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Review
. 2022 Apr;23(4):e13406.
doi: 10.1111/obr.13406. Epub 2021 Dec 19.

Efficacy of behavioral interventions in managing gestational weight gain (GWG): A component network meta-analysis

Sanjeeva Ranasinha  1 , Briony Hill  2 , Helena J Teede  1   3 , Joanne Enticott  1 , Rui Wang  4 , Cheryce L Harrison  1   3
Affiliations
Review

Efficacy of behavioral interventions in managing gestational weight gain (GWG): A component network meta-analysis

Sanjeeva Ranasinha et al. Obes Rev. 2022 Apr.

Abstract

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.

Keywords: behavioral taxonomy components; gestational weight gain; intervention; network meta-analysis; pregnancy.

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References

REFERENCES

    1. Rasmussen K, Yaktine AL, eds. Institute of Medicine and National Research Council Committee to Reexamine IOM Pregnancy Weight Guidelines. 2009.
    1. Goldstein RF, Abell SK, Ranasinha S, et al. Association of gestational weight gain with maternal and infant outcomes: A systematic review and meta-analysis. JAMA. 2017;317(21):2207-2225. https://doi.org/10.1001/jama.2017.3635
    1. The International Weight Management in Pregnancy (i-WIP) Collaborative. Effect of diet and physical activity based interventions in pregnancy on gestational weight gain and pregnancy outcomes: Meta-analysis of individual participant data from randomised trials. BMJ. 2017;358:j3119-j3134.
    1. Hill B, Skouteris H, Boyle JA, et al. Health in preconception, pregnancy and postpartum global alliance: International network pregnancy priorities for the prevention of maternal obesity and related pregnancy and long-term complications. J Clin Med. 2020;9(3):822-835. https://doi.org/10.3390/jcm9030822
    1. Hill B, Skouteris H, Fuller-Tyszkiewicz M. Interventions designed to limit gestational weight gain: a systematic review of theory and meta-analysis of intervention components. Obes Rev. 2013;14(6):435-450. https://doi.org/10.1111/obr.12022

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