Pregestational body mass index, trimester-specific weight gain and total gestational weight gain: how do they influence perinatal outcomes?

Adverse perinatal outcomes related to pregestational obesity or excessive weight gain in pregnancy

OBJECTIVES

To evaluate outcomes related to pregestational obesity and excessive weight gain during pregnancy.

METHODS

This retrospective cohort was conducted from August to December 2020. Participants were divided into four groups: non-obese with non-excessive weight gain (n=765, 45.9 %), obese with non-excessive weight gain (n=190, 11.4 %), non-obese with excessive weight gain (n=532, 31.9 %), and obese with excessive weight gain (n=179, 10.7 %). The outcomes were evaluated for gestational diabetes (GDM), pregnancy-induced hypertension (PIH), newborn large for gestational age (LGA) and cesarean delivery. A p-value of <0.05 was considered significant.

RESULTS

The odds of GDM were significant in groups 2 (CR, 3.6; 95 %CI, 2.5-5.2) and 4 (CR,1.9; 95 %CI, 1.3-2.9). The odds of PIH in groups 3 (CR, 1.7; 95 %CI, 1-2.6) and 4 (CR,3.1; 95 %CI, 1.9-5.2) and those of LGA newborns in groups 2 (CR, 2.0; 95 %CI, 1.2-3.3), 3 (CR, 2.6; 95 %CI, 1.9-3.7), and 4 (CR, 3.2; 95 %CI, 2-5) were high.

CONCLUSIONS

The odds of GDM were higher in participants with pregestational obesity, while the odds of PIH were higher in participants with excessive weight gain. All groups analyzed, except the reference group, had greater chances of LGA newborns. the form of delivery was not affected.

Gestational weight gain and body mass index in Asian Indian women: Impact of timing and amount on fetomaternal outcomes

Background

The aim of the study was to describe pre-pregnancy body mass index (BMI), total gestational weight gain (TGWG), and trimester-specific gestational weight gain (TSGWG) among Asian Indians and examine their association with adverse fetomaternal outcomes (AFMO).

Methods

Using a prospective cohort study design, 557 pregnant women were recruited in the first trimester and followed up until delivery. Maternal BMI, TGWG and TSGWG were assessed and categorised according to the World Health Organisation (WHO) Asia Pacific BMI guidelines and the Institute of Medicine (IOM) recommendations, respectively. Maternal clinical characteristics and pregnancy and neonatal outcomes were assessed to predict AFMO. Logistic regression models in univariate and multivariate analysis were performed to estimate the odds ratios (OR) and 95% confidence intervals (CI).

Results

The median BMI was 23.5 kg/m2. Moreover, 24.6% were overweight and 31.2% were obese, according to WHO Asia Pacific BMI cut points. The mean TGWG was 10.8 ± 1.9 kg and the mean TSGWG in the first, second and third trimesters were 1.7 ± 0.7 kg, 4.3 ± 1.1 kg and 4.8 ± 1.2 kg, respectively. We found a significant association of BMI, TGWG and TSGWG with various AFMO. Furthermore, excess third-trimester GWG has been demonstrated as a predictor of adverse maternal outcomes like hypertension and gestational diabetes mellitus.

Conclusions

Our study reinforces the importance of optimal BMI and TGWG and further emphasises on assessment of TSGWG, which allows for early diagnosis of weight deviations, when prompt interventions can still improve pregnancy outcomes. We also suggest the adoption of BMI categories and GWG recommendations, specific to the socio-demographic characteristics of the population, to optimise the prevention, early diagnosis, and timely management of AFMO.

Gestational weight trajectory and risk of adverse pregnancy outcomes among women with gestational diabetes mellitus: A retrospective cohort study

The aim of this study was to explore gestational weight gain (GWG) trajectories and their associations with adverse pregnancy outcomes. A retrospective cohort study including 11,064 women with gestational diabetes mellitus (GDM) was conducted between 2015 and 2019 in China. The latent class trajectory model was used to identify GWG trajectories, and logistic regression was performed to examine odds ratio (OR) of pregnancy outcomes. Three trajectories of GWG were identified in these 11,604 women with GDM. Trajectory 1: 64.02% of women had sustained moderate GWG throughout pregnancy; Trajectory 2: 17.75% of women showed a high initial GWG but followed by a low GWG from the third trimester until delivery; Trajectory 3: 18.23% had low initial GWG but followed by drastic GWG from the second trimester until delivery. Compared with pregnant women with Trajectory 1, women with Trajectory 2 had a higher risk of large for gestational age (adjusted odds ratio [AOR]: 1.29, 95% confidence interval [CI]: 1.12-1.48) but at a lower risk of having hypertensive disorders of pregnancy (AOR: 0.76, 95% CI: 0.57-0.96). Women in Trajectory 3 were more likely to develop small for gestational age (AOR: 2.12, 95% CI: 1.62-2.78), low birthweight (AOR: 1.49, 95% CI: 1.07-2.08), preterm birth (AOR: 1.28, 95% CI: 1.05-1.63), caesarean section (AOR: 1.26, 95% CI: 1.112-1.42) and hypertensive disorders of pregnancy (AOR: 2.24, 95% CI: 1.82-2.76). The association of GWG trajectory with adverse pregnancy outcomes differs across prepregnancy body mass index and GWG categories. Women with a slow initial GWG but followed by drastic GWG had higher risks of adverse pregnancy outcomes. Early clinical recognition of poor GWG trajectory will contribute to early intervention in high-risk groups to minimise adverse outcomes.

Gestational weight gain in women with type 1 and type 2 diabetes mellitus is related to both general and diabetes-related clinical characteristics

PURPOSE

To assess predictors of gestational weight gain (GWG), according to the Institute of Medicine (IOM) 2009, in women with type 1 and type 2 diabetes.

METHODS

This was a retrospective cohort study conducted at a tertiary center. GWG based on the IOM was assessed both uncorrected and corrected for gestational age. General and diabetes-related clinical characteristics were analyzed as predictors.

RESULTS

We evaluated 633 pregnant women with type 1 and type 2 diabetes. GWG uncorrected for gestational age was inadequate (iGWG) in 20.4%, adequate in 37.1%, and excessive (eGWG) in 42.5% of the women. Predictors included general (height, prepregnancy body mass index category, and multiple pregnancy) and diabetes-related clinical characteristics. Neuropathy and follow-up length were associated with iGWG (odds ratio (OR) 3.00, 95% CI 1.22-7.37; OR 0.92, 95% CI 0.86-0.97, respectively), while pump use and third-trimester insulin dose were associated with eGWG (OR 1.68, 95% CI 1.07-2.66; OR 3.64, 95% CI 1.88-7.06, respectively). Independent predictors for corrected GWG and sensitivity analyses also included general and diabetes-related clinical characteristics.

CONCLUSION

In this cohort of women with type 1 and type 2 diabetes, non-adequate GWG was common, mainly due to eGWG, and associated clinical characteristics were both general and diabetes-related. Current clinical care of these women during pregnancy may favor weight gain.

Effect of excessive gestational weight gain before and after 28 weeks on trial of labor after cesarean stratified by pre-pregnancy body mass index: a retrospective cohort study

This study aimed to assess the effect of excessive gestational weight gain (GWG) before and after 28 weeks on the mode of delivery in women who attempted a trial of labor after cesarean (TOLAC), stratified by pre-pregnancy BMI. A retrospective analysis of the outcomes of eligible women who attempted trial of labor after cesarean (TOLAC) in a Chinese hospital from January 2016 to October 2022 was performed. GWG before and after 28 weeks was categorized as 'excessive' or 'non-excessive' based on the guideline of Institute of Medicine (IOM). Multivariable logistic regression analyses were used to estimate the effect of excessive GWG before and after 28 weeks on mode of delivery in women who underwent TOLAC, stratified by pre-pregnancy BMI. Of the 512 women who underwent term trial of labor, 71.1% achieved a vaginal birth. No correlation was found between excessive GWG before 28 weeks and the rate of vaginal birth after cesarean (VBAC). Among women with or without excessive GWG before 28 weeks, excessive GWG after 28 weeks was significantly associated with a reduced rate of VBAC. When stratified by pre-pregnancy BMI, women who had excessive gestational weight gain after 28 weeks gestation had lower rates of VBAC than those who did not, regardless of being underweight, normal or overweight (aOR 0.23, 95% CI 0.06-0.88; aOR 0.42, 95% CI 0.25, 0.70; and aOR 0.12, 95% CI 0.04-0.36; respectively). Excessive weight gain after 28 weeks of pregnancy was related to decreased rates of VBAC, irrespective of pre-pregnancy weight status and weight gain before 28 weeks.

Development and validation of machine learning-based clinical decision support tool for identifying malnutrition in NICU patients

Hospitalized newborns have an increased risk of malnutrition and, especially preterm infants, often experience malnutrition-related extrauterine growth restriction (EUGR). The aim of this study was to predict the discharge weight and the presence of weight gain at discharge with machine learning (ML) algorithms. The demographic and clinical parameters were used to develop the models using fivefold cross-validation in the software-R with a neonatal nutritional screening tool (NNST). A total of 512 NICU patients were prospectively included in the study. Length of hospital stay (LOS), parenteral nutrition treatment (PN), postnatal age (PNA), surgery, and sodium were the most important variables in predicting the presence of weight gain at discharge with a random forest classification (AUROC:0.847). The AUROC of NNST-Plus, which was improved by adding LOS, PN, PNA, surgery, and sodium to NNST, increased by 16.5%. In addition, weight at admission, LOS, gestation-adjusted age at admission (> 40 weeks), sex, gestational age, birth weight, PNA, SGA, complications of labor and delivery, multiple birth, serum creatinine, and PN treatment were the most important variables in predicting discharge weight with an elastic net regression (R² = 0.748). This is the first study on the early prediction of EUGR with promising clinical performance based on ML algorithms. It is estimated that the incidence of EUGR can be improved with the implementation of this ML-based web tool ( http://www.softmed.hacettepe.edu.tr/NEO-DEER/ ) in clinical practice.

Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression

BACKGROUND

Adequate gestational weight gain (GWG) is an important factor for maternal and fetal health. This is especially important in low-income and slum areas due to limited access to health services and malnutrition. Thus, the purpose of this study is to evaluate the pattern of GWG changes in the slum areas of Hamadan in Iran.

METHODS

In this longitudinal study, the study sample consisted of 509 pregnant women who referred to nine health care clinics in the slum areas of Hamadan. Women's weight gain based on the recommended GWG by U.S. Institute of Medicine (IOM) was divided into three categories: Inadequate weight gain, Adequate weight gain, and Excessive weight gain. In order to evaluate the trend of GWG, a multi-level ordinal model was used.

RESULTS

According to pre-pregnancy BMI, a little more than half people (56.6%) were overweight or obese. 85.4% women in the first trimester and 49.1% in the second trimester did not have adequate GWG, but in the third trimester (38.9%) had adequate GWG. Based on multivariate analysis, pre- pregnancy BMI has a significant effect on the odds of inadequate GWG (P-value = 0.021); with one unit increase in pre-pregnancy BMI, the odds of inadequate GWG grows by 1.07 times compared to adequate and excessive GWG.

CONCLUSIONS

In general, women did not have adequate weight gain in the first and second trimesters.Thus, designing appropriate interventions to achieve optimal GWG seems to be necessary in slums.

Knowledge, attitude, and practice of the 2009 Institute of Medicine (IOM) recommendations on the nutritional management of diabetes in pregnancy: an online national survey

AIMS

As recommended by the Institute of Medicine (IOM), health practitioners should encourage a healthy nutrition and adequate weight gain during pregnancy in order to ensure favorable pregnancy and fetal outcomes, and to prevent diseases later in life for both mother and child. The purpose of this online survey was to determine the knowledge, attitude, and practice of the 2009 IOM recommendations among healthcare professionals managing nutritional therapy in pregnancies complicated by diabetes in Italy.

METHODS

A cross-sectional survey was conducted by using an online self-administered questionnaire undertaken between October and December 2021.

RESULTS

Of the 220 participants 89% were diabetologists/endocrinologists/internal medicine specialists and 11% dietitians/nutritionists. The survey found that the 53% of respondents provide a personalized diet to pregnant women with diabetes, while 32% a standard diet plan and only 15% healthy dietary advice. The 69% of the participants investigated for appropriate gestational weight gain, mainly based on pre-pregnancy BMI (96%), gestational weight gain (GWG) at first prenatal visit (80%) and presence of twin pregnancy (58%). Maternal weight gain was evaluated at each regularly scheduled prenatal visit and compared with IOM recommendations for the 87% of healthcare professionals. Diet plan was periodically re-evaluated and/or modified (90% of participants), based on inadequate maternal weight gain and/or fetal growth abnormalities (78%), trimester transition (53%), changes in physical activity and/or a "feel hungry" (50%).

CONCLUSIONS

This survey reported the knowledge and attitude of IOM guidelines and the nutritional knowledge and practice of Italian professionals on the nutritional management of diabetes in pregnancy. The application of these recommendations seemed more feasible in clinics/team dedicated to "Diabetes in Pregnancy".

The lived experiences of women exploring a healthy lifestyle, gestational weight gain and physical activity throughout pregnancy

BACKGROUND

Weight gain is inevitable during pregnancy. However, high prepregnancy body mass index and excessive gestational weight gain are associated with poor pregnancy outcomes. Understanding the experiences, social influences and decisions women make to maintain a healthy lifestyle during pregnancy are essential to consider how to improve services and interventions to help women engage in a healthy diet and physical activity (PA) behaviours.

OBJECTIVE

The study investigated women's opinions and lived experiences of engaging in a healthy diet, promoting optimal gestational weight gain and PA during and after pregnancy.

DESIGN AND METHODS

Twenty-two pregnant women contributed to qualitative data collection for this Grounded Theory (GT) study. Nineteen women completed semi-structured interviews and three patient and public involvement (PPI) representatives sought to validate the analysis and GT framework.

RESULTS

Two substantive categories were constructed: (1) Evolving from 'I' to 'we', as informed by two subcategories and (2) the power of information and guidance, as informed by three subcategories. These categories informed the core category, 'A navigational journey and evolution of the pregnant self'. The navigational journey involves constantly searching for knowledge and information to support and balance the interests of personal beliefs, the health of their unborn baby, their social circle and the wider world. A woman's psychological capability (e.g., their knowledge of a healthy lifestyle and confidence to implement such knowledge) is continuously tested.

CONCLUSIONS

Pregnancy may create a 'teachable moment' but there is a need for appropriate guidance from professionals to assist with lifestyle choices during pregnancy. The findings showed a significant influence of online resources, and lack of guidance on behaviour during pregnancy and may highlight areas of focus for future research and intervention.

PUBLIC CONTRIBUTION

Three pregnant women were recruited to act as PPI representatives to assist with the validation of the analytical findings and aid the final theoretical saturation of the GT framework. Commentary from these PPI representatives was used to validate the analysis and support the interpretation of the data. In addition, these PPI representatives were also invited to provide commentary on the draft manuscript and those involved in this later process have been included as coauthors.

Body Mass Index and Gestational Weight Gain Are Associated with Maternal and Neonatal Outcomes Based on Chinese Women

The objective of the study is to analyze the association between early pregnancy body mass index (BMI), gestational weight gain (GWG), and maternal and neonatal outcomes. The retrospective cohort study was conducted at Quanzhou First Hospital Affiliated to Fujian Medical University from January 2018 to May 2021, with 552 women enrolled. Women were divided into the underweight group, normal weight group, overweight group, and obese group according to early pregnancy BMI. Univariate and multivariate logistic regression analyses were performed. The absolute risk of adverse maternal and neonatal outcomes in the early pregnancy BMI group was calculated to further analyze the association between GWG and adverse maternal and neonatal outcomes. Of the 552 women, 390 (70.65%) women had adverse maternal and neonatal outcomes. The result revealed that overweight was associated with increased risk of adverse maternal and neonatal outcomes (odds ratio (OR): 1.643, 95% confidence interval (CI): 1.006-2.684), maternal complications (OR: 1.937, 95% CI: 1.188-3.159), and large for gestational age (LGA) (OR: 1.905, 95% CI: 1.061-3.422). In the obese group, the risk of adverse maternal and neonatal outcomes (OR: 5.760, 95% CI: 1.997-16.786), maternal complications (OR: 3.112, 95% CI: 1.645-5.887), gestational diabetes mellitus (GDM) (OR: 2.943, 95% CI: 1.509-5.741), cesarean section (OR: 1.899, 95% CI: 1.002-3.599), and preterm delivery (OR: 4.752, 95% CI: 1.395-16.185) increased. Besides, there was an association between insufficient GWG and decreased risk of LGA (OR: 0.392, 95% CI: 0.187-0.826) and higher risk of preterm delivery (OR: 2.818, 95% CI: 1.171-6.784). This study demonstrates that BMI and GWG are related to maternal and neonatal outcomes. It is necessary to regularly monitor the weight of pregnant women during pregnancy. And regional guidelines for GWG also need to be explored.

Inadequate Weight Gain According to the Institute of Medicine 2009 Guidelines in Women with Gestational Diabetes: Frequency, Clinical Predictors, and the Association with Pregnancy Outcomes

Background: In the care of women with gestational diabetes mellitus (GDM), more attention is put on glycemic control than in factors such as gestational weight gain (GWG). We aimed to evaluate the rate of inadequate GWG in women with GDM, its clinical predictors and the association with pregnancy outcomes. Methods: Cohort retrospective analysis. Outcome variables: GWG according to Institute of Medicine 2009 and 18 pregnancy outcomes. Clinical characteristics were considered both as GWG predictors and as covariates in outcome prediction. Statistics: descriptive, multinomial and logistic regression. Results: We assessed 2842 women diagnosed with GDM in the 1985–2011 period. GWG was insufficient (iGWG) in 50.3%, adequate in 31.6% and excessive (eGWG) in 18.1%; length of follow-up for GDM was positively associated with iGWG. Overall pregnancy outcomes were satisfactory. GWG was associated with pregnancy-induced hypertension, preeclampsia, cesarean delivery and birthweight-related outcomes. Essentially, the direction of the association was towards a higher risk with eGWG and lower risk with iGWG (i.e., with Cesarean delivery and excessive growth). Conclusions: In this cohort of women with GDM, inadequate GWG was very common at the expense of iGWG. The associations with pregnancy outcomes were mainly towards a higher risk with eGWG and lower risk with iGWG.

The Influence of Preeclampsia, Advanced Maternal Age and Maternal Obesity in Neonatal Outcomes Among Women with Gestational Diabetes

OBJECTIVE

 The present study aims to analyze adverse fetal or neonatal outcomes in women with gestational diabetes, including fetal death, preterm deliveries, birthweight, neonatal morbidity and mortality, as well as the synergic effect of concomitant pregnancy risk factors and poor obstetric outcomes, as advanced maternal age, maternal obesity and pre-eclampsia in their worsening.

METHODS

 The present cohort retrospective study included all pregnant women with gestational diabetes, with surveillance and childbirth at the Hospital da Senhora da Oliveira during the years of 2017 and 2018. The data were collected from the medical electronic records registered in health informatic programs Sclinico and Obscare, and statistical simple and multivariate analysis was done using IBM SPSS Statistics.

RESULTS

 The study participants included 301 pregnant women that contributed to 7.36% of the total institution childbirths of the same years, in a total of 300 live births. It was analyzed the influence of pre-eclampsia coexistence in neonatal morbidity (p = 0.004), in the occurrence of newborns of low and very low birthweight (p < 0.01) and in preterm deliveries (p < 0.01). The influence of maternal obesity (p = 0.270; p = 0.992; p = 0.684) and of advanced maternal age in these 3 outcomes was also analyzed (p = 0,806; p = 0.879; p = 0.985).Using a multivariate analysis, the only models with statistic significance to predict the three neonatal outcomes included only pre-eclampsia (p = 0.04; p < 0.01; p < 0.01).

CONCLUSION

 Only coexistence of pre-eclampsia showed an association with adverse neonatal outcomes (neonatal morbidity, newborns of low and very low birthweight and preterm deliveries) and can be used as a predictor of them in women with gestational diabetes.

Patterns of Women's Postpartum Weight Retention and Its Associations with Maternal Obesity-Related Factors and Parity

Background: There is not much data on the effects of the timing of gestational weight gain (GWG), pre-pregnancy waist circumference (WC), pre-pregnancy body mass index (BMI), and parity, with postpartum weight retention (PPWR) trajectories. Methods: This study was based on a longitudinal cohort. Latent growth mixture models were applied to identify the latent trajectories of PPWR and test the effects of the predictors on distinct classes of PPWR trajectories. Results: Three PPWR trajectories were identified. About 2.8% (n = 26) of women were classified into Class 1, with an inverted U-shape trajectory; 6.6% (n = 61) were assigned to Class 2, with a rapid increase trajectory; 90.6% (n = 837) were classified into Class 3, with a significant decrease. Women who had a lower pre-pregnancy BMI (β = −0.279), higher pre-pregnancy WC (β = 0.111) and GWG (β = 0.723) were at a higher risk of retaining more weight at 1 month postpartum. Only GWG, especially GWG during late pregnancy, was associated with the rate of PPWR change. Parity was not associated with the changes in PPWR, while, compared to Class 1 trajectory, multiparous women were protected from having a Class 2 trajectory. Conclusions: Early targeted interventions should be taken to prevent women who were primiparous, and/or had a lower pre-pregnancy BMI and higher pre-pregnancy WC and GWG, from excessive PPWR.