Yonglin Huang1, Wei Zhang2, Karen Go1, Kenji J Tsuchiya3, Jianzhong Hu4,5, Daniel W Skupski6, Sheow Yun Sie7, Yoko Nomura8,9. 1. Department of Psychology, Graduate Center, City University of New York, New York, USA. 2. Department of Psychology, New Jersey City University, Jersey City, NJ, USA. 3. Research Center for Child Mental Development and United Graduate School of Child Development, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan. 4. Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine At Mount Sinai, New York, NY, USA. 5. Department of Genetics and Genomic Sciences, Icahn School of Medicine At Mount Sinai, New York, NY, USA. 6. Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Weill Cornell Medicine, New York Presbyterian Queens, Flushing, NY, USA. 7. Department of Psychology, Queens College, City University of New York, 65-30 Kissena Blvd, Flushing, NY, 11367, USA. 8. Department of Psychology, Queens College, City University of New York, 65-30 Kissena Blvd, Flushing, NY, 11367, USA. yoko.nomura@qc.cuny.edu. 9. Department of Psychology, Graduate Center, City University of New York, New York, USA. yoko.nomura@qc.cuny.edu.
Abstract
PURPOSE: Gestational diabetes mellitus (GDM) and preeclampsia are leading causes of mortality and morbidity in mothers and children. High childhood body mass index (BMI) is among their myriad of negative outcomes. However, little is known about the trajectory of the child BMI exposed to GDM and co-occurring preeclampsia from early to mid-childhood. This study examined the independent and joint impact of GDM and preeclampsia on childhood BMI trajectory. METHODS: A population-based sample of 356 mothers were recruited from OB/GYN clinics in New York. Their children were then followed annually from 18 to 72 months. Maternal GDM and preeclampsia status were obtained from medical records. Child BMI was calculated based on their height and weight at annual visits. RESULTS: Hierarchical Linear Modeling was used to evaluate the trajectories of child BMI exposed to GDM and preeclampsia. BMI trajectory by GDM decreased (t ratio = - 2.24, [Formula: see text]0.45, 95% CI - 0.05-0.95, p = 0.07), but the trajectory by preeclampsia increased over time (t ratio = 3.153,[Formula: see text]0.65, 95% CI 0.11-1.18, p = 0.002). Moreover, there was a significant interaction between the two (t ratio = -2.24, [Formula: see text]- 1.244, 95% CI 0.15-2.33, p = 0.02), such that the BMI of children born to mothers with both GDM and preeclampsia showed consistent increases over time. CONCLUSIONS: GDM and preeclampsia could be used as a marker for childhood obesity risk and the identification of a high-risk group, providing potential early intervention. These findings highlight the importance of managing obstetric complications, as an effective method of child obesity prevention.
PURPOSE:Gestational diabetes mellitus (GDM) and preeclampsia are leading causes of mortality and morbidity in mothers and children. High childhood body mass index (BMI) is among their myriad of negative outcomes. However, little is known about the trajectory of the child BMI exposed to GDM and co-occurring preeclampsia from early to mid-childhood. This study examined the independent and joint impact of GDM and preeclampsia on childhood BMI trajectory. METHODS: A population-based sample of 356 mothers were recruited from OB/GYN clinics in New York. Their children were then followed annually from 18 to 72 months. Maternal GDM and preeclampsia status were obtained from medical records. Child BMI was calculated based on their height and weight at annual visits. RESULTS: Hierarchical Linear Modeling was used to evaluate the trajectories of child BMI exposed to GDM and preeclampsia. BMI trajectory by GDM decreased (t ratio = - 2.24, [Formula: see text]0.45, 95% CI - 0.05-0.95, p = 0.07), but the trajectory by preeclampsia increased over time (t ratio = 3.153,[Formula: see text]0.65, 95% CI 0.11-1.18, p = 0.002). Moreover, there was a significant interaction between the two (t ratio = -2.24, [Formula: see text]- 1.244, 95% CI 0.15-2.33, p = 0.02), such that the BMI of children born to mothers with both GDM and preeclampsia showed consistent increases over time. CONCLUSIONS: GDM and preeclampsia could be used as a marker for childhood obesity risk and the identification of a high-risk group, providing potential early intervention. These findings highlight the importance of managing obstetric complications, as an effective method of childobesity prevention.
Entities:
Keywords:
Body mass index; Childhood obesity; Gestational diabetes mellitus; Growth trajectory; Preeclampsia; Prenatal origin of childhood obesity
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