Related Experiment Video
Updated: Feb 7, 2026

Meta-Analysis of the Effectiveness and Safety of Shugan Jieyu Capsules for the Treatment of Insomnia
Published on: February 17, 2023
Attenuating Pregnancy Weight Gain-What Works and Why: A Systematic Review and Meta-Analysis
Ruth Walker1, Christie Bennett2, Michelle Blumfield3
1Department of Nutrition and Dietetics and Food, School of Clinical Sciences, Monash University, Clayton VIC 3168, Australia. ruth.walker@monash.edu.
Excessive maternal gestational weight gain (GWG) contributes to generational obesity. Our aim was to explore efficacy and intervention characteristics (trimester, duration, frequency, intensity, and delivery method) of interventions to prevent excessive GWG. CINAHL, Cochrane, EMBASE, LILACS, MEDLINE, PsycINFO, and Scopus were searched up to May 2018 (no date or language restrictions). Keywords and MeSH terms for diet, GWG, intervention, lifestyle, maternal, physical activity, and pregnancy were used to locate randomized-controlled trials (RCTs). The Cochrane Collaboration tool for assessing risk of bias was applied. Eighty-nine RCTs were included. Meta-analysis (60 trials) estimated that women in diet only (WMD: -3.27; 95% CI: -4.96, -1.58, p < 0.01), physical activity (PA) (WMD: -1.02; 95% CI: -1.56, -0.49, p < 0.01), and lifestyle interventions (combining diet and PA) (WMD: -0.84; 95% CI: -1.29, -0.39, p < 0.01) gained significantly less weight than controls. The three eHealth interventions favored neither intervention nor control (WMD: -1.06; 95% CI: -4.13, 2.00, p = 0.50). Meta-regression demonstrated no optimal duration, frequency, intensity, setting, or diet type. Traditional face to face delivery of weight management interventions during pregnancy can be successful. Delivery via eHealth has potential to extend its reach to younger women but needs further evaluation of its success.
Excessive maternal gestational weight gain (GWG) contributes to generational obesity. Our aim was to explore efficacy and intervention characteristics (trimester, duration, frequency, intensity, and delivery method) of interventions to prevent excessive GWG. CINAHL, Cochrane, EMBASE, LILACS, MEDLINE, PsycINFO, and Scopus were searched up to May 2018 (no date or language restrictions). Keywords and MeSH terms for diet, GWG, intervention, lifestyle, maternal, physical activity, and pregnancy were used to locate randomized-controlled trials (RCTs). The Cochrane Collaboration tool for assessing risk of bias was applied. Eighty-nine RCTs were included. Meta-analysis (60 trials) estimated that women in diet only (WMD: -3.27; 95% CI: -4.96, -1.58, p < 0.01), physical activity (PA) (WMD: -1.02; 95% CI: -1.56, -0.49, p < 0.01), and lifestyle interventions (combining diet and PA) (WMD: -0.84; 95% CI: -1.29, -0.39, p < 0.01) gained significantly less weight than controls. The three eHealth interventions favored neither intervention nor control (WMD: -1.06; 95% CI: -4.13, 2.00, p = 0.50). Meta-regression demonstrated no optimal duration, frequency, intensity, setting, or diet type. Traditional face to face delivery of weight management interventions during pregnancy can be successful. Delivery via eHealth has potential to extend its reach to younger women but needs further evaluation of its success.
Related Concept Videos
Transcription Attenuation in Prokaryotes
There are several different mechanisms used to attenuate transcription. In ribosome mediated...
Gain
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
Review and Preview
Percentiles are a type of fractile that partition data into...
Review and Preview
Weighted Mean
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
Random and Systematic Errors

