Reducing excessive gestational weight gain: lessons from the weight control literature and avenues for future research

Pregnant women's dietary patterns and knowledge of gestational weight gain: A cross-sectional study

OBJECTIVE

Excess gestational weight gain (GWG) is a risk factor for various unfavorable maternal and neonatal outcomes that may be preventable. Maintaining a healthy lifestyle while pregnant can help prevent uncontrollable weight gain. The aim of this study was to assess pregnant women's knowledge on weight, GWG, diet, and knowledge of obesity-related complications among women who seek care at our semi-urban, regional setting.

METHODS

A prospective observational study was conducted at the prenatal clinic at Kalafong Academic Hospital. Prospective participants completed a questionnaire on their perception of GWG, attitudes toward GWG, knowledge of GWG, associated complications of obesity, and food choices. Data analysis was performed using SAS version 9.4.

RESULTS

The majority of the 500 individuals were overweight or obese prior to pregnancy. By the end of the third trimester, this increased by 10.1% (n = 420; 86.1%). Nearly half (n = 240; 48.78%) of the overweight and obese women underestimated their weight. Only 26.53% (n = 26) of women who checked their body mass index (BMI, calculated as weight in kilograms divided by the square of height in meters) gained weight according to recommendations. However, less than half (n = 96; 30.5%) gained weight within the recommended range, despite the fact that the majority of them (n = 315; 64%) were aware of the harmful effects of obesity on the cardiovascular system and the effects of high calories on weight gain (n = 321; 65%).

CONCLUSION

Despite basic knowledge of the impact of high-caloric intake on weight gain and cardiovascular complications, less than half of the study population gained weight within the recommended range.

Intrinsic motivation for physical activity, healthy eating, and self-weighing in association with corresponding behaviors in early pregnancy

Healthy lifestyle behaviors influence maternal cardiovascular health, but motivation for them in pregnancy is poorly understood. We examined whether intrinsic motivation (assessed on 5-point scales for each behavior) is associated with three lifestyle behaviors in early pregnancy: physical activity, by intensity level; healthy eating, quantified with the Alternate Healthy Eating Index for Pregnancy (AHEI-P); and weight self-monitoring, a standard weight management technique. Participants in the Northern California Pregnancy, Lifestyle and Environment Study (PETALS) population-based cohort completed validated surveys in early pregnancy (2017-18; N = 472; 22 % Asian, 6 % Black, 30 % Hispanic, 13 % multiracial, 30 % White). Cross-sectional data were analyzed in 2021-22. Overall, 40.7 % (n = 192) met United States national physical activity guidelines; the average AHEI-P score was 62.3 out of 130 (SD 11.4); and 36.9 % reported regular self-weighing (≥once/week; n = 174). In models adjusted for participant characteristics, 1-unit increases in intrinsic motivation were associated with increased likelihood of meeting physical activity guidelines (risk ratio [95 % CI]: 1.66 [1.48, 1.86], p < 0.0001); meeting sample-specific 75th percentiles for vigorous physical activity (1.70 [1.44, 1.99], p < 0.0001) and AHEI-P (1.75 [1.33, 2.31], p < 0.0001); and regular self-weighing (2.13 [1.92, 2.37], p < 0.0001). A 1-unit increase in intrinsic motivation lowered the risk of meeting the 75th percentile for sedentary behavior (0.79 [0.67, 0.92], p < 0.003). Intrinsic motivation was not associated with reaching 75th percentiles for total, light, or moderate activity. Intrinsic motivation is associated with physical activity, healthy eating, and self-weighing among diverse individuals in early pregnancy. Results can inform intervention design to promote maternal health via increased enjoyment of lifestyle behaviors.

Maternal body mass index and risk of fetal overgrowth in women with gestational diabetes Mellitus in Southeast China: a retrospective cohort study

BACKGROUND

To investigate the relationship between body mass index (BMI) changes and large for gestational age (LGA) in women with gestational diabetes mellitus (GDM).

METHODS

A retrospective cohort study including 10,486 women with GDM was conducted. A dose‒response analysis of BMI changes and the occurrence of LGA was performed. Binary logistic regressions were performed to assess crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic (ROC) curves and areas under the curve (AUCs) were used to assess the ability of BMI changes to predict LGA.

RESULTS

The probability of LGA increased with increasing BMI. The risk of LGA increased across the BMI change quartiles. The BMI change remained positively associated with the risk of LGAafter stratification analysis. The AUC was 0.570 (95% CI: 0.557 ~ 0.584)in the entire study population, and the best optimal predictive cut-off value was 4.922, with a sensitivity of 0.622 and a specificity of 0.486. The best optimal predictive cut-off value decreased from the underweight group to the overweight and obese group.

CONCLUSIONS

BMI changes are related to the risk of LGA and may be a useful predictor of the incidence of LGA in singleton pregnant women with GDM.

Safety considerations for assessing the quality of apps used during pregnancy: A scoping review

Objective

Pregnant women are increasingly turning to apps targeting knowledge and behaviour change for supporting healthy lifestyles and managing medical conditions. Yet, there is growing concern over the credibility and safety of content within mobile health (mHealth) apps. This scoping review aimed to systematically and thematically consolidate safety considerations described in reviews evaluating pregnancy-specific apps.

Methods

PubMed, Ovid MEDLINE® and EPub, CINAHL, Web of Science, Cochrane Libraries, and SCOPUS were systematically searched to identify reviews that assessed apps targeting pregnant women. Data related to safety were extracted and thematically analysed to establish a set of relevant safety considerations.

Results

Sixteen reviews met the inclusion criteria. The included reviews assessed an average of 27 apps each and targeted pregnancy topics, such as nutrition and physical activity. Five major and 20 minor themes were identified, including information, transparency, credibility, privacy and security, and app tailoring. Information, transparency, and credibility relate to the evidence base of information within the app, privacy and security of apps relate to the protection of personal information and data, and app tailoring relates to the consideration of contextual factors, such as local guidelines and digital health literacy.

Conclusions

Results present possible safety considerations when evaluating pregnancy-specific apps and emphasise a clear need for consumer guidance on how to make informed decisions around engagement and use of mHealth apps during pregnancy.

Assessing the Content and Quality of Digital Tools for Managing Gestational Weight Gain: Systematic Search and Evaluation

BACKGROUND

Digital health resources have the potential to assist women in optimizing gestational weight gain (GWG) during pregnancy to improve maternal health outcomes.

OBJECTIVE

In this study, we aimed to evaluate the quality and behavior change potential of publicly available digital tools (websites and apps) that facilitate GWG tracking.

METHODS

Digital tools were identified using key search terms across website search engines and app stores and evaluated using the Mobile App Rating Scale, the App Behavior Change Scale, as well as criteria to evaluate the rigor and safety of GWG information.

RESULTS

Overall, 1085 tools were screened for inclusion (162 websites and 923 apps), and 19 were deemed eligible. The mean Mobile App Rating Scale quality score was 3.31 (SD 0.53) out of 5, ranging from 2.26 to 4.39, and the mean App Behavior Change Scale score was 6 (SD 3.4) out of 21, ranging from 19 to 0. Of the 19 items used to evaluate rigor of GWG advice, most tools (n=11, 57.9%) contained ≤3 items.

CONCLUSIONS

This review emphasizes the substantial limitations in current digital resources promoting the monitoring and optimization of GWG. Most tools were of low quality, had minimal behavior change potential, and were potentially unsafe, with minimal linkage to evidence-based information or partnership with health care.

An interim analysis of a gestational weight gain intervention in military personnel and other TRICARE beneficiaries

OBJECTIVE

Despite military fitness regulations, women in the military frequently experience overweight/obesity, excessive gestational weight gain (GWG), and the postpartum implications. This interim analysis of the Moms Fit 2 Fight study examines GWG outcomes among active-duty personnel and other TRICARE beneficiaries who received a stepped-care GWG intervention compared with those who did not receive a GWG intervention.

METHOD

Participants (N = 430; 32% identified with an underrepresented racial group, 47% were active duty) were randomized to receive a GWG intervention or the comparison condition, which did not receive a GWG intervention.

RESULTS

Retention was 88% at 32 to 36 weeks' gestation. Participants who received the GWG intervention gained less weight compared with those who did not (mean [SD] = 10.38 [4.58] vs. 11.80 [4.87] kg, p = 0.0056). Participants who received the intervention were less likely to have excessive GWG compared with those who did not (54.6% vs. 66.7%, p = 0.0241). The intervention effects were significant for participants who identified as White, but not for those of other racial identities. There were no significant differences between the conditions in maternal/neonatal outcomes.

CONCLUSIONS

The intervention successfully reduced excessive GWG, particularly among participants who identified as White. Should this intervention be found cost-effective, it may be sustainably integrated throughout the military prenatal care system.

Association between body mass index in the first half of pregnancy and gestational diabetes: A systematic review

Gestational diabetes mellitus is a more common complication in pregnancy and rising worldwide and screening for treating gestational diabetes mellitus is an opportunity for preventing its complications. Abnormal body mass index is the cause of many complications in pregnancy that is one of the major and modifiable risk factors in pregnancy too. This systematic review aimed to define the association between body mass index in the first half of pregnancy (before 20 weeks of gestation) and gestational diabetes mellitus. Web of Science, PubMed/Medline, Embase, Scopus, ProQuest, Cochrane library, and Google Scholar databases were systematically explored for articles published until April 31, 2022. Participation, exposure, comparators, outcomes, study design criteria include pregnant women (P), body mass index (E), healthy pregnant women (C), gestational diabetes mellitus (O), and study design (cohort, case–control, and cross-sectional). Newcastle–Ottawa scale checklists were used to report the quality of the studies. Eighteen quality studies were analyzed. A total of 41,017 pregnant women were in the gestational diabetes mellitus group and 285,351 pregnant women in the normal glucose tolerance group. Studies have reported an association between increased body mass index and gestational diabetes mellitus. Women who had a higher body mass index in the first half of pregnancy were at higher risk for gestational diabetes mellitus. In the first half of pregnancy, body mass index can be used as a reliable and available risk factor to assess gestational diabetes mellitus, especially in some situations where the pre-pregnancy body mass index is not available.

Underreporting of Energy Intake Increases over Pregnancy: An Intensive Longitudinal Study of Women with Overweight and Obesity

(1) Background: Energy intake (EI) underreporting is a widespread problem of great relevance to public health, yet is poorly described among pregnant women. This study aimed to describe and predict error in self-reported EI across pregnancy among women with overweight or obesity. (2) Methods: Participants were from the Healthy Mom Zone study, an adaptive intervention to regulate gestational weight gain (GWG) tested in a feasibility RCT and followed women (n = 21) with body mass index (BMI) ≥25 from 8−12 weeks to ~36 weeks gestation. Mobile health technology was used to measure daily weight (Wi-Fi Smart Scale), physical activity (activity monitor), and self-reported EI (MyFitnessPal App). Estimated EI was back-calculated daily from measured weight and physical activity data. Associations between underreporting and gestational age, demographics, pre-pregnancy BMI, GWG, perceived stress, and eating behaviors were tested. (3) Results: On average, women were 30.7 years old and primiparous (62%); reporting error was −38% ± 26 (range: −134% (underreporting) to 97% (overreporting)), representing an ~1134 kcal daily underestimation of EI (1404 observations). Estimated (back-calculated), but not self-reported, EI increased across gestation (p < 0.0001). Higher pre-pregnancy BMI (p = 0.01) and weekly GWG (p = 0.0007) was associated with greater underreporting. Underreporting was lower when participants reported higher stress (p = 0.02) and emotional eating (p < 0.0001) compared with their own average. (4) Conclusions: These findings suggest systemic underreporting in pregnant women with elevated BMI using a popular mobile app to monitor diet. Advances in technology that allow estimation of EI from weight and physical activity data may provide more accurate dietary self-monitoring during pregnancy.

A Pragmatic Intervention Using Financial Incentives for Pregnancy Weight Management: Feasibility Randomized Controlled Trial

BACKGROUND

Excessive gestational weight gain (GWG) is common and can result in maternal and child health complications. Pragmatic behavioral interventions that can be incorporated into standard obstetric care are needed, and financial incentives are a promising approach.

OBJECTIVE

The aim of this study is to evaluate the feasibility of recruitment, randomization, and retention, as well as treatment engagement and intervention satisfaction, in a behavioral program. The program provided small incentives for meeting behavioral goals of self-weighing and physical activity as well as larger outcome incentives for meeting GWG goals.

METHODS

We recruited 40 adult women in their first trimester of pregnancy from February 2019 to September 2019 at an obstetric clinic. Participants were randomized to 3 intervention components using a 2×2×2 factorial design: daily incentives for self-weighing (lottery vs certain loss), incentives for adhering to the Institute of Medicine's GWG guidelines based on BMI category (monthly vs overall), and incentives for reaching physical activity goals (yes vs no). Participants were asked to complete daily weigh-ins using the Withings Body wireless scale provided by the study, as well as wear a physical activity tracker (Fitbit Flex 2). Feasibility outcomes of recruitment, randomization, and retention, as well as treatment engagement and intervention satisfaction, were assessed. Weight assessments were conducted at baseline, 32-week gestation, and 36-week gestation.

RESULTS

Participants were enrolled at, on average, 9.6 (SD 1.8) weeks' gestation. Of the 39 participants who were oriented to their condition and received the intervention, 24 (62%) were Black or African American, 30 (77%) were not married, and 29 (74%) had an annual household income of less than US $50,000. Of the 39 participants, 35 (90%) completed the follow-up data collection visit. Participants were generally quite positive about the intervention components, with a particular emphasis on the helpfulness of, and the enjoyment of using, the e-scale in both the quantitative and qualitative feedback. Participants who received the loss incentive, on average, had 2.86 times as many days of self-weighing as those who received the lottery incentive. Participants had a relatively low level of activity, with no difference between those who received a physical activity incentive and those who did not.

CONCLUSIONS

A financial incentive-based pragmatic intervention was feasible and acceptable for pregnant women for promoting self-weighing, physical activity, and healthy GWG. Participants were successfully recruited early in their first trimester of pregnancy and retained for follow-up data collection in the third trimester. Participants demonstrated promising engagement in self-weighing, particularly with loss-based incentives, and reported finding the self-weighing especially helpful. This study supports further investigation of pragmatic, clinic-based financial incentive-based interventions for healthy GWG behaviors.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03834194; https://clinicaltrials.gov/ct2/show/NCT03834194.

Pre-pregnancy BMI, gestational weight gain and birth outcomes in Lebanon and Qatar: Results of the MINA cohort

Accumulating evidence has highlighted the role of maternal nutritional status on fetal development, birth outcomes and child health. The Mother and Infant Nutritional Assessment (MINA) cohort is a 3-year follow-up study of pregnant women and their children in Qatar and Lebanon. This study reports on the characteristics and determinants of pre-pregnancy BMI and Gestational Weight Gain (GWG) of MINA particiants, as well as birth outcomes. A total of 272 pregnant women were recruited during their first trimester from primary healthcare centers as well as private clinics in Beirut (n = 194) and Doha (n = 147). During the first visit, data collection included pre-pregnancy weight, sociodemographic and lifestyle characteristics. The weight before delivery and neonatal outcomes were extracted from the medical records. GWG was calculated as the difference between weight before delivery and pre-pregnancy weight and was classified into insufficient, adequate, and excessive, as per the IOM criteria. Overall, 42.1% of women had a pre-pregnancy BMI≥25 Kg/m² (58% in Qatar vs 30.8% in Lebanon, p<0.001). Only 30.2% of women had adequate GWG, while 25.7% and 44.1% of women had insufficient and excessive GWG, respectively. In the cohort 68.7% of infants had a weight adequate-for-gestational age (AGA), 6.7% were SGA and 24.6% were LGA. The proportions of LGA were higher with greater GWG (p<0.05). After adjustment, Qatari women were 3 times more likely to be overweight or obese before pregnancy while a higher education level was associated with significantly lower odds of pre-pregnancy BMI≥25 Kg/m². Pre-pregnancy BMI≥25 Kg/m² and regular breakfast consumption were predictors of excessive GWG (OR: 3.20, CI: 1.48–6.91; OR: 2.84, CI: 1.15–7.02, respectively). The high prevalence of pre-pregnancy overweight and excessive GWG among MINA participants underscores the need for culture-specific intervention programs to promote healthy body weight in women of childbearing age, and prevent excessive weight gain during pregnancy.

Postpartum Patient Navigation and Postpartum Weight Retention

Objective  This study aimed to evaluate postpartum weight retention (PPWR) among women who participated in a postpartum patient navigation (PN) program. Study Design  English-speaking pregnant or postpartum women receiving publicly-funded prenatal care at a hospital-based clinic were invited to receive PN services through 12 weeks postpartum. Women were eligible for this analysis if height and weight values were available. Weights at 4 to 12 weeks and up to 12 months postpartum were compared in PN and non-PN historical-control groups and analyzed as mean PPWR (difference from prepregnancy weight) and categorically as PPWR > 5kg. Results  Among the 311 women, 152 participated in the PN program and 159 were historical controls. There were no differences in age, race and ethnicity, prepregnancy body mass index (BMI), nulliparity, and preterm birth between the groups ( p  > 0.05). At 4 to 12 weeks postpartum, mean PPWR (4.0 ± 6.7 vs. 2.7 ± 6.3 kg, p  = 0.06) and PPWR > 5 kg (61/144 [42%] vs. 50/145 [34%], p  = 0.15) did not differ between groups. Similarly, up to 12 months postpartum, mean PPWR (4.5 ± 7.1 vs. 5.0 ± 7.5 kg, p  = 0.59) and PPWR > 5 kg (22/50 [44%] vs. 30/57 [53%], p  = 0.55) did not differ between groups. Conclusion  Although PN is a promising intervention to improve women's health care utilization and other associated health outcomes, in this particular navigation program, participation was not associated with PPWR at 4 to 12 weeks and up to 12 months postpartum.

Biochemically confirmed smoking cessation and gestational weight gain

BACKGROUND

Prenatal smoking cessation has substantial health benefits for mothers and offspring, but concerns about weight gain may be a barrier to quitting. We quantified gestational weight gain associated with biochemically confirmed smoking cessation.

METHODS

Data originated from a randomized controlled cessation trial: Smoking Cessation in Pregnancy project (1987-1991). We calculated gestational weight gain using self-reported prepregnancy weight and measured weight at 30-34 weeks of gestation. We used linear regression to estimate adjusted mean differences in gain for quitters versus continuing smokers by the last trimester. The effects of quitting earlier (by 2nd trimester) versus later (by 3rd trimester) were calculated. We assessed the percentages who gained weight according to Institute of Medicine (IOM) recommendations within 2 weeks of a full-term delivery.

RESULTS

At 30-34 weeks, nulliparous and multiparous quitters gained an average of 3.0 pounds (95% CI 0.9-5.1 pounds) (1.4 kg [0.4-2.3 kg]) and 6.6 pounds (95% CI 4.3-8.9 pounds) (3.0 kg [1.9-4.0 kg]) more, respectively, than continuing smokers. Weight gain in early quitters did not differ significantly from that in late quitters. Quitters were more likely than continuing smokers to gain above current guidelines (60.3% vs 46.3%) and were less likely to gain below guidelines (11.5% vs 21.6%) (P = 0.002).

CONCLUSIONS

Although quitters had modest additional weight gain by 30-34 weeks compared to continuing smokers, a high proportion in both groups gained in excess of IOM recommendations. Both quitters and continuing smokers may need support to achieve optimal gestational weight gain.

Mobile Health Technology in Prenatal Care: Understanding OBGYN Providers' Beliefs about Using Technology to Manage Gestational Weight Gain

OBJECTIVES

High gestational weight gain (GWG) is linked to adverse maternal/infant outcomes. Scant research has examined OB/GYN providers': 1) beliefs and barriers to using mobile health (mHealth) technology and 2) their perceptions of patient beliefs/barriers for using mHealth technology for managing GWG.

METHODS

Semi-structured interviews and focus groups with OB/GYN providers (N = 25) were conducted in person and via telephone. Principles of thematic analysis were used to content analyze the interviews; sample size was determined via data saturation.

RESULTS

Most providers didn't use technology when providing prenatal care (94%), recommended public websites for patients to obtain health information (72%), and reported a smartphone/tablet as the ideal tool for clinical care (83%). Providers also believed mHealth tools would be beneficial for high risk patients (e.g., overweight/obese; 67%). For the use of mHealth tools in clinical care, the most salient provider barriers were lack of time (78%), costs (61%), facility/technology issues (56%), and lack of provider willingness to adapt to change (44%). The most important provider-perceived patient barriers were access (72%) and lack of interest (67%).

CONCLUSIONS FOR PRACTICE

These findings suggest some OB/GYN providers may be open to using mHealth technology in prenatal clinics to help their patients manage GWG if the technology is time efficient and both providers and patients can overcome barriers. The success of incorporating mHealth technology for diet/exercise counseling in prenatal clinics will lie in making it time efficient and interesting for the patient. Novel strategies to overcome provider and patient barriers are essential.

Gestational weight gain and group prenatal care: a systematic review and meta-analysis

BACKGROUND

Group visits for chronic medical conditions in non-pregnant populations have demonstrated successful outcomes including greater weight loss compared to individual visits for weight management. It is plausible that group prenatal care can similarly assist women in meeting gestational weight gain goals. The purpose of this study was to evaluate the effect of group vs. traditional prenatal care on gestational weight gain.

METHODS

A keyword search of Medline, Embase, Scopus, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, Cochrane Central Register of Controlled Trials, clinicaltrials.gov, and Google Scholar was performed up to April 2017. Studies were included if they compared gestational weight gain in a group prenatal care setting to traditional prenatal care in either randomized controlled trials, cohort, or case-control studies. The primary and secondary outcomes were excessive and adequate gestational weight gain according to the Institute of Medicine guidelines. Heterogeneity was assessed with the Q test and I² statistic. Pooled relative risks (RRs) and confidence intervals (CI) were reported with random-effects models from the randomized controlled trials (RCT) and cohort studies.

RESULTS

One RCT, one secondary analysis of an RCT, one study with "random assignment", and twelve cohort studies met the inclusion criteria for a total of 13,779 subjects. Thirteen studies used the CenteringPregnancy model, defined by 10 sessions that emphasize goal setting and self-monitoring. Studies targeted specific populations such as adolescents, African-Americans, Hispanics, active-duty military or their spouses, and women with obesity or gestational diabetes. There were no significant differences in excessive [7 studies: pooled rates 47% (1806/3582) vs. 43% (3839/8521), RR 1.09, 95% CI 0.97-1.23] or adequate gestational weight gain [6 studies: pooled rates 31% (798/2875) vs. 30% (1410/5187), RR 0.92, 95% CI 0.79-1.08] in group and traditional prenatal care among the nine studies that reported categorical gestational weight gain outcomes in the meta-analysis.

CONCLUSIONS

Group prenatal care was not associated with excessive or adequate gestational weight gain in the meta-analysis. Since outcomes were overall inconsistent, we propose that prenatal care models (e.g., group vs. traditional) should be evaluated in a more rigorous fashion with respect to gestational weight gain.

A mixed method study evaluating the integration of pregnancy weight gain charts into antenatal care

Monitoring pregnancy weight can reduce excess gestational weight gain (GWG), and is recommended in clinical practice guidelines as part of routine care. This study aimed to evaluate the implementation of routine weight monitoring using a pregnancy weight gain chart (PWGC), and assess health care professionals (HCPs) and pregnant women's attitudes and practices around its use. A semiquantitative survey was conducted with a consecutive sample of antenatal women at 16 and 36 weeks gestation. Women were weighed, and a PWGC audit done at 36 weeks gestation to assess adherence to chart use and GWG. A cross-sectional survey of antenatal HCPs at the Australian facility assessed staff attitudes and practices relating to weight monitoring and PWGC use. Of the 291 women surveyed, 68% reported being given a PWGC. Of the audited PWGCs (n = 258), 54% had less than three weights recorded, 36% had errors, and 3% were unused. All HCPs surveyed (n = 42) were aware of the PWGC, 63% reported using it to track GWG regularly and 26% believed it to be only the woman's responsibility (i.e., not the midwife's role) to complete it. Seventy-six percent reported they needed more training in counselling pregnant women, and insufficient time was a main barrier to weighing and conversing with women. It is feasible to implement a PWGC into routine antenatal care. Clarity over women's and HCPs responsibility for monitoring GWG and completion of the PWGC is needed. Training on correct PWGC use and counselling and workforce engagement are required to overcome barriers and support healthy GWG.

Effect of Lifestyle Coaching Including Telemonitoring and Telecoaching on Gestational Weight Gain and Postnatal Weight Loss: A Systematic Review

Background: Obesity during pregnancy, excessive gestational weight gain (GWG), and postpartum weight retention (PPWR) are associated with health risks for mothers and their offspring. Face-to-face lifestyle interventions can reduce GWG and PPWR, but they are resource-demanding and effects on long-term maternal and fetal outcomes are scarce. Objectives: To explore the existing literature about the effect of technology-supported lifestyle interventions including telemonitoring and-coaching on GWG and PPWR. Methods: PudMed, MEDLINE, CINAHL, EMBASE (incl. The Cochrane databases), and Web of Science databases were searched for relevant studies published since 2000. Inclusion criteria were: lifestyle interventions to optimize GWG or PPWR with at least mobile applications or websites, focusing on physical activity (PA), healthy eating (HE), and/or psychological well-being, including self-monitoring with telemonitoring and telecoaching. Results: The technology-supported interventions in seven study protocols and four pilot studies differed in terms of the used behavior change models, their focus on different lifestyle issues, and their intervention components for telemonitoring and telecoaching. Technology-supported interventions including telemonitoring and coaching can optimize GWG and PPWR, although not all results are significant. Effects on PA and HE are inconsistent. Conclusions: Technology-supported lifestyle interventions might affect GWG and PPWR, but more research is needed to examine the effectiveness, the usability, and the critical features of these interventions.

Home Based Exercise Intervention in Pregnant Indian Women: Effects on Weight and Obesity Markers

Background and Aims: The purpose of this study was to investigate the effect of a home based physical activity intervention during pregnancy on weight and various obesity markers resulting in metabolic syndrome in future. Methods: The paper presents a pilot experimental study (pre-post comparison) from a larger ongoing trial, with40 pregnant women (20 each) having singleton pregnancy of >16 weeks of gestation, BMI >18.5 Kg/m2 and declared fit by gynecologist for physical activity during pregnancy. They were assigned to either home exercise group receiving antenatal weight loss intervention delivered via 2 exercise demonstration sessions and informative brochures with advised regular 30 minutes walking during pregnancy, while control group was advised once at initial recruitment for maintaining active lifestyle during pregnancy. The data was analyzed using IBM-SPSS-(version 21) software. Results: Though the exercise group had less weight gain and weight retention than the control group, the pregnancy home intervention alone was not effective in controlling obesity parameters like body mass index (BMI), waist circumference (WC), hip circumference (HC) and waist to hip ratio (W/H).Conclusion: Home based pregnancy exercise intervention should include other adjunct components, which could be diet advice or timely supervised exercise sessions to have appreciable obesity control during pregnancy.

A Tailored Letter Based on Electronic Health Record Data Improves Gestational Weight Gain Among Women With Gestational Diabetes Mellitus: The Gestational Diabetes' Effects on Moms (GEM) Cluster-Randomized Controlled Trial

OBJECTIVE

Evaluate whether a tailored letter improved gestational weight gain (GWG) and whether GWG mediated a multicomponent intervention's effect on postpartum weight retention among women with gestational diabetes mellitus (GDM).

RESEARCH DESIGN AND METHODS

A cluster-randomized controlled trial of 44 medical facilities (n = 2,014 women) randomized to usual care or a multicomponent lifestyle intervention delivered during pregnancy (tailored letter) and postpartum (13 telephone sessions) to reduce postpartum weight retention. The tailored letter, using electronic health record (EHR) data, recommended an end-of-pregnancy weight goal tailored to prepregnancy BMI and GWG trajectory at GDM diagnosis: total GWG at the lower limit of the IOM range if BMI ≥18.5 kg/m2 or the midpoint if <18.5 kg/m2 and weight maintenance if women had exceeded this. The outcomes for this study were the proportion of women meeting the Institute of Medicine (IOM) guidelines for weekly rate of GWG from GDM diagnosis to delivery and meeting the end-of-pregnancy weight goal.

RESULTS

The tailored letter significantly increased the proportion of women meeting the IOM guidelines (72.6% vs. 67.1%; relative risk 1.08 [95% CI 1.01-1.17]); results were similar among women with BMI <25.0 kg/m2 (1.07 [1.00-1.15]) and ≥25.0 kg/m2 (1.08 [0.98-1.18]). Thirty-six percent in the intervention vs. 33.0% in usual care met the end-of-pregnancy weight goal (1.08 [0.99-1.18]); the difference was statistically significant among women with BMI <25.0 kg/m2 (1.28 [1.05-1.57]) but not ≥25.0 kg/m2 (0.99 [0.87-1.13]). Meeting the IOM guidelines mediated the effect of the multicomponent intervention in reducing postpartum weight retention by 24.6% (11.3-37.8%).

CONCLUSIONS

A tailored EHR-based letter improved GWG, which mediated the effect of a multicomponent intervention in reducing postpartum weight retention.

Individually Tailored, Adaptive Intervention to Manage Gestational Weight Gain: Protocol for a Randomized Controlled Trial in Women With Overweight and Obesity

Background

High gestational weight gain is a major public health concern as it independently predicts adverse maternal and infant outcomes. Past interventions have had only limited success in effectively managing pregnancy weight gain, especially among women with overweight and obesity. Well-designed interventions are needed that take an individualized approach and target unique barriers to promote healthy weight gain.

Objective

The primary aim of the study is to describe the study protocol for Healthy Mom Zone, an individually tailored, adaptive intervention for managing weight in pregnant women with overweight and obesity.

Methods

The Healthy Mom Zone Intervention, based on theories of planned behavior and self-regulation and a model of energy balance, includes components (eg, education, self-monitoring, physical activity/healthy eating behaviors) that are adapted over the intervention (ie, increase in intensity) to better regulate weight gain. Decision rules inform when to adapt the intervention. In this randomized controlled trial, women are randomized to the intervention or standard care control group. The intervention is delivered from approximately 8-36 weeks gestation and includes step-ups in dosages (ie, Step-up 1 = education + physical activity + healthy eating active learning [cooking/recipes]; Step-up 2 = Step-up 1 + portion size, physical activity; Step-up 3 = Step-up 1 + 2 + grocery store feedback, physical activity); 5 maximum adaptations. Study measures are obtained at pre- and postintervention as well as daily (eg, weight), weekly (eg, energy intake/expenditure), and monthly (eg, psychological) over the study period. Analyses will include linear mixed-effects models, generalized estimating equations, and dynamical modeling to understand between-group and within-individual effects of the intervention on weight gain.

Results

Recruitment of 31 pregnant women with overweight and obesity has occurred from January 2016 through July 2017. Baseline data have been collected for all participants. To date, 24 participants have completed the intervention and postintervention follow-up assessments, 3 are currently in progress, 1 dropped out, and 3 women had early miscarriages and are no longer active in the study. Of the 24 participants, 13 women have completed the intervention to date, of which 1 (8%, 1/13) received only the baseline intervention, 3 (23%, 3/13) received baseline + step-up 1, 6 (46%, 6/13) received baseline + step-up 1 + step-up 2, and 3 (23%, 3/13) received baseline + step-up 1 + step-up 2 +step-up 3. Data analysis is still ongoing through spring 2018.

Conclusions

This is one of the first intervention studies to use an individually tailored, adaptive design to manage weight gain in pregnancy. Results from this study will be useful in designing a larger randomized trial to examine efficacy of this intervention and developing strategies for clinical application.

Registered Report Identifier

RR1-10.2196/9220

Association of Gestational Weight Gain with Prenatal Care Model

INTRODUCTION

The objective of this study was to compare gestational weight gain (GWG) among women in group and traditional prenatal care.

METHODS

This is a retrospective cohort study of women who received prenatal care between 2011 and 2015 in a setting in which low-risk women had the option of group prenatal care. Women with height and initial and final weight were eligible. Women who chose group prenatal care were compared with women who chose traditional prenatal care and gave birth during the same study period. A propensity score analysis was used to create a matched control group from women who received traditional prenatal care. Bivariable comparisons of demographics, maternal characteristics, and GWG as a categorical variable (inadequate, adequate, or excessive per the 2009 Institute of Medicine guidelines) were performed with chi-square or Wilcoxon rank-sum tests. A logistic regression analysis was performed to estimate the association of group prenatal care with excessive GWG.

RESULTS

The final sample included 818 women who received either group or traditional prenatal care and were matched according to age, body mass index (BMI), nulliparity, and marital status. In the unadjusted analysis, women in group prenatal care had lower odds of excessive GWG (odds ratio [OR], 0.75; 95% CI, 0.57-0.99), but the statistical significance of this finding did not persist in the adjusted analysis (OR, 0.77; 95% CI, 0.45-1.30). When the analyses were limited to women who had at least 5 group or traditional prenatal care visits, there were no differences in excessive GWG in unadjusted (OR, 0.83; 95% CI, 0.59-1.16) or adjusted (OR, 0.97; 95% CI, 0.24-3.96) analyses.

DISCUSSION

In this propensity score matched cohort study of predominantly Hispanic women, there were no differences in excessive GWG between women in group compared with traditional prenatal care. Further study is indicated to determine the relationship between prenatal care model and GWG outcomes.

Achieving Appropriate Gestational Weight Gain: The Role of Healthcare Provider Advice

BACKGROUND

The Institute of Medicine (IOM) revised gestational weight gain recommendations in 2009. We examined associations between healthcare provider advice about gestational weight gain and inadequate or excessive weight gain, stratified by prepregnancy body mass index category.

MATERIALS AND METHODS

We analyzed cross-sectional data from women delivering full-term (37-42 weeks of gestation), singleton infants from four states that participated in the 2010-2011 Pregnancy Risk Assessment Monitoring System (unweighted n = 7125). Women reported the weight gain range (start and end values) advised by their healthcare provider; advice was categorized as follows: starting below recommendations, starting and ending within recommendations (IOM consistent), ending above recommendations, not remembered, or not received. We examined associations between healthcare provider advice and inadequate or excessive, compared with appropriate, gestational weight gain using adjusted prevalence ratios (aPR) and 95% confidence intervals (CIs).

RESULTS

Overall, 26.3% of women reported receiving IOM-consistent healthcare provider advice; 26.0% received no advice. Compared with IOM-consistent advice, advice below recommendations was associated with higher likelihood of inadequate weight gain among underweight (aPR 2.22, CI 1.29-3.82) and normal weight women (aPR 1.57, CI 1.23-2.02); advice above recommendations was associated with higher likelihood of excessive weight gain among all but underweight women (aPR range 1.36, CI 1.08-1.72 to aPR 1.42, CI 1.19-1.71). Not remembering or not receiving advice was associated with both inadequate and excessive weight gain.

CONCLUSIONS

Few women reported receiving IOM-consistent advice; not receiving IOM-consistent advice put women at-risk for weight gain outside recommendations. Strategies that raise awareness of IOM recommendations and address barriers to providing advice are needed.

Greater Neonatal Fat-Free Mass and Similar Fat Mass Following a Randomized Trial to Control Excess Gestational Weight Gain

OBJECTIVE

The objective of this study was to determine the effectiveness of controlling maternal gestational weight gain (GWG) in the second and third trimesters on neonate body composition.

METHODS

Two hundred ten healthy women with overweight (25 > BMI < 30) or obesity (BMI ≥ 30) were randomly assigned to a lifestyle intervention (LI) program focused on controlling GWG through nutrition and activity behaviors or to usual obstetrical care (UC). Infant fat and fat-free mass (FFM) at birth were measured by using air displacement plethysmography (PEA POD) and by using quantitative magnetic resonance (QMR).

RESULTS

At baseline, there were no between-group differences in maternal characteristics (mean [SD]): age: 33.8 (4.3) years, weight: 81.9 (13.7) kg, BMI: 30.4 (4.5), and gestational age at randomization: 14.9 (0.8) weeks. GWG was less in the LI group by 1.79 kg (P = 0.003) or 0.0501 kg/wk (P = 0.002). Compared with UC infants, LI infants had greater weight (131 ± 59 g P = 0.03), FFM (98 ± 45 g; P = 0.03) measured by PEA POD, and lean mass (105 ± 38 g; P = 0.006) measured by QMR. Fat mass and percent fat were not significantly different.

CONCLUSIONS

Intervening in women with overweight and obesity through behaviors promoting healthy diet and physical activity to control GWG resulted in neonates with similar fat and greater FFM.

Randomized controlled clinical trial of behavioral lifestyle intervention with partial meal replacement to reduce excessive gestational weight gain

Background

Behavioral lifestyle interventions during pregnancy can prevent excessive gestational weight gain (GWG) in women with normal weight; however, effective interventions to reduce GWG in ethnically diverse women with obesity are lacking.

Objective

A randomized controlled trial was conducted to test whether a behavioral lifestyle intervention with partial meal replacement reduces GWG rate in Hispanic and non-Hispanic women with overweight or obesity relative to enhanced usual care.

Design

Participants (n = 257) were recruited in San Luis Obispo, California, and Providence, Rhode Island, between November 2012 and May 2016. Participants were pregnant (mean ± SD: 13.6 ± 1.8 wk of gestation) with overweight or obesity and had a mean age of 30.3 y; 41.6% of participants were Hispanic. Women were randomly assigned within site and by ethnicity to enhanced usual care (n = 128) or to a behavioral lifestyle intervention with partial meal replacement (n = 129). The primary outcome was GWG per week of observation. Secondary outcomes were proportions exceeding Institute of Medicine (IOM) guidelines for total GWG, changes in weight-control behaviors and cardiovascular disease risk factors, and incidence of pregnancy complications. Study retention was 99.6% (256 of 257).

Results

The intervention compared with usual care resulted in less mean ± SD weekly GWG (0.33 ± 0.25 compared with 0.39 ± 0.23 kg/wk; P = 0.02) and total GWG (9.4 ± 6.9 compared with 11.2 ± 7.0 kg; P = 0.03) and reduced the proportion of women who exceeded IOM guidelines for total GWG (41.1% compared with 53.9%; P = 0.03). No significant group × time × demographic subgroup (ethnicity, BMI, age, parity, and income) interactions were observed. Among intervention participants, greater meal replacement intake was related to reduced GWG rate (β = -0.07; 95% CI:-0.12, -0.03; P = 0.002). The intervention compared with usual care increased weight-control strategies (P < 0.0001) and cognitive restraint (P < 0.0001) and reduced triglycerides (P = 0.03).

Conclusion

Prenatal behavioral intervention with partial meal replacement significantly reduced GWG in Hispanic and non-Hispanic women with overweight or obesity. This trial was registered at www.clinicaltrials.gov as NCT01545934.

Relationships between consumption of ultra-processed foods, gestational weight gain and neonatal outcomes in a sample of US pregnant women

Background

An increasingly large share of diet comes from ultra-processed foods (UPFs), which are assemblages of food substances designed to create durable, convenient and palatable ready-to-eat products. There is increasing evidence that high UPF consumption is indicative of poor diet and is associated with obesity and metabolic disorders. This study sought to examine the relationship between percent of energy intake from ultra-processed foods (PEI-UPF) during pregnancy and maternal gestational weight gain, maternal lipids and glycemia, and neonatal body composition. We also compared the PEI-UPF indicator against the US government’s Healthy Eating Index-2010 (HEI-2010).

Methods

Data were used from a longitudinal study performed in 2013–2014 at the Women’s Health Center and Obstetrics & Gynecology Clinic in St. Louis, MO, USA. Subjects were pregnant women in the normal and obese weight ranges, as well as their newborns (n = 45). PEI-UPF and the Healthy Eating Index-2010 (HEI-2010) were calculated for each subject from a one-month food frequency questionnaire (FFQ). Multiple regression (ANCOVA-like) analysis was used to analyze the relationship between PEI-UPF or HEI-2010 and various clinical outcomes. The ability of these dietary indices to predict clinical outcomes was also compared with the predictive abilities of total energy intake and total fat intake.

Results

An average of 54.4 ± 13.2% of energy intake was derived from UPFs. A 1%-point increase in PEI-UPF was associated with a 1.33 kg increase in gestational weight gain (p = 0.016). Similarly, a 1%-point increase in PEI-UPF was associated with a 0.22 mm increase in thigh skinfold (p = 0.045), 0.14 mm in subscapular skinfold (p = 0.026), and 0.62 percentage points of total body adiposity (p = 0.037) in the neonate.

Discussion

PEI-UPF (percent of energy intake from ultra-processed foods) was associated with and may be a useful predictor of increased gestational weight gain and neonatal body fat. PEI-UPF was a better predictor of all tested outcomes than either total energy or fat intake, and a better predictor of the three infant body fat measures than HEI-2010. UPF consumption should be limited during pregnancy and diet quality should be maximized in order to improve maternal and neonatal health.

Where Do Women Get Advice About Weight, Eating, and Physical Activity During Pregnancy?

BACKGROUND

Most women report not receiving information about gestational weight gain (GWG) from prenatal providers, but less is known about other sources of information and their potential impacts on GWG. The purpose of this study was to investigate sources of information about diet, physical activity, and weight control during pregnancy, and the impact of information sources on maternal GWG.

MATERIALS AND METHODS

Participants were 183 women with normal weight and 172 women with overweight/obesity who had enrolled in a prenatal lifestyle intervention trial. At 6 weeks postpartum, women were asked whether they had received information about "diet, physical activity, or weight control" from 12 sources uninvolved in the trial (e.g., physician, Internet, and friend) and, if received, the extent to which they followed the advice. Information sources were examined in relation to odds of exceeding Institute of Medicine (IOM) GWG guidelines based on measured weights.

RESULTS

Most women reported receiving information from a book (60.6%) or the Internet (58.3%). Advice from physicians, dietitians, or nurses was reported in 55.6%, 48.2%, and 33.9% of women, respectively. Reported receipt of information from physicians was associated with reduced Odds Ratio ([95% Confidence Interval] = 0.55 [0.35-0.88]; p = 0.01) of exceeding IOM GWG guidelines. Reported receipt of information from other sources was not related to GWG.

CONCLUSIONS

Books and the Internet were the most prevalent information sources reported for prenatal diet, physical activity, and weight control. However, of all sources, only physician provision of information was associated with reduced odds of excessive GWG.

Measuring Adherence to a Nutrition and Exercise Lifestyle Intervention: Is Program Adherence Related to Excessive Gestational Weight Gain?

To identify adherence required to achieve target health outcome(s) in nutrition and/or exercise interventions, a measurement tool that tracks objective and self-reported measures of adherence is necessary. The purpose of this study was to design an adherence measurement tool and test it retrospectively on the Nutrition and Exercise Lifestyle Intervention Program (NELIP; Ruchat et al., Medicine and Science in Sports and Exercise, 44(8), 1419-1426, 2012; Mottola et al., Medicine and Science in Sports and Exercise, 42(2), 265-272, 2010), designed to prevent excessive gestational weight gain (EGWG). The tool was based on the goals of the NELIP and included a grading system for each behavior (exercise and nutrition). It was used to determine whether adherence scores could differentiate excessive versus acceptable weight gain during pregnancy across pre-pregnancy body mass index (BMI) categories. Results showed irrespective of pre-pregnancy BMI, women with acceptable weight gain had significantly higher adherence (p < 0.05) than women with excessive weight gain. It is recommended that this adherence tool be included in future prospective lifestyle intervention studies.

Come On! Using intervention mapping to help healthy pregnant women achieve healthy weight gain

OBJECTIVE

Gaining too much or too little weight in pregnancy (according to Institute of Medicine (IOM) guidelines) negatively affects both mother and child, but many women find it difficult to manage their gestational weight gain (GWG). Here we describe the use of the intervention mapping protocol to design 'Come On!', an intervention to promote adequate GWG among healthy pregnant women.

DESIGN

We used the six steps of intervention mapping: (i) needs assessment; (ii) formulation of change objectives; (iii) selection of theory-based methods and practical strategies; (iv) development of the intervention programme; (v) development of an adoption and implementation plan; and (vi) development of an evaluation plan. A consortium of users and related professionals guided the process of development.

RESULTS

As a result of the needs assessment, two goals for the intervention were formulated: (i) helping healthy pregnant women to stay within the IOM guidelines for GWG; and (ii) getting midwives to adequately support the efforts of healthy pregnant women to gain weight within the IOM guidelines. To reach these goals, change objectives and determinants influencing the change objectives were formulated. Theories used were the Transtheoretical Model, Social Cognitive Theory and the Elaboration Likelihood Model. Practical strategies to use the theories were the foundation for the development of 'Come On!', a comprehensive programme that included a tailored Internet programme for pregnant women, training for midwives, an information card for midwives, and a scheduled discussion between the midwife and the pregnant woman during pregnancy. The programme was pre-tested and evaluated in an effect study.

Windows of Opportunity for Lifestyle Interventions to Prevent Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is linked with several acute maternal health risks and long-term development of type 2 diabetes, metabolic syndrome, and cardiovascular disease. Intrauterine exposure to GDM similarly increases offspring risk of early-life health complications and later disease. GDM recurrence is common, affecting 40 to 73% of women, and augments associated maternal/fetal/child health risks. Modifiable and independent risk factors for GDM include maternal excessive gestational weight gain and prepregnancy overweight and obesity. Lifestyle interventions that target diet, activity, and behavioral strategies can effectively modify body weight. Randomized clinical trials testing the effects of lifestyle interventions during pregnancy to reduce excessive gestational weight gain have generally shown mixed effects on reducing GDM incidence. Trials testing the effects of postpartum lifestyle interventions among women with a history of GDM have shown reduced incidence of diabetes and improved cardiovascular disease risk factors. However, the long-term effects of interpregnancy or prepregnancy lifestyle interventions on subsequent GDM remain unknown. Future adequately powered and well-controlled clinical trials are needed to determine the effects of lifestyle interventions to prevent GDM and identify pathways to effectively reach reproductive-aged women across all levels of society, before, during, and after pregnancy.

Pragmatic cluster randomised trial of a free telephone-based health coaching program to support women in managing weight gain during pregnancy: the Get Healthy in Pregnancy Trial

BACKGROUND

Excessive gestational weight gain can result in poor maternal and child health outcomes. Estimates from single studies indicate the prevalence of excessive gestational weight gain in Australia could lie between 38 and 67 %. The risk of excessive weight gain can be reduced through healthy eating and exercise. We describe the rationale and methods of the Get Healthy in Pregnancy Service, a trial service which aims to support women in achieving appropriate gestational weight gain through an existing telephone-based health coaching service.

METHODS/DESIGN

This study aims to compare the effectiveness of a telephone-based health coaching program versus provision of information only in supporting pregnant women to achieve appropriate gestational weight gain. A pragmatic stratified clustered randomised controlled trial will be conducted with 710 women who present to 5 hospitals for their first antenatal appointment during the recruitment period (6-8 months), have a pre-pregnancy body mass index (BMI) ≥ 18.50 (healthy weight or above), are 18 years and over, singleton gestation, English speaking, have no pre-existing medical conditions that may limit their ability to exercise or require a restricted diet and are 18 weeks or less gestation. Hospitals will be randomised into one of two intervention models: a) information only; or b) information plus 10 telephone-based health coaching sessions with a university qualified coach. Both interventions will set a weight-range target with pregnant women. The women attending antenatal clinics at participating hospitals will be screened at their initial hospital appointment to assess their eligibility. Women recruited to the trial will have a number of measures recorded including anthropometrics (self-reported height and weight) and dietary and physical activity scores during and following pregnancy. These measurements will be collected at baseline (prior to 18 weeks gestation), 36 weeks gestation and 12 months post-birth.

DISCUSSION

This study responds to a need for an effective intervention that targets excessive gestational weight gain at a population level. This study investigates the potential for an innovative intervention combining two existing services; a free state-wide telephone-based health coaching service and hospital-based antenatal care to support pregnant women to achieve healthy weight gain during pregnancy. The use of existing services provides the potential for immediate post-study implementation. While the impacts of telephone-based lifestyle programmes have been tested in a number of settings, there are few studies which evaluate the effectiveness and acceptability of telephone support in achieving healthy gestational weight gain in association with routine antenatal care.

TRIAL REGISTRATION

ACTRN12615000397516 (Registration date: 26 June 2014, retrospectively registered).

The Effects of Prepregnancy Body Mass Index and Gestational Weight Gain on Fetal Macrosomia Among American Indian/Alaska Native Women

OBJECTIVES

The American Indian/Alaska Native (AI/AN) population is a high-risk group across many health indicators, including fetal macrosomia. We aimed to investigate the effects of prepregnancy body mass index (BMI) and gestational weight gain (GWG) on macrosomia and explore possible racial and geographical variations among AI/AN women.

METHODS

This retrospective cohort study was conducted from the Pregnancy Risk Assessment Monitoring System in eight states (2004-2011) among live, singleton, term births to AI/AN women 20 years or older. Prevalence of macrosomia (birth weight ≥ 4000 g) by select characteristics were estimated; differences were assessed with Chi-squares. Multivariable logistic regression was conducted to calculate adjusted odds ratios (aOR) for effects on macrosomia of BMI and GWG (enumerating the pounds women deviated from the Institute of Medicine guidelines for GWG) controlling for other factors in the total sample and stratified by race and state of residence.

RESULTS

The prevalence of macrosomia was 14 %, ranging from 8 to 21 % (Utah-Alaska). Among AI/AN women, 30 % were obese prepregnancy and 50 % had excess GWG. Significant independent effects were found for macrosomia of prepregnancy overweight (aOR 1.27; 95 % Confidence Interval 1.01-1.59), obesity (aOR 1.63; 1.29-2.07), and excess GWG (aOR 1.16; 1.13-1.20 per five pounds gained beyond appropriate). Adjusted estimates varied between race and state.

CONCLUSIONS

Prepregnancy BMI and GWG are independent factors for macrosomia among AI/AN women. Future research should prioritize development, testing, and implementation of weight management programs, which account for variations among AI/AN women, both before and during pregnancy for BMI regulation and GWG control.

Clinician's Attitudes to the Introduction of Routine Weighing in Pregnancy

Background. Excessive gestational weight gain poses significant short- and long-term health risks to both mother and baby. Professional bodies and health services increasingly recommend greater attention be paid to weight gain in pregnancy. A large Australian tertiary maternity hospital plans to facilitate the (re)introduction of routine weighing of all women at every antenatal visit. Objective. To identify clinicians' perspectives of barriers and enablers to routinely weighing pregnant women and variations in current practice, knowledge, and attitudes between different staff groups. Method. Forty-four maternity staff from three professional groups were interviewed in four focus groups. Staff included midwives; medical staff; and dietitians. Transcripts underwent qualitative content analysis to identify and examine barriers and enablers to the routine weighing of women throughout pregnancy. Results. While most staff supported routine weighing, various concerns were raised. Issues included access to resources and staff; the ability to provide appropriate counselling and evidence-based interventions; and the impact of weighing on patients and the therapeutic relationship. Conclusion. Many clinicians supported the practice of routine weighing in pregnancy, but barriers were also identified. Implementation strategies will be tailored to the discrete professional groups and will address identified gaps in knowledge, resources, and clinician skills and confidence.

Engagement with and outcomes of a Midwifery-led intervention group for pregnant women of high body mass index

AIMS

To compare pregnancy care, maternal and neonatal outcomes of women with Body Mass Index (BMI) >30 enrolled in a Weight Intervention Group versus other models of antenatal care.

METHODS

Retrospective, case-control study of mothers with BMI >30 managed with a specialised programme versus age-matched women enrolled in standard models of care.

RESULTS

One thousand, one hundred and fifteen of 9954 pregnant women with singleton pregnancies, had a BMI >30, of whom 9.6% enrolled in the intervention group. Compared to controls, the intervention group had superior implementation of local high BMI guidelines, including; nutritional /weight gain advice (86% vs. 46%, p < 0.001), regular weighing (80% vs. 33%, p < 0.001), lactation consultant referrals (8% vs. 1%, p = 0.02), third trimester anaesthetic review and ultrasound (50% vs. 20.9%, p = 0.04 and 55% vs. 43%). Initiation of breastfeeding was higher in the intervention group (100% vs. 90%, p = 0.001). No significant difference was noted in Caesarean rate (30% vs 32%) and birthweight (3538 g vs 3560 g).

CONCLUSIONS

Women with high BMI enrolled in a specialised antenatal management programme received increased care, and had superior breastfeeding initiation rates. However, engagement was poor, and no significant differences were noted in antenatal or postnatal complications, mode of birth or neonatal outcome.

Testing the feasibility of a mobile technology intervention promoting healthy gestational weight gain in pregnant women (txt4two) - study protocol for a randomised controlled trial

BACKGROUND

Overweight, obesity and excess gestational weight gain (GWG) are associated with negative health outcomes for mother and child in pregnancy and across the life course. Interventions promoting GWG within guidelines report mixed results. Most are time and cost intensive, which limits scalability. Mobile technologies (mHealth) offer low cost, ready access and individually-tailored support. We aim to test the feasibility of an mHealth intervention promoting healthy nutrition, physical activity and GWG in women who begin pregnancy overweight or obese.

METHODS/DESIGN

txt4two is a parallel randomised control trial pilot recruiting women with a singleton, live gestation between 10(+0) and 17(+6) weeks at the first hospital antenatal clinic visit. Inclusion criteria are pre-pregnancy BMI > 25 kg/m(2) and mobile phone ownership. One hundred consenting women will be randomised to intervention or control groups at a 1:1 ratio. All participants will receive standard antenatal care. In addition, the txt4two intervention will be delivered from baseline to 36 weeks gestation and consists of a tailored suite of theoretically-grounded, evidence-based intervention strategies focusing on healthy nutrition, physical activity and GWG. This includes: mobile phone interactive text messages promoting positive health behaviours, goal setting and self-monitoring; video messages; an information website; and a private moderated Facebook® chat forum. The primary outcome is the feasibility of the intervention. Secondary outcomes include GWG and participants' knowledge and behaviour regarding diet and physical activity during pregnancy.

DISCUSSION

Findings will inform the development of larger-scale mHealth programmes to improve the delivery of healthy pregnancy nutrition, physical activity and GWG, that could be widely translated and disseminated.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry: ACTRNU111111544397 . Date of registration: 19 March 2014.

Prevalence and characteristics associated with gestational weight gain adequacy

OBJECTIVE

To estimate the prevalence of gestational weight gain adequacy according to the 2009 Institute of Medicine recommendations and examine demographic, behavioral, psychosocial, and medical characteristics associated with inadequate and excessive gain stratified by prepregnancy body mass index (BMI) category.

METHODS

We used cross-sectional, population-based data on women delivering full-term (37 weeks of gestation or greater), singleton neonates in 28 states who participated in the 2010 or 2011 Pregnancy Risk Assessment Monitoring System. We estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for inadequate and excessive compared with adequate gain, stratified by prepregnancy BMI.

RESULTS

Overall, 20.9%, 32.0%, and 47.2% of women gained inadequate, adequate, and excessive gestational weight, respectively. Prepregnancy BMI was strongly associated with weight gain outside recommendations. Compared with normal-weight women (prevalence 51.8%), underweight women (4.2%) had decreased odds of excessive gain (adjusted OR 0.50, CI 0.40-0.61), whereas overweight and obese class I, II, and III (23.6%, 11.7%, 5.4%, and 3.5%, respectively) women had increased odds of excessive gain (adjusted OR range 2.07, CI 1.63-2.62 to adjusted OR 2.99, CI 2.63-3.40). Underweight and obese class II and III women had increased odds of inadequate gain (adjusted OR 1.25, CI 1.01-1.55 to 1.86, CI 1.45-2.36). Most characteristics associated with weight gain adequacy were demographic such as racial or ethnic minority status and education and varied by prepregnancy BMI. Notably, one behavioral characteristic-smoking cessation-was associated with excessive gain among normal-weight and obese women.

CONCLUSION

Most women gained weight outside recommendations. Understanding characteristics associated with inadequate or excessive weight gain may identify potentially at-risk women and inform much-needed interventions.

Control systems engineering for optimizing a prenatal weight gain intervention to regulate infant birth weight

OBJECTIVES

We used dynamical systems modeling to describe how a prenatal behavioral intervention that adapts to the needs of each pregnant woman may help manage gestational weight gain and alter the obesogenic intrauterine environment to regulate infant birth weight.

METHODS

This approach relies on integrating mechanistic energy balance, theory of planned behavior, and self-regulation models to describe how internal processes can be impacted by intervention dosages, and reinforce positive outcomes (e.g., healthy eating and physical activity) to moderate gestational weight gain and affect birth weight.

RESULTS

A simulated hypothetical case study from MATLAB with Simulink showed how, in response to our adaptive intervention, self-regulation helps adjust perceived behavioral control. This, in turn, changes the woman's intention and behavior with respect to healthy eating and physical activity during pregnancy, affecting gestational weight gain and infant birth weight.

CONCLUSIONS

This article demonstrates the potential for real-world applications of an adaptive intervention to manage gestational weight gain and moderate infant birth weight. This model could be expanded to examine the long-term sustainable impacts of an intervention that varies according to the participant's needs on maternal postpartum weight retention and child postnatal eating behavior.

Association of maternal body mass index, excessive weight gain, and gestational diabetes mellitus with large-for-gestational-age births

OBJECTIVE

To estimate the percentage of large-for-gestational age (LGA) neonates associated with maternal overweight and obesity, excessive gestational weight gain, and gestational diabetes mellitus (GDM)-both individually and in combination-by race or ethnicity.

METHODS

We analyzed 2004-2008 linked birth certificate and maternal hospital discharge data of live, singleton deliveries in Florida. We used multivariable logistic regression to assess the independent contributions of mother's prepregnancy body mass index (BMI), gestational weight gain, and GDM status on LGA (birth weight-for-gestational age 90 percentile or greater) risk by race and ethnicity while controlling for maternal age, nativity, and parity. We then calculated the adjusted population-attributable fraction of LGA neonates to each of these exposures.

RESULTS

Large-for-gestational age prevalence was 5.7% among normal-weight women with adequate gestational weight gain and no GDM and 12.6%, 13.5% and 17.3% among women with BMIs of 25 or higher, excess gestational weight gain, and GDM, respectively. A reduction ranging between 46.8% in Asian and Pacific Islanders and 61.0% in non-Hispanic black women in LGA prevalence might result if women had none of the three exposures. For all race or ethnic groups, GDM contributed the least (2.0-8.0%), whereas excessive gestational weight gain contributed the most (33.3-37.7%) to LGA.

CONCLUSION

Overweight and obesity, excessive gestational weight gain, and GDM all are associated with LGA; however, preventing excessive gestational weight gain has the greatest potential to reduce LGA risk.

Being macrosomic at birth is an independent predictor of overweight in children: results from the IDEFICS study

Fetal macrosomia is a risk factor for the development of obesity late in childhood. We retrospectively evaluated the relationship between maternal conditions associated with fetal macrosomia and actual overweight/obesity in the European cohort of children participating in the IDEFICS study. Anthropometric variables, blood pressure and plasma lipids and glucose were measured. Socio-demographic data, medical history and perinatal factors, familiar and gestational history, maternal and/or gestational diabetes were assessed by a questionnaire. Variables of interest were reported for 10,468 children (M/F = 5,294/5,174; age 6.0 ± 1.8 years, M ± SD). The sample was divided in four groups according to child birth weight (BW) and maternal diabetes: (1) adequate for gestational age offspring (BW between the 10th and 90th percentiles for gestational age) of mothers without diabetes (AGA-ND); (2) adequate for gestational age offspring of mothers with diabetes (AGA-D); (3) macrosomic offspring (BW > 90th percentile for gestational age) of mothers without diabetes (Macro-ND); (4) macrosomic offspring of mothers with diabetes (Macro-D). Children macrosomic at birth showed significantly higher actual values of body mass index, waist circumference, and sum of skinfold thickness. In both boys and girls, Macro-ND was an independent determinant of overweight/obesity, after the adjustment for confounders [Boys: OR = 1.7 95 % CI (1.3;2.2); Girls: OR = 1.6 95 % CI (1.3;2.0)], while Macro-D showed a significant association only in girls [OR = 2.6 95 % CI (1.1;6.4)]. Fetal macrosomia, also in the absence of maternal/gestational diabetes, is independently associated with the development of overweight/obesity during childhood. Improving the understanding of fetal programming will contribute to the early prevention of childhood overweight/obesity.

Study protocol: fit for delivery - can a lifestyle intervention in pregnancy result in measurable health benefits for mothers and newborns? A randomized controlled trial

Background

The global obesity epidemic has led to increased attention on pregnancy, a period when women are at risk of gaining excessive weight. Excessive gestational weight gain is associated with numerous complications, for both mother and child. Though the problem is widespread, few studies have examined the effect of a lifestyle intervention in pregnancy designed to limit maternal weight gain. The Fit for Delivery study will explore the effectiveness of nutritional counseling coupled with exercise classes compared with standard prenatal care. The aims of the study are to examine the effect of the intervention on maternal weight gain, newborn birth weight, glucose regulation, complications of pregnancy and delivery, and maternal weight retention up to 12 months postpartum.

Methods/design

Fit for Delivery is a randomized controlled trial that will include 600 women expecting their first child. To be eligible, women must be 18 years of age or older, of less than 20 weeks gestational age, with a singleton pregnancy, and have a Body Mass Index (BMI) ≥ 19 kg/m². The women will be randomly allocated to either an intervention group or a control group. The control group will receive standard prenatal care. The intervention group will, in addition, receive nutritional counseling by phone, access to twice-weekly exercise sessions, and information on healthy eating and physical activity provided in pamphlets, evening meetings and an interactive website. Both groups will be monitored by weighing (including bioimpedance measurements of percent body fat), blood tests, self-report questionnaires and hospital record review.

Discussion

Weight gained in pregnancy affects the health of both the mother and her unborn child, and simple models for efficient intervention are in high demand. The Fit for Delivery intervention provides concrete advice on limiting energy intake and practical training in increasing physical activity. This lifestyle intervention is simple, reproducible, and inexpensive. The design of the study reflects the realities of clinical practice, where patients are free to choose whether or not they respond to health initiatives. If we find measurable health benefits associated with the intervention, it may be an easily adopted supplement to routine prenatal care, in the prevention of obesity.

Trial registration

ClinicalTrial.gov, NCT01001689

Preventing long-term risk of obesity for two generations: prenatal physical activity is part of the puzzle

Background. The period surrounding pregnancy has been identified as a risk period for overweight/obesity in both mother and child because of excessive gestational weight gain (GWG). The promotion of a healthy GWG is therefore of paramount importance in the context of the prevention of obesity in the current and next generations. Objective. To provide a comprehensive overview of the effect of prenatal physical activity interventions, alone or in combination with nutritional counselling, on GWG and to address whether preventing excessive GWG decreases the incidence of infant high birth weight and/or postpartum weight retention. Method. A search of the PubMed database was conducted to identify all relevant studies. Nineteen studies were included in this review: 13 interventions combining physical activity, nutrition, and GWG counselling and 6 interventions including physical activity alone. Results. Prenatal lifestyle interventions promoting healthy eating and physical activity habits appear to be the most effective approach to prevent excessive GWG. Achievement of appropriate GWG may also decrease the incidence of high infant birth weight and postpartum weight retention. Conclusion. Healthy eating habits during pregnancy, combined with an active lifestyle, may be important elements in the prevention of long-term risk of obesity for two generations.

Early determinants of obesity: genetic, epigenetic, and in utero influences

There is an emerging body of work indicating that genes, epigenetics, and the in utero environment can impact whether or not a child is obese. While certain genes have been identified that increase one's risk for becoming obese, other factors such as excess gestational weight gain, gestational diabetes mellitus, and smoking can also influence this risk. Understanding these influences can help to inform which behaviors and exposures should be targeted if we are to decrease the prevalence of obesity. By helping parents and young children change certain behaviors and exposures during critical time periods, we may be able to alter or modify one's genetic predisposition. However, further research is needed to determine which efforts are effective at decreasing the incidence of obesity and to develop new methods of prevention. In this paper, we will discuss how genes, epigenetics, and in utero influences affect the development of obesity. We will then discuss current efforts to alter these influences and suggest future directions for this work.