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Kember AJ, Selvarajan R, Park E, Huang H, Zia H, Rahman F, Akbarian S, Taati B, Hobson SR, Dolatabadi E. Vision-based detection and quantification of maternal sleeping position in the third trimester of pregnancy in the home setting-Building the dataset and model. PLOS DIGITAL HEALTH 2023; 2:e0000353. [PMID: 37788239 PMCID: PMC10547173 DOI: 10.1371/journal.pdig.0000353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 08/17/2023] [Indexed: 10/05/2023]
Abstract
In 2021, the National Guideline Alliance for the Royal College of Obstetricians and Gynaecologists reviewed the body of evidence, including two meta-analyses, implicating supine sleeping position as a risk factor for growth restriction and stillbirth. While they concluded that pregnant people should be advised to avoid going to sleep on their back after 28 weeks' gestation, their main critique of the evidence was that, to date, all studies were retrospective and sleeping position was not objectively measured. As such, the Alliance noted that it would not be possible to prospectively study the associations between sleeping position and adverse pregnancy outcomes. Our aim was to demonstrate the feasibility of building a vision-based model for automated and accurate detection and quantification of sleeping position throughout the third trimester-a model with the eventual goal to be developed further and used by researchers as a tool to enable them to either confirm or disprove the aforementioned associations. We completed a Canada-wide, cross-sectional study in 24 participants in the third trimester. Infrared videos of eleven simulated sleeping positions unique to pregnancy and a sitting position both with and without bed sheets covering the body were prospectively collected. We extracted 152,618 images from 48 videos, semi-randomly down-sampled and annotated 5,970 of them, and fed them into a deep learning algorithm, which trained and validated six models via six-fold cross-validation. The performance of the models was evaluated using an unseen testing set. The models detected the twelve positions, with and without bed sheets covering the body, achieving an average precision of 0.72 and 0.83, respectively, and an average recall ("sensitivity") of 0.67 and 0.76, respectively. For the supine class with and without bed sheets covering the body, the models achieved an average precision of 0.61 and 0.75, respectively, and an average recall of 0.74 and 0.81, respectively.
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Affiliation(s)
- Allan J. Kember
- Department of Obstetrics and Gynaecology, University of Toronto, Toronto, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Shiphrah Biomedical Inc., Toronto, Canada
| | - Rahavi Selvarajan
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
| | - Emma Park
- Shiphrah Biomedical Inc., Toronto, Canada
| | - Henry Huang
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
| | - Hafsa Zia
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Farhan Rahman
- Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
| | | | - Babak Taati
- Institute of Biomedical Engineering, University of Toronto, Toronto, Canada
- Vector Institute, Toronto, Canada
- Department of Computer Science, University of Toronto, Toronto, Canada
| | - Sebastian R. Hobson
- Department of Obstetrics and Gynaecology, University of Toronto, Toronto, Canada
- Department of Obstetrics and Gynaecology, Maternal-Fetal Medicine Division, Mount Sinai Hospital, Toronto, Canada
| | - Elham Dolatabadi
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
- Vector Institute, Toronto, Canada
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Pitsillos T, Wikström AK, Skalkidou A, Derntl B, Hallschmid M, Lutz ND, Ngai E, Sundström Poromaa I, Wikman A. Association Between Objectively Assessed Sleep and Depressive Symptoms During Pregnancy and Post-partum. Front Glob Womens Health 2022; 2:807817. [PMID: 35174357 PMCID: PMC8841694 DOI: 10.3389/fgwh.2021.807817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 12/24/2021] [Indexed: 12/05/2022] Open
Abstract
Introduction Sleep problems are common in pregnancy but many studies have relied only on self-reported sleep measures. We studied the association between objectively measured sleep and peripartum depressive symptoms in pregnant women. Material and Methods Sleep was assessed using Actiwatch accelerometers in a sample of 163 pregnant women in the late first (weeks 11–15) or early second trimester (weeks 16–19). Depressive symptoms were assessed in gestational weeks 17, 32 and at 6 weeks post-partum using the Edinburgh Postnatal Depression Scale (EPDS). Multiple linear regression and logistic regression analyses, adjusting for age, BMI, pre-pregnancy smoking, ongoing mental health problems, trimester and season of sleep assessment were carried out to test the association between sleep and depression. Sleep was measured by total sleep time and sleep efficiency, whereas depression was indicated by depressive symptoms and depression caseness. Results are presented as unstandardized beta (B) coefficients or adjusted odds ratios (AOR) and 95% confidence intervals (CI). Results Total sleep time ranged from 3 to 9 h (mean 7.1, SD 0.9) and average sleep efficiency was 83% (SD 6.0). Women with the shortest total sleep time, i.e., in the lowest quartile (<6.66 h), reported higher depressive symptoms during pregnancy (week 17, B = 2.13, 95% CI 0.30–3.96; week 32, B = 1.70, 95% CI 0.03–3.37) but not post-partum. Their probability to screen positive for depression in gestational week 17 was increased more than 3-fold (AOR = 3.46, 95% CI 1.07–11.51) but unchanged with regards to gestational week 32 or 6 weeks post-partum. Sleep efficiency was not associated with depressive symptoms at any stage of pregnancy or post-partum. Discussion In one of the few studies to use objective sleep measures to date, mental health of pregnant women appeared to be affected by shortened sleep, with total sleep time being negatively associated with depressive symptoms in the early second and third trimester. This finding highlights the relevance of identifying and treating sleep impairments in pregnant women early during antenatal care to reduce the risk of concomitant depression.
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Affiliation(s)
- Tryfonas Pitsillos
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Anna-Karin Wikström
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Alkistis Skalkidou
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Birgit Derntl
- Department of Psychiatry and Psychotherapy, Tübingen Center for Mental Health, University of Tübingen, Tübingen, Germany
- Lead Graduate School, University of Tübingen, Tübingen, Germany
| | - Manfred Hallschmid
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- German Center for Diabetes Research (DZD), Tübingen, Germany
- Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Center Munich at the University of Tübingen, Tübingen, Germany
| | - Nicolas D. Lutz
- Institute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Tübingen, Germany
- Institute of Medical Psychology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Edith Ngai
- Department of Information Technology, Uppsala University, Uppsala, Sweden
- Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | | | - Anna Wikman
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- *Correspondence: Anna Wikman
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