PMID- 28575041
OWN - NLM
STAT- MEDLINE
DCOM- 20170926
LR  - 20181113
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 12
IP  - 6
DP  - 2017
TI  - The mutual effect of pre-pregnancy body mass index, waist circumference and
      gestational weight gain on obesity-related adverse pregnancy outcomes: A birth
      cohort study.
PG  - e0177418
LID - 10.1371/journal.pone.0177418 [doi]
AB  - OBJECTIVE: The aim of this study was to examine the mutual effect of
      pre-pregnancy body mass index (BMI), waist circumference (WC) and gestational
      weight gain (GWG) on obesity-related adverse pregnancy outcomes. METHODS: This
      birth cohort study was conducted in three Streets in Changsha, China, including a
      total of 976 mother-child pairs. All data was collected within 15 days after
      deliveries from a self-administered questionnaire, maternal health manual and
      perinatal health care information system. Multivariate logistic regression models
      were conducted to estimate the effects of maternal pre-pregnancy BMI, WC and GWG 
      on obesity-related adverse pregnancy outcomes including gestational diabetes
      mellitus (GDM), primary cesarean section (P-CS), large for gestational age (LGA) 
      and composite outcome (one or more adverse pregnancy outcomes). RESULTS: After
      controlling for all confounders, both maternal pre-pregnancy overweight/obesity
      and central adiposity contributed to increased risks of GDM [ORs 95% CIs = 2.19
      (1.02-4.76) and 2.26 (1.11-4.60), respectively], P-CS [ORs 95% CIs = 1.66
      (1.05-2.65) and 1.71 (1.11-2.63), respectively], LGA [ORs 95% CIs = 1.93
      (1.07-3.50) and 2.14 (1.21-3.75), respectively] and composite outcome [ORs 95%
      CIs = 1.82 (1.15-2.87) and 1.98 (1.30-3.01), respectively] compared with mothers 
      with normal pre-pregnancy weight and normal WC. Excessive GWG was found to be
      associated with an increased risk of LGA [OR 95% CI = 1.74 (1.05-2.89)], but was 
      not significantly related to higher risks of GDM, P-CS and composite outcome [ORs
      95% CIs = 0.90 (0.47-1.72), 1.08 (0.77-1.52), and 1.30 (0.94-1.79),
      respectively]. In terms of the joint effect of maternal pregestational BMI and WC
      on obesity-related composite outcome, mothers with both pre-pregnancy overweight 
      and central adiposity had the highest risk of composite outcome [OR 95% CI = 3.96
      (2.40-6.54)], compared with mothers without pre-pregnancy overweight or central
      adiposity. CONCLUSIONS: The results of this study suggest that maternal
      pre-pregnancy overweight/obesity and central adiposity may contribute to multiple
      obesity-related adverse pregnancy outcomes, excessive weight gain during
      pregnancy is associated with an increased risk of LGA. Healthcare providers
      should carry out health education, and guide women to keep an ideal BMI and WC
      prior to pregnancy and help them gain optimal weight during pregnancy based on
      their pre-pregnancy BMI and WC.
FAU - Gao, Xiao
AU  - Gao X
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Yan, Yan
AU  - Yan Y
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Xiang, Shiting
AU  - Xiang S
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Zeng, Guangyu
AU  - Zeng G
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Liu, Shiping
AU  - Liu S
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Sha, Tingting
AU  - Sha T
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - He, Qiong
AU  - He Q
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Li, Hongyan
AU  - Li H
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Tan, Shan
AU  - Tan S
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Chen, Cheng
AU  - Chen C
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Li, Ling
AU  - Li L
AD  - Department of Epidemiology and Health Statistics, Xiangya School of Public
      Health, Central South University, Changsha, Hunan Province, China.
FAU - Yan, Qiang
AU  - Yan Q
AD  - Department of Maternal and Child Health, Kaifu District Health Bureau, Changsha, 
      China.
LA  - eng
PT  - Journal Article
DEP - 20170602
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - *Body Mass Index
MH  - China
MH  - Cohort Studies
MH  - Female
MH  - Humans
MH  - Male
MH  - Pregnancy
MH  - *Pregnancy Outcome
MH  - *Waist Circumference
MH  - *Weight Gain
PMC - PMC5456032
EDAT- 2017/06/03 06:00
MHDA- 2017/09/28 06:00
CRDT- 2017/06/03 06:00
PHST- 2017/02/13 00:00 [received]
PHST- 2017/04/26 00:00 [accepted]
PHST- 2017/06/03 06:00 [entrez]
PHST- 2017/06/03 06:00 [pubmed]
PHST- 2017/09/28 06:00 [medline]
AID - 10.1371/journal.pone.0177418 [doi]
AID - PONE-D-17-05721 [pii]
PST - epublish
SO  - PLoS One. 2017 Jun 2;12(6):e0177418. doi: 10.1371/journal.pone.0177418.
      eCollection 2017.