Digital preconception interventions targeting weight, diet and physical activity: A systematic review

Author:

O'Connor Hannah12ORCID,Willcox Jane C.3ORCID,de Jersey Susan12ORCID,Wright Charlotte4,Wilkinson Shelley A.456ORCID

Affiliation:

1. Centre for Clinical Research and Perinatal Research Centre, Faculty of Medicine The University of Queensland Brisbane Queensland Australia

2. Department of Nutrition and Dietetics, Royal Brisbane and Women's Hospital Metro North Hospital and Health Service, Butterfield Street Herston Brisbane Queensland Australia

3. Faculty of Health Charles Darwin University Darwin Northwest Territories Australia

4. School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences The University of Queensland St Lucia Queensland Australia

5. Lifestyle Maternity Brisbane Queensland Australia

6. Department of Obstetric Medicine Mater Mothers' Hospitals Brisbane Queensland Australia

Abstract

AbstractAimOptimising preconception health increases the likelihood of conception, positively influences short‐ and long‐term pregnancy outcomes and reduces intergenerational chronic disease risk. Our aim was to synthesise study characteristics and maternal outcomes of digital or blended (combining face to face and digital modalities) interventions in the preconception period.MethodsWe searched six databases (PubMed, Cochrane, Embase, Web of Science, CINHAL and PsycINFO) from 1990 to November 2022 according to the PRISMA guidelines for randomised control trials, quasi‐experimental trials, observation studies with historical control group. Studies were included if they targeted women of childbearing age, older than 18 years, who were not currently pregnant and were between pregnancies or/and actively trying to conceive. Interventions had to be delivered digitally or via digital health in combination with face‐to‐face delivery and aimed to improve modifiable behaviours, including dietary intake, physical activity, weight and supplementation. Studies that included women diagnosed with type 1 or 2 diabetes were excluded. Risk of bias was assessed using the Academy of Nutrition and Dietetics quality criteria checklist. Study characteristics, intervention characteristics and outcome data were extracted.ResultsTen studies (total participants n=4,461) were included, consisting of nine randomised control trials and one pre–post cohort study. Seven studies received a low risk of bias and two received a neutral risk of bias. Four were digitally delivered and six were delivered using blended modalities. A wide range of digital delivery modalities were employed, with the most common being email and text messaging. Other digital delivery methods included web‐based educational materials, social media, phone applications, online forums and online conversational agents. Studies with longer engagement that utilised blended delivery showed greater weight loss.ConclusionMore effective interventions appear to combine both traditional and digital delivery methods. More research is needed to adequately test effective delivery modalities across a diverse range of digital delivery methods, as high heterogeneity was observed across the small number of included studies.

Publisher

Wiley

Subject

Nutrition and Dietetics,Public Health, Environmental and Occupational Health,Medicine (miscellaneous)

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