|
Outcome
|
Coefficient
|
95% CI
|
|---|
|
Birth weight a (grams)
|
|
Non-Users
|
(ref)
| |
|
Users
|
−85.8
|
−154.6, −17.2
|
| |
Odds Ratio
|
95% CI
|
|
Low birth weight a
|
|
Non-Users
|
(ref)
| |
|
Users
|
0.93
|
0.29, 2.93
|
|
Preterm birth b
|
|
Non-Users
|
(ref)
| |
|
Users
|
1.26
|
0.62, 2.57
|
|
Small size for GA b
|
|
Non-Users
|
(ref)
| |
|
Users
|
2.03
|
1.25, 3.31
|
- N = 1773 for preterm birth model, N = 1770 for birth weight and small size for GA models
- Abbreviations: CI confidence interval, GA gestational age
- aContinuous (linear) and binary (logistic) birth weight regression models with robust cluster analysis adjusted for infant sex, GA (continuous), pre/early-pregnancy cannabis use, year of LSQ1 completion, maternal age, ethnicity, education, income, pre-pregnancy BMI, alcohol use, tobacco use, anxiety/depression symptoms, antidepressant use, and pain medication use.
- bPreterm birth and small for GA logistic regression models adjusted for infant sex, pre/early -pregnancy cannabis use, year of LSQ1 completion, maternal age, ethnicity, education, income, pre-pregnancy BMI, alcohol use, tobacco use, anxiety/depression symptoms, antidepressant use, and pain medication use
