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Table 3 Predictive Margins of Preterm Birth and Low Birthweight from Linear Probability Models Examining Moderating Effects of Race/Ethnicity or Education Level on Relationship between Restrictiveness Index and Adverse Birth Outcomes

From: Racial/ethnic and educational inequities in restrictive abortion policy variation and adverse birth outcomes in the United States

 

Preterm Birth

Low Birthweight

−1 SD

0 SD

+ 1 SD

+ 2 SD

−1 SD

0 SD

+ 1 SD

+ 2 SD

Race/ethnicity (categorical) x Restrictiveness Index (RI)

 AIAN

11.6

11.2

10.9

10.6

6.3

6.0

5.8

5.6

 AAPI

11.9

11.7

11.4

11.2

9.5

9.2

9.0

8.8

 Black

14.5

14.7

14.8

15.0

11.4

11.4

11.4

11.5

 Hispanic or Latinx

11.7

11.4

11.2

11.0

7.2

6.8

6.4

6.0

 White

11.2

11.1

11.1

11.0

7.5

7.3

7.1

6.9

Race/ethnicity (dichotomous) x Restrictiveness Index (RI)

 Black

14.5

14.7

14.9

15.1

11.5

11.5

11.5

11.5

 Non-Black

11.4

11.3

11.1

11.0

7.6

7.3

7.0

6.8

Education Level x Restrictiveness Index (RI)

 LT HS grad

12.6

12.5

12.5

12.4

8.7

8.7

8.7

8.7

 HS grad

12.3

12.3

12.3

12.3

8.5

8.5

8.4

8.3

 Some college

12.0

11.9

11.9

11.8

8.2

7.9

7.6

7.3

 College grad

10.9

10.7

10.4

10.2

7.4

6.9

6.5

6.1

  1. Note: Results are predictive margins of preterm birth and low birthweight for all racial/ethnic and education level subgroups at −1 standard deviation (SD), 0 SD, + 1 SD, and + 2 SD of the lagged restrictiveness index. Predictive margin estimates were produced from multivariate linear probability models estimating moderating effects of race/ethnicity or education level on the relationship between the standardized lagged restrictiveness index and the probability of preterm birth and low birthweight among all 50 states and Washington, D.C. Final sample size included people not missing any data on race/ethnicity, education level, restrictiveness index, outcomes, and covariates. All models adjust for individual-level sociodemographic characteristics, state-level sociodemographic, economic, and political characteristics, and state and year fixed effects. Standard errors clustered at the state level