.09 (1.18–3.73) | - | 0.99 (0.49–2.00) |
Somewhat worse off | - | - | 1.11 (0.81–1.51) | - | 0.89 (0.62–1.29) |
Same as | - | - | Ref | - | Ref |
Somewhat better off | - | - | 0.89 (0.68–1.18) | - | 1.04 (0.77–1.40) |
A lot better off | - | - | 0.63 (0.36–1.12) | - | 0.97 (0.50–1.88) |
SSS compared to your parents when they were your age |
|||||
A lot worse off | - | - | - | 1.86 (1.21–2.88) | 1.58 (0.97–2.57) |
Somewhat worse off | - | - | - | 1.19 (0.84–1.67) | 1.15 (0.81–1.65) |
Same as | - | - | - | Ref | Ref |
Somewhat better off | - | - | - | 0.85 (0.64–1.12) | 0.87 (0.65–1.15) |
A lot better off | - | - | - | 0.71 (0.51–1.00) | 0.83 (0.58–1.19) |
Race/ethnicity | 0.76 (0.54–1.07) | 0.81 (0.57–1.14) | 0.76 (0.54–1.08) | 0.79 (0.56–1.11) | 0.78 (0.55–1.11) |
Black | |||||
Hispanic | 0.87 (0.62–1.21) | 0.88 (0.63–1.23) | 0.86 (0.62–1.20) | 0.86 (0.62–1.19) | 0.88 (0.63–1.23) |
White | Ref | Ref | Ref | Ref | Ref |
Household income | |||||
Under $10,000 | 1.54 (1.01–2.36) | 1.65 (1.08–2.51) | 1.68 (1.11–2.56) | 1.63 (1.07–2.48) | 1.49 (0.97–2.29) |
$10,000-$24,999 | 1.27 (0.89–1.82) | 1.32 (0.93–1.89) | 1.31 (0.92–1.87) | 1.28 (0.89–1.83) | 1.26 (0.88–1.81) |
$25,000-$39,999 | 0.86 (0.60–1.22) | 0.88 (0.61–1.26) | 0.86 (0.60–1.23) | 0.85 (0.59–1.12) | 0.88 (0.61–1.26) |
$40,000-$59,999 | Ref | Ref | Ref | Ref | Ref |
$60,000-$74,999 | 0.68 (0.41–1.13) | 0.69 (0.42–1.14) | 0.66 (0.40–1.10) | 0.67 (0.40–1.10) | 0.68 (0.41–1.13) |
$75,000-$99,999 | 0.60 (0.38–0.93) | 0.59 (0.38–0.93) | 0.57 (0.36–0.89) | 0.57 (0.36–0.89) | 0.59 (0.38–0.93) |
$100,000 or more | 0.87 (0.54–1.38) | 0.88 (0.55–1.40) | 0.79 (0.50–1.26) | 0.80 (0.51–1.28) | 0.89 (0.56–1.43) |
Education | |||||
No HS degree | 1.79 (1.19–2.71) | 1.89 (1.26–2.84) | 1.92 (1.28–2.87) | 1.90 (1.27–2.85) | 1.76 (1.16–2.68) |
HS graduate | 1.23 (0.95–1.60) | 1.22 (0.94–1.59) | 1.25 (0.97–1.62) | 1.27 (0.98–1.65) | 1.26 (0.97–1.64) |
Some college | Ref | Ref | Ref | Ref | Ref |
College graduate | 0.93 (0.66–1.33) | 0.94 (0.66–1.33) | 0.91 (0.64–1.29) | 0.89 (0.63–1.27) | 0.95 (0.66–1.35) |
Post-grad degree | 0.69 (0.45–1.06) | 0.69 (0.45–1.06) | 0.65 (0.42–1.00) | 0.64 (0.42–0.99) | 0.69 (0.45–1.07) |
Home ownership | |||||
Does not own residence | 1.56 (1.20–2.03) | 1.56 (1.20–2.02) | 1.55 (1.20–2.02) | 1.55 (1.19–2.01) | 1.54 (1.18–2.01) |
Owns residence | Ref | Ref | Ref | Ref | Ref |
Nagelkerke’s pseudo R2 | 0.34 | 0.33 | 0.33 | 0.33 | 0.34 |
Bolded figures are significant at p<0.05. In some instances, upper or lower confidence intervals are rounded to 1.00. In cases where bolded, exact figures did not cover 1.00.
All variables were entered simultaneously into the model, so each odds ratio is controlled for the other variables. All models also include covariates of age, gender, household size, marital status, health insurance, mental health conditions, and physical health conditions/risk factors.