O'Connor H, Willcox JC, de Jersey S, Wright C, Wilkinson SA. Digital preconception interventions targeting weight, diet and physical activity: A systematic review.
Nutr Diet 2024;
81:244-260. [PMID:
37845187 DOI:
10.1111/1747-0080.12842]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/14/2023] [Accepted: 08/31/2023] [Indexed: 10/18/2023]
Abstract
AIM
Optimising 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.
METHODS
We 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.
RESULTS
Ten 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.
CONCLUSION
More 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.
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