Waist circumference in the prediction of obesity-related adverse pregnancy outcomes

Association between indicators of visceral lipid accumulation and infertility: a cross-sectional study based on U.S. women

BACKGROUND

Evidence on the association between visceral lipid accumulation and infertility remains limited and controversial. Therefore, the current investigation is the first investigation to unveil this correlation by utilizing novel indicators of visceral lipid accumulation.

METHODS

The present study utilized the NHANES 2013-2020 dataset. Researchers utilized multiple logistic regression, smoothed curve fitting, and subgroup analysis to investigate the associations of waist circumference (WC), metabolic score for visceral fat (METS-VF), lipid accumulation product (LAP), visceral adiposity index (VAI) with infertility. Additionally, the eXtreme Gradient Boosting (XGBoost) algorithm model was utilized to evaluate the relative importance of the factors.

RESULTS

After adjusting for potential factors that could influence the results, researchers discovered that all these four indicators of visceral lipid accumulation exhibited strong positive correlations with the probability of infertility. The subgroup analysis demonstrated that the correlations remained consistent in the majority of subgroups (P for interaction > 0.05). The results of XGBoost algorithm model indicate that METS-VF is the most meaningful factor in infertility. The ROC curve research revealed that while METS-VF had the greatest AUC values, there was no variation in the AUC value of different markers of visceral fat accumulation (P > 0.05).

CONCLUSIONS

The present investigation discovered that increased WC, METS-VF, LAP, and VAI were associated with a heightened prevalence of infertility.

Higher waist circumference is associated with increased likelihood of female infertility: NHANES 2017-2020 results

Background

Waist circumference can be used as an anthropometric measure to assess central obesity and is easier and more convenient than the waist-to-hip ratio in identifying the risk of obesity and medical problems. Most studies showing an association between obesity and infertility in women have used BMI to measure obesity. Our goal was to examine any potential association between waist circumference and infertility.

Methods

This cross-sectional study, which formed part of the National Health and Nutrition Examination Survey (NHANES), comprised women ages 18 to 45 between 2017 and 2020. Participants without waist circumference data or information on infertility were removed from the study. The independent relationship between waist circumference and infertility was investigated using weighted binary logistic regression and subgroup analysis.

Results

We investigated 1509 participants and discovered that the prevalence of infertility rose as the WC trisection rose. (tertile 1, 7.55%; tertile 2, 10.56%; tertile 3, 15.28%; trend < 0.001). Multivariate logistic regression showed that after total adjustment, higher WC levels were associated with an increased likelihood of infertility in women (OR1.02; 95% CI 1.01-1.03), and There was a 2% rise in the incidence of infertility for every unit (cm) increased WC. Subgroup analysis and interaction tests showed no significant dependence of the effects of marital status, diabetes, hypertension, and high cholesterol on the association between WC and infertility (p for all interaction tests > 0.05). The inflection point of the positive non-linear relationship between WC and infertility was 116.6 cm.

Conclusion

Excessive waist circumference assessment may increase the probability of infertility, and more attention should be paid to the management of waist circumference should be given more attention.

Simulation of 3D Body Shapes for Pregnant and Postpartum Women

Several studies have reported that pre-pregnant women’s body mass index (BMI) affects women’s weight gain with complications during pregnancy and the postpartum weight retention. It is important to control the BMI before, during and after pregnancy. Our objectives are to develop a technique that can compute and visualize 3D body shapes of women during pregnancy and postpartum in various gestational ages, BMI, and postpartum durations. Body changes data from 98 pregnant and 83 postpartum women were collected, tracked for six months, and analyzed to create 3D model shapes. This study allows users to simulate their 3D body shapes in real-time and online, based on weight, height, and gestational age, using multiple linear regression and morphing techniques. To evaluate the results, precision tests were performed on simulated 3D pregnant and postpartum women’s shapes. Additionally, a satisfaction test on the application was conducted on new 149 mothers. The accuracy of the simulation was tested on 75 pregnant and 74 postpartum volunteers in terms of relationships between statistical calculation, simulated 3D models and actual tape measurement of chest, waist, hip, and inseam. Our results can predict accurately the body proportions of pregnant and postpartum women.

Waist Circumference Measurement for Prediction of Preeclampsia: A Population-Based Cohort Study

BACKGROUND

Identifying women at high risk for preeclampsia is essential for the decision to start treatment with prophylactic aspirin. Prediction models have been developed for this purpose, and these typically incorporate body mass index (BMI). As waist circumference (WC) is a better predictor for metabolic and cardiovascular outcomes than BMI in nonpregnant populations, we aimed to investigate if WC is a BMI-independent predictor for preeclampsia and if the addition of WC to a prediction model for preeclampsia improves its performance.

METHODS

We used a population-based cohort of 4,696 women with WC measurements taken in the first trimester. The influence of WC on the risk of developing preeclampsia was evaluated by multivariable logistic regression. We generated receiver operating characteristic curves and calculated the area under the curve (AUC) to evaluate the usefulness of WC measurements for prediction of preeclampsia.

RESULTS

Women who developed preeclampsia had greater early pregnancy WC than women who did not (85.8 ± 12.6 vs. 82.3 ± 11.3 cm, P < 0.001). The risk of preeclampsia increased with larger WC in a multivariate model, adjusted odds ratio 1.02 (95% confidence interval 1.01-1.03). However, when adding BMI into the model, WC was not independently associated with preeclampsia. The AUC value for preeclampsia prediction with BMI and the above variables was 0.738 and remained unchanged with the addition of WC to the model.

CONCLUSIONS

Large WC is associated with a higher risk of preeclampsia, but adding WC to a prediction model for preeclampsia that already includes BMI does not improve the model's performance.

Correlation of body composition in early pregnancy on gestational diabetes mellitus under different body weights before pregnancy

OBJECTIVE

The prediction of gestational diabetes mellitus (GDM) by body composition-related indicators in the first trimester was analyzed under different body mass index (BMI) values before pregnancy.

METHODS

This was a retrospective analysis of pregnant women who were treated, had documented data, and received regular perinatal care at the Third Affiliated Hospital of Zhengzhou University from January 1, 2021, to December 31, 2021. Women with singleton pregnancies who did not have diabetes before pregnancy were included. In the first trimester (before the 14th week of pregnancy), bioelectric impedance assessment (BIA) was used to analyze body composition-related indicators such as protein levels, mineral levels, fat volume, and the waist-hip fat ratio. The Pearman's correlation coefficient was used to evaluate the linear relationship between the continuous variables and pre-pregnancy body mass index (BMI). In the univariate body composition analysis, the association with the risk of developing GDM was included in a multivariate analysis using the relative risk and 95% confidence interval obtained from logarithmic binomial regression, and generalized linear regression was used for multivariate regression analysis. Furthermore, the area under the curve (AUC) was calculated by receiver operating characteristic (ROC) curves. The optimal cutoff value of each risk factor was calculated according to the Youden Index.

RESULTS

In a retrospective study consisting of 6698 pregnant women, we collected 1109 cases of gestational diabetes. Total body water (TBW), protein levels, mineral levels, bone mineral content (BMC), body fat mass (BFM), soft lean mass (SLM), fat-free mass (FMM), skeletal muscle mass (SMM), percent body fat (PBF), the waist-hip ratio (WHR), the visceral fat level (VFL), and the basal metabolic rate (BMR) were significantly higher in the GDM group than in the normal group (P<0.05). Under the pre-pregnancy BMI groupings, out of 4157 pregnant women with a BMI <24 kg/m², 456 (10.97%) were diagnosed with GDM, and out of 2541 pregnant women with a BMI ≥24 kg/m², 653 (25.70%) were diagnosed with GDM. In the generalized linear regression model, it was found that in all groups of pregnant women, pre-pregnancy BMI, age, gestational weight gain (GWG) in the first trimester, and weight at the time of the BIA had a certain risk for the onset of GDM. In Model 1, without adjusting for confounders, the body composition indicators were all positively correlated with the risk of GDM. In Model 3, total body water, protein levels, mineral levels, bone mineral content, soft lean mass, fat-free mass, skeletal muscle mass, and the basal metabolic rate were protective factors for GDM. After Model 4 was adjusted for confounders, only the waist-hip ratio was positively associated with GDM onset. Among pregnant women with a pre-pregnancy BMI <24 kg/m², the body composition-related indicators in Model 2 were all related to the onset of GDM. In Model 3, total body water, soft lean mass, fat-free mass, and the basal metabolic rate were negatively correlated with GDM onset. In the body composition analysis of among women with a pre-pregnancy BMI ≥ 24 kg/m², only Model 1 and Model 2 were found to show positive associations with GDM onset. In the prediction model, in the basic data of pregnant women, the area under the receiver operating characteristic curve predicted by gestational weight gain for GDM was the largest (0.795), and its cutoff value was 1.415 kg. In the body composition results, the area under the receiver operating characteristic curve of body fat mass for predicting GDM risk was larger (0.663) in all pregnant women.

CONCLUSIONS

Through this retrospective study, it was found that the body composition-related indicators were independently associated with the onset of GDM in both the pre-pregnancy BMI <24 kg/m² and pre-pregnancy BMI ≥24 kg/m² groups. Body fat mass, the visceral fat level, and the waist-hip ratio had a higher correlation with pre-pregnancy BMI. Total body water, protein levels, mineral levels, bone mineral content, soft lean mass, fat-free mass, skeletal muscle mass, and the basal metabolic rate were protective factors for GDM after adjusting for some confounders. In all pregnant women, the waist-hip ratio was found to be up to 4.562 times the risk of GDM development, and gestational weight gain had the best predictive power for GDM. Gestational weight gain in early pregnancy, body fat mass, and the waist-hip ratio can assess the risk of GDM in pregnant women, which can allow clinicians to predict the occurrence of GDM in pregnant women as early as possible and implement interventions to reduce adverse perinatal outcomes.

Effects of obesity indices/GDM on the pregnancy outcomes in Chinese women: A retrospective cohort study

OBJECTIVE

To analyze pregnancy complications and outcomes of mothers with obesity or gestational diabetes mellitus (GDM).

METHODS

15065 mothers were categorized into four and three groups by pre-pregnancy body mass index (preBMI) and abdominal circumference (AC), respectively, or divided into GDM or non-GDM groups. Logistic regression analysis was utilized to identify independent factors associated with pregnancy complications and outcomes.

RESULTS

The overweight and obesity groups accounted for 16.0% and 4.0% of the total population, respectively. GDM incidence rate was 12.3%. The overweight and obesity groups (pre-pregnancy body mass index [preBMI] ≥ 24 kg/m²) were at higher risks for GDM, hypertensive disorders of pregnancy (HDP), gestational proteinuria, postpartum hemorrhage, preterm delivery, fetal malformation or stillbirth, neonatal asphyxia, large for gestational age (LGA), shoulder dystocia, and increased cesarean section rate. Similar results were obtained with AC grouping. GDM pregnant women had higher risks of HDP, preterm delivery, small for gestational age (SGA), LGA, and increased cesarean section rate.

CONCLUSION

People with obesity had a higher risk of adverse pregnancy outcomes. The recommended preBMI is 19.2-22.7 kg/m². The recommended AC at 11-13⁺⁶ gestational weeks is 74.0-84.0 cm, and that value in normal preBMI is 74.0-82.0 cm.

The association of general obesity, central obesity and visceral body fat with the risk of gestational diabetes mellitus: Evidence from a systematic review and meta-analysis

BACKGROUND

Studies consistently reported that general obesity predicts gestational diabetes mellitus (GDM). However, whether other phenotypes of obesity such as central obesity and visceral adiposity might have differential associations as risk factors of GDM are less known. The objective of this study was to investigate the association of all these obesity phenotypes in developing GDM.

METHODS

PubMed, CINHAL, Embase, Scopus, Google Scholar and Web of Science were searched. Full-text research articles published in English from 1985 to February 2020 with cohort and cross-sectional studies design and reported an association between obesity and GDM were included. Case-control studies, case reports, conference abstract, women with previous metabolic disorders and articles considered general obesity only were excluded. A bias adjusted-quality effect meta-analysis was conducted to evaluate the association of these obesity phenotypes and GDM risk.

RESULTS

Twenty studies met the inclusion criteria representing data of ∼50 thousand women at the reproductive age with ∼7% prevalence of GDM. Meta-analysis of 14 datasets revealed that the three types of obesity were significantly associated with an increased risk of GDM. In addition, visceral adiposity was a stronger risk factor for GDM than other obesity phenotypes (odd ratio = 3.25, 95% confidence interval = 2.01-5.26) versus (odd ratio = 2.73, 95% confidence interval = 2.20-3.38) for general obesity and (odd ratio = 2.53, 95% confidence interval = 2.04-3.14) for central obesity.

CONCLUSION

The findings of this study suggest that general obesity, central obesity and visceral body fat were associated with an increased risk of GDM. Furthermore, the association with maternal visceral adiposity was more robust compared to general obesity and central obesity.

Maternal and Neonatal Outcomes among Obese Pregnant Women in King Abdulaziz University Hospital: A Retrospective Single-Center Medical Record Review

Intoruction:

Pregnancy results in different physiological changes to the pregnant body resulting in weight gain. This added weight can result in poor pregnancy outcomes in obese women.

Aim:

To assess the adverse maternal and neonatal outcomes among obese pregnant women.

Methods:

This is a retrospective record review conducted on obese pregnant women who delivered in the last five years attending King Abdulaziz University Hospital, Jeddah, Saudi Arabia. Therefore, for analysis we used the following; 1- descriptive analysis, 2- Chi-square test, Pearson correlation, independent t-test, and one-way ANOVA to test the difference in obese and adverse pregnancy outcomes. Advance statistics such as binary, and multinomial logistic regression were used to examine the relationship between obesity and all adverse pregnancy outcomes.

Results:

A total of 1037 obese pregnant women were enrolled in our study including 620 (59.8%) obese in class I (30-34.9), 262 (25.3%) obese in class II (35-39.9), and 155 (14.9%) obese in class III (40). About 74.73% of the population were Saudis. The average age was 31.96 (5.79) years. Out of 1037 obese pregnant women, 449 did develop undesired antepartum outcomes, while 729 and 163 had adverse neonatal, and postpartum outcomes. Antepartum variables such as preeclampsia, gestational diabetes mellitus, impaired glucose tolerance test, antiphospholipid syndrome, premature rupture of membranes, placenta previa, anemia, urinary tract infection, and oligohydramnios, and rate of Cesarean section were significantly associated with obesity (P<0.05). Postpartum variables such as vaginal laceration, perianal laceration, postpartum hemorrhage, and endometritis were also significantly associated with obesity (P<0.05). Moreover, adverse neonatal outcomes such as low APGAR scores at 1 and 5 minutes, birthweight, gestational age, admission to neonatal intensive care unit, intrauterine fetal death, and neonatal death, were significant significantly associated with obesity (P<0.05).

Conclusion:

As our study demonstrated, maternal obesity resulted in adverse outcomes for the mother and fetus. Hence, to yield a better outcome for these women and their offspring, periconceptional counseling, conducting health education, and comprehensive plan prior to their pregnancy should be enforced.

The predictive value of weight gain and waist circumference for gestational diabetes mellitus

Objective:

The first objective of this study was to investigate the relationship between gestational diabetes mellitus (GDM) and gestational weight gain (WG), waist circumference (WC), prepregnancy, and gestational body mass index (BMI). The second aim of our study was to assess the ability of WG, WC, prepregnancy, and gestational BMI with special reference to their cut-off points on predicting the risk of GDM in pregnant women in Turkey.

Materials and Methods:

A total of 261 women who underwent screening for GDM with the 75-g glucose tolerance test (GTT) between 24^th and 28^th gestational weeks were included. According to the 75-g oral GTT results, women were classified into two groups: the GDM group and non-GDM group. The data collected included age, parity, plasma glucose level for fasting, 1- and 2-h tests, WC, prepregnancy and gestational BMI, prepregnancy weight, WG during pregnancy, gestational age at birth, and birth weight.

Results:

WC at 20-24 weeks of gestation, prepregnancy BMI, and gestational BMI had a predictive capacity for GDM. According to our results, optimal cut-off points for the best predictive value of GDM were WC of 100 cm with a sensitivity of 84% and specificity of 70%, prepregnancy BMI of 25 kg/m² with a sensitivity of 81.8% and specificity of 76%, and gestational BMI of 28.3 kg/m² with a sensitivity of 75% and specificity of 77.4%.

Conclusion:

The measurement of prepregnancy BMI, gestational BMI, and WC may be useful in predicting the risk of GDM. Pregnant women with increased prepregnancy BMI, gestational BMI, and WC measurements may be susceptible to the development of GDM.

Does the first trimester of pregnancy induce alterations in the walking pattern?

Introduction

From among many studies observing the walking pattern throughout pregnancy, only two items monitor the influence of pregnancy on the movement system during gait considering the period before gestation.

Research question

Does the women’s gait pattern at the end of the first trimester undergo changes in comparison to body movement pattern before pregnancy?

Methods

All subjects who met the inclusion criteria gave signed and informed consent before the study. Two experimental sessions were arranged according to the same protocol: (P0) before pregnancy and (P1) at the end of the first trimester of pregnancy (12^th week of gestation). At first the anthropometric measures were taken. Then, walking trials at a self-selected speed along a walkway were registered with Vicon 250 (Oxford Metrics Ltd.; Oxford, UK) and FreeMED force platform (Sensor Medica, Italy).

Results

An analysis of anthropometric parameters in 12^th pregnancy week demonstrated significant changes in mean values of waist circumference and waist to hip ratio as well as waist to height ratio indexes compared to the results before pregnancy. No significant differences were found in the basic kinematic gait parameters between experimental conditions. Significant increase of mean inter—ankle distance during double support phase occurred during the first trimester of pregnancy. Also, the ratio of the ankle separation width to the pelvic width was noticeably higher in gestation. Then, angular changes of the pelvis in coronal and transverse planes throughout gait cycle during pregnancy demonstrated significant differences compared to those measured before pregnancy. At the same time in the first trimester of pregnancy no adaptive changes in the pattern of feet loading take place.

Significance

Since our study is of longitudinal character, in the course of pregnancy we expect compensatory mechanisms more clearly demonstrated. Therefore, we hope to identify a strategy of the gravid body progression in space.

Do the Low WHRs and BMIs Judged Most Attractive Indicate Higher Fertility?

We examine the widely accepted view that very low waist-hip ratios and low body mass indices (BMIs) in women in well-nourished populations are judged attractive by men because these features reliably indicate superior fertility. In both subsistence and well-nourished populations, relevant studies of fertility do not support this view. Rather studies indicate lower fertility in women with anthropometric values associated with high attractiveness. Moreover, low maternal BMI predisposes to conditions that compromise infant survival. Consistent with these findings from the literature, new data from a large U.S. sample of women past reproductive age show that women with lower BMIs in the late teens had fewer live births, controlling for education, marital history, and race. They also had later menarche and earlier menopause compared with women with higher youth BMIs. In addition, data from the 2013 U.S. natality database show that mothers with lower prepregnancy BMIs have an increased risk of producing both low-birth-weight and preterm infants controlling for other relevant variables-conditions that would have adversely affected fitness over almost all of human evolution. Thus, a review of the relevant literature and three new tests fail to support the view that highly attractive women are more fertile.

Interactions between general and central obesity in predicting gestational diabetes mellitus in Chinese pregnant women: A prospective population-based study in Tianjin, China

BACKGROUND

The aim of the present study was to define cut-off points of body mass index (BMI) and waist circumference (WC) for gestational diabetes mellitus (GDM) and to investigate any interactions between high BMI and high WC on the risk of GDM in pregnant Chinese women.

METHODS

From 2010 to 2012, 17 803 women in Tianjin, China, who were at 4-12 weeks gestation were recruited to the study. Gestational diabetes mellitus was diagnosed according to the criteria of the International Association of Diabetes and Pregnancy Study Group at 24-28 weeks gestation. Binary logistic regression was used to obtain odds ratios (ORs) and 95% confidence intervals (CIs) while controlling for the confounding effects of traditional risk factors. Restricted cubic spline was used to identify cut-off points of WC and BMI, if any, for GDM.

RESULTS

Gestational diabetes mellitus developed in 1383 (7.8%) women. The risk of GDM increased steeply with increasing WC from ≥78.5 cm and BMI ≥22.5 kg/m² . If BMI <22.5 kg/m² and WC <78.5 cm were used as the reference, BMI between ≥22.5 and <24.0 kg/m² (multivariable OR 1.76; 95%CI 1.47-2.10) and WC between ≥78.5 and <85.0 cm (multivariable OR 1.53; 95%CI 1.31-1.78) were independently associated with increased risks of GDM. In addition, the presence of both BMI ≥22.5 kg/m² and WC ≥78.5 cm further increased the OR to 2.83 (95% CI 2.44-3.28), with significant additive interaction.

CONCLUSIONS

Body mass index ≥22.5 kg/m² and WC ≥78.5 cm measured up to 12 weeks of gestation were independently and synergistically associated with increased risks of GDM in Chinese pregnant women.

New anthropometric indices or old ones: Which is the better predictor of body fat?

BACKGROUND

The percent and distribution of body fat are important factors in the pathogenesis of numerous diseases. Our aim was to investigate common anthropometric indices in their relationship with body fat content.

METHODS

In a cross-sectional study 1360 healthy individuals (580 men and 780 women) in a cluster sampling, from Ahvaz, Iran, body fat content (using bioelectrical impedance) and anthropometric measurements [weight, waist circumference, a body shape index, abdominal volume index, body adiposity index, conicity, body mass index, hip circumference, waist to hip ratio and waist to height ratio] was obtained. The ROC curve analysis was used to compare each index with body fat percent.

RESULTS

Significant difference was found between men and women in all anthropometric parameters (p < 0.001). Women displayed higher percentages in the overweight and obese categories (33.6% vs. 32.9% and 26.4% vs. 22.1%, respectively). In both men and women, the strongest correlations were seen between body fat percent and BMI, AVI and WHtR (r>7.9 and p<0.001). BMI, WHtR and AVI in men and BAI, BMI and WHtR in women showed the most accuracy for estimating body fat percent, respectively.

CONCLUSION

All anthropometric parameters could predict body fat percent with relatively good power, however BMI, WHtR and AVI are more powerful predictors. Based on our findings, we suggest using the AVI and WHtR instead of other indexes, as they are better able to assess the accumulation of fat in the abdominal area and are able to more accurately assess body fat percent, which are indicators of chronic disease.

Better Predictor of Adverse Pregnancy Outcome: Asian or WHO International Cutoff? A Single-Centre Prospective Study

OBJECTIVES

To compare the Asian Indian body mass index (BMI) and waist circumference (WC) with World Health Organization (WHO) BMI and WC in the prediction of adverse maternal and perinatal outcome in overweight and obese women.

MATERIALS AND METHODS

Prospective analysis of 239 women booked within 10 weeks of pregnancy and followed till delivery at our centre was performed.

RESULTS

The mean age of the study group was 26.08 years, of which elderly gravida was 1.3 %. Overall, 17.6 % were overweight, 29.7 % were obese, and 42.7 % had abdominal obesity as per Asian Indian BMI and WC cutoff, whereas only 8.5 % were obese, and 14.2 % had abdominal obesity as per WHO. In high-risk group, gestational diabetes was commonest complication (20 %). Compared to WHO, Asian Indian BMI cutoff has statistically significant predictability for gestational diabetes, preeclampsia and its complications, labour induction, and Caesarean section rate. On the other hand, Asian WC has the best predictability only for preeclampsia and its complications. Sensitivity, specificity, and negative predictive value of Asian BMI were 82, 55 and 96 % when compared with 60.7, 72.3 and 92 % of WHO BMI.

CONCLUSION

Categorising women using Asian BMI, an increase in the prevalence of obesity by threefold is noted. Asian BMI and WC have high sensitivity in predicting adverse maternal and foetal outcomes and should be widely implemented in obstetric practice.

Waist-to-Hip Ratio versus Body Mass Index as Predictor of Obesity-Related Pregnancy Outcomes

Objective In nonpregnant populations the waist-to-hip ratio (WHR) is a better predictor of obesity-related outcomes than body mass index (BMI). Our objective was to determine, in pregnancy, the relationship between these measures of obesity, and large-for-gestational age (LGA) and cesarean delivery (CD). Methods This is a secondary analysis of data from the Combined Antioxidant and Preeclampsia Prediction Study. Women with a WHR of ≥ 0.85 and 0.80 to 0.84 at 9 to 16 weeks gestation were compared with those with a WHR < 0.80. Women with early pregnancy BMI ≥ 30.0 kg/m(2) (obese) and 25.0 to 29.9 kg/m(2) (overweight) were compared with those < 25.0 kg/m(2). LGA was defined as > 90% by Alexander nomogram. Univariable analysis, logistic regression, and receiver operating characteristic curves were used. Results Data from 2,276 women were analyzed. After correcting for potential confounders, only BMI ≥ 30 was significantly associated with LGA (adjusted odds ratio [aOR]: 2.07, 1.35-3.16) while BMI 25.0-29.9 (aOR: 1.5, 0.98-2.28), WHR 0.8-0.84 (aOR: 1.33, 0.83-2.13), and WHR ≥ 0.85 (aOR: 1.05, 0.67-1.65) were not. Risk for CD was increased for women with elevated WHR and with higher BMI compared with normal. Conclusion WHR is not associated with LGA. While BMI performed better than WHR, neither was a strong predictor of LGA or need for CD in low-risk nulliparous women.

Relationship of Early Pregnancy Waist-to-Hip Ratio versus Body Mass Index with Gestational Diabetes Mellitus and Insulin Resistance

OBJECTIVE

To determine the risk of gestational diabetes mellitus (GDM) and insulin resistance (IR) in obesity defined by body mass index (BMI), waist-to-hip ratio (WHR), or both combined.

METHODS

Secondary analysis of a randomized multicenter trial of antioxidant supplementation versus placebo in nulliparous low-risk women to prevent pregnancy associated hypertension. Women between 9 and 16 weeks with data for WHR and BMI were analyzed for GDM (n = 2,300). Those with fasting glucose and insulin between 22 and 26 weeks (n = 717) were analyzed for IR by homeostatic model assessment of IR (normal, ≤ 75th percentile). WHR and BMI were categorized as normal (WHR, < 0.80; BMI, < 25 kg/m(2)); overweight (WHR, 0.8-0.84; BMI, 25-29.9 kg/m(2)); and obese (WHR, ≥ 0.85; BMI ≥ 30 kg/m(2)). Receiver operating characteristic curves and logistic regression models were used.

RESULTS

Compared with normal, the risks of GDM or IR were higher in obese by BMI or WHR. The subgroup with obesity by WHR but not by BMI had no increased risk of GDM. BMI was a better predictor of IR (area under the curve [AUC]: 0.71 [BMI], 0.65 [WHR], p = 0.03) but similar to WHR for GDM (AUC: 0.68 [BMI], 0.63 [WHR], p = 0.18).

CONCLUSION

Increased WHR and BMI in early pregnancy are associated with IR and GDM. BMI is a better predictor of IR compared with WHR. Adding WHR to BMI does not improve its ability to detect GDM or IR.

Gestational weight gain, early pregnancy maternal adiposity distribution, and maternal hyperglycemia

To estimate the effects of gestational weight gain (GWG), central adiposity and subcutaneous fat on maternal post-load glucose concentration, pregnant women [n = 413, 62% black, 57% with pregravid body mass index (BMI) ≥25] enrolled in a cohort study at ≤13 weeks gestation. GWG was abstracted from medical records. In a sub-sample of women (n = 214), waist circumference (WC), and biceps and triceps skinfold thicknesses were measured at enrollment. At 24-28 weeks gestation, post-load glucose concentration was measured using a 50-g 1-h oral glucose tolerance test. After adjustment for pre-pregnancy BMI, age, parity, race/ethnicity, smoking, marital status, annual family income, education, family history of diabetes, and gestational age of GDM screening, each 0.3-kg/week increase in weight in the first trimester was associated with a 2.2 (95% CI 0.1, 4.3)-mg/dl increase in glucose concentration. Each 8.6-mm increase in biceps skinfold thickness and each 11.7-mm increase in triceps skinfold thickness was associated with 4.3 (95% CI 0.2, 8.5)-mg/dl increase in maternal glucose, independent of BMI and other confounders. Neither GWG in the second trimester nor WC at ≤13 weeks was significantly associated with glucose concentration after confounder adjustment. Independent of pre-pregnancy BMI, high early pregnancy GWG and maternal subcutaneous body fat may be positively associated with maternal glucose concentrations at 24-28 weeks.

Evaluation of some anthropometric indices for the diagnosis of obesity in pregnancy in Nigeria: a cross-sectional study

BACKGROUND

Obesity in pregnancy is a global health problem which is associated with poor pregnancy outcomes. The use of weight and height, measured at about ten weeks of gestation, to produce pre-gestational body mass index is recommended for the diagnoses of the condition but limitations abound in under resourced settings.

OBJECTIVES

To measure anthropometric indices such as mid upper arm circumference, calf circumference, waist circumference and waist to hip ratio, for identification of obesity in pregnancy.

METHODS

Anthropometric measurements were carried out on cohorts of pregnant women from 4 hospitals in Enugu, South-eastern Nigeria.

RESULTS

There were no significant difference in the mean mid upper arm circumference (MUAC) and calf circumference (CC) across the trimester groups. The mean values of waist circumferences, hip circumference and waist to hip ratios changed significantly across the trimesters. The 75(th) percentile of MUAC (33 cm) and CC (39 cm) in all trimesters, had sensitivity and specificity of more than 70% for identifying obesity in pregnancy.

CONCLUSION

MUAC and CC values of 33cm and 39cm respectively might be reliable cut off points for diagnoses of obesity throughout pregnancy in Enugu, Nigeria.

Waist circumference in predicting gestational diabetes mellitus

BACKGROUND

To evaluate waist circumference (WC) measured at 20-24 weeks of gestation as a predictor of gestational diabetes mellitus (GDM).

METHODS

This cross-sectional study included 240 women at 20-24 weeks of gestation. At enrollment, WC was measured, and both prepregnancy and gestational body mass index (BMI) were estimated. According to the results of 75-g oral glucose tolerance test (OGTT) performed at 24-28 weeks, subjects were allocated into two groups, non-GDM and GDM. WC sensitivity and specificity, and odds ratios (OR) and 95% confidence intervals for BMI and WC were estimated, and a receiver operating characteristics curve was generated.

RESULTS

Of the 240 pregnant women enrolled, 31 (13%) had GDM. Prepregnancy BMI (OR = 4.21), gestational BMI (OR = 3.17) and WC at 20-24 weeks (OR = 4.02) correlated with GDM risk. At 20-24 weeks, a WC of 85.5-88.5 cm was the optimal cutoff point for predicting GDM (Sens/Spec balance between 87.1/41.1% and 77.4/56.9%).

CONCLUSION

At 20-24 weeks of gestation, WC values in the range of 86-88 cm showed to be a good performance in predicting GDM.

DALI: Vitamin D and lifestyle intervention for gestational diabetes mellitus (GDM) prevention: an European multicentre, randomised trial - study protocol

Background

Gestational diabetes mellitus (GDM) is an increasing problem world-wide. Lifestyle interventions and/or vitamin D supplementation might help prevent GDM in some women.

Methods/design

Pregnant women at risk of GDM (BMI≥29 (kg/m²)) from 9 European countries will be invited to participate and consent obtained before 19+6 weeks of gestation. After giving informed consent, women without GDM will be included (based on IADPSG criteria: fasting glucose<5.1mmol; 1 hour glucose <10.0 mmol; 2 hour glucose <8.5 mmol) and randomized to one of the 8 intervention arms using a 2×(2×2) factorial design: (1) healthy eating (HE), 2) physical activity (PA), 3) HE+PA, 4) control, 5) HE+PA+vitamin D, 6) HE+PA+placebo, 7) vitamin D alone, 8) placebo alone), pre-stratified for each site. In total, 880 women will be included with 110 women allocated to each arm. Between entry and 35 weeks of gestation, women allocated to a lifestyle intervention will receive 5 face-to-face, and 4 telephone coaching sessions, based on the principles of motivational interviewing. The lifestyle intervention includes a discussion about the risks of GDM, a weight gain target <5kg and either 7 healthy eating ‘messages’ and/or 5 physical activity ‘messages’ depending on randomization. Fidelity is monitored by the use of a personal digital assistance (PDA) system. Participants randomized to the vitamin D intervention receive either 1600 IU vitamin D or placebo for daily intake until delivery. Data is collected at baseline measurement, at 24–28 weeks, 35–37 weeks of gestation and after delivery. Primary outcome measures are gestational weight gain, fasting glucose and insulin sensitivity, with a range of obstetric secondary outcome measures including birth weight.

Discussion

DALI is a unique Europe-wide randomised controlled trial, which will gain insight into preventive measures against the development of GDM in overweight and obese women.

Trial registration

ISRCTN70595832

The Relation between Early Pregnancy Anthropometric Indices among Primiparous Women and Macrosomia

INTRODUCTION

The prevalence of obesity is increasing in both developed and developing nations. Body mass index (BMI) is the most common index for obesity assessment and its relation with most complications among non-pregnant and pregnant women is known. However, no study has evaluated the relation between abdominal obesity and macrosomia among pregnant women.

METHODS

In this prospective study, anthropometric indices including weight, height, and waist circumference (WC) of 1140 nulliparous pregnant women during their first trimester of pregnancy (6(th)-10(th) weeks) were measured by the researcher. According to the classification of the World Health Organization, women with BMI > 25 kg/m(2) were considered as overweight or obese. Abdominal obesity was defined as WC ≥ 88 cm. Finally, mothers were followed up and fetal macrosomia was recorded in a checklist. Data was analyzed in SPSS15.

RESULTS

The results showed that 77.5% of women aged 20-35 years and 92.7% were housewives. The mean (SD) values of BMI and WC were 24.32 (4.08) kg/m(2) and 81.84 (9.25) cm, respectively. The prevalence of overweight (BMI = 25-29.9 kg/m(2)) and obesity (BMI > 29.9 kg/m) was 27.6% and 8.8%, respectively. Abdominal obesity based on WC was found in 34.8% of the subjects.

CONCLUSION

Findings of this study revealed obesity in over one third of nulliparous pregnant women during their first trimester. Moreover, the high prevalence of macrosomia, in these women confirmed the importance of maternal education about obesity-related complications in order to change their lifestyle and prevent obesity.

Definition, epidemiology, risk factors

Gestational diabetes mellitus is defined as glucose intolerance that begins or is first recognized during pregnancy. Its prevalence, generally situated between 2-6%, may reach 10-20% in high-risk populations, with an increasing trend across most racial/ethnic groups studied. Among traditional risk factors, previous gestational diabetes, advanced maternal age and obesity have the highest impact on gestational diabetes risk. Racial/ethnic origin and family history of type 2 diabetes have a significant but moderate impact (except for type 2 diabetes in siblings). Several non traditional factors have been recently characterized, either physiological (low birthweight and short maternal height) or pathological (polycystic ovaries). The multiplicity of risk factors and their interactions results in a low reliability of risk prediction on an individual basis.

Daytime sleepiness and quality of life: are they associated in obese pregnant women?

OBJECTIVE

To know the relationship between daytime sleepiness and quality of life during pregnancy according to the weight gain and baseline weight.

METHODS

We studied 216 pregnant women (108 obese and 108 non-obese). At first and third trimester of pregnancy they completed the 12-item short-form health survey (SF-12) and the Epworth Sleepiness Scale (ESS). Furthermore, in both visits, we evaluated blood pressure, body mass index (BMI), and reviewed all medical charts to identify pregnancy complications.

RESULTS

Weight gain and mental component of quality of life (MCS-12) in both trimesters were lower in the obese group, whereas ESS was higher. The physical component of quality of life (PCS-12) was only lower in the same group at third trimester. Those women with ESS ≥ 10 at third trimester showed a higher baseline BMI and ESS score, but lower MCS-12 and PCS-12 at third trimester. Baseline and final BMI were positively associated with ESS at third trimester, whereas PCS-12 value in both trimesters was negatively related.

CONCLUSIONS

Obesity at the beginning of pregnancy but not weight gain was related to low quality of life and daytime sleepiness at the third trimester of gestation. High BMI but low PCS-12 during pregnancy was associated with daytime sleepiness.

Body mass index and obstetric outcomes in pregnant in Saudi Arabia: a prospective cohort study

BACKGROUND AND OBJECTIVES

We examined the effect of body mass index in early pregnancy on pregnancy outcome since no study in Saudi Arabia has addressed this question.

METHODS

This prospective cohort study involved women registered for antenatal care during the first month of pregnancy at primary health care centers in Al-Hassa, Saudi Arabia. Data was collected from records and by direct interview.

RESULTS

The study included 787 women. Compared to normal weight women (n=307), overweight (n=187) and obese (n=226) women were at increased risk for pregnancy-induced hypertension (RR=4.9 [95% CI 1.6-11.1] and 6.1 [95% CI 2.1-17.8], respectively), gestational diabetes (RR=4.4 [95% CI 1.2-16.3] and 8.6 [95% CI 2.6-28.8]), preeclamptic toxemia (RR=3.8 [95% CI 1.1-14.6] and 5.9 [95% CI 1.7-20.4]), urinary tract infections (RR=1.4 [95% CI 0.5-3.9] and 3.7 [95% CI 1.7-6.2]), and cesarean delivery (RR=2.0 [95% CI 1.3-3.0] in obese women). Neonates born to obese women had an increased risk for postdate pregnancy (RR=3.7 [95% CI 1.2-11.6]), macrosomia (RR=6.8 [95% CI 1.5-30.7]), low 1-minute Apgar score (RR=1.9 [95% CI 1.1-3.6]), and admission to neonatal care units (RR=2.1 [95% CI 1.2-2.7]). On the other hand, low birth weight was less frequent among obese women (RR=0.5 [95% CI 0.3-0.9]) while the risk was high among underweight women (RR=2.3 [95% CI 1.4-3.8]).

CONCLUSION

Even with adequate prenatal care, overweight and obesity can adversely affect pregnancy outcomes.

Prevalence of obesity in a Saudi obstetric population

OBJECTIVE

To estimate the prevalence of obesity and its determinants during the first month of gestation in Saudi women.

METHODS

Retrospective chart review of measured BMI in Al-Hassa, the largest province in Saudi Arabia, in 2007. Data were collected from records of 791 (72.6% of 1,089) pregnant women registered for prenatal care.

RESULTS

Height shows a normal Gaussian distribution, whereas weight is skewed positively (skewness of 0.77). The prevalence of underweight, normal weight, overweight, obesity, and extreme obesity (BMI > 40 kg/m(2)) were 8.5, 39.3, 23.6, 23.9, and 4.7%, respectively. Logistic regression revealed that the most important significant independent predictors of obesity are parity of 4 and more (odds ratio (OR) = 5.8) and urban residence (OR = 4.9).

CONCLUSION

Overweight, obesity, and extreme obesity are common (>52%) among pregnant women in Saudi Arabia. Health education to control body weight before pregnancy is warranted.

Cigarette smoking and risk of gestational diabetes: a systematic review of observational studies

BACKGROUND

Gestational diabetes is a prevalent disease associated with adverse outcomes of pregnancy. Smoking as been associated with glucose intolerance during pregnancy in some but not all studies. Therefore, we aimed to systematically review all epidemiological evidence to examine the association between cigarette smoking during pregnancy and risk of developing gestational diabetes mellitus.

METHODS

We conducted a systematic review of articles published up to 2007, using PubMed, Embase, LILACS e CINAHL to identify the articles. Because this review focuses on studies of smoking during pregnancy, we excluded studies evaluating smoking outside pregnancy. Two investigators independently abstracted information on participant's characteristics, assessment of exposure and outcome, and estimates for the association under study. We evaluated the studies for publication bias and performed heterogeneity analyses. We also assessed the effect of each study individually through sensitivity analysis.

RESULTS

We found and critically reviewed 32 studies, of which 12 met the criteria for inclusion in the review. Most of the studies provided only unadjusted measurements. Combining the results of the individual studies, we obtained a crude odds ratio of 1.03 (99% CI 0.85-1.25). Only 4 studies presented adjusted measurements of association, and no association was found when these alone were analyzed (OR 0.95; 99% CI 0.85-1.07). Subgroup analysis could not be done due to small sample size.

CONCLUSION

The number of studies is small, with major heterogeneity in research design and findings. Taken together, current data do not support an association between cigarette smoking during pregnancy and the risk of gestational diabetes.

A pilot study on the usefulness of body mass index and waist hip ratio as a predictive tool for gestational diabetes in Asian Indians

Gestational diabetes mellitus (GDM) is a common public health issue of pregnancy and women who have had GDM are at high risk for developing of diabetes mellitus Type-2. The aim of this study was to find the association between various clinical and biochemical parameters and GDM. One hundred and six consecutive patients who attended the out patient unit of department of gynecology, Kottayam Medical College, were enrolled in the study and followed up through the whole antenatal, intra-partum and post-partum periods to identify the obstetric outcome. We found that the prevalence of GDM was seven times higher in those with higher waist-hip ratio (WHR > 0.85) compared with those having a lower WHR (p < 0.001).Those with higher WHR gained more weight than other group (10.6 kg vs. 8.1 kg; p < 0.001). Obesity (BMI > or =23) and higher WHR were associated with increased risk of gestational diabetes (BMI > or =23: OR = 7.5, CI 95% = (1.61-34.31), p = 0.013; WHR > 0.85: OR = 12.05, CI 95% = (1.82-77.43), p = 0.007). We found that a WHR of 0.849 has the optimal sensitivity and specificity for the prediction of GDM. A waist circumference of 85.5 cm (with sensitivity of 75%, specificity 81.4%) and a BMI of 24.3 kg/m(2) (sensitivity 75%, specificity 86.5%) had the best predictive value. In conclusion, we found that maternal obesity has a strong correlation with obstetric complications. We found WHR is more important risk determinant for GDM in overweight/obese women than women with normal weight/lean.