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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
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