Niela-Vilén Hannakaisa, Auxier Jennifer, Ekholm Eeva, Sarhaddi Fatemeh, Asgari Mehrabadi Milad, Mahmoudzadeh Aysan, Azimi Iman, Liljeberg Pasi, Rahmani Amir M, Axelin Anna
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. 2021 Feb 3;16(2):e0246494. doi: 10.1371/journal.pone.0246494. eCollection 2021.
Technology enables the continuous monitoring of personal health parameter data during pregnancy regardless of the disruption of normal daily life patterns. Our research group has established a project investigating the usefulness of an Internet of Things-based system and smartwatch technology for monitoring women during pregnancy to explore variations in stress, physical activity and sleep. The aim of this study was to examine daily patterns of well-being in pregnant women before and during the national stay-at-home restrictions related to the COVID-19 pandemic in Finland.
A longitudinal cohort study design was used to monitor pregnant women in their everyday settings. Two cohorts of pregnant women were recruited. In the first wave in January-December 2019, pregnant women with histories of preterm births (gestational weeks 22-36) or late miscarriages (gestational weeks 12-21); and in the second wave between October 2019 and March 2020, pregnant women with histories of full-term births (gestational weeks 37-42) and no pregnancy losses were recruited. The final sample size for this study was 38 pregnant women. The participants continuously used the Samsung Gear Sport smartwatch and their heart rate variability, and physical activity and sleep data were collected. Subjective stress, activity and sleep reports were collected using a smartphone application developed for this study. Data between February 12 to April 8, 2020 were included to cover four-week periods before and during the national stay-at-home restrictions. Hierarchical linear mixed models were exploited to analyze the trends in the outcome variables.
The pandemic-related restrictions were associated with changes in heart rate variability: the standard deviation of all normal inter-beat intervals (p = 0.034), low-frequency power (p = 0.040) and the low-frequency/high-frequency ratio (p = 0.013) increased compared with the weeks before the restrictions. Women's subjectively evaluated stress levels also increased significantly. Physical activity decreased when the restrictions were set and as pregnancy proceeded. The total sleep time also decreased as pregnancy proceeded, but pandemic-related restrictions were not associated with sleep. Daily rhythms changed in that the participants overall started to sleep later and woke up later.
The findings showed that Finnish pregnant women coped well with the pandemic-related restrictions and lockdown environment in terms of stress, physical activity and sleep.
技术使人们能够在孕期持续监测个人健康参数数据,而不受正常日常生活模式中断的影响。我们的研究小组开展了一个项目,调查基于物联网的系统和智能手表技术在孕期监测女性方面的实用性,以探索压力、身体活动和睡眠的变化情况。本研究的目的是调查芬兰在因新冠疫情实施全国居家限制措施之前及期间孕妇的日常健康模式。
采用纵向队列研究设计,在日常环境中监测孕妇。招募了两组孕妇。第一组在2019年1月至12月,招募有早产史(孕周22 - 36周)或晚期流产史(孕周12 - 21周)的孕妇;第二组在2019年10月至2020年3月,招募有足月产史(孕周37 - 42周)且无妊娠丢失的孕妇。本研究的最终样本量为38名孕妇。参与者持续使用三星Gear Sport智能手表,收集其心率变异性、身体活动和睡眠数据。使用为本研究开发的智能手机应用程序收集主观压力、活动和睡眠报告。纳入2020年2月12日至4月8日的数据,以涵盖全国居家限制措施实施之前及期间的四周时间。采用分层线性混合模型分析结果变量的趋势。
与疫情相关的限制措施与心率变异性变化有关:与限制措施实施前的几周相比,所有正常心跳间期的标准差(p = 0.034)、低频功率(p = 0.040)和低频/高频比值(p = 0.013)均有所增加。女性主观评估的压力水平也显著增加。限制措施实施后以及随着孕期进展身体活动减少。随着孕期进展总睡眠时间也减少,但与疫情相关的限制措施与睡眠无关。日常节律发生了变化,总体而言参与者开始晚睡晚起。
研究结果表明,芬兰孕妇在压力、身体活动和睡眠方面能够很好地应对与疫情相关的限制措施和封锁环境。