Efficacy of behavioral interventions in managing gestational weight gain (GWG): A component network meta‐analysis. (19th December 2021)
- Record Type:
- Journal Article
- Title:
- Efficacy of behavioral interventions in managing gestational weight gain (GWG): A component network meta‐analysis. (19th December 2021)
- Main Title:
- Efficacy of behavioral interventions in managing gestational weight gain (GWG): A component network meta‐analysis
- Authors:
- Ranasinha, Sanjeeva
Hill, Briony
Teede, Helena J.
Enticott, Joanne
Wang, Rui
Harrison, Cheryce L. - Abstract:
- Summary: Objective: To identify the most effective behavioral components within lifestyle interventions to optimize gestational weight gain (GWG) to inform guidelines, policy and translation into healthcare. Methods: Behavioral components were identified from study level data of randomized antenatal lifestyle interventions using a behavioral taxonomy framework and analyzed using component network meta‐analysis (NMA). The NMA ranked behavioral combinations hierarchically by efficacy of optimizing GWG. Direct and estimated indirect comparisons between study arms (i.e., control and intervention) and between different component combinations were estimated to evaluate component combinations associated with greater efficacy. Results: Overall, 32 studies with 11, 066 participants were included. Each intervention contained between 3 and 7 behavioral components with 26 different behavioral combinations identified. The majority ( n = 24) of combinations were associated with optimizing GWG, with standard mean differences (SMD) ranging from −1.01 kg (95% CI −1.64 to −0.37) and −0.07 kg (−0.38 to 0.24), compared with controls. The behavioral cluster identified as most effective, included components of goals, feedback and monitoring, natural consequences, comparison of outcomes, and shaping knowledge (SMD −1.01 kg [95% CI −1.64 to −0.37]). Conclusion: Findings support the application of goal setting, feedback and monitoring, natural consequences, comparison of outcomes, and shapingSummary: Objective: To identify the most effective behavioral components within lifestyle interventions to optimize gestational weight gain (GWG) to inform guidelines, policy and translation into healthcare. Methods: Behavioral components were identified from study level data of randomized antenatal lifestyle interventions using a behavioral taxonomy framework and analyzed using component network meta‐analysis (NMA). The NMA ranked behavioral combinations hierarchically by efficacy of optimizing GWG. Direct and estimated indirect comparisons between study arms (i.e., control and intervention) and between different component combinations were estimated to evaluate component combinations associated with greater efficacy. Results: Overall, 32 studies with 11, 066 participants were included. Each intervention contained between 3 and 7 behavioral components with 26 different behavioral combinations identified. The majority ( n = 24) of combinations were associated with optimizing GWG, with standard mean differences (SMD) ranging from −1.01 kg (95% CI −1.64 to −0.37) and −0.07 kg (−0.38 to 0.24), compared with controls. The behavioral cluster identified as most effective, included components of goals, feedback and monitoring, natural consequences, comparison of outcomes, and shaping knowledge (SMD −1.01 kg [95% CI −1.64 to −0.37]). Conclusion: Findings support the application of goal setting, feedback and monitoring, natural consequences, comparison of outcomes, and shaping knowledge as essential, core components within lifestyle interventions to optimize gestational weight gain. … (more)
- Is Part Of:
- Obesity reviews. Volume 23:Number 4(2022)
- Journal:
- Obesity reviews
- Issue:
- Volume 23:Number 4(2022)
- Issue Display:
- Volume 23, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 23
- Issue:
- 4
- Issue Sort Value:
- 2022-0023-0004-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2021-12-19
- Subjects:
- behavioral taxonomy components -- gestational weight gain -- intervention -- network meta‐analysis -- pregnancy
Obesity -- Periodicals
616.398005 - Journal URLs:
- http://estar.bl.uk/cgi-bin/sciserv.pl?collection=journals&journal=14677881 ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1467-789X ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/obr.13406 ↗
- Languages:
- English
- ISSNs:
- 1467-7881
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6196.952700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21082.xml