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Evaluating preconception health and behaviour change following a digital intervention: OptimalMe

BACKGROUND: Reproductive-aged women are a high-risk group for accelerated weight gain and obesity development. The objective of the current study was to assess the impact of a digital healthy lifestyle intervention for women planning a pregnancy, in optimising preconception health and lifestyle beha...

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Autores principales: Brammall, B R, Garad, R M, Teede, H J, Harrison, C L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595130/
http://dx.doi.org/10.1093/eurpub/ckad160.1226
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author Brammall, B R
Garad, R M
Teede, H J
Harrison, C L
author_facet Brammall, B R
Garad, R M
Teede, H J
Harrison, C L
author_sort Brammall, B R
collection PubMed
description BACKGROUND: Reproductive-aged women are a high-risk group for accelerated weight gain and obesity development. The objective of the current study was to assess the impact of a digital healthy lifestyle intervention for women planning a pregnancy, in optimising preconception health and lifestyle behaviours. METHODS: Australian women with the intention to conceive were invited to participate in OptimalMe. To be eligible women must be aged 18-44 years, not pregnant but wanting to conceive within 12 months of recruitment and have internet access. All participants receive the same digital lifestyle intervention, supported by health coaching and text messages during preconception. A parallel 2-arm design with sequential randomisation to compare telephone with videoconference delivery methods for health coaching was adopted. RESULTS: Overall, 298 women enrolled, with a mean ± (SD) age of 31.7 (4.6) years and BMI 25.5 (6.3) kg/m2. Suboptimal preconception behaviours were reported at baseline including alcohol consumption (57.0%), infrequent weighing (37.2%), and incomplete cervical cancer screening (15.8%) and prenatal supplementation (38.6%). The OptimalMe evaluation was completed by 217 women, 72.8% of the study population, an average of 4.5 months after commencing the intervention. At follow-up, a significant shift towards desired behaviours was reported for alcohol consumption (non-drinker) (z = 2.727, p = 0.00634), prenatal supplementation (taking supplement) (z=-11.082, p < 0.00001) and weighing behaviour (frequent weigher) (z=-5.291, p < 0.00001). CONCLUSIONS: Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy. Post intervention outcomes suggest that remotely delivered preconception interventions improve lifestyle behaviours and engagement with clinical preconception care objectives. KEY MESSAGES: • Digital health interventions show positive change to important lifestyle behaviours. • Women planning a pregnancy demonstrate sub optional health and lifestyle behaviours therefore interventions are needed to improve this.
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spelling pubmed-105951302023-10-25 Evaluating preconception health and behaviour change following a digital intervention: OptimalMe Brammall, B R Garad, R M Teede, H J Harrison, C L Eur J Public Health Poster Displays BACKGROUND: Reproductive-aged women are a high-risk group for accelerated weight gain and obesity development. The objective of the current study was to assess the impact of a digital healthy lifestyle intervention for women planning a pregnancy, in optimising preconception health and lifestyle behaviours. METHODS: Australian women with the intention to conceive were invited to participate in OptimalMe. To be eligible women must be aged 18-44 years, not pregnant but wanting to conceive within 12 months of recruitment and have internet access. All participants receive the same digital lifestyle intervention, supported by health coaching and text messages during preconception. A parallel 2-arm design with sequential randomisation to compare telephone with videoconference delivery methods for health coaching was adopted. RESULTS: Overall, 298 women enrolled, with a mean ± (SD) age of 31.7 (4.6) years and BMI 25.5 (6.3) kg/m2. Suboptimal preconception behaviours were reported at baseline including alcohol consumption (57.0%), infrequent weighing (37.2%), and incomplete cervical cancer screening (15.8%) and prenatal supplementation (38.6%). The OptimalMe evaluation was completed by 217 women, 72.8% of the study population, an average of 4.5 months after commencing the intervention. At follow-up, a significant shift towards desired behaviours was reported for alcohol consumption (non-drinker) (z = 2.727, p = 0.00634), prenatal supplementation (taking supplement) (z=-11.082, p < 0.00001) and weighing behaviour (frequent weigher) (z=-5.291, p < 0.00001). CONCLUSIONS: Results indicate that women who are actively planning a pregnancy require support to optimise health and lifestyle in preparation for pregnancy. Post intervention outcomes suggest that remotely delivered preconception interventions improve lifestyle behaviours and engagement with clinical preconception care objectives. KEY MESSAGES: • Digital health interventions show positive change to important lifestyle behaviours. • Women planning a pregnancy demonstrate sub optional health and lifestyle behaviours therefore interventions are needed to improve this. Oxford University Press 2023-10-24 /pmc/articles/PMC10595130/ http://dx.doi.org/10.1093/eurpub/ckad160.1226 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Poster Displays
Brammall, B R
Garad, R M
Teede, H J
Harrison, C L
Evaluating preconception health and behaviour change following a digital intervention: OptimalMe
title Evaluating preconception health and behaviour change following a digital intervention: OptimalMe
title_full Evaluating preconception health and behaviour change following a digital intervention: OptimalMe
title_fullStr Evaluating preconception health and behaviour change following a digital intervention: OptimalMe
title_full_unstemmed Evaluating preconception health and behaviour change following a digital intervention: OptimalMe
title_short Evaluating preconception health and behaviour change following a digital intervention: OptimalMe
title_sort evaluating preconception health and behaviour change following a digital intervention: optimalme
topic Poster Displays
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10595130/
http://dx.doi.org/10.1093/eurpub/ckad160.1226
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