Data analysis
®, diabetes
DIABETES
The baseline characteristics of all randomized women were compared descriptively, showing frequency and percentages in total and between the control and intervention groups. Categorizations of baseline characteristics included Age (≤ 25 Years, 26–35 Years, 36–50 Years), Ethnicity (Danish/western, non-western), Employment status in percentages (defined as number of weeks as self-supporting, including women on maternity leave and state education support 0–2 years before despatch of reminders) (≥ 80%, 20–80%, ≤ 20%) [We estimated the effect of the intervention by reporting risk ratios (RR), risk differences (RD) and 95% confidence intervals (CI) for primary outcomes. To calculate the number of women diagnosed with diabetes and a A forest plot graphically displayed the estimated results according to stratified groups representing years after birth. To estimate the effect of the intervention for different subgroups, we also stratified for age, ethnicity, employment status, municipality, parity, and BMI. All statistical analyses were performed using Stata 16.1 software for Windows® (StataCorp., College Station, TX, USA).