Literature DB >> 33534854

Pregnant women's daily patterns of well-being before and during the COVID-19 pandemic in Finland: Longitudinal monitoring through smartwatch technology.

Hannakaisa Niela-Vilén1, Jennifer Auxier1, Eeva Ekholm2, Fatemeh Sarhaddi3, Milad Asgari Mehrabadi4, Aysan Mahmoudzadeh3, Iman Azimi3, Pasi Liljeberg3, Amir M Rahmani4,5,6, Anna Axelin1,2.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.

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Mesh:

Year:  2021        PMID: 33534854      PMCID: PMC7857616          DOI: 10.1371/journal.pone.0246494

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  27 in total

1.  Changing work, changing health: can real work-time flexibility promote health behaviors and well-being?

Authors:  Phyllis Moen; Erin L Kelly; Eric Tranby; Qinlei Huang
Journal:  J Health Soc Behav       Date:  2011-12

2.  A role for sleep disorders in pregnancy complications: challenges and opportunities.

Authors:  Roberto Romero; M Safwan Badr
Journal:  Am J Obstet Gynecol       Date:  2014-01       Impact factor: 8.661

3.  Post-disaster health indicators for pregnant and postpartum women and infants.

Authors:  Marianne E Zotti; Amy M Williams; Etobssie Wako
Journal:  Matern Child Health J       Date:  2015-06

Review 4.  Sleep quality during pregnancy: A meta-analysis.

Authors:  Ivan D Sedov; Emily E Cameron; Sheri Madigan; Lianne M Tomfohr-Madsen
Journal:  Sleep Med Rev       Date:  2017-06-15       Impact factor: 11.609

5.  Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale.

Authors:  J L Cox; J M Holden; R Sagovsky
Journal:  Br J Psychiatry       Date:  1987-06       Impact factor: 9.319

Review 6.  Special features of high-risk pregnancies as factors in development of mental distress: a review.

Authors:  Paula Borba Rodrigues; Carla Fonseca Zambaldi; Amaury Cantilino; Everton Botelho Sougey
Journal:  Trends Psychiatry Psychother       Date:  2016 Jul-Sep

Review 7.  Heart Rate Variability and Cardiac Vagal Tone in Psychophysiological Research - Recommendations for Experiment Planning, Data Analysis, and Data Reporting.

Authors:  Sylvain Laborde; Emma Mosley; Julian F Thayer
Journal:  Front Psychol       Date:  2017-02-20

8.  Factors influencing the quality of life of pregnant women: a systematic review.

Authors:  Nolwenn Lagadec; Magali Steinecker; Amar Kapassi; Anne Marie Magnier; Julie Chastang; Sarah Robert; Nadia Gaouaou; Gladys Ibanez
Journal:  BMC Pregnancy Childbirth       Date:  2018-11-23       Impact factor: 3.007

9.  Gestational weight gain, physical activity, sleep problems, substance use, and food intake as proximal risk factors of stress and depressive symptoms during pregnancy.

Authors:  Janina Eichler; Ricarda Schmidt; Andreas Hiemisch; Wieland Kiess; Anja Hilbert
Journal:  BMC Pregnancy Childbirth       Date:  2019-05-17       Impact factor: 3.007

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  6 in total

1.  Trends in Heart Rate and Heart Rate Variability During Pregnancy and the 3-Month Postpartum Period: Continuous Monitoring in a Free-living Context.

Authors:  Fatemeh Sarhaddi; Iman Azimi; Anna Axelin; Hannakaisa Niela-Vilen; Pasi Liljeberg; Amir M Rahmani
Journal:  JMIR Mhealth Uhealth       Date:  2022-06-03       Impact factor: 4.947

2.  Women's Depressive Symptoms during the COVID-19 Pandemic: The Role of Pregnancy.

Authors:  Karen Yirmiya; Noa Yakirevich-Amir; Heidi Preis; Amit Lotan; Shir Atzil; Inbal Reuveni
Journal:  Int J Environ Res Public Health       Date:  2021-04-18       Impact factor: 3.390

3.  Impact of COVID-19 pandemic on birth outcomes: A retrospective cohort study in Nanjing, China.

Authors:  Juan Wen
Journal:  Front Public Health       Date:  2022-07-18

4.  Prenatal stress assessment using heart rate variability and salivary cortisol: A machine learning-based approach.

Authors:  Rui Cao; Amir M Rahmani; Karen L Lindsay
Journal:  PLoS One       Date:  2022-09-09       Impact factor: 3.752

5.  Commercial smartwatch with pulse oximeter detects short-time hypoxemia as well as standard medical-grade device: Validation study.

Authors:  Jakub Rafl; Thomas E Bachman; Veronika Rafl-Huttova; Simon Walzel; Martin Rozanek
Journal:  Digit Health       Date:  2022-10-11

Review 6.  Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects.

Authors:  Rola Khamisy-Farah; Leonardo B Furstenau; Jude Dzevela Kong; Jianhong Wu; Nicola Luigi Bragazzi
Journal:  Int J Environ Res Public Health       Date:  2021-05-11       Impact factor: 3.390

  6 in total

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