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Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial
OBJECTIVES: To assess, in terms of self-efficacy in weight management, the effectiveness of the SLIM lifestyle intervention among overweight or obese women during pregnancy and after delivery, and further to exploit machine learning and event mining approaches to build personalized models. Additiona...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851496/ https://www.ncbi.nlm.nih.gov/pubmed/36656819 http://dx.doi.org/10.1371/journal.pone.0279696 |
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author | Saarikko, Johanna Axelin, Anna Huvinen, Emilia Rahmani, Amir M. Azimi, Iman Pasanen, Miko Niela-Vilén, Hannakaisa |
author_facet | Saarikko, Johanna Axelin, Anna Huvinen, Emilia Rahmani, Amir M. Azimi, Iman Pasanen, Miko Niela-Vilén, Hannakaisa |
author_sort | Saarikko, Johanna |
collection | PubMed |
description | OBJECTIVES: To assess, in terms of self-efficacy in weight management, the effectiveness of the SLIM lifestyle intervention among overweight or obese women during pregnancy and after delivery, and further to exploit machine learning and event mining approaches to build personalized models. Additionally, the aim is to evaluate the implementation of the SLIM intervention. METHODS: This prospective trial, which is a non-randomized, quasi-experimental, pre-post intervention, includes an embedded mixed-method process evaluation. The SLIM Intervention is delivered by public health nurses (n = 9) working in maternity clinics. The public health nurses recruited overweight women (n = 54) at their first antenatal visit using convenience sampling. The core components of the intervention i.e. health technology, motivational interviewing, feedback, and goal setting, are utilized in antenatal visits in maternity clinics starting from gestational week 15 or less and continuing to 12 weeks after delivery. Mixed effect models are used to evaluate change over time in self-efficacy, weight management and weight change. Simple mediation models are used to assess calories consumed and moderate to vigorous physical activity (MVPA) as mediators between self-efficacy and weight change. Signal processing and machine learning techniques are exploited to extract events from the data collected via the Oura ring and smartphone-based questionnaires. DISCUSSION: The SLIM intervention was developed in collaboration with overweight women and public health nurses working in maternity clinics. This study evaluates the effectiveness of the intervention among overweight women in increasing self-efficacy and achieving a healthy weight; thus, impacting the healthy lifestyle and long-term health of the whole family. The long-term objective is to contribute to women’s health by supporting weight-management through behavior change via interventions conducted in maternity clinics. TRIAL REGISTRATION: The trial was registered at the Clinicaltrials.gov register platform (ID NCT04826861) on 17 March 2021. |
format | Online Article Text |
id | pubmed-9851496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-98514962023-01-20 Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial Saarikko, Johanna Axelin, Anna Huvinen, Emilia Rahmani, Amir M. Azimi, Iman Pasanen, Miko Niela-Vilén, Hannakaisa PLoS One Study Protocol OBJECTIVES: To assess, in terms of self-efficacy in weight management, the effectiveness of the SLIM lifestyle intervention among overweight or obese women during pregnancy and after delivery, and further to exploit machine learning and event mining approaches to build personalized models. Additionally, the aim is to evaluate the implementation of the SLIM intervention. METHODS: This prospective trial, which is a non-randomized, quasi-experimental, pre-post intervention, includes an embedded mixed-method process evaluation. The SLIM Intervention is delivered by public health nurses (n = 9) working in maternity clinics. The public health nurses recruited overweight women (n = 54) at their first antenatal visit using convenience sampling. The core components of the intervention i.e. health technology, motivational interviewing, feedback, and goal setting, are utilized in antenatal visits in maternity clinics starting from gestational week 15 or less and continuing to 12 weeks after delivery. Mixed effect models are used to evaluate change over time in self-efficacy, weight management and weight change. Simple mediation models are used to assess calories consumed and moderate to vigorous physical activity (MVPA) as mediators between self-efficacy and weight change. Signal processing and machine learning techniques are exploited to extract events from the data collected via the Oura ring and smartphone-based questionnaires. DISCUSSION: The SLIM intervention was developed in collaboration with overweight women and public health nurses working in maternity clinics. This study evaluates the effectiveness of the intervention among overweight women in increasing self-efficacy and achieving a healthy weight; thus, impacting the healthy lifestyle and long-term health of the whole family. The long-term objective is to contribute to women’s health by supporting weight-management through behavior change via interventions conducted in maternity clinics. TRIAL REGISTRATION: The trial was registered at the Clinicaltrials.gov register platform (ID NCT04826861) on 17 March 2021. Public Library of Science 2023-01-19 /pmc/articles/PMC9851496/ /pubmed/36656819 http://dx.doi.org/10.1371/journal.pone.0279696 Text en © 2023 Saarikko et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Study Protocol Saarikko, Johanna Axelin, Anna Huvinen, Emilia Rahmani, Amir M. Azimi, Iman Pasanen, Miko Niela-Vilén, Hannakaisa Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial |
title | Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial |
title_full | Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial |
title_fullStr | Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial |
title_full_unstemmed | Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial |
title_short | Supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (SLIM) -intervention for overweight pregnant women: Study protocol for a quasi-experimental trial |
title_sort | supporting lifestyle change in obese pregnant mothers through the wearable internet-of-things (slim) -intervention for overweight pregnant women: study protocol for a quasi-experimental trial |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851496/ https://www.ncbi.nlm.nih.gov/pubmed/36656819 http://dx.doi.org/10.1371/journal.pone.0279696 |
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