TY - JOUR
T1 - Gestational weight gain and the risk of gestational diabetes mellitus
T2 - A latent class trajectory analysis using birth cohort data
AU - Peng, Yuanzhou
AU - Han, Na
AU - Su, Tao
AU - Zhou, Shuang
AU - Bao, Heling
AU - Ji, Yuelong
AU - Luo, Shusheng
AU - Liu, Jue
AU - Wang, Hai Jun
N1 - Funding Information:
This research was supported by National Natural Science Foundation of China [grant number 81973053 , 81703240 ].
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/12
Y1 - 2021/12
N2 - Aims: To explore trajectories of gestational weight gain (GWG) before diagnosis and its association with risk of gestational diabetes mellitus (GDM). Methods: A population-based retrospective cohort study including 37,060 women with live singleton was conducted between 2013 and 2019 in China. Latent class trajectory model (LCTM) was used to identify GWG trajectories, and Poisson regression with robust error estimates was used to estimate risk ratio (RR) of GDM. Results: Among total 37,060 participants, 25.47% of women were developed with GDM. Two trajectories of GWG were identified as non-excessive weight gain (94.31%) and excessive weight gain (5.69%) before diagnosis of GDM. Women with excessive GWG trajectory before diagnosis had significantly 32.8% (aRR = 1.328, 95 %CI: 1.252 ∼ 1.409, P < 0.001) increased risk of developing GDM compared with non-excessive GWG trajectory. Women with excessive GWG trajectory also had higher risk of macrosomia (aRR = 1.476, 95 %CI: 1.307 ∼ 1.666, P < 0.001) and cesarean delivery (aRR = 1.126, 95 %CI: 1.081 ∼ 1.174, P < 0.001). The impact of excessive GWG trajectory on GDM was greater among pre-pregnancy normal weight women compared with overweight/obese or underweight women. Conclusion: Women with excessive GWG trajectory before diagnosis had significantly higher risk of GDM and GDM-related adverse outcomes, and pre-pregnancy normal weight women with excessive GWG trajectory should also be concerned.
AB - Aims: To explore trajectories of gestational weight gain (GWG) before diagnosis and its association with risk of gestational diabetes mellitus (GDM). Methods: A population-based retrospective cohort study including 37,060 women with live singleton was conducted between 2013 and 2019 in China. Latent class trajectory model (LCTM) was used to identify GWG trajectories, and Poisson regression with robust error estimates was used to estimate risk ratio (RR) of GDM. Results: Among total 37,060 participants, 25.47% of women were developed with GDM. Two trajectories of GWG were identified as non-excessive weight gain (94.31%) and excessive weight gain (5.69%) before diagnosis of GDM. Women with excessive GWG trajectory before diagnosis had significantly 32.8% (aRR = 1.328, 95 %CI: 1.252 ∼ 1.409, P < 0.001) increased risk of developing GDM compared with non-excessive GWG trajectory. Women with excessive GWG trajectory also had higher risk of macrosomia (aRR = 1.476, 95 %CI: 1.307 ∼ 1.666, P < 0.001) and cesarean delivery (aRR = 1.126, 95 %CI: 1.081 ∼ 1.174, P < 0.001). The impact of excessive GWG trajectory on GDM was greater among pre-pregnancy normal weight women compared with overweight/obese or underweight women. Conclusion: Women with excessive GWG trajectory before diagnosis had significantly higher risk of GDM and GDM-related adverse outcomes, and pre-pregnancy normal weight women with excessive GWG trajectory should also be concerned.
KW - Gestational diabetes mellitus
KW - Gestational weight gain
KW - Latent class trajectory model
KW - Trajectory
UR - http://www.scopus.com/inward/record.url?scp=85119354198&partnerID=8YFLogxK
U2 - 10.1016/j.diabres.2021.109130
DO - 10.1016/j.diabres.2021.109130
M3 - Article
C2 - 34774643
AN - SCOPUS:85119354198
SN - 0168-8227
VL - 182
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
M1 - 109130
ER -