Do Lifestyle Interventions in Pregnant Women with Overweight or Obesity Have an Effect on Neonatal Adiposity? A Systematic Review with Meta-Analysis.
Naiara F BaroniNayara R BaldoniGeisa C S AlvesLívia C CrivellentiGiordana C BragaDaniela Saes SartorelliPublished in: Nutrients (2021)
Excessive body fat at birth is a risk factor for the development of childhood obesity. The aim of the present systematic review with meta-analysis was to evaluate the effect of lifestyle interventions in pregnant women with overweight or obesity on neonatal adiposity. The PubMed, Embase, Web of Science, Scopus, and LILACS databases were used as information sources. Original articles from randomized clinical trials of lifestyle intervention studies on pregnant women with excessive body weight and the effect on neonatal adiposity were considered eligible. The risk of bias was assessed using Cochrane criteria. The meta-analysis was calculated using the inverse variance for continuous data expressed as mean difference (MD), using the random effect model with a 95% confidence interval (CI). The outcomes were submitted to the GRADE evaluation. Of 2877 studies, four were included in the qualitative and quantitative synthesis (n = 1494). All studies were conducted in developed countries, with three including pregnant women with overweight or obesity, and one only pregnant women with obesity. The interventions had no effect on neonatal adiposity [Heterogeneity = 56%, MD = -0.21, CI = (-0.92, 0.50)] with low confidence in the evidence, according to GRADE. Studies are needed in low- and medium-developed countries with different ethnic-racial populations. PROSPERO (CRD42020152489).
Keyphrases
- weight gain
- weight loss
- insulin resistance
- pregnant women
- metabolic syndrome
- physical activity
- body mass index
- systematic review
- case control
- type diabetes
- high fat diet induced
- randomized controlled trial
- adipose tissue
- cardiovascular disease
- skeletal muscle
- healthcare
- high resolution
- molecular dynamics
- glycemic control
- artificial intelligence
- deep learning
- health information
- double blind
- electronic health record