HYBRID EVENT: You can participate in person at Boston, Massachusetts, USA or Virtually from your home or work.

7th Edition of Nursing World Conference

October 16-18, 2023 | Boston, Massachusetts, USA

October 16 -18, 2023 | Boston, Massachusetts, USA
NWC 2023

Yu Chen Su

Speaker at  Nursing World Conference 2023 - Yu Chen Su
National Taipei University of Health Sciences, Taiwan
Title : The relationship of depression risk and gestational diabetes mellitus


Gestational diabetes mellitus (GDM) refers to the occurrence of any degree of impaired glucose tolerance in pregnant women during pregnancy. GDM has short-term and long-term adverse effects on both the pregnant woman and the newborn, and it reduces the quality of life. GDM may increase the risk of developing preeclampsia, hypertension, and type 2 diabetes in pregnant women, and they are more prone to undergo cesarean section and experience preterm birth. Furthermore, GDM is also associated with fetal macrosomia, shoulder dystocia, neonatal hypoglycemia, death, and an increased risk of future development of type 2 diabetes Pregnancy is a crucial period in a woman's life as it involves commitment, establishing attachment, and self-preparation, requiring continuous learning and adjustment to enter a new stage and embrace the new maternal role . According to a survey conducted on 6,421 pregnant women by Canadian scholars, it was found that 12% of women experienced high levels of stress, which may lead to maladaptive coping and excessive stress, and even trigger depressive emotions in women. Particularly, women with high-risk pregnancies may endure greater stress and are more likely to experience depressive emotions. Research suggests that women with gestational diabetes mellitus (GDM) have a higher prevalence of depression. A study examining stress, depression, anxiety, and physical activity levels in 632 Hispanic women with GDM found that these women experienced more severe stress and tendencies towards depression compared to pregnant women without GDM. In a survey conducted  involving 95 women with GDM, it was found that 33.4% of the women exhibited symptoms of depression. Another study conducted compared 180 women with GDM to 186 women with normal blood glucose levels and found that women with GDM had higher levels of depression compared to women with normal blood glucose levels.

Audience Take Away Notes:

  • Let the participants know that gestational diabetes mellitus (GDM) poses risks to pregnant women during pregnancy. Some of these risks include pregnancy complications, fetal macrosomia (large baby), the impact of high blood sugar on the mother, fetal hypoglycemia (low blood sugar), fetal abnormalities, signs of fetal distress, and other pregnancy-related complications.
  • Gestational Diabetes Mellitus (GDM) is a relatively complex and multifaceted issue. Providing relevant expanded research or teaching can deepen understanding and improve clinical practices. Potential avenues include epidemiological studies, molecular mechanisms, early screening, lifestyle interventions, pregnancy monitoring, impact on outcomes, long-term follow-up, GDM education, and interdisciplinary collaboration.
  • Integrated analysis benefits Gestational Diabetes Mellitus (GDM) in various aspects: integrating multiple data sources, identifying risk factors, improving predictive accuracy, optimizing treatment plans, and understanding the impact of GDM on mothers and infants.
  • Integrative analysis refers to the method of combining and synthesizing data from different sources, levels, or methods. This approach offers numerous advantages, providing a more comprehensive and in-depth understanding and interpretation of results. The benefits of integrative analysis include increased data information, enhanced result reliability, facilitating new discoveries, improved research efficiency, and providing multi-level analysis.
  • Integrative analysis offers multiple benefits in Gestational Diabetes Mellitus (GDM), aiding healthcare teams in gaining a comprehensive understanding of the disease, improving predictive accuracy for diagnosis, and enhancing patient treatment outcomes and quality of life. Moreover, this approach fosters advancements in related research, providing more evidence and guidance for future clinical practices.


Yu-Chen Su is currently a Ph.D. candidate in the Nursing Department at National Taipei University of Health Sciences in Taiwan. She possesses over twenty-five years of nursing clinical practice experience.
In 2022, she published a paper titled "The Relationship between Sarcopenia and Injury Events: A Systematic Review and Meta-Analysis of 98,754 Older Adults" in the Journal of Clinical Medicine (J. Clin. Med.) (SCI).
In 2023, she attended the 29th International Council of Nurses (ICN) conference in Montreal, Canada, and successfully presented two papers, exploring "The Relationship Between Sarcopenia and Fracture Risk in Older Adults" and "The Relationship Between Diabetes and Depression Risk in Adults.