Department of Nursing Science, University of Turku, Turku, Finland.
Department of Obstetrics and Gynaecology, Turku University Hospital and Faculty of Medicine, University of Turku, Turku, Finland.
PLoS One. 2023 Jan 19;18(1):e0279696. doi: 10.1371/journal.pone.0279696. eCollection 2023.
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.
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.
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.
The trial was registered at the Clinicaltrials.gov register platform (ID NCT04826861) on 17 March 2021.
评估 SLIM 生活方式干预在超重或肥胖孕妇及产后体重管理自我效能方面的效果,并利用机器学习和事件挖掘方法构建个性化模型。此外,还旨在评估 SLIM 干预的实施情况。
这是一项前瞻性试验,采用非随机、准实验、前后干预设计,嵌入了混合方法过程评价。SLIM 干预由在妇产科诊所工作的公共卫生护士(n=9)提供。公共卫生护士使用便利抽样在孕妇第一次产前检查时招募超重女性(n=54)。干预的核心组成部分,即健康技术、动机访谈、反馈和目标设定,从妊娠 15 周或更早开始,在妇产科诊所的产前访视中使用,并持续到产后 12 周。混合效应模型用于评估自我效能、体重管理和体重变化随时间的变化。简单中介模型用于评估卡路里摄入和中等到剧烈体力活动(MVPA)作为自我效能与体重变化之间的中介。利用信号处理和机器学习技术从 Oura 戒指和智能手机问卷调查中收集的数据中提取事件。
SLIM 干预是与超重女性和在妇产科诊所工作的公共卫生护士合作开发的。本研究评估了该干预措施在提高超重女性自我效能和实现健康体重方面的有效性,从而影响整个家庭的健康生活方式和长期健康。长期目标是通过在妇产科诊所开展的干预措施,通过行为改变支持体重管理,为妇女健康做出贡献。
该试验于 2021 年 3 月 17 日在 Clinicaltrials.gov 注册平台(注册号 NCT04826861)注册。