A Systematic Review and Bayesian Network Meta-Analysis Comparing In-Person, Remote, and Blended Interventions in Physical Activity, Diet, Education, and Behavioral Modification on Gestational Weight Gain among Overweight or Obese Pregnant Individuals.
Hongli YuMingmao LiGuoping QianShuqi YueZbigniew OssowskiAnna SzumilewiczPublished in: Advances in nutrition (Bethesda, Md.) (2024)
Preliminary findings suggest that the I-D intervention is the most efficacious in managing GWG among pregnant women who are overweight or obese, followed by I-PADB and I-B+R-B(m) treatments. These conclusions are drawn from evidence of limited quality and directness, including insufficient data on PA components used in the interventions. Owing to the absence of robust, direct evidence delineating significant differences among various GWG management strategies, it is tentatively proposed that the I-D intervention is likely the most effective approach. This study was registered with PROSPERO as CRD42023473627.
Keyphrases
- weight gain
- physical activity
- weight loss
- body mass index
- birth weight
- randomized controlled trial
- bariatric surgery
- systematic review
- adipose tissue
- metabolic syndrome
- type diabetes
- quality improvement
- healthcare
- pregnant women
- meta analyses
- electronic health record
- machine learning
- sleep quality
- artificial intelligence
- network analysis
- case control