Dataset Information

Impact of exercise on maternal gestational weight gain: An updated meta-analysis of randomized controlled trials.

ABSTRACT:

Background

Clinical evidence indicates that women will benefit from regular physical activity during pregnancy. This study aimed to summarize and update the evidence on the effect of exercise on maternal gestational weight gain (GWG).

Methods

We conducted a systematic literature search of Pubmed, Embase, and Cochrane Library from inception until July, 2018 for randomized controlled trials (RCTs) that investigate the effect of physical exercises on the maternal GWG compared with that of no physical exercises or conventional medical care. We extracted data from eligible trials for study characteristics, interventions, patients' baseline characteristics and outcomes for the study populations of interest. We conducted meta-analyses using random effects models.

Results

From 844 citations, 23 RCTs including 4462 pregnant women met the inclusion criteria. Meta-analysis indicated that compared with that in women having conventional medical care, GWG was significantly decreased in pregnant women with physical exercise [weighted mean difference (WMD) -1.02, 95% CI -1.35 to -0.70; P < .01; I = 48.4%]. Women appeared to benefit more for gestational weight control for exercise frequency of 3 times per week (WMD -1.22, 95% CI -1.55 to -0.90; I = 40.3%) and exercise duration of 30 to 45 minutes each time (WMD -1.32, 95% CI -1.79 to -0.85; I = 1.5%).

Conclusion

This meta-analysis provides indications that exercise intervention can reduce maternal GWG for pregnant women, especially for those with exercise frequency of 3 times per week and duration of 30 to 45 minutes each time.

SUBMITTER: Wang J

PROVIDER: S-EPMC6635273 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Publications

Impact of exercise on maternal gestational weight gain: An updated meta-analysis of randomized controlled trials.

Wang Jianying J Wen Danting D Liu Xiaofei X Liu Yingjie Y

Medicine 20190701 27

<h4>Background</h4>Clinical evidence indicates that women will benefit from regular physical activity during pregnancy. This study aimed to summarize and update the evidence on the effect of exercise on maternal gestational weight gain (GWG).<h4>Methods</h4>We conducted a systematic literature search of Pubmed, Embase, and Cochrane Library from inception until July, 2018 for randomized controlled trials (RCTs) that investigate the effect of physical exercises on the maternal GWG compared with th ...[more]

PMID: 31277127

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Project description:BackgroundTo investigate the effects of two different exercise interventions during pregnancy on gestational weight gain (GWG) and obstetric and neonatal outcomes compared to standard care. Additionally, we aimed to improve standardization of GWG measurements by developing a model to estimate GWG for a standardized pregnancy period of 40 weeks and 0 days accounting for individual differences in gestational age (GA) at delivery.MethodsIn a randomized controlled trial we compared the effects of structured supervised exercise training (EXE) three times per week throughout pregnancy versus motivational counselling on physical activity (MOT) seven times during pregnancy with standard care (CON) on GWG and obstetric and neonatal outcomes. Uniquely, to estimate GWG for a standardized pregnancy period, we developed a novel model to predict GWG based on longitudinally observed body weights during pregnancy and at admission for delivery. Observed weights were fitted to a mixed effects model that was used to predict maternal body weight and estimate GWG at different gestational ages. Obstetric and neonatal outcomes, among them gestational diabetes mellitus (GDM) and birth weight, were obtained after delivery. GWG and the investigated obstetric and neonatal outcomes are secondary outcomes of the randomized controlled trial, which might be underpowered to detect intervention effects on these outcomes.ResultsFrom 2018-2020, 219 healthy, inactive pregnant women with median pre-pregnancy BMI of 24.1 (21.8-28.7) kg/m2 were included at median GA 12.9 (9.4-13.9) weeks and randomized to EXE (n = 87), MOT (n = 87) or CON (n = 45). In total 178 (81%) completed the study. GWG at GA 40 weeks and 0 days did not differ between groups (CON: 14.9 kg [95% CI, 13.6;16.1]; EXE: 15.7 kg [14.7;16.7]; MOT: 15.0 kg [13.6;16.4], p = 0.538), neither did obstetric nor neonatal outcomes. For example, there were no differences between groups in the proportions of participants developing GDM (CON: 6%, EXE: 7%, MOT: 7%, p = 1.000) or in birth weight (CON: 3630 (3024-3899), EXE: 3768 (3410-4069), MOT: 3665 (3266-3880), p = 0.083).ConclusionsNeither structured supervised exercise training nor motivational counselling on physical activity during pregnancy affected GWG or obstetric and neonatal outcomes compared to standard care.Trial registrationClinicalTrials.gov; NCT03679130; 20/09/2018.

Project description:Approximately 50% of women gain excessive weight in pregnancy. Optimizing gestational weight gain is important for the short- and long-term health of the childbearing woman and her baby. Despite this, there is no recommendation for routine weighing in pregnancy, and weight is a topic that many maternity care providers avoid. Resource-intensive interventions have mainly targeted overweight and obese women with variable results. Few studies have examined the way that socioeconomic status might influence the effectiveness or acceptability of an intervention to participants. Given the scale of the problem of maternal weight gain, maternity services will be unlikely to sustain resource intensive interventions; therefore, innovative strategies are required to assist women to manage weight gain in pregnancy.The primary aim of the trial was to examine the effectiveness of the Eating4Two smartphone app in assisting women of all body mass index categories to optimize gestational weight gain. Secondary aims include comparing childbirth outcomes and satisfaction with antenatal care and examining the way that relative advantage and disadvantage might influence engagement with and acceptability of the intervention.This randomized controlled trial will randomize 1330 women to control or intervention groups in 3 regions of different socioeconomic status. Women will be recruited from clinical and social media sites. The intervention group will be provided with access to the Eating4Two mobile phone app which provides nutrition and dietary information specifically tailored for pregnancy, advice on food serving sizes, and a graph that illustrates women's weight change in relation to the range recommended by the Institute of Medicine. Women will be encouraged to use the app to prompt conversations with their maternity care providers about weight gain in pregnancy. The control group will receive routine antenatal care.Recruitment has commenced though the recruitment rate is slower than expected. Additional funds are required to employ research assistants and promote the study in an advertising campaign.Feasibility testing highlighted the inadequacy of the original recruitment strategy and the need to provide the app in both major platforms (Android and iOS). Smartphone technologies may offer an effective alternative to resource intensive strategies for assisting women to optimize weight gain in pregnancy.Australian New Zealand Clinical Trials Registry ACTRN12617000169347; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371470 (Archived by WebCite at http://www.webcitation.org /6zDvgw5bo).RR1-10.2196/9920.

Project description:Aims/hypothesisAccumulating evidence suggests an impact of gestational weight gain (GWG) on pregnancy outcomes; however, data on cardiometabolic risk factors later in life have not been comprehensively studied. This study aimed to evaluate the relationship between GWG and cardiometabolic risk in offspring aged 7 years.MethodsWe included a total of 905 mother-child pairs who enrolled in the follow-up visit of the multicentre Hyperglycemia and Adverse Pregnancy Outcome study, at the Hong Kong Centre. Women were classified as having gained weight below, within or exceeding the 2009 Institute of Medicine (IOM) guidelines. A standardised GWG according to pre-pregnancy BMI categories was calculated to explore for any quadratic relationship.ResultsIndependent of pre-pregnancy BMI, gestational hyperglycaemia and other confounders, women who gained more weight than the IOM recommendations had offspring with a larger body size and increased odds of adiposity, hypertension and insulin resistance (range of p values of all the traits: 4.6 × 10-9 < p < 0.0390) than women who were within the recommended range of weight gain during pregnancy. Meanwhile, women who gained less weight than outlined in the recommendations had offspring with increased risks of hypertension and insulin resistance, compared with those who gained weight within the recommended range (7.9 × 10-3 < p < 0.0477). Quadratic relationships for diastolic blood pressure, AUC for insulin, pancreatic beta cell function and insulin sensitivity index were confirmed in the analysis of standardised GWG (1.4 × 10-3 < pquadratic < 0.0282). Further adjustment for current BMI noticeably attenuated the observed associations.Conclusions/interpretationBoth excessive and inadequate GWG have independent and significant impacts on childhood adiposity, hypertension and insulin resistance. Our findings support the notion that adverse intrauterine exposures are associated with persistent cardiometabolic risk in the offspring.

Project description:BackgroundClinical recommendations to limit gestational weight gain (GWG) imply high GWG is causally related to adverse outcomes in mother or offspring, but GWG is the sum of several inter-related complex phenotypes (maternal fat deposition and vascular expansion, placenta, amniotic fluid and fetal growth). Understanding the genetic contribution to GWG could help clarify the potential effect of its different components on maternal and offspring health. Here we explore the genetic contribution to total, early and late GWG.Participants and methodsA genome-wide association study was used to identify maternal and fetal variants contributing to GWG in up to 10 543 mothers and 16 317 offspring of European origin, with replication in 10 660 mothers and 7561 offspring. Additional analyses determined the proportion of variability in GWG from maternal and fetal common genetic variants and the overlap of established genome-wide significant variants for phenotypes relevant to GWG (for example, maternal body mass index (BMI) and glucose, birth weight).ResultsApproximately 20% of the variability in GWG was tagged by common maternal genetic variants, and the fetal genome made a surprisingly minor contribution to explain variation in GWG. Variants near the pregnancy-specific beta-1 glycoprotein 5 (PSG5) gene reached genome-wide significance (P=1.71 × 10-8) for total GWG in the offspring genome, but did not replicate. Some established variants associated with increased BMI, fasting glucose and type 2 diabetes were associated with lower early, and higher later GWG. Maternal variants related to higher systolic blood pressure were related to lower late GWG. Established maternal and fetal birth weight variants were largely unrelated to GWG.ConclusionsWe found a modest contribution of maternal common variants to GWG and some overlap of maternal BMI, glucose and type 2 diabetes variants with GWG. These findings suggest that associations between GWG and later offspring/maternal outcomes may be due to the relationship of maternal BMI and diabetes with GWG.

Dataset Information

Impact of exercise on maternal gestational weight gain: An updated meta-analysis of randomized controlled trials.

Background

Methods

Results

Conclusion

Publications

Impact of exercise on maternal gestational weight gain: An updated meta-analysis of randomized controlled trials.

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