scholarly journals The Relationship Between Gestational Weight Gain, Pre-pregnancy BMI, and Prenatal Diet Quality (P18-039-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Haley Parker ◽  
Karen McCurdy ◽  
Alison Tovar ◽  
Maya Vadiveloo
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Diet Quality ◽  
Linear Models ◽  
Maternal Diet ◽  
Normal Weight ◽  
Sensitivity Analyses ◽  
Gestational Weight ◽  
Funding Sources ◽  
The Relationship

Abstract Objectives Gestational weight gain (GWG) may reflect dynamic changes to prenatal diet quality, however, this relationship has been understudied. This study explored the relationship between GWG, pre-pregnancy BMI, and prenatal diet quality. Methods A secondary analysis examined a subset of 1268 women in the longitudinal Infant Feeding Practices Study (IFPS II) with 3rd trimester Diet History Questionnaire data. Diet quality was assessed with the Alternative Health Eating Index for Pregnancy (AHEI-P). Self-reported pre-pregnancy BMI, and total GWG (72% response rate) were used to classify GWG as inadequate (I), adequate (A), and excessive (E) according to the Institute of Medicine's recommendations. Tukey-adjusted generalized linear models, adjusting for sociodemographic factors, Women, Infants, and Children participation, parity, and energy intake, compared GWG groups on mean AHEI-P scores. The interaction between pre-pregnancy BMI and GWG group was tested and if significant, models were stratified by BMI group. Sensitivity analyses using multiply imputed GWG data were conducted. Results On average, AHEI-P scores were 61.3 (of 130), women were 28.9 years, higher socioeconomic status (40% college graduates) and mostly non-Hispanic White (84%). Pre-pregnancy BMI and GWG were inversely associated with AHEI-P scores (P < 0.0001). The association between GWG and diet quality was modified by BMI group (P = 0.04). In stratified adjusted analyses, GWG was associated with AHEI-P scores (P < 0.05) among women with pre-pregnancy underweight (I = 54.4 ± 3.9, A = 59.7 ± 3.6, E = 63.5 ± 3.5), normal weight (I = 59.2 ± 1.5, A = 61.0 ± 1.2, E = 59.3 ± 1.2), overweight (I = 62.3 ± 2.9, A = 60.7 ± 1.6, E = 59.4 ± 1.5), and obesity (I = 59.2 ± 1.8, A = 57.8 ± 2.0, E = 60.6 ± 1.5). However, no significant post-hoc differences between GWG groups were observed among any of the pre-pregnancy BMI groups. Findings from the multiple imputation analysis did not differ from complete case analysis findings. Conclusions GWG and prenatal diet quality differed according to pre-pregnancy BMI in this study. Adherence to GWG recommendations during pregnancy is an important predictor of maternal diet quality and should be examined in conjunction with pre-pregnancy BMI. Funding Sources There are no funding sources to disclose.

scholarly journals Gestational weight gain trajectories over pregnancy and their association with maternal diet quality: Results from the PRINCESA cohort

Nutrition ◽  
2019 ◽  
Vol 65 ◽  
pp. 158-166 ◽  
Author(s):  
Monica Ancira-Moreno ◽  
Felipe Vadillo-Ortega ◽  
Juan Ángel Rivera-Dommarco ◽  
Brisa N. Sánchez ◽  
Jeremy Pasteris ◽  
...  
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Diet Quality ◽  
Maternal Diet ◽  
Gestational Weight

445: The relationship between gestational weight gain and gestational diabetes mellitus

2015 ◽  
Vol 212 (1) ◽  
pp. S229
Author(s):  
Amy O'Higgins ◽  
Lisa O'Higgins ◽  
Anne Fennessy ◽  
Thomas McCartan ◽  
Laura Mullaney ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Weight Gain ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Gestational Weight Gain ◽  
Gestational Weight ◽  
The Relationship

scholarly journals The influence of pre-pregnancy body mass index and gestational weight gain on pregnancy outcomes in two-child women

2019 ◽  
Author(s):  
Hanqing Chen ◽  
Suhua Zou ◽  
Zhuyu Li ◽  
Jianbo Yang ◽  
Jian Cai ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Perinatal Outcomes ◽  
Normal Weight ◽  
Excessive Weight Gain ◽  
Gestational Weight ◽  
Excessive Weight ◽  
Weight Gain During Pregnancy

Abstract Background Pre-pregnancy body mass index and gestational weight gain were related to perinatal outcomes. It was not know the changes of pre-pregnancy body mass index, weight gain during pregnancy and its effect on perinatal outcomes in two-child women.Methods This was a retrospective study. Data of single term women delivered in the First Affiliated Hospital of Sun Yat-sen University were collected from July 2017 to June 2018. Gestational weight gain criteria of the American Institute of Medical Research and pre-pregnancy body mass index classes were used to evaluate the effects on pregnancy outcomes.Results A total of 3049 cases were enrolled in the study. Overweight cases was 9.0% and obesity was 2.4%. The weight gain of the two-child women was less than that of primipara(12.4±3.9vs13.3±4.0kg, P<0.001). The proportion of primipara with excessive weight gain was higher compared to two-child women(20.1%versus17.3%, P<0.001). There were 40.0% overweight primipara and 55.2% of two-child women had excessive weight gain. And 40.5% primipara and 54.5% two-child women of obesity had excessive weight gain during pregnancy. Obese primipara increased the risk of pre-eclampsia (aOR2.38, 95%CI 0.76-7.46). And the odds of diabetes mellitus and large for gestational age also increased in this group (aOR3.49, 95%CI 1.46-8.35 and aOR7.65, 95%CI 1.83-31.97, respectively). Two-child women had similar results. Underweight primipara with excessive weight gain increased the pre-eclampsia risk (aOR2.26, 95%CI 0.29-17.46). Normal weight and overweight/obese primipara also had similar results. But in two-child women, only overweight/obesity increased the risk of pre-eclampsia (aOR2.01, 95%CI 0.41-9.98). Underweight two-child women with less weight gain increased the risk of diabetes(aOR2.06, 95%CI 0.43-9.8). Two-child women with overweight/obese increased the odds of LGA even if they had less weight gain(aOR2.58, 95%CI 0.11-63.22). Normal weight primipara and two-child women with overweight and obese with excessive weight gain had similar results. On the other way, underweight primipara with less weight gain increased the risk of SGA(aOR1.74, 95%CI 0.81-3.76).Conclusions Gestational weight gain of two-child women was less than primipara. Overweight/obese women with excessive weight gain of two-child women increased the risk of adverse outcomes.

scholarly journals Higher gestational weight gain and lower serum estradiol levels on the day of human chorionic gonadotropin administration are associated with increased risk of preeclampsia after in vitro fertilization

2020 ◽  
Author(s):  
Yu-Chen Chen ◽  
Yun-Ju Lai ◽  
Yu-Ting Su ◽  
Ni-Chin Tsai ◽  
Kuo-Chung Lan
Keyword(s):  
Weight Gain ◽  
In Vitro Fertilization ◽  
Gestational Weight Gain ◽  
Chorionic Gonadotropin ◽  
Serum Estradiol ◽  
Vitro Fertilization ◽  
Gestational Weight ◽  
Relationship Of ◽  
The Relationship

Abstract Background Very few previous studies have examined the effect of endocrine parameters during ART on preeclampsia. Moreover, there is little known about the relationship of steroid hormone levels on development of the placenta. The purpose of this study is to assess the association of preeclampsia with serum estradiol (E2) and progesterone (P4) levels on the day of human chorionic gonadotropin (hCG) administration during controlled ovarian hyperstimulation (COH) for in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI). Methods This was a hospital-based cohort study using clinical data from the Kaohsiung Chang Gung Memorial Hospital Obstetric and Neonatal Database (KCGMHOND) from Jan 1, 2001 to December 1, 2018. Eligible women underwent at least one autologous IVF/ICSI cycle and had a live-born infant with a gestational age (GA) of more than 20 weeks. Results A total of 622 women who had live births after fresh IVF/ICSI-ET during the study period met our inclusion criteria. Twenty-eight women (4.5%) met the diagnostic criteria for preeclampsia. However, women in the preeclampsia group had a significantly higher body mass index (22 vs. 24, p =0.05), body weight at delivery (70.0 vs. 80.5 kg, p <0.001) and gestational weight gain (13.0 vs. 19.6 kg, p =0.002) and had lower use of ICSI (29.9% vs. 10.7%, p =0.021). Logistic regression analysis of the relationship of patient and treatment characteristics with preeclampsia. The crude ORs indicated that young female age >34, not using ICSI, E2 peak <1200 pg/mL and gestational weight gain >20 kg were associated with preeclampsia. After adjustment for confounding, the only factors that remained significant were E2 peak <1200 pg/mL (aOR = 4.634, 95% CI = 1.061 to 20.222), and gestational weight gain >20 kg (aOR: 13.601, 95% CI: 3.784, 48.880). Conclusions For women receiving IVF/ICSI, lower estradiol hormone levels on the day of hCG administration and higher pregnancy weight gain are related with subsequent preeclampsia.

Examining the Effection of Second-and Third-trimester Rate of Gestational Weight Gain on Perinatal Outcomes Among Chinese Twin Gestations Based on the Provisional Guidelines: A Retrospective Cohort Study

2020 ◽  
Author(s):  
Li-hua Lin ◽  
Yi-lin Weng ◽  
Ying-ying Lin ◽  
Xiu-xian Huang ◽  
Yang Lin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Normal Weight ◽  
Premature Delivery ◽  
Third Trimester ◽  
Gestational Weight ◽  
Gain Rate ◽  
Twin Pregnancies ◽  
Weight Gain Rate

Abstract Background: This paper investigated how second and third trimester gestational weight gain relates toperinatal outcomes among normal weight women with twin pregnancies in Fujian, China. Methods: A retrospective study on the medical records of 931 normal weight twin pregant women was conducted in Fujian Maternity and Child Health Hospital from 2014 to 2018.The 2nd and 3rd trimester weekly weight gain rate were calculated and categorized women as gaining below, within, or above the 2009 Institute of Medicine (IOM) recommended rates . The association between trimester-specific weight gain rate and perinatal outcome was performed by traditional regression analysis among groups.Results:A total of 931 pregnant women and 1862 neonates were included for analysis. 25.9% ,19.8% and 54.3%% of women had less than, greater than and within the recommended rates of gain in the 2nd and 3rd trimester, respectively. Multivariate Logistic regression analysis showed that greater than recommended rates of weight gain in 2nd trimester decreased the risks of preeclampsia (adjusted OR:0.458,95% CI:0.255~0.824). Less than recommended rates of weight gain in 3rd trimester increased the risk of premature delivery（adjusted OR=1.926,95%CI:1.403~2.644）, gestational diabetes mellitus (adjusted OR = 2.052,95%CI:1.417~2.972), intrahepatic cholestasis syndrome (adjusted OR = 3.016,95%CI:1.057~8.606), premature rupture of the membrane (adjusted OR = 1.722,95%CI:1.180~2.512) and neonatal respiratory distress syndrome (adjusted OR = 5.135,95%CI:1.701~15.498) and decreased the risk of cesarean section (adjusted OR = 0.587,95%CI:0.385~0.893) .In addition, greater than recommended rates of weight gain in 3rd trimester was associated with increased risks in premature delivery (adjusted OR=1.818,95%CI:1.307~2.527), and gestational hypertension (adjusted OR=2.098,95%CI:1.018~4.324) as well as preeclampsia(adjusted OR:2.029, 95%CI:1.331~3.093). The stratified analysis of weight gain in 3rd trimester showed that there was no significant difference in the incidence of adverse pregnancy outcomes compared to weight gain rate groups in 2nd trimester.Conclusions: While this study showed gestational weight gain rate less than or greater than in 3rd trimester were associated with some adverse maternal and neonatal outcomes, further studies of prospective and multi-center researches are required to explore alternate ranges of gestational weight gain rate in twin pregnancies.

scholarly journals Association between maternal gestational weight gain and preterm birth according to body mass index and maternal age in Quzhou, China

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ying Hu ◽  
Qi Wu ◽  
Luyang Han ◽  
Yuqing Zou ◽  
Die Hong ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Preterm Birth ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Maternal Age ◽  
Preterm Births ◽  
Normal Weight ◽  
Live Births ◽  
Gestational Weight

Abstract The aim of this study is to investigate the association between maternal gestational weight gain (GWG) and preterm birth according to pre-pregnancy body mass index (BMI) and maternal age. We did a cohort, hospital-based study in Quzhou, South China, from 1 Jan 2018 to 30 June 2019. We selected 4274 singleton live births in our analysis, 315 (7.4%) of which were preterm births. In the overall population, excess GWG was significantly associated with a decreased risk of preterm birth compared with adequate GWG (adjusted OR 0.81 [95% CI 0.72–0.91]), and the risk varied by increasing maternal age and pre-pregnancy BMI. Interestingly, underweight women who older than 35 years with excess GWG had significantly increased odds of preterm birth compared with adequate GWG in underweight women aged 20–29 years (2.26 [1.06–4.85]) and normal weight women older than 35 years (2.23 [1.13–4.39]). Additionally, low GWG was positively and significantly associated with preterm birth overall (1.92 [1.47–2.50]). Among normal weight women category, compared with adequate GWG women aged 20–29 years did, those older than 20 years with low GWG, had significantly higher odds of preterm birth, which increased with maternal age (1.80 [1.16–2.79] in 20–29 years, 2.19 [1.23–3.91] in 30–34 years, 3.30 [1.68–6.46] in ≫ 35 years). In conclusion, maternal GWG was significantly associated with the risk of preterm birth, but the risk varied by pre-pregnancy BMI and maternal age.

Gestational Weight Gain, Diet Quality and Dairy Consumption: NHANES 2003-2012

2020 ◽  
Vol 52 ◽  
pp. 106-107
Author(s):  
B.J.K. Davis ◽  
C. Scrafford ◽  
X. Bi ◽  
K.A. Higgins ◽  
L. Barraj ◽  
...  
Keyword(s):  
Weight Gain ◽  
Gestational Weight Gain ◽  
Diet Quality ◽  
Gestational Weight ◽  
Dairy Consumption

Total gestational weight gain and the risk of preeclampsia by pre-pregnancy body mass index categories: a population-based cohort study from 2013 to 2017

2019 ◽  
Vol 47 (6) ◽  
pp. 585-591 ◽  
Author(s):  
Tanja Premru-Srsen ◽  
Zorana Kocic ◽  
Vesna Fabjan Vodusek ◽  
Ksenija Geršak ◽  
Ivan Verdenik
Keyword(s):  
Body Mass Index ◽  
Weight Gain ◽  
Gestational Weight Gain ◽  
Body Mass ◽  
Odds Ratio ◽  
Protective Factor ◽  
Population Based ◽  
Normal Weight ◽  
Obese Women ◽  
Gestational Weight

Abstract Background Identifying the risk factors for preeclampsia (PE) is essential for the implementation of preventive actions. In the present study, we aimed at exploring the association between total gestational weight gain (GWG) and PE. Methods We performed a population-based cohort survey of 98,820 women with singleton pregnancies who delivered in Slovenia from 2013 to 2017. Aggregated data were obtained from the National Perinatal Information System (NPIS). The main outcome measure was the incidence of PE. The main exposure variable was total GWG standardized for the gestational duration by calculating the z-scores. The associations between total GWG and PE stratified by pre-pregnancy body mass index (BMI) categories adjusted for a variety of covariates were determined using multivariable logistic regression. We calculated the crude odds ratio (OR) and adjusted odds ratio (aOR) with a 95% confidence interval using a two-way test. Results Excessive GWG was associated with increased odds of PE in all pre-pregnancy BMI categories. The increase in the odds of PE by 445% was the highest in underweight women and by 122% was the lowest in obese women. Low GWG was associated with decreased odds of PE in all pre-pregnancy BMI categories except in normal-weight women with a GWG below −2 standard deviation (SD) and underweight women. The decrease in the odds of PE by 67% was the highest in obese women and by 41% was the lowest in normal-weight women. Conclusion Excessive GWG is a significant risk factor for PE, especially in underweight women, while low GWG is an important protective factor against PE, especially in obese women.

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