Table 2.
Models Predicting Firearm-Related Suicide Rate from 2012 to 2016 in the US
Model 1 (R [2] = 0.660) | Model 2 (R2 = 0.678) | Model 3 (R2 = 0.716) | Model 4 (R2 = 0.742) | |
---|---|---|---|---|
β (SE) | β (SE) | β (SE) | β (SE) | |
Primary care provider rate | − < 0.01 (0.08) | 0.01 (0.08) | − 0.01 (0.07) | 0.05 (0.07) |
Psychiatrist rate | 0.02 (0.01) | 0.01 (0.01) | 0.02 (0.01) | 0.01 (0.01) |
Poverty rate | 0.05 (0.04) | 0.03 (0.04) | 0.08 (0.04)* | 0.08 (0.04)* |
Hunting license rate | 0.01 (< 0.01)** | 0.01 (< 0.01)** | 0.01 (< 0.01)** | 0.01 (< 0.01)** |
Density | − 0.27 (0.08)** | − 0.25 (0.08)** | − 0.15 (0.08)* | − 0.14 (0.07)* |
Medicaid generosity | − 0.98 (0.28)** | − 0.36 (0.30) | 0.13 (0.30) | |
Worker index | − 0.43 (0.17)* | − 0.46 (0.16)** | ||
Alcohol regulations | − 0.44 (0.10)** | − 0.43 (0.10)** | ||
Mental illness prohibition laws | − 0.50 (0.10)** |
SE, standard error; N = 242. This table displays fixed effects models of state-level healthcare factors and policy factors predicting firearm-related suicide rate, excluding the District of Columbia and US territories. Models are adjusted for year and census division. *Value is significant at the 0.05 level. **Value is significant at the 0.01 level