Table 4.
Covariates |
Part 1: binary modela |
Part 2: negative binomial modelb |
||||
---|---|---|---|---|---|---|
Est. | aOR | 95% CI | Est. | SE | 95% CI | |
Intercept | − 4.86 | 0.01 | 0.01–0.01 | 0.87 | 0.09 | 0.71–1.04 |
Non-SUD | Referent | – | Referent | – | – | |
SUD | 0.28 | 1.33 | 1.19–1.48 | − 0.02 | 0.04 | − 0.10–0.06 |
Age group | ||||||
18–29 | Referent | – | – | Referent | – | – |
30–39 | 0.05 | 1.05 | 0.87–1.27 | 0.02 | 0.08 | − 0.13–0.18 |
40–49 | 0.001 | 1.00 | 0.84–1.19 | − 0.10 | 0.07 | − 0.24–0.04 |
50–59 | − 0.09 | 0.92 | 0.78–1.09 | − 0.18 | 0.07 | − 0.32–−0.05 |
60 + | − 0.14 | 0.87 | 0.72–1.05 | − 0.20 | 0.08 | − 0.36–−0.05 |
Gender | ||||||
Female | Referent | – | – | Referent | – | – |
Male | 0.07 | 1.08 | 0.98–1.18 | 0.13 | 0.04 | 0.06–0.20 |
Race/ethnicity | ||||||
Caucasian | Referent | – | – | Referent | – | – |
African American | 0.42 | 1.53 | 1.38–1.69 | 0.09 | 0.04 | 0.01–0.17 |
Others | 0.11 | 1.11 | 0.90–1.37 | − 0.03 | 0.09 | − 0.20–0.14 |
Residential location | ||||||
Metropolitan | Referent | – | – | Referent | – | – |
Micropolitan | − 0.18 | 0.84 | 0.74 − 0.96 | − 0.08 | 0.06 | − 0.18–0.03 |
Small town | − 0.12 | 0.88 | 0.77–1.01 | − 0.002 | 0.06 | − 0.11–0.12 |
Rural | − 0.22 | 0.80 | 0.69–0.93 | − 0.08 | 0.06 | − 0.20–0.05 |
Chronic physical illnesses | ||||||
Diabetes | 1.01 | 2.73 | 2.48–3.01 | 0.20 | 0.04 | 0.12–0.28 |
Hypertension | − 0.11 | 0.90 | 0.82–0.99 | − 0.01 | 0.04 | − 0.09–0.07 |
Heart failure | 1.10 | 3.01 | 2.70–3.35 | 0.12 | 0.04 | 0.04–0.20 |
COPD/asthma | 0.78 | 2.18 | 1.99–2.40 | 0.04 | 0.04 | − 0.04–0.12 |
Overall comorbidity | 0.26 | 1.30 | 1.27–1.32 | 0.14 | 0.01 | 0.12–0.15 |
Serious mental illnesses | − 0.34 | 0.71 | 0.65–0.79 | 0.002 | 0.04 | − 0.08–0.08 |
Non-psychotic mental illnesses | 0.15 | 1.16 | 1.05–1.28 | 0.17 | 0.04 | 0.09–0.25 |
Developmental/intellectual mental disorders | − 0.75 | 0.47 | 0.32–0.70 | − 0.46 | 0.17 | − 0.80–−0.12 |
Nicotine use disorders | 0.45 | 1.56 | 1.43–1.71 | 0.09 | 0.04 | 0.12–0.28 |
Part 1 (zero-inflated part) modeled the likelihood of hospitalization for chronic ACSCs in terms of odds ratios.
Part 2 modeled the length of hospital stay for chronic ACSCs.