Table 4.

Predictors of “don’t know” responses to perceived climate change health vulnerability.

	b	SE	p	Odds Ratio (95% CI)
Constant	2.04	0.46	<0.001
Perceived climate health impacts	−0.21	0.06	<0.001	0.81 (0.72, 0.91)
Female	−0.60	0.19	<0.01	0.55 (0.38, 0.79)
African American/black	−0.47	0.18	<0.01	0.62 (0.44, 0.88)
Hispanic/Latino	−1.10	0.34	<0.01	0.33 (0.17, 0.65)
Income	−0.21	0.04	<0.001	0.81 (0.74, 0.88)
Education	−0.37	0.08	<0.001	0.69 (0.59, 0.80)
Chronic disease	−0.33	0.11	<0.01	0.72 (0.58, 0.89)

Model χ2 (7) = 149.900, p < 0.001; pseudo R² values, Cox and Snell, 0.068; Nagelkerke, 0.153. “Don’t know” n = 183; “other” n = 1939. The boldface unstandardized coefficients indicate statistical significance. The final logistic regression model represents only those predictors with coefficients significant at p < 0.10 in the original model, entered hierarchically in blocks.