GDm-Health is a patient-to-clinician system for the management of diabetes in pregnancy.

Logistic regression was used to quantify the association between diabetes in pregnancy and antenatal depression.

Background: Rates of diabetes in pregnancy are disproportionately higher among Aboriginal than non-Aboriginal women in Australia.

Methods: A multi-institutional retrospective study compared pregnancy outcomes between gestational diabetes mellitus and overt diabetes in pregnancy.

Conclusions: Overt diabetes in pregnancy is significantly associated with maternal complications such as retinopathy and pregnancy-induced hypertension.

METHODS: This was a population-based cohort study using linked data from registers of congenital anomaly and diabetes in pregnancy.

Results: Data were collected on 1267 women with gestational diabetes and 348 with overt diabetes in pregnancy.

Regions with similar challenges in context and high risk populations for diabetes in pregnancy may benefit from this experience of implementing a register.

Additional data correlating these outcomes with the types of diabetes in pregnancy are also needed to distinguish the effects of pre-gestational vs. gestational diabetes.

Over half (57%) of survey respondents reported improvement in knowledge of the epidemiology of diabetes in pregnancy since establishment of the register.

Aims: To determine differences in pregnancy outcomes including diabetic complications, maternal and perinatal complications between gestational diabetes mellitus and overt diabetes in pregnancy in Japan.

Background: Diabetes in pregnancy has been associated with a paradoxically reduced risk of neonatal death in twin pregnancies.

Conclusions: Diabetes in pregnancy appears to be "protective" against perinatal death in twin pregnancies ending in very preterm or very low birth weight births.

Importance: Diabetes in pregnancy is associated with a 2-times to 3-times higher rate of very preterm birth than in women without diabetes.