Do trimester-specific cutoffs predict whether women ultimately stay within the Institute of Medicine/National Research Council guidelines for gestational weight gain? Findings of a retrospective cohort study

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.

The short-term effect of a mHealth intervention on gestational weight gain and health behaviors: The SmartMoms Canada pilot study

Gestational weight gain (GWG) has been shown to impact several maternal-infant outcomes. Since healthcare provider guidance on weight gain and healthy behaviors alone has failed to help women to meet guidelines during pregnancy, a practical adjunctive approach is to deliver evidence-based behavior change programs through mobile interventions. The present study aimed to assess the short-term effect of the SmartMoms Canada app to promote adequate GWG and healthy behaviors. Twenty-nine pregnant women were recruited in this app-based intervention trial to test whether a higher app usage (≥ 3.8 min·week^-1) between 12-20 gestational weeks and 24-28 gestational weeks improved GWG, diet, physical activity, and sleep, compared to women with a lower app usage (< 3.8 min·week^-1). Two-way mixed ANOVA for repeated measures was used to estimate the effect of the app usage and time, as well as their interaction on GWG and healthy behaviors. The likelihood ratio was used to examine the association between app usage categorization and GWG classification. Cramer's V statistic was used to estimate the effect size for interpretation of the association. Pregnant women using the SmartMoms Canada app more frequently had a higher moderate-to-vigorous physical activity (MVPA) daily average when compared with women with a lower usage (mean difference: 17.84 min/day, 95% CI: 2.44; 33.25). A moderate effect size (28.6% vs. 15.4%; Cramer's V = 0.212) was found for the association between app categorization and rate of GWG, representing a greater adherence to the GWG guidelines in women in the higher app usage group vs. the lower app usage group. Considering other physical activity, diet, and sleep variables, no app categorization effect was observed. A short-term higher usage of SmartMoms Canada app has a positive effect on objectively-measured MVPA.

Predicting the earliest deviation in weight gain in the course towards manifest overweight in offspring exposed to obesity in pregnancy: a longitudinal cohort study

BACKGROUND

Obesity in pregnancy and related early-life factors place the offspring at the highest risk of being overweight. Despite convincing evidence on these associations, there is an unmet public health need to identify "high-risk" offspring by predicting very early deviations in weight gain patterns as a subclinical stage towards overweight. However, data and methods for individual risk prediction are lacking. We aimed to identify those infants exposed to obesity in pregnancy at ages 3 months, 1 year, and 2 years who likely will follow a higher-than-normal body mass index (BMI) growth trajectory towards manifest overweight by developing an early-risk quantification system.

METHODS

This study uses data from the prospective mother-child cohort study Programming of Enhanced Adiposity Risk in CHildhood-Early Screening (PEACHES) comprising 1671 mothers with pre-conception obesity and without (controls) and their offspring. Exposures were pre- and postnatal risks documented in patient-held maternal and child health records. The main outcome was a "higher-than-normal BMI growth pattern" preceding overweight, defined as BMI z-score >1 SD (i.e., World Health Organization [WHO] cut-off "at risk of overweight") at least twice during consecutive offspring growth periods between age 6 months and 5 years. The independent cohort PErinatal Prevention of Obesity (PEPO) comprising 11,730 mother-child pairs recruited close to school entry (around age 6 years) was available for data validation. Cluster analysis and sequential prediction modelling were performed.

RESULTS

Data of 1557 PEACHES mother-child pairs and the validation cohort were analyzed comprising more than 50,000 offspring BMI measurements. More than 1-in-5 offspring exposed to obesity in pregnancy belonged to an upper BMI z-score cluster as a distinct pattern of BMI development (above the cut-off of 1 SD) from the first months of life onwards resulting in preschool overweight/obesity (age 5 years: odds ratio [OR] 16.13; 95% confidence interval [CI] 9.98-26.05). Contributing early-life factors including excessive weight gain (OR 2.08; 95% CI 1.25-3.45) and smoking (OR 1.94; 95% CI 1.27-2.95) in pregnancy were instrumental in predicting a "higher-than-normal BMI growth pattern" at age 3 months and re-evaluating the risk at ages 1 year and 2 years (area under the receiver operating characteristic [AUROC] 0.69-0.79, sensitivity 70.7-76.0%, specificity 64.7-78.1%). External validation of prediction models demonstrated adequate predictive performances.

CONCLUSIONS

We devised a novel sequential strategy of individual prediction and re-evaluation of a higher-than-normal weight gain in "high-risk" infants well before developing overweight to guide decision-making. The strategy holds promise to elaborate interventions in an early preventive manner for integration in systems of well-child care.

Prevention of Postpartum Weight Retention during One Year after Childbirth by Prenatal Nutrition Education: A Randomized Controlled Trial

Background:

It seems that 14–25% of the women retain at least 5 kg weight from 6 to 12 months after delivery and gestational weight gain is the most important reason of weight retention. Thus, we assessed the effect of prenatal nutrition education program on the retained weights at 8, 26, and 52 weeks after delivery in primiparous women.

Methods:

This randomized controlled trial was implemented among 192 primiparous pregnant women in five hospitals, fifteen community health centers, and fifteen private offices. Self-developed questionnaire was used to collect the participants’ characteristics. A 72-hr dietary recall was applied to evaluate the food intakes before and after intervention. The pregnancy physical activity questionnaire determined the physical activity score. The participants’ weights at 8, 26, and 52 weeks after delivery were measured by a digital beam.

Results:

The means of postpartum weight decreased in both groups, but nutrition education was significantly effective on reducing postpartum weight in intervention group (β = -3.112, SE =. 7384, P < 0.001). Also, the women in intervention group had less retained weight compared to control during the follow-up (β = -3.35, SE = 0.75, p < 0.001). The proportion of pregnant women in intervention group who reached to their pre-gravid weight was more than control during the follow-up (OR = 2.86, 95% CI: 1.62, 5.07).

Conclusions:

Nutrition education considering an individualized calorie-appropriate diet for each pregnant woman and based on the national guideline is effective on postpartum weight retention and reaching to pre-gravid weight.

Does Excess First- or Second-Trimester Weight Gain Predict Excess Total Gestational Weight Gain? A Multicentre Prospective Cohort Study

OBJECTIVES

Early excess gestational weight gain (GWG) has been examined as a predictor of total excess GWG in a few international studies; however, Canadian data are lacking. We sought to determine whether early (first- and second-trimester) excess GWG predicted total excess GWG.

METHODS

We conducted an a priori planned secondary analysis of a multicentre prospective study of English-speaking Ontario women with a singleton pregnancy between 8⁰ and 20⁶ weeks gestation. Our primary outcome was prediction of total excess GWG. We calculated the sensitivity, specificity, predictive values, and likelihood ratios, by body mass index (BMI), for excess first- and second-trimester GWG.

RESULTS

Of the 970 women who met the inclusion criteria, 387 and 754, had first- and second-trimester weights recorded in their antenatal record, respectively. For normal, overweight, and obese women, the sensitivity of excess first-trimester GWG for total excess gain was 66%, 68%, and 65%, respectively; and the specificity was 48%, 43%, and 36%, respectively. The sensitivity of excess second-trimester GWG for total excess gain for normal weight, overweight, and obese women was higher, at 92%, 96%, and 95%, respectively; while the specificity was low at 31%, 16%, and 29%, respectively.

CONCLUSION

In the first known Canadian study of early excess weight gain as the predictor of total GWG, we found that excess first-trimester GWG did not predict total excess GWG, but that the sensitivity of excess second-trimester GWG for excess total GWG was high across BMI categories.

Monitoring gestational weight gain and prepregnancy BMI using the 2009 IOM guidelines in the global population: a systematic review and meta-analysis

BACKGROUND

Previous studies have reported a high prevalence of excessive gestational weight gain (GWG) in women with prepregnancy BMI classified as overweight and obese. However, the joint evidence regarding GWG and prepregnancy BMI in the worldwide population has not been synthesized. Thus, this systematic review and meta-analysis aimed to estimate global and regional mean GWG and the prevalence of GWG above, within and below 2009 Institute of Medicine (IOM) guidelines. Second, we aimed to estimate global and regional prepregnancy BMI and the prevalence of BMI categories according to World Health Organization (WHO) classification.

METHODS

We searched Medline, Embase, the Cochrane Library and Web of Science to identify observational studies until 9 May 2018. We included studies published from 2009 that used 2009 IOM guidelines, reporting data from women in general population with singleton pregnancies. The 2009 IOM categories for GWG and the WHO categories for prepregnancy BMI were used. DerSimonian and Laird random effects methods were used to estimate the pooled and their respective 95% confidence intervals (95% CIs) of the mean and by category rates of GWG and prepregnancy BMI, calculated by global and regions.

RESULTS

Sixty-three published studies from 29 countries with a total sample size of 1,416,915 women were included. The global prevalence of GWG above and below the 2009 IOM guidelines, was 27.8% (95% CI; 26.5, 29.1) and 39.4% (95% CI; 37.1, 41.7), respectively. Furthermore, meta-regression analyses showed that the mean GWG and the prevalence of GWG above guidelines have increased. The global prevalence of overweight and obesity, was 23.0% (95% CI; 22.3, 23.7) and 16.3% (95% CI; 15.4, 17.4), respectively. The highest mean GWG and prepregnancy BMI were in North America and the lowest were in Asia.

CONCLUSIONS

Considering the high prevalence of GWG above the 2009 IOM guidelines and women with overweight/obesity and their continuously increasing trend in most regions, clinicians should recommend lifestyle interventions to improve women's weight during reproductive age. Due to regional variability, these interventions should be adapted to each cultural context.

TRIAL REGISTRATION

Prospectively registered with PROSPERO ( CRD42018093562 ).

Minimization of bias in measures of gestational weight gain

Gestational weight gain (GWG) is an important predictor of adverse pregnancy outcomes including gestational diabetes, preterm birth, delivery by caesarean and post-partum weight retention. The Institute of Medicine guidelines on GWG are widely adopted, and GWG is widely researched as an outcome of interest in lifestyle interventions during pregnancy. However, estimation of prepregnancy weight and measurement of weight prior to delivery introduce bias into measures of GWG. This review discusses the sources of bias in measures of GWG and the potential effect of bias on the relationship between adverse pregnancy outcomes associated with GWG. Bias in measures of GWG can be minimized by using measured weight at the first antenatal appointment in early pregnancy rather than self-reported prepregnancy weight and by adjusting for gestational age when the last weight is collected earlier than the delivery date. Bias owing to gestational age is an important potential confounder in the relationship between GWG and adverse pregnancy outcomes.

The Association Between Trimester-Specific Weight Gain and Severe Preeclampsia/Adverse Perinatal Outcome in Gestational Diabetes Mellitus Complicated by Preeclampsia: A Retrospective Case Study

INTRODUCTION

Gestational diabetes mellitus (GDM) and preeclampsia share many risk factors, e.g., gestational weight gain (GWG). Previous studies on the co-occurrence of these two diseases cannot powerfully clear up the effects of GWG on perinatal outcome.

METHODS

A total of 329 pregnant women with GDM complicated by preeclampsia were enrolled. Clinical data of mothers and newborns were retrospectively analyzed, including baseline characteristics of pregnant women and pregnancy outcomes. We focused on the association between trimester-specific weight gain and severe preeclampsia (s-PE)/adverse perinatal outcomes in GDM complicated by preeclampsia, including cesarean section (C-sect), preterm birth, and large for gestational age birth (LGA). Regression analysis was used to adjust the impact of confounding factors, including height, age, parity, scarred uterus, and so on.

RESULT

By unconditional regression analysis, middle trimester excessive GWG is a risk factor for LGA [OR 6.586, 95% CI (2.254-19.242), AOR 6.481, 95% CI (2.213-18.981)]; late excessive GWG is a risk factor for s-PE and C-sect [OR 1.683, 95% CI (1.084-2.614), AOR 1.888, 95% CI (1.193-2.990); and OR 1.754, 95% CI (1.121-2.744), AOR 1.841, 95% CI (1.153-2.937)], excessive total GWG is a risk factor for LGA, and is a protective factor for the preterm [OR 5.920, 95% CI (2.479-14.139), AOR 5.602, 95% CI (2.337-13.431); and OR 0.448, 95% CI (0.248-0.841), AOR 0.429, 95% CI (0.235-0.783)].

CONCLUSIONS

The trimester-specific weight gain has a significant impact on the perinatal outcomes among pregnant women with both GDM and preeclampsia. This study is helpful for carry out risk monitoring in time, identifying early warning signs, and improving maternal and infant health.

Impact of Gestational Weight Gain on Cesarean Delivery Risk, Perinatal Birth Weight and Gestational Age in Women with Normal Pre-pregnancy BMI

Background

Gestational weight gain (GWG) proportional to body mass index before pregnancy is one of the factors on maternal and neonatal outcomes. The aim of the current study was to assess association between GWG, and cesarean section, birth weight and gestational age at birth in women with normal BMI prior to pregnancy.

Methods

This was a cross-sectional study carried out in 103 hospitals in Tehran, the capital of Iran, from July 6 to 21, 2015. The data were extracted by 103 trained midwives. Finally, 2394 pregnant women with normal BMI before pregnancy and singleton birth were examined. GWG was categorized based on Institute of Medicine (IOM) recommendations.

Results

Prevalence of low birth weight (LBW) was 5.41% and prevalence of macrosomia was 2.18%. The prevalence of LBW in women with GWG less than the weight gain recommended by IOM was 2.13 times [95% confidence interval (CI) 1.13-4.02, P = 0.019] more than in women with GWG equal to the weight gain recommended by IOM. There was no statistically significant difference in the prevalence of LBW between women with GWG more than recommended weight gain by IOM and women with GWG equal to the weight gain recommended by IOM (OR = 1.21, 95% CI 0.61-2.38, P = 0.580).

Conclusion

After controlling for confounding variables, the prevalence of cesarean section and preterm birth had no significant difference at various levels of GWG. Accordingly, the prevalence of LBW among women with GWG less than the recommended weight gain by IOM was significantly 2.13 more than that among women with GWG equal to the recommended weight gain by IOM.

Early Second Trimester Weight Gain in Obese Women Predicts Excessive Gestational Weight Gain in Pregnancy

OBJECTIVE

To assess gestational weight gain (GWG) in obese women to determine an inflection point that identifies women at risk for excessive weight gain.

STUDY DESIGN

This is an observational prospective cohort study of pregnancies managed through the UC San Diego Maternal Weight and Wellness Program from 2011 to 2014. The primary outcome was total gestational weight gain. GWG was categorized as inadequate (<11 pounds), adequate (11-20 pounds), and excessive (>20 pounds) based on Institute of Medicine (IOM) recommendations. Other outcomes were GWG by trimester and postpartum weight retention. Bivariate and multivariate analyses were used to assess factors associated with GWG.

RESULTS

Ninety-five patients had a mean prepregnancy body mass index (BMI) of 41.9 ± 8.9 kg/m(2) and a net weight gain of 21.9 ± 19 pounds. First trimester GWG was -0.3 ± 4.9 pounds, second trimester was 10.4 ± 10.8 pounds, and third trimester was 11.4 ± 8.5 pounds for all participants. Women who exceeded IOM recommendations accelerated weight gain at 12-14 weeks and gained a majority of weight during the second trimester. Weight gain of more than two pounds at 12-14 weeks had a 96 % positive predictive value (95 % CI 79-99) for excessive GWG. Postpartum women with excessive GWG retained more weight than those with inadequate GWG (10.7 ± 15.6 pounds compared with -13.6 ± 10.9 pounds, P < 0.001). On multiple linear regression GWG by trimester was predictive of total GWG with second and third trimester GWG having the greatest effect on total GWG. Prepregnancy BMI and gestational diabetes were not predictors of total GWG.

CONCLUSIONS

Obese women at risk for excessive GWG may be identified as early as 12-14 weeks and gain most weight during the second trimester. GWG less than 11 pounds resulted in significant postpartum weight loss among obese women.

Food intake and gestational weight gain in Swedish women

Background

The objective of this study was to investigate if food intake (dairy, snacks, caloric beverages, bread, cheese, margarine/butter, potato/rice/pasta/grains, red meat, fish and fruit/berries/vegetables) is associated with gestational weight gain (GWG) in Swedish women.

Methods

Four day food records from 95 pregnant Swedish women were collected in the last trimester. GWG was calculated as weighed body weight in the last trimester (median gestational week 36) minus self-reported pre-pregnancy body weight. Excessive GWG was defined according to the guidelines by the Institute of Medicine. Food groups tested for association with GWG were dairy (milk, yoghurt and sour milk), snacks (sweets, crisps, popcorn, ice cream and cookies, but not nuts and seeds), caloric beverages (soft drinks, juice, lemonade and non-alcoholic beer), bread, cheese, margarine/butter, potato/rice/pasta/grains, red meat, fish and fruit/berries/vegetables.

Results

Median (lower–upper quartiles) GWG was 12.1 kg (10.0–15.3). In total, 28 % had an excessive GWG. Excessive GWG was most common among pre-pregnancy overweight and obese women, where 69 % had an excessive GWG. Median daily intake of fruits and vegetables was 352 g (212–453), caloric beverages was 238 g (100–420) and snacks was 111 g (69–115). Multivariable linear regression analysis showed that intake of caloric beverages, snacks, fish, bread and dairy in the last trimester of pregnancy were positively related to GWG (R² = 0.32). Multivariable logistic regression analysis showed that intake of caloric beverages, snacks, fish, and bread was associated with higher odds ratios for excessive GWG.

Conclusion

Intake of caloric beverages, snacks, fish and bread were positively related to excessive GWG. Thus, these results indicate that maternal dietary intake should be given higher attention in the antenatal care.

Effect of a CGMS and SMBG on Maternal and Neonatal Outcomes in Gestational Diabetes Mellitus: a Randomized Controlled Trial

In this study, we sought to investigate the effects of a continuous glucose monitoring system (CGMS) on maternal and neonatal outcomes. A total of 106 women with gestational diabetes mellitus (GDM) in gestational weeks 24–28 were randomly allocated to the antenatal care plus CGMS group or the self-monitoring blood glucose (SMBG) group. The CGMS group was subdivided into early and late subgroups. There were no significant differences in prenatal or obstetric outcomes, e.g., caesarean delivery rate, Apgar score at 5 min, macrosomia or neonatal hypoglycaemia, between the CGMS and SMBG groups. The CGMS group had lower glycated haemoglobin (HbA1C) levels than the SMBG group; however, the difference was not statistically significant. The proportion of GDM women with excessive gestational weight gain was lower in the CGMS group than in the SMBG group (33.3% vs. 56.4%, P = 0.039), and women who initiated CGMS earlier gained less weight (P = 0.017). The mode of blood glucose monitoring (adjusted OR 2.40; 95% CI 1.030–5.588; P = 0.042) and pre-pregnancy BMI (adjusted OR 0.578; 95% CI 0.419–0.798; P = 0.001) were independent factors for weight gain. In conclusion, early CGMS for GDM mothers reduces gestational weight gain. A follow-up study with a large cohort is needed.

Psychological factors and trimester-specific gestational weight gain: a systematic review

Excess gestational weight gain (GWG), which has reached epidemic proportions, is associated with numerous adverse pregnancy outcomes. Early pregnancy provides a unique opportunity for counseling pregnant women since many women are motivated to engage in healthy behaviors. A systematic review was conducted to summarize the relation between psychological factors and trimester-specific GWG, i.e. GWG measured at the end of each trimester. Eight databases were searched for affect, cognition and personality factors. The guidelines on meta-analysis of Observational Studies in Epidemiology were followed. The methodological quality of each study was assessed using a modified Newcastle-Ottawa Scale. Of 3620 non-duplicate titles and abstracts, 74 articles underwent full-text review. Two cohort studies met the inclusion criteria. Distress was negatively associated with first trimester GWG among both adolescents and non-adolescents. Body image dissatisfaction was associated with second trimester GWG only among non-adolescents. No association emerged between perceived stress, state and trait anxiety and body image dissatisfaction among adolescents and trimester-specific GWG. The relation between trimester-specific GWG and a number of weight-related and dietary-related cognitions, affective states and personality traits remain unexplored. Given the limited number of studies, further high-quality evidence is required to examine the association between psychological factors and trimester-specific GWG, especially for cognitive and personality factors.

Improving gestational weight gain counseling through meaningful use of an electronic medical record

The purpose of this study was to test the effectiveness of an intervention to improve the consistency and accuracy of antenatal gestational weight gain counseling through introduction of a "best practice alert" into an electronic medical record (EMR) system. A best practice alert was designed and implemented in the EMR. Based on each patient's pre-gravid body mass index (BMI), fetal number, and 2009 Institute of Medicine (IOM) guidelines, the alert provides an individualized total gestational weight gain goal, the weight gain goal per week of gestation, a template for scripted provider counseling and documentation, and a patient handout containing personalized gestational weight gain information. Retrospective chart reviews of 388 pre-intervention patients and 345 post-intervention patients were used to evaluate effectiveness. Introduction of a gestational weight gain best practice alert into the EMR improved the rate of antenatal gestational weight gain counseling that was consistent with current IOM guidelines (p < 0.001). Improvement in IOM-consistent gestational weight gain counseling was seen across all provider types, including obstetricians, family practice physicians, and certified nurse midwives. The intervention also resulted in significant improvement in documentation of pre-gravid weights and BMIs within the EMR. The EMR is an effective tool for improving the consistency and accuracy of antenatal gestational weight gain counseling in accord with 2009 IOM guidelines.

Prepregnancy Body Mass Index and Gestational Weight Gain Have No Negative Impact on Maternal or Neonatal Iron Status

OBJECTIVE

To assess the impact of maternal obesity and excessive gestational weight gain (GWG) on maternal and neonatal iron status and to explore the possible mediating role of inflammation on hepcidin.

METHODS

This analysis included 230 pregnant adolescents (13-18 years) enrolled in either a longitudinal or a cross-sectional study. Prepregnancy body mass index (ppBMI) and GWG were obtained from medical records. Maternal iron status (hemoglobin, serum iron, ferritin, transferrin receptor, total body iron, and hepcidin) and inflammation (interleukin-6 [IL-6] and leptin) were assessed at midgestation (26.2 ± 3.3 weeks) in the longitudinal cohort and at delivery (39.8 ± 1.3 weeks) in both study cohorts. Cord blood was collected in both studies and analyzed for iron indicators.

RESULTS

Approximately 40% of the adolescents entered pregnancy overweight or obese. Multivariate analysis identified ppBMI as a negative predictor of serum iron at midgestation (P = .009) and a positive predictor of serum hepcidin at delivery (P = .02). None of the other maternal iron status indicators were significantly associated with ppBMI or GWG. Serum IL-6 was significantly positively associated with hepcidin at delivery (P = .0001) but not at midgestation. There was a positive relationship between ppBMI and cord hemoglobin (P = .03).

CONCLUSION

These results suggest that adiposity-related inflammation does not override the iron-mediated signals that regulate hepcidin production during pregnancy, and in this adolescent cohort, there is no strong evidence for a detrimental effect of maternal obesity and excessive weight gain on iron status in the offspring at birth.

Gestational Weight Gain and Overweight in Children Aged 3-6 Years

Objective

To determine whether gestational weight gain (GWG) was associated with increased odds of childhood overweight after accounting for pre-pregnancy BMI.

Methods

In a prospective cohort study based on a premarital and perinatal health care system in China, data of 100 612 mother-child pairs were obtained. The main exposure was GWG as both a continuous and categorical variable. The outcome measure was overweight, defined by age- and sex-specific cutoff values for body mass index (BMI) in children aged 3–6 years.

Results

A 1-kg increase in maternal GWG was associated with an increase of 0.009 (95% confidence interval [CI]: 0.007–0.010, P < 0.001) in children’s mean BMI; in the subgroup of pre-pregnancy overweight/obese mothers, the increase in children’s BMI was 0.028 (95% CI, 0.017–0.039, P < 0.001). Excessive GWG played an important role in childhood overweight when adequate GWG was used as the reference, with an odds ratio (OR) of 1.21 (95% CI, 1.12–1.29). The risk was highest (OR 2.22; 95% CI, 1.79–2.76) in the children of mothers who were overweight/obese before pregnancy and gained excessive weight during pregnancy.

Conclusions

Greater maternal GWG was associated with greater offspring BMI, and the risk of overweight was doubled in children whose mothers were overweight/obese before pregnancy and gained excessive weight during pregnancy. As a result, maintenance of appropriate weight gain during pregnancy and prophylaxis of maternal overweight/obesity before pregnancy should be a strategy for preventing childhood overweight/obesity.

Differences in gestational weight gain between pregnancies before and after maternal bariatric surgery correlate with differences in birth weight but not with scores on the body mass index in early childhood

BACKGROUND

Large maternal gestational weight gain (GWG) is associated with increased birth weight and increased risk of obesity in offspring, but these associations may be confounded by genetic and environmental factors. The aim was to investigate the effects of differences in GWG in all three trimesters on differences in birth weight and in body mass index (BMI) scores at 4 and 6 years of age, within siblings born before and after bariatric surgery.

METHOD

Women with at least one child born before and one after bariatric surgery were identified in national Swedish registers. Series of weight (and height) measurements were collected from antenatal medical records, with data on the nearest pregnancies before and after bariatric surgery.

RESULTS

The age-adjusted means of pre- and post-operative GWG of 124 women were 11.3 (standard deviation [SD] 7.2) and 8.3 (SD 6.4) kg, respectively (P = 0.01). Adjusted fixed effects regression models showed positive associations of differences in mean total GWG with differences in siblings' birth weight, 0.023 kg per 1-kg greater weight gain (95% confidence interval [CI]: 0.014-0.069) and for second trimester 0.53 kg for each 1-kg greater weight per week (95% CI: 0.32-1.61), whereas no associations were found with BMI in pre-school age.

CONCLUSION

This study showed positive associations between differences in total and second trimester maternal GWG and differences in children's birth weight, but no association with BMI scores in pre-school age. Maternal genetic, social and lifestyle factors fixed from one pregnancy to the next were taken into account in the analyses by the study design.

Effects of trimester-specific and total gestational weight gain on children's anthropometrics

BACKGROUND

Gestational weight gain (GWG) has been shown to be a risk factor for overweight in offspring.Aim of this study was to quantify the contributions of trimester-specific and total GWG on offspring's BMI and waist circumference (WC). This is of interest for the design of interventions targeted at women showing a high GWG in early pregnancy.

METHODS

In a retrospective cohort study data on GWG (total and by trimester, exposure), a number of potential confounders, and children's BMI z-scores and WC (outcomes) were analyzed using structural equation models to disentangle the trimester-specific direct effects of GWG and indirect effects mediated via total GWG.

RESULTS

7313 mother child pairs with a children's mean age of 5.81 years were analyzed. Total effects (indirect + direct) of GWG (kg/week) on children's BMI z-score and WC (cm) were observed in all trimesters, most prominently in the second. The longitudinal effect of GWG is a composite of trimester-specific direct effects (on BMI: 0.105, 0.255, 0.002, on WC: 0.538, 1.64, 0.308) and total GWG (on BMI 0.608, on WC: 1.03) at the end of pregnancy.

CONCLUSIONS

Both trimester-specific priming and total GWG explained offspring's anthropometrics. The results indicate, that reversal from additional weight gain attained early in pregnancy resulting in normal total GWG at the end of pregnancy might still contribute to a substantial reduction of offspring's BMI and WC.

Overweight and Obesity before, during and after Pregnancy: Part 2: Evidence-based Risk Factors and Interventions

Overweight and obesity have become a global health problem. Obesity and excessive weight gain during pregnancy have a serious impact on maternal, fetal and neonatal outcomes. Pre-conceptional obesity and excessive weight gain during pregnancy are associated with weight gain in women following childbirth leading to associated risks such as metabolic syndrome, cardiovascular disease and diabetes. Long-term risks for the offspring are an increased risk for early cardiovascular events, metabolic syndrome and decreased life expectancy as adults. German health care has not yet adequately responded to this development. There are no clinical guidelines for obesity before, during or after pregnancy, there are no concerted actions amongst midwives, obstetricians, health advisors, politicians and the media. Research projects on effective interventions are lacking although health care concepts would be urgently needed to reduce future metabolic and cardiovascular risks for women and children as well as to minimize the associated costs for the society.

Prediction of excessive gestational weight gain from week-specific cutoff values: a cohort study

OBJECTIVE

To assess the prognostic validity of the Institute of Medicine/National Research Council (IOM/NRC) week-specific cutoff values for inadequate or excessive total gestational weight gain (GWG) by 4-week intervals.

STUDY DESIGN

We merged data from two German cohorts (LMU cohort (all maternal-weight categories) and PEACHES cohort (obese women)) to provide information on GWG for 749 women (365 normal weight, 199 overweight and 185 obese). We calculated the prognostic values for suboptimal and excessive GWG according to the IOM/NRC cutoff values.

RESULT

The positive predictive values for excessive total GWG for those who experienced excessive GWG early in pregnancy was 70.1% (95% confidence interval (CI) 60.5; 78.6) as of week 12/1 to 16/0 in normal-weight women, 89.5% (95% CI 75.2; 97.1) and 95.2 (76.2; 99.9) 95.2% (95% CI 76.2; 99.9) as of week 8/1 to 12/0 for overweight and obese women, respectively. In absence of excessive GWG as of week 12/1 to 16/0, normal-weight women had 77.5% (95% CI 77.1; 83.1) probability of not experiencing excessive total GWG (negative predictive value). In overweight and obese women, the negative predictive value was considerably lower up to week 24/1 to 28/0 (60.0% (95% CI 48.8; 70.5) in week 20/1 to 24/0 and 50.6% (95% CI 39.3; 61.9) in week 24/1 to 28/0). Most women with inadequate GWG in the first and second trimester had adequate total final GWG (positive predictive value for total inadequate GWG <50% up to week 16/1 to 20/0 in all groups).

CONCLUSION

As women with excessive weight gain can be identified with high confidence if the GWG exceeds the IOM/NRC week-specific cutoff values, interventions may be initiated early in pregnancy.

Gestational diabetes predicts the risk of childhood overweight and abdominal circumference independent of maternal obesity

AIM

Gestational diabetes mellitus is believed to be a risk factor for childhood overweight/obesity. We aimed to assess whether this association is either a reflection or independent of confounding by maternal BMI.

METHODS

Data from 7355 mother-child dyads of the German Perinatal Prevention of Obesity cohort with full anthropometric information on mothers and children, gestational diabetes and confounding factors were obtained at school entry health examination. We calculated crude and adjusted logistic regression models for the association of gestational diabetes and childhood overweight/obesity and abdominal adiposity defined by age- and sex-specific percentiles for BMI and waist circumference.

RESULTS

Among all children (mean age 5.8 years), 8.1% were overweight, 2.6% were obese and 15.5% had abdominal adiposity. The prevalence of overweight (obesity) was 21% (8.2%) in children of mothers with gestational diabetes and 10.4% (2.4%) in children of healthy mothers. Analyses with adjustment for maternal BMI and other potential confounders yielded an odds ratio of 1.81 (95% CI 1.23-2.65) and 2.80 (95% CI 1.58-4.99) for the impact of gestational diabetes on childhood overweight and obesity, respectively. Similar results were obtained for the risk of childhood abdominal adiposity (odds ratio 1.64, 95% CI 1.16-2.33) by maternal gestational diabetes.

CONCLUSIONS

The postulated increased risk of overweight and abdominal adiposity in offspring of mothers with gestational diabetes cannot be explained by maternal BMI alone and may be stronger for childhood obesity than for overweight.

The influence of weight gain patterns in pregnancy on fetal growth using cluster analysis in an obese and nonobese population

OBJECTIVE

Excessive weight gain during pregnancy has an important influence on fetal growth and on weight development in future generations.

DESIGN AND METHODS

A prospective cohort study of 325 obese and nonobese Caucasian women with naturally conceived, singleton pregnancies was performed. They were followed up until delivery for maternal weight gain and for fetal growth with ultrasound-based weight estimations and final birth weight. Using cluster analysis distinct profiles of maternal weight gain during pregnancy were obtained. Longitudinal regression analysis was performed to investigate the relationship of the maternal weight gain profile and BMI on fetal growth and final birth weight.

RESULTS

Cluster analysis revealed four discernable maternal weight gain profiles: 12 cases (3.7%) ended up at their starting weight or decreased in weight (cluster 1), 16 cases (4.9%) who slightly increased in weight (maximum 4 kg) as compared to their initial weight (cluster 2), 114 cases (35.1%) who gained between 4 and 12 kg in weight (cluster 3), and 183 cases (56.3%) who showed the largest weight gain: more than 12 kg (cluster 4). There were statistically significant differences in fetal growth associated with weight gain cluster, which became apparent late in the second trimester and increased toward the end of pregnancy. Maternal BMI and maternal weight gain profile were independent predictors of fetal growth and birth weight.

CONCLUSIONS

Therefore, the conclusion is that the cluster analysis permits to discern four gestational weight gain (GWG) patterns in obese and nonobese subjects and that both maternal BMI and maternal weight gain pattern during pregnancy positively influence fetal growth and birth weight.

Gestational weight gain in accordance to the IOM/NRC criteria and the risk for childhood overweight: a meta-analysis

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT

Gestational weight gain is a modifiable risk factor for childhood overweight.

WHAT THIS STUDY ADDS

Exceeding the recommended gestational weight gain increases the risk for childhood overweight by about 30%. Interventions to avoid excessive weight gain are needed.

BACKGROUND

Overweight and obesity in children are thought to be related to prenatal priming. Gestational weight gain (GWG) might be a potential modifiable risk factor for childhood overweight.

OBJECTIVE

To quantify the associations of inadequate and excessive GWG with childhood overweight.

METHODS

The electronic literature search in six databases was complemented by a hand search for relevant articles. Papers were selected and quality was assessed. The effect estimates of the individual studies were pooled using a random-effects model.

RESULTS

The literature search yielded 1492 results in total, of which seven observational studies met the inclusion criteria. The studies had medium to good quality. The pooled estimate for the association between excessive GWG and childhood overweight yielded an odds ratio (OR) of 1.38 (95% confidence interval [CI]: 1.21-1.57). The association between inadequate GWG and childhood overweight yielded an OR of 0.91 (95% CI: 0.85-0.98).

CONCLUSION

These data provide evidence for at least a 21% risk for childhood overweight related to excessive GWG. Therefore, further efforts to design appropriate interventions against excessive GWG may appear warranted.

Late pregnancy reversal from excessive gestational weight gain lowers risk of childhood overweight--a cohort study

OBJECTIVE

Whether reversal to adequate gestational weight gain (GWG) in the third trimester reverses the risk for childhood overweight associated with excessive GWG is assessed.

DESIGN AND METHODS

In a retrospective cohort study in 6,665 mother-child pairs, pre-pregnancy weight and the temporal course of GWG were collected from medical records. Overweight as defined by International Obesity Task Force was assessed at a mean age of 5.8 years. Main exposures were exceeding week-specific cut-off values for GWG in the third trimester or any previous trimester. Logistic regression models, adjusted for possible confounding factors, were used to predict the risk of childhood overweight from excessive GWG in the third trimester with stratification by excessive GWG in previous trimesters.

RESULTS

In the final model, women who avoided excessive GWG in the third trimester had children with a 31% (odds ratio [OR]: 0.69, 95% confidence interval [CI]: 0.59, 0.82) lower probability being overweight. A similar association was observed for reversing from excessive GWG in the first or second trimester to normal GWG in the third trimester: 27% (OR: 0.73, 95% CI: 0.53, 0.99).

CONCLUSIONS

Avoidance of excessive GWG in the third trimester is associated with lower risk of childhood overweight even in case of excessive GWG in the first or second trimester.

Optimizing healthy gestational weight gain in women at high risk of gestational diabetes: a randomized controlled trial

OBJECTIVE

Optimizing gestational weight gain (GWG) in early pregnancy is of clinical and public health importance, especially in higher risk pregnancies.

DESIGN AND METHODS

In a robustly designed, randomized controlled trial, 228 pregnant women at risk of developing gestational diabetes mellitus (GDM) were allocated to either control (written health information only) or intervention (four-session lifestyle program). All women received standard maternal care. Measures were completed at 12-15 and 26-28 weeks gestation. Measures included anthropometrics (weight and height), physical activity (pedometer and International Physical Activity Questionnaire), questionnaires (risk perception), and GDM screening.

RESULTS

The mean (SD) age [31.7 (4.5) and 32.4 (4.7) years] and body mass index [BMI; 30.3 (5.9) and 30.4 (5.6) kg/m(2) ] were similar between control and intervention groups, respectively. By 28 weeks, GWG was significantly different between control and intervention groups [6.9 (3.3) vs. 6.0 (2.8) kg, P < 0.05]. When stratified according to baseline BMI, overweight women in the control group gained significantly more weight compared to overweight women in the intervention group [7.8 (3.4) vs. 6.0 (2.2) kg, P < 0.05], yet in obese women, GWG was similar in both groups. Physical activity levels declined by 28 weeks gestation overall (P < 0.01); however, the intervention group retained a 20% higher step count compared to controls [5,203 (3,368) vs. 4,140 (2,420) steps/day, P < 0.05]. Overall, GDM prevalence was 22.8% [Corrected], with a trend toward less cases in the intervention group (P = 0.1).

CONCLUSIONS

Results indicate that a low-intensity lifestyle intervention, integrated with antenatal care, optimizes healthy GWG and attenuates physical activity decline in early pregnancy. Efficacy in limiting weight gain was greatest in overweight women and in high-risk ethnically diverse women.

Socio-demographic and obstetrical correlates of pre-pregnancy body mass index and gestational weight gain

Both pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) are important determinants of a healthy pregnancy outcome and may show important variation. To study the influence of socio-demographic and obstetrical correlates on pre-pregnancy BMI and GWG, data of 54 022 singleton term pregnancies were analysed using adjusted regression models. In 2009, in the Northern region of Belgium, one-third of women were overweight (21.6%) or obese (10.1%) and GWG as recommended by the Institute of Medicine occurred in only 28% of obese women. A high pre-pregnancy BMI was significantly associated with low maternal education, high maternal age and multiparity, belonging to ethnic minority groups and a lower professional state. Compared to adequate GWG, excessive GWG was more common in younger (<20 years) women, with higher pre-pregnancy BMI and pregnancy-induced hypertension. Moreover, younger (20-24 years), single women, belonging to ethnic minority groups showed higher odds for excessive as well as insufficient GWG, while those with high/highest educational level had lower odds for excessive (odds ratio [OR] 0.76; confidence interval [CI] 0.72-0.80) and insufficient (OR 0.93; CI 0.89-0.98) GWG. The results of this study highlight the scale of the problem of maternal obesity and excessive GWG for this region and offer opportunities to target educational campaigns and intervention programmes in the clinical setting.