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Table 1 Pre-specification of predictors for risk prediction model

From: Diabetes after pregnancy: a study protocol for the derivation and validation of a risk prediction model for 5-year risk of diabetes following pregnancy

Variable type

Variable

Specification

df

Demographics

Age at index

Continuous variable

1

Income quintile

Five categories

4

Rurality

Binary: yes/no

1

Immigrant status

Three categories (non-immigrant, previous (over 10 years ago), recent (10 years or less)

2

Ethnicity

Three categories (South Asian, Chinese, Other)

2

Lifestyle

Pre-pregnancy BMI, kg/m2 (self-reported)

Continuous

1-3

Lifetime Health history

Previous mental health condition

Binary: yes/no

1

Previous cardiovascular disease

Binary: yes/no

 

Prior pregnancy history

Parity

Five categories (0, 1, 2, 3, > 3)

4

Gravidity

Four categories (1, 2, 3, > 3)

3

Previous GDM

Three categories: yes/no/NA

2

Previous gestational hypertension or preeclampsia

Three categories: yes/no/NA

2

Index pregnancy

50 g oral glucose challenge test, mmol/L

Continuous

1-3

GDM

Binary: yes/no

1

Preeclampsia

Binary: yes/no

1

Gestational hypertension

Binary: yes/no

1

Caesarean-section

Three categories: planned/emergency/no

1

Premature delivery

Binary: yes/no

1

Newborn

Birthweight

Continuous (for women with a multi-fetal birth, the child with the higher birthweight will be used)

1

Large for gestational age (LGA) birthweight > 90th

Binary: yes/no (for women with a multi-fetal birth, any child with a record for LGA will be used)

1