Aims/Background Gestational diabetes mellitus is a common pregnancy complication that affects approximately 14% of pregnancies worldwide and can lead to adverse maternal and neonatal outcomes. This study aimed to investigate the trajectories of gestational weight gain among gestational diabetes mellitus patients and to inform the development of effective weight management strategies. Methods Demographic and antenatal examination data from 1421 pregnant women diagnosed with gestational diabetes mellitus were retrospectively analysed. Quantitative data comparisons were performed using Chi-square tests, Fisher's exact test, t -tests, and one-way analysis of variance. Group-based trajectory modelling was employed to identify the trajectories of gestational weight gain among patients with gestational diabetes mellitus. Results This study revealed that pre-pregnancy body mass index and types of gestational diabetes mellitus significantly influence gestational weight gain ( p < 0.05). Group-based trajectory modelling identified three distinct gestational weight gain trajectories. Patients with gestational diabetes mellitus demonstrated a continuous weight gain throughout pregnancy, while women who were overweight or obese before pregnancy were more likely to follow a low-speed growth trajectory. Women in the rapid growth trajectory group were more inclined to deliver by caesarean section and were more likely to give birth to macrosomic infants. Conclusion Our research underscores the importance of identifying and distinguishing between different gestational weight gain trajectories in pregnant women, thereby identifying high-risk groups, which is crucial for improving the health conditions of both mothers and newborns.
Keyphrases
- weight gain
- pregnancy outcomes
- pregnant women
- birth weight
- body mass index
- weight loss
- depressive symptoms
- healthcare
- end stage renal disease
- type diabetes
- metabolic syndrome
- chronic kidney disease
- public health
- mental health
- ejection fraction
- big data
- emergency department
- prognostic factors
- preterm birth
- physical activity
- insulin resistance
- peritoneal dialysis
- preterm infants
- newly diagnosed
- machine learning
- skeletal muscle
- bariatric surgery
- single cell
- deep learning
- low birth weight
- body weight
- adverse drug
- patient reported