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Glazer TA, Gunderson KA, Deroo E, Shaffrey EC, Mann H, Matabele MN, Minter RM, Iruretagoyena JI, Rectenwald JE. Providing a Safe Pregnancy Experience for Surgeons: A Review. JAMA Surg 2024:2822314. [PMID: 39141361 DOI: 10.1001/jamasurg.2024.0979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Importance Childbearing has been a particular barrier to successful recruitment and retention of women in surgery. Pregnant surgeons are more likely to have major pregnancy complications, such as preterm delivery, intrauterine growth restriction, infertility, and miscarriage, compared with nonsurgeons. The average obstetric complication rate for surgeons ranges between 25% and 82% in the literature and is considerably higher than that in the general US population at 5% to 15%. Observations The risks that pregnant surgeons experience were individually analyzed. These risks included missed prenatal care; musculoskeletal hazards, such as prolonged standing, lifting, and bending; long work hours; overnight calls; exposure to teratogenic agents, such as ionizing radiation, anesthetic gases, chemotherapy agents, and methyl methacrylate; and psychological stress and discrimination from the long-standing stigma associated with balancing motherhood and professional life. Conclusions and Relevance A clear, translatable, and enforceable policy addressing perinatal care of surgeons was proposed, citing evidence of the risks reviewed from the literature. A framework of protection for pregnant individuals is essential for attracting talented students into surgery, retaining talented surgical trainees and faculty, and protecting pregnant surgeons and their fetuses.
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Affiliation(s)
- Tiffany A Glazer
- Department of Surgery, University of Wisconsin Hospitals and Clinics, Madison
- University of Wisconsin School of Medicine and Public Health, Madison
| | - Kirsten A Gunderson
- Department of Surgery, University of Wisconsin Hospitals and Clinics, Madison
| | - Elise Deroo
- Department of Surgery, University of Wisconsin Hospitals and Clinics, Madison
| | - Ellen C Shaffrey
- Department of Surgery, University of Wisconsin Hospitals and Clinics, Madison
| | - Hayley Mann
- Department of Surgery, University of Wisconsin Hospitals and Clinics, Madison
| | - Maya N Matabele
- University of Wisconsin School of Medicine and Public Health, Madison
| | - Rebecca M Minter
- Department of Surgery, University of Wisconsin Hospitals and Clinics, Madison
- University of Wisconsin School of Medicine and Public Health, Madison
| | - J Igor Iruretagoyena
- University of Wisconsin School of Medicine and Public Health, Madison
- Department of Obstetrics and Gynecology, University of Wisconsin Hospitals and Clinics, Madison
| | - John E Rectenwald
- Department of Surgery, University of Wisconsin Hospitals and Clinics, Madison
- University of Wisconsin School of Medicine and Public Health, Madison
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Sobol M, Błachnio A, Meisner M, Szyszkowska J, Jankowski KS. Sleep, circadian activity patterns and postpartum depression: A systematic review and meta-analysis of actigraphy studies. J Sleep Res 2024; 33:e14116. [PMID: 38095248 DOI: 10.1111/jsr.14116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/15/2023] [Accepted: 11/14/2023] [Indexed: 01/16/2024]
Abstract
Transition to motherhood is a period full of challenges and demands. In this review, we focused on the associations of sleep and circadian activity patterns during and after pregnancy with postpartum mental health factors. A systematic review and meta-analysis were conducted (PROSPERO reference 316,505). A search for articles was performed using PsycARTICLES, PsycINFO, PubMed, MEDLINE, Scopus, Cochrane, DARE, hand search, and citation tracking. The search was meant to identify peer-reviewed, experimental and observational studies reporting on women over 18 years old that assessed sleep and circadian activity patterns during pregnancy or postpartum using actigraphy, and investigated postpartum mental health factors. Nineteen relevant publications were selected. Postpartum total sleep at night was the indicator that was most closely related to the psychological functioning of women after childbirth. The results of the systematic review indicated that postpartum total sleep at night was related to postpartum fatigue, and the results of the meta-analysis suggested that total sleep at night was most strongly linked with postpartum depression. More studies are needed to estimate the associations of sleep-wake rhythm during pregnancy and in the postpartum period with postpartum mental health factors.
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Affiliation(s)
| | - Agata Błachnio
- Department of Psychology, Catholic University of Lublin, Lublin, Poland
| | - Michał Meisner
- Department of Psychology, University of Warsaw, Warsaw, Poland
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Scarpelli S, Alfonsi V, De Gennaro L, Gorgoni M. Dreaming for two: A systematic review of mental sleep activity during pregnancy. Neurosci Biobehav Rev 2024; 163:105763. [PMID: 38852848 DOI: 10.1016/j.neubiorev.2024.105763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/03/2024] [Accepted: 06/06/2024] [Indexed: 06/11/2024]
Abstract
Changes in sleep and dreams are often observed during pregnancy. Dreaming may represent privileged access to the inner world of individuals, providing relevant information about their well-being. For this reason, a growing but heterogeneous literature has investigated dream experiences of pregnant women. The present paper aimed to systematically review the available evidence on the relationship between pregnancy and oneric activity, focusing on dream and nightmare frequency, dream contents, and emotional features. Moreover, dream changes between pre-partum and post-partum periods and the impact of previous pregnancy-related adverse events on dreaming have been summarized. Overall, 17 studies have been examined. The reviewed evidence suggests that women tend to have an abundant production of dreams and nightmares during pregnancy, and some results support the view that a high rate of dream recall is associated with poor sleep quality. Most studies have shown a high presence of pregnancy-related dream content, likely reflecting waking experiences and concerns. Additionally, dreaming may promote psychological preparation and activation of functional coping strategies to face life changes after childbirth.
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Affiliation(s)
- Serena Scarpelli
- Department of Psychology, Sapienza University of Rome, Rome, Italy.
| | | | - Luigi De Gennaro
- Department of Psychology, Sapienza University of Rome, Rome, Italy; IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Maurizio Gorgoni
- Department of Psychology, Sapienza University of Rome, Rome, Italy; IRCCS Fondazione Santa Lucia, Rome, Italy
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Verma S, Pinnington DM, Manber R, Bei B. Sleep-wake timing and chronotype in perinatal periods: longitudinal changes and associations with insomnia symptoms, sleep-related impairment, and mood from pregnancy to 2 years postpartum. J Sleep Res 2024; 33:e14021. [PMID: 37608515 DOI: 10.1111/jsr.14021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 06/27/2023] [Accepted: 08/02/2023] [Indexed: 08/24/2023]
Abstract
Across the perinatal transition, existing research focuses mainly on significant changes in sleep duration and quality, neglecting sleep timing. This study investigated change trajectories of sleep timing and chronotype from late pregnancy to 2 years postpartum and examined longitudinal associations of chronotype with symptoms of insomnia, daytime sleep-related impairment, and mood. Data were from a two-arm randomised controlled trial testing parent-focused wellbeing interventions. Participants were a community sample of nullipara without severe sleep/mental health conditions. Participants self-reported bedtime, rise-time, chronotype, insomnia symptoms, sleep-related impairment, depression, and anxiety at seven time points: gestation Weeks 30 and 35, and postpartum Months 1.5, 3, 6, 12 and 24. Trajectories were estimated using mixed-effects models with continuous time, quadratic splines, and a knot at childbirth, controlling for age and group allocation. A total of 163 participants (mean [SD] age 33.35 [3.42] years) took part. Bedtime and rise-times delayed during late pregnancy (~8 and ~20 min, respectively) but became progressively earlier (~20 and ~60 min, respectively) over the 2 postpartum years. Chronotype became more eveningness in late pregnancy, and more morningness after childbirth, however changes were small. Controlling for sleep duration and efficiency, greater morningness was associated with significantly less symptoms of insomnia and sleep-related impairment over time (all p < 0.001); longitudinal associations between chronotype and symptoms of depression and anxiety were non-significant (all p > 0.65). Sleep-wake timing and chronotype became progressively earlier from pregnancy to 2 years postpartum. Morningness chronotype may be sleep-protective during the transition from pregnancy to parenthood. Mechanisms underlying these associations require further research.
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Affiliation(s)
- Sumedha Verma
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Donna M Pinnington
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Women's Mental Health Service, Department of Psychiatry, University of Melbourne, Royal Women's Hospital, Parkville, Victoria, Australia
| | - Rachel Manber
- Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California, USA
| | - Bei Bei
- The Turner Institute for Brain and Mental Health, School of Psychological Sciences, Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Women's Mental Health Service, Department of Psychiatry, University of Melbourne, Royal Women's Hospital, Parkville, Victoria, Australia
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5
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Lähde H, Karlsson H, Karlsson L, Perasto L, Varis V, Rinne K, Paavonen EJ, Polo-Kantola P. Sleep disturbances in late pregnancy: associations with induction of labor. Arch Gynecol Obstet 2024:10.1007/s00404-024-07492-4. [PMID: 38580856 DOI: 10.1007/s00404-024-07492-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 03/21/2024] [Indexed: 04/07/2024]
Abstract
PURPOSE Sleep disturbances, which are common during pregnancy, may compromise labor. Nevertheless, little is known about associations between sleep disturbances and the likelihood of ending up induction of labor (IOL). Accordingly, we aimed to evaluate the connections between sleep disturbances during pregnancy and IOL. METHODS Altogether 1778 women from the FinnBrain Birth Cohort Study with gestation weeks over 37 + 6 were enrolled in the study. The women were divided into IOL (n = 331) and spontaneous onset of labor (SOL, n = 1447) groups. Sleep disturbances in late pregnancy were evaluated using the Basic Nordic Sleep Questionnaire. Logistic regression analyses were conducted with adjustments for age, body mass index, parity, smoking, and depressive symptoms. RESULTS Sleep disturbances were frequent in both IOL and SOL groups. In the IOL group 43.0% and in the SOL group 39.0% had poor general sleep quality (P = 0.186). Nocturnal awakenings occurred most commonly, in 94.0% and 93.9%, respectively (P = 0.653). In the IOL group, more women (22.7%) were habitual snorers than in the SOL group (17.0%, P = 0.017), however, the difference lost the statistical significance in adjusted analysis (P = 0.848). Women in the IOL group were more likely to be short sleepers (< 7 h) compared to those in the SOL group (20.2% and 15.4%, respectively, P = 0.034) with no difference after adjustment (P = 0.133). The two groups showed no differences in sleep loss (P = 0.252). CONCLUSIONS Deterioration in sleep quality was noticeable in pregnant women, but it was unconnected with IOL. As the frequency of IOL is increasing, more research for related risk factors is needed.
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Affiliation(s)
- Henna Lähde
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Savitehtaankatu 5, 20521, Turku, Finland.
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Department of Clinical Medicine, Turku Brain and Mind Center, University of Turku, Turku, Finland
- Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Department of Clinical Medicine, Turku Brain and Mind Center, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
- Department of Clinical Medicine, Pediatrics and Adolescent Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Laura Perasto
- FinnBrain Birth Cohort Study, Department of Clinical Medicine, Turku Brain and Mind Center, University of Turku, Turku, Finland
- Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Viliina Varis
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Savitehtaankatu 5, 20521, Turku, Finland
| | - Kirsi Rinne
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Savitehtaankatu 5, 20521, Turku, Finland
| | - E Juulia Paavonen
- The Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Child Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Päivi Polo-Kantola
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Savitehtaankatu 5, 20521, Turku, Finland
- Sleep Research Unit, University of Turku, Turku, Finland
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6
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Johnson CE, Duncan MJ, Murphy MP. Sex and Sleep Disruption as Contributing Factors in Alzheimer's Disease. J Alzheimers Dis 2024; 97:31-74. [PMID: 38007653 PMCID: PMC10842753 DOI: 10.3233/jad-230527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2023]
Abstract
Alzheimer's disease (AD) affects more women than men, with women throughout the menopausal transition potentially being the most under researched and at-risk group. Sleep disruptions, which are an established risk factor for AD, increase in prevalence with normal aging and are exacerbated in women during menopause. Sex differences showing more disrupted sleep patterns and increased AD pathology in women and female animal models have been established in literature, with much emphasis placed on loss of circulating gonadal hormones with age. Interestingly, increases in gonadotropins such as follicle stimulating hormone are emerging to be a major contributor to AD pathogenesis and may also play a role in sleep disruption, perhaps in combination with other lesser studied hormones. Several sleep influencing regions of the brain appear to be affected early in AD progression and some may exhibit sexual dimorphisms that may contribute to increased sleep disruptions in women with age. Additionally, some of the most common sleep disorders, as well as multiple health conditions that impair sleep quality, are more prevalent and more severe in women. These conditions are often comorbid with AD and have bi-directional relationships that contribute synergistically to cognitive decline and neuropathology. The association during aging of increased sleep disruption and sleep disorders, dramatic hormonal changes during and after menopause, and increased AD pathology may be interacting and contributing factors that lead to the increased number of women living with AD.
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Affiliation(s)
- Carrie E. Johnson
- University of Kentucky, College of Medicine, Department of Molecular and Cellular Biochemistry, Lexington, KY, USA
| | - Marilyn J. Duncan
- University of Kentucky, College of Medicine, Department of Neuroscience, Lexington, KY, USA
| | - M. Paul Murphy
- University of Kentucky, College of Medicine, Department of Molecular and Cellular Biochemistry, Lexington, KY, USA
- University of Kentucky, Sanders-Brown Center on Aging, Lexington, KY, USA
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7
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Delgado A, Louis JM. Sleep Deficiency in Pregnancy. Sleep Med Clin 2023; 18:559-571. [PMID: 38501527 DOI: 10.1016/j.jsmc.2023.06.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Sleep is a critical aspect of one's daily life for overall health, with a recommended 7 to 9 hours in adulthood (ages 26-64). Up to a third of women do not sleep sufficiently, and pregnant women are at an increased risk for sleep deficiency. Throughout pregnancy, sleep is affected in differing ways. For example, in the first trimester, hormones affect sleep cycles, but by the third trimester, physical complaints such as increasing frequent urination and fetal movement create frequent awakenings. Associations between sleep deficiency and gestational diabetes, hypertensive disorders, depression, and some evidence regarding preterm birth exist. A woman's labor course and perception of delivery are also negatively affected by short sleep duration.
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Affiliation(s)
- Arlin Delgado
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida Morsani College of Medicine, 2 Tampa General Circle, Tampa, FL 33606, USA
| | - Judette M Louis
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida Morsani College of Medicine, 2 Tampa General Circle, Tampa, FL 33606, USA.
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Koutra K, Margetaki K, Kampouri M, Kyriklaki A, Roumeliotaki T, Vafeiadi M, Bitsios P, Kogevinas M, Chatzi L. Maternal sleep disturbances during late pregnancy and child neuropsychological and behavioral development in early childhood. Eur Child Adolesc Psychiatry 2023; 32:2139-2150. [PMID: 35927528 DOI: 10.1007/s00787-022-02053-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 07/16/2022] [Indexed: 11/25/2022]
Abstract
The present study aims to explore the association of maternal sleep disturbances during late pregnancy on child neuropsychological and behavioral development in preschool years. The study included 638 mother-child pairs from the prospective Rhea mother-child cohort in Crete, Greece. Information on antenatal sleep disturbances was collected through a computer-assisted interview. Children's neuropsychological and behavioral development was assessed using the McCarthy Scales of Children's Abilities (MSCA), the Attention-Deficit Hyperactivity Disorder Test (ADHDT), and the Strengths and Difficulties Questionnaire (SDQ). Multivariate analysis showed that maternal sleep duration less than 8 h was associated with reduced scores in the general cognitive scale (β = -2.28, 95% CI -4.54, -0.02, R2 = 0.417) and memory span (β = -3.24, 95% CI -5.72, -0.77, R2 = 0.304), while mild-severe daytime sleepiness was associated with reduced scores in the memory scale (β = -5.42, 95% CI -10.47, -0.37, R2 = 0.304), memory span (β = -5.44, 95% CI -10.68, -0.21, R2 = 0.304), nd functions of posterior cortex (β = -5.55, 95% CI -10.40, -0.70, R2 = 0.393) of MSCA. Snoring in late pregnancy was related to higher child hyperactivity scores in SDQ (β = 1.05, 95% CI 0.16, 1.95, R2 = 0.160). An interaction between child sex and maternal sleep duration in response to ADHD symptoms was also found (p for interaction < 0.05). Stratified analysis revealed increased hyperactivity, inattention, and ADHD total scores for girls of mothers with sleep duration less than 8 h. Maternal sleep disturbances during pregnancy may be associated with impaired child neuropsychological and behavioral development during the preschool years. Early detection and intervention is necessary to reduce sleep disturbances habits in pregnancy and improve child neurodevelopment.
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Affiliation(s)
- Katerina Koutra
- Department of Psychology, School of Social Sciences, University of Crete, Gallos Campus Crete, 74100, Rethymno, Greece.
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece.
| | - Katerina Margetaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
| | - Mariza Kampouri
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Andriani Kyriklaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Theano Roumeliotaki
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Marina Vafeiadi
- Department of Social Medicine, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Panos Bitsios
- Department of Psychiatry and Behavioral Sciences, Faculty of Medicine, University of Crete, Heraklion, Greece
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain
- ISGlobal, Barcelona, Spain
- IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Leda Chatzi
- Department of Preventive Medicine, Division of Environmental Health, University of Southern California, Los Angeles, CA, USA
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9
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Bossung V, Singer A, Ratz T, Rothenbühler M, Leeners B, Kimmich N. Changes in Heart Rate, Heart Rate Variability, Breathing Rate, and Skin Temperature throughout Pregnancy and the Impact of Emotions-A Longitudinal Evaluation Using a Sensor Bracelet. SENSORS (BASEL, SWITZERLAND) 2023; 23:6620. [PMID: 37514915 PMCID: PMC10385491 DOI: 10.3390/s23146620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 07/10/2023] [Accepted: 07/19/2023] [Indexed: 07/30/2023]
Abstract
(1) Background: Basic vital signs change during normal pregnancy as they reflect the adaptation of maternal physiology. Electronic wearables like fitness bracelets have the potential to provide vital signs continuously in the home environment of pregnant women. (2) Methods: We performed a prospective observational study from November 2019 to November 2020 including healthy pregnant women, who recorded their wrist skin temperature, heart rate, heart rate variability, and breathing rate using an electronic wearable. In addition, eight emotions were assessed weekly using five-point Likert scales. Descriptive statistics and a multivariate model were applied to correlate the physiological parameters with maternal emotions. (3) Results: We analyzed data from 23 women using the electronic wearable during pregnancy. We calculated standard curves for each physiological parameter, which partially differed from the literature. We showed a significant association of several emotions like feeling stressed, tired, or happy with the course of physiological parameters. (4) Conclusions: Our data indicate that electronic wearables are helpful for closely observing vital signs in pregnancy and to establish modern curves for the physiological course of these parameters. In addition to physiological adaptation mechanisms and pregnancy disorders, emotions have the potential to influence the course of physiological parameters in pregnancy.
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Affiliation(s)
- Verena Bossung
- Department of Obstetrics, University Hospital Zurich (USZ), University of Zurich (UZH), 8091 Zurich, Switzerland
| | - Adrian Singer
- Department of Obstetrics, University Hospital Zurich (USZ), University of Zurich (UZH), 8091 Zurich, Switzerland
| | - Tiara Ratz
- Department of Reproductive Endocrinology, University Hospital Zurich (USZ), University of Zurich (UZH), 8091 Zurich, Switzerland
| | | | - Brigitte Leeners
- Department of Reproductive Endocrinology, University Hospital Zurich (USZ), University of Zurich (UZH), 8091 Zurich, Switzerland
| | - Nina Kimmich
- Department of Obstetrics, University Hospital Zurich (USZ), University of Zurich (UZH), 8091 Zurich, Switzerland
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10
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Hawkins MS, Conlon RK, Donofry S, Buysse DJ, Venditti EM, Cheng Y, Levine MD. Sleep characteristics modify the associations of physical activity during pregnancy and gestational weight gain. Arch Gynecol Obstet 2023; 308:101-109. [PMID: 35870008 PMCID: PMC11186598 DOI: 10.1007/s00404-022-06677-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 06/14/2022] [Indexed: 11/02/2022]
Abstract
OBJECTIVE Excessive gestational weight gain (eGWG) is associated with adverse long-term maternal outcomes. Most lifestyle interventions that incorporate physical activity have been ineffective at reducing eGWG. The purpose of this study was to determine if sleep modified the relationships between physical activity change from the 2nd to 3rd trimester and the odds of excessive gestational weight gain (eGWG). METHODS This was a secondary data analysis of a prospective cohort study of pregnant birthing people with overweight or obesity (n = 105). We estimated physical activity energy expenditure (PAEE) in the 2nd and 3rd trimesters of pregnancy and sleep characteristics (i.e., sleep quality, daytime dysfunction, sleep efficiency, sleep duration) in the 2nd trimester of pregnancy with validated measures. We used regression models with sleep and PAEE change (increase/stable vs. decrease) interaction terms to examine the impact of sleep on PAEE change and eGWG. RESULTS Mean GWG was 37.02 ± 16.76 lbs. and 80% of participants experienced eGWG. Eighteen percent of participants increased their PAEE from the 2nd to the 3rd trimester. Increasing (vs. decreasing) PAEE was associated with lower log-odds of eGWG only among participants that slept at least 8 h/night (p = 0.06), had at least 85% sleep efficiency (p = 0.03), or reported less daytime dysfunction (p = 0.08). Sleep quality did not moderate the association between PAEE change and eGWG. CONCLUSIONS Weight management interventions in pregnancy should consider screening for and addressing poor sleep in the second trimester.
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Affiliation(s)
- Marquis S Hawkins
- Department of Epidemiology, University of Pittsburgh, 5138 Public Health, Pittsburgh, PA, 15261, USA.
| | - Rachel K Conlon
- Department of Psychiatry, University of Pittsburgh, 5138 Public Health, Pittsburgh, PA, 15261, USA
| | - Shannon Donofry
- Department of Psychology, University of Pittsburgh, 5138 Public Health, Pittsburgh, PA, 15261, USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, 5138 Public Health, Pittsburgh, PA, 15261, USA
| | - Elizabeth M Venditti
- Department of Psychiatry, University of Pittsburgh, 5138 Public Health, Pittsburgh, PA, 15261, USA
| | - Yu Cheng
- Department of Statistics, University of Pittsburgh, 5138 Public Health, Pittsburgh, PA, 15261, USA
| | - Michele D Levine
- Department of Psychiatry, University of Pittsburgh, 5138 Public Health, Pittsburgh, PA, 15261, USA
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11
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Li X, Ono C, Warita N, Shoji T, Nakagawa T, Usukura H, Yu Z, Takahashi Y, Ichiji K, Sugita N, Kobayashi N, Kikuchi S, Kimura R, Hamaie Y, Hino M, Kunii Y, Murakami K, Ishikuro M, Obara T, Nakamura T, Nagami F, Takai T, Ogishima S, Sugawara J, Hoshiai T, Saito M, Tamiya G, Fuse N, Fujii S, Nakayama M, Kuriyama S, Yamamoto M, Yaegashi N, Homma N, Tomita H. Comprehensive evaluation of machine learning algorithms for predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability. Front Psychiatry 2023; 14:1104222. [PMID: 37415686 PMCID: PMC10322181 DOI: 10.3389/fpsyt.2023.1104222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 05/19/2023] [Indexed: 07/08/2023] Open
Abstract
Introduction Perinatal women tend to have difficulties with sleep along with autonomic characteristics. This study aimed to identify a machine learning algorithm capable of achieving high accuracy in predicting sleep-wake conditions and differentiating between the wake conditions before and after sleep during pregnancy based on heart rate variability (HRV). Methods Nine HRV indicators (features) and sleep-wake conditions of 154 pregnant women were measured for 1 week, from the 23rd to the 32nd weeks of pregnancy. Ten machine learning and three deep learning methods were applied to predict three types of sleep-wake conditions (wake, shallow sleep, and deep sleep). In addition, the prediction of four conditions, in which the wake conditions before and after sleep were differentiated-shallow sleep, deep sleep, and the two types of wake conditions-was also tested. Results and Discussion In the test for predicting three types of sleep-wake conditions, most of the algorithms, except for Naïve Bayes, showed higher areas under the curve (AUCs; 0.82-0.88) and accuracy (0.78-0.81). The test using four types of sleep-wake conditions with differentiation between the wake conditions before and after sleep also resulted in successful prediction by the gated recurrent unit with the highest AUC (0.86) and accuracy (0.79). Among the nine features, seven made major contributions to predicting sleep-wake conditions. Among the seven features, "the number of interval differences of successive RR intervals greater than 50 ms (NN50)" and "the proportion dividing NN50 by the total number of RR intervals (pNN50)" were useful to predict sleep-wake conditions unique to pregnancy. These findings suggest alterations in the vagal tone system specific to pregnancy.
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Affiliation(s)
- Xue Li
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Chiaki Ono
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Noriko Warita
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tomoka Shoji
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Takashi Nakagawa
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Hitomi Usukura
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Zhiqian Yu
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Yuta Takahashi
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Kei Ichiji
- Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Norihiro Sugita
- Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai, Japan
| | | | - Saya Kikuchi
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
| | - Ryoko Kimura
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yumiko Hamaie
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Mizuki Hino
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Yasuto Kunii
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Keiko Murakami
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Mami Ishikuro
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Taku Obara
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tomohiro Nakamura
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Fuji Nagami
- Department of Public Relations and Planning, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Takako Takai
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Soichi Ogishima
- Department of Health Record Informatics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Junichi Sugawara
- Department of Community Medical Supports, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Tetsuro Hoshiai
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Masatoshi Saito
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Gen Tamiya
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Nobuo Fuse
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Susumu Fujii
- Department of Disaster Medical Informatics, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Masaharu Nakayama
- Department of Disaster Medical Informatics, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Shinichi Kuriyama
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Disaster Public Health, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
| | - Masayuki Yamamoto
- Department of Management Science and Technology, Graduate School of Engineering, Tohoku University, Sendai, Japan
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
| | - Nobuo Yaegashi
- Department of Public Relations and Planning, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Obstetrics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Noriyasu Homma
- Department of Radiological Imaging and Informatics, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Psychiatry, Tohoku University Hospital, Sendai, Japan
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, Sendai, Japan
- Department of Disaster Psychiatry, International Research Institute of Disaster Sciences, Tohoku University, Sendai, Japan
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12
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Kendle AM, Swanson J, Salemi JL, Louis JM. Association of Insomnia with 30-Day Postpartum Readmission: A Retrospective Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5955. [PMID: 37297559 PMCID: PMC10252679 DOI: 10.3390/ijerph20115955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023]
Abstract
Insomnia is prevalent in pregnancy and is associated with increased use of health services. We aimed to evaluate the association between insomnia diagnosed at the delivery hospitalization and risk of 30-day postpartum readmission. We conducted a retrospective analysis of inpatient hospitalizations from the 2010-2019 Nationwide Readmissions Database. The primary exposure was a coded diagnosis of insomnia at delivery as determined by ICD-9-CM and ICD-10-CM codes. Obstetric comorbidities and indicators of severe maternal morbidity were also determined through coding. The primary outcome was all-cause 30-day postpartum readmission. Survey-weighted logistic regression was used to generate crude and adjusted odds ratios representing the association between maternal insomnia and postpartum readmission. Of over 34 million delivery hospitalizations, 26,099 (7.6 cases per 10,000) had a coded diagnosis of insomnia. People with insomnia experienced a 3.0% all-cause 30-day postpartum readmission rate, compared to 1.4% among those without insomnia. After controlling for sociodemographic, clinical, and hospital-level factors, insomnia was associated with 1.64 times higher odds of readmission (95% CI 1.47-1.83). After adjustment for obstetric comorbidity burden and severe maternal morbidity, insomnia was independently associated with 1.33 times higher odds of readmission (95% CI 1.18-1.48). Pregnant patients with insomnia have higher rates of postpartum readmission, and diagnosis of insomnia is independently associated with increased odds of readmission. Additional postpartum support may be warranted for pregnancies affected by insomnia.
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Affiliation(s)
- Anthony M. Kendle
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL 33602, USA; (J.L.S.); (J.M.L.)
| | - Justin Swanson
- College of Public Health, University of South Florida, Tampa, FL 33612, USA;
| | - Jason L. Salemi
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL 33602, USA; (J.L.S.); (J.M.L.)
- College of Public Health, University of South Florida, Tampa, FL 33612, USA;
| | - Judette M. Louis
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL 33602, USA; (J.L.S.); (J.M.L.)
- College of Public Health, University of South Florida, Tampa, FL 33612, USA;
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13
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Yang CL, Jansen EC, Dunietz GL, Hirko K, O'Brien LM, Kerver JM. Sleep Disparities Across Pregnancy: A Michigan Cohort Study. WOMEN'S HEALTH REPORTS (NEW ROCHELLE, N.Y.) 2023; 4:219-231. [PMID: 37252253 PMCID: PMC10210214 DOI: 10.1089/whr.2023.0009] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 04/05/2023] [Indexed: 05/31/2023]
Abstract
Introduction Poor sleep health during pregnancy is related to adverse pregnancy outcomes. This study aims to identify sociodemographic characteristics associated with sleep health during pregnancy and to examine how they relate to changes in sleep during pregnancy. Materials and Methods Participants (n = 458) were from the Michigan Archive for Research on Child Health, which is a prospective pregnancy cohort. Sociodemographic characteristics and self-reported sleep timing and quality were collected in phone interviews. This longitudinal study collected sleep parameters once during the early trimesters and once during the third trimester. Fall asleep and wake-up times were used to calculate sleep duration and sleep midpoint. Results Compared to the third trimester, sleep duration was 12 minutes longer (p = 0.02), fall asleep time was 21 minutes earlier (p < 0.001), and the midpoint of sleep was 12 minutes earlier (p = 0.01) in early trimesters. Shorter sleep duration was noted in younger women. Sleep midpoint was later in those who were younger, overweight, or obese, racial minorities, unmarried, and with lower educational levels or socioeconomic status, and who smoked before pregnancy after adjusting for covariates. After controlling for confounders, women who were not working for pay had higher likelihood of reduced sleep duration, and women who were unmarried were more likely to have a delayed sleep midpoint in the third trimester compared to the early trimesters. Conclusions This study suggests that sleep parameters changed during pregnancy and sleep health differed by sociodemographic characteristics. Understanding sleep disparities could help with early detection of at-risk populations during prenatal care.
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Affiliation(s)
- Chia-Lun Yang
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
| | - Erica C. Jansen
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
| | - Galit Levi Dunietz
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Kelly Hirko
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
| | - Louise M. O'Brien
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
- Department of Obstetrics and Gynecology, and University of Michigan, Ann Arbor, Michigan, USA
- Department of Oral and Maxillofacial Surgery, University of Michigan, Ann Arbor, Michigan, USA
| | - Jean M. Kerver
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
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14
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Pauley AM, Moore GA, Mama SK, Molenaar P, Downs DS. Systematic review of the associations between prenatal sleep behaviours and components of energy balance for regulating weight gain. J Sleep Res 2023; 32:e13619. [PMID: 35510276 DOI: 10.1111/jsr.13619] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 03/02/2022] [Accepted: 04/06/2022] [Indexed: 12/13/2022]
Abstract
This systematic review aimed to examine the magnitude and direction of the associations between prenatal sleep behaviours (i.e. nighttime sleep duration, sleep quality, night awakenings and daytime nap duration) and eating behaviours, physical activity and gestational weight gain. A systematic search was conducted using Medline/PubMed, PsychINFO, CINAHL Complete, ProQuest Dissertations and Thesis A&I, and Web of Science to identify studies with at least one sleep measure, and either eating behaviours, physical activity and/or gestational weight gain. In summary, 11 studies met the review criteria and generated 11 total effect size across 10,900 participants. The majority of the studies were conducted after 2010, which highlights the infancy of this research. Overall, the strengths of the effect size were small: sleep-gestational weight gain (effect size = 0.29), sleep-eating behaviours (effect size = 0.13) and sleep-physical activity (effect size = 0.13). The only effect size that emerged as significant was for the pooled sleep behaviours-physical activity association; good sleep behaviours were positively associated with higher levels of physical activity. These findings summarize and provide insight on how sleep behaviours are related to prenatal gestational weight gain, eating behaviours and physical activity by identifying the strength and direction of the associations that have been previously unknown. Results support the rationale for future longitudinal and randomized control trials to examine the effects of sleep behaviours on gestational weight gain, eating behaviours and physical activity over the course of pregnancy.
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Affiliation(s)
- Abigail M Pauley
- Exercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Ginger A Moore
- Department of Psychology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Scherezade K Mama
- Department of Kinesiology, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Peter Molenaar
- Department of Human Development and Family Studies, The Pennsylvania State University, University Park, Pennsylvania, USA
| | - Danielle Symons Downs
- Exercise Psychology Laboratory, Department of Kinesiology, The Pennsylvania State University, University Park, Pennsylvania, USA.,Department of OBGYN, Penn State College of Medicine, Hershey, Pennsylvania, USA
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15
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George A, Kong A, Sousa MS, Villarosa A, Ajwani S, Dahlen HG, Bhole S, Yaacoub A, Srinivas R, Johnson M. Long-term effectiveness of the midwifery initiated oral health-dental service program on maternal oral health knowledge, preventative dental behaviours and the oral health status of children in Australia. Acta Odontol Scand 2023; 81:164-175. [PMID: 36001600 DOI: 10.1080/00016357.2022.2108896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
BACKGROUND The Midwifery Initiated Oral Health-Dental Service was developed to train midwives to promote maternal oral health, and a large trial showed it substantially improved the oral health, knowledge and behaviours of pregnant women. AIM Evaluate the long-term effectiveness of the program (post-trial) on maternal oral health knowledge, dental behaviours, and early childhood caries in offspring. METHODS A prospective cohort study involving 204 women and children 3-4 years (followed after trial) was conducted in Sydney, Australia from 2017 to 2019. RESULTS The program did not have a significant impact on the study measures. Mothers who received the program did have comparatively better knowledge around preventative behaviours to reduce early childhood caries and significantly more mothers were engaging in a key behaviour of using a cup to feed their child. Overall maternal oral health knowledge and level of education did have a protective effect on the dental decay of children. Higher knowledge and levels of education reduced the odds of having a dmft of one or more by over half (OR 0.473), and almost 80% (OR 0.212) respectively. CONCLUSIONS Although the MIOH-DS program was not effective, there is still value in exploring other complementary interventions to improve maternal oral health, especially for disadvantaged families. Future research should focus on co-designing an antenatal and postnatal oral health intervention and exploring its long-term impact on the oral health of children.
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Affiliation(s)
- Ajesh George
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,Ingham Institute for Applied Medical Research, Liverpool, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Surry Hills, Australia.,La Trobe Rural Health School, La Trobe University, Bendigo, Australia.,Translational Health Research Institute, Western Sydney University, Campbelltown, Australia
| | - Ariana Kong
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,Ingham Institute for Applied Medical Research, Liverpool, Australia
| | - Mariana S Sousa
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,Ingham Institute for Applied Medical Research, Liverpool, Australia.,IMPACCT (Improving Palliative, Aged and Chronic Care through Clinical Research and Translation), Faculty of Health, University of Technology Sydney, Broadway, Australia
| | - Amy Villarosa
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,Ingham Institute for Applied Medical Research, Liverpool, Australia
| | - Shilpi Ajwani
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Surry Hills, Australia.,Sydney Dental Hospital, Oral Health Services, Sydney Local Health District, Surry Hills, Australia.,Sydney Institute for Women, Children and Families, Sydney Local Health District, Surry Hills, Australia
| | - Hannah G Dahlen
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,Translational Health Research Institute, Western Sydney University, Campbelltown, Australia
| | - Sameer Bhole
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Surry Hills, Australia.,Sydney Dental Hospital, Oral Health Services, Sydney Local Health District, Surry Hills, Australia.,Sydney Institute for Women, Children and Families, Sydney Local Health District, Surry Hills, Australia
| | - Albert Yaacoub
- School of Dentistry, Faculty of Medicine and Health, University of Sydney, Surry Hills, Australia.,Oral Health Services, Nepean Blue Mountains Local Health District, Kingswood, Australia
| | - Ravi Srinivas
- Australian Centre for Integration of Oral Health (ACIOH), School of Nursing & Midwifery, Western Sydney University, Liverpool, Australia.,Ingham Institute for Applied Medical Research, Liverpool, Australia.,School of Dentistry, Faculty of Medicine and Health, University of Sydney, Surry Hills, Australia.,Oral Health Services, South Western Sydney Local Health District, Liverpool, Australia
| | - Maree Johnson
- Faculty of Health Sciences, Australian Catholic University, North Sydney, Australia
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16
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Peltonen H, Paavonen EJ, Saarenpää-Heikkilä O, Vahlberg T, Paunio T, Polo-Kantola P. Sleep disturbances and depressive and anxiety symptoms during pregnancy: associations with delivery and newborn health. Arch Gynecol Obstet 2023; 307:715-728. [PMID: 35461389 PMCID: PMC9984335 DOI: 10.1007/s00404-022-06560-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 04/01/2022] [Indexed: 11/02/2022]
Abstract
BACKGROUND Sleep disturbances and mood symptoms are common in late pregnancy; according to the literature, they can affect delivery and newborn outcomes. This study evaluated the effect of sleep and mood symptoms on delivery and newborn health, because there are insufficient and partly contradictory studies on the topic. METHODS A cohort of 1414 mothers in their third trimester was enrolled in this prospective cross-sectional questionnaire study. Validated questionnaires were assessed for the measurement of sleep disturbances and depressive and anxiety symptoms. The data on delivery and newborn outcomes were obtained from hospital medical records. RESULTS Sleep disturbances were very common. A higher insomnia score (β = - 0.06, p = 0.047) and longer sleep need (β = 0.07, p = 0.047) were related to delivery at a lower gestational age. In addition, a higher insomnia score (β = - 28.30, p = 0.010) and lower general sleep quality (β = - 62.15, p = 0.025) were associated with lower birth weight, but longer sleep duration and longer sleep need with a higher birth weight (β = 28.06, p = 0.019; β = 27.61, p = 0.028, respectively). However, the findings regarding birth weight lost their significance when the birth weight was standardized by gestational weeks. Concerning Apgar scores and umbilical artery pH, no associations were found. Snoring was associated with a shorter duration of the first phase of delivery (β = - 78.71, p = 0.015) and total duration of delivery (β = - 79.85, p = 0.016). Mothers with higher insomnia, depressive, or anxiety symptoms were more often treated with oxytocin (OR 1.54 95% CI 1.00-2.38, p = 0.049, OR 1.76, 95% CI 1.02-3.04, p = 0.049 and OR 1.91, CI 95% 1.28-2.84, p < 0.001, respectively) and those with higher depressive and anxiety symptoms were delivered more often with elective cesarean section (OR 4.67, 95% CI 2.04-12.68, p < 0.001 and OR 2.22, 95% CI 1.03-4.79, p = 0.042). CONCLUSIONS Maternal sleep disturbances and mood symptoms during pregnancy are associated with delivery and newborn health. However, nearly, all the outcomes fell within a normal range, implying that the actual risks are low.
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Affiliation(s)
- Hilla Peltonen
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland.
| | - E Juulia Paavonen
- Pediatric Research Center, Child Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Outi Saarenpää-Heikkilä
- Centre for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Tero Vahlberg
- Department of Clinical Medicine, Biostatistics, University of Turku, Turku, Finland
| | - Tiina Paunio
- Department of Psychiatry, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.,Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Päivi Polo-Kantola
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland.,Sleep Research Unit, University of Turku, Turku, Finland
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17
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Du C, Tucker RM, Yang CL. How Are You Sleeping? Why Nutrition Professionals Should Ask Their Patients About Sleep Habits. JOURNAL OF THE AMERICAN NUTRITION ASSOCIATION 2023; 42:263-273. [PMID: 35512763 DOI: 10.1080/07315724.2022.2025547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Current literature has identified relationships among sleep, nutrition, and diet-related chronic diseases; however, knowledge about how sleep influences diet-related diseases is lacking in dietetics practice. This narrative review briefly explains sleep physiology and outlines the relationships between sleep duration and quality and common nutrition-related diseases, including obesity, diabetes, cardiovascular disease, obstructive sleep apnea, and cancer. Additionally, the review discusses how sleep influences wound healing and pregnancy outcomes and why hospitalized patients are likely to experience sleep problems. Plausible mechanisms explaining the relationships between sleep and disease are presented. Finally, commonly used sleep assessment tools and interventions are reviewed. Given the importance of sleep to health, dietitians should not only be aware of the role sleep plays in disease development and prevention but also assess sleep when feasible and refer patients and clients who are at high risk for sleep problems to a sleep clinic or community program that can address sleep issues.Teaching points:Sleep duration and quality influence risk and outcomes of common nutrition-related diseases.Sleep health evaluation is a missing piece in dietetic practice.There are easy-to-use, validated tools that dietitians can use to screen for sleep problems in order to refer patients and clients to sleep experts.
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Affiliation(s)
- Chen Du
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Robin M Tucker
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Chia-Lun Yang
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
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18
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Li YS, Lee HC, Huang JP, Lin YZ, Au HK, Lo YC, Chien LC, Chao HJ, Estinfort W, Chen YH. Adverse effects of inadequate sleep duration patterns during pregnancy on toddlers suspected developmental delay: A longitudinal study. Sleep Med 2023; 105:68-77. [PMID: 36966578 DOI: 10.1016/j.sleep.2023.02.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 01/30/2023] [Accepted: 02/24/2023] [Indexed: 03/06/2023]
Abstract
BACKGROUND Although studies have reported the effects of inadequate sleep on maternal health, few have examined the relationships of maternal sleep patterns with fetal health and early childhood development. This study investigated maternal sleep duration patterns from early pregnancy to 3-years postpartum and their effects on birth outcomes and child development. METHODS This study recruited pregnant women and their partners during prenatal visits at five selected hospitals in the Taipei area; follow-up lasted from July 2011 to April 2021. A total of 1178 parents completed self-reported assessments from early pregnancy until childbirth and 544 completed eight assessments up to 3-years postpartum. Generalized estimated equation models were used for analyses. RESULTS Group-based trajectory modeling was used to identify four trajectories of sleep duration patterns. Although maternal sleep duration was not associated with birth outcomes, maternal "short decreasing" and "stably short" sleep patterns were associated with a higher risk of suspected overall developmental delay and language developmental delay, respectively. Furthermore, an "extremely long decreasing" pattern was associated with a higher risk of suspected overall developmental delay, [adjusted odds ratio (aOR) = 2.97, 95% confidence interval (CI):1.39-6.36)], gross motor delay, (aOR = 3.14, 95% CI: 1.42-6.99) and language developmental delay (aOR = 4.59, 95% CI:1.62-13.00). The results were significant for the children of multiparous women. CONCLUSIONS We identified a U-shaped distribution of risk between offspring developmental delay and maternal prenatal sleep duration, with the highest risk levels on both ends of the maternal prenatal sleep duration pattern. Interventions for maternal sleep are relatively straightforward to implement and should thus be a key part of standard prenatal care.
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19
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Facco FL, Wolsk J, Patel SR, Hubel C, Gallaher M, Cashmere JD, Wisniewski S. A trial of positive airway pressure for the treatment of sleep apnea in pregnancy. Am J Obstet Gynecol MFM 2023; 5:100840. [PMID: 36563879 DOI: 10.1016/j.ajogmf.2022.100840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Revised: 12/07/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The pathophysiology of obstructive sleep apnea in pregnancy remains poorly understood and studies examining the effect of treatment with positive airway pressure on pregnancy have been limited. OBJECTIVE This study aimed to perform a randomized controlled trial of positive airway pressure treatment for obstructive sleep apnea in pregnancy. STUDY DESIGN Participants with a body mass index ≥30 kg/m2 underwent polysomnography at 14 to 20 weeks' gestation (visit 1) and those with obstructive sleep apnea (apnea-hypopnea index ≥5 but <50) were enrolled. In phase 1, participants were randomized to autotitrating positive airway pressure vs sham positive airway pressure; in phase 2, the sham arm was replaced with a sleep hygiene control. Participants returned at 28 to 31 weeks' gestation (visit 2). The mean arterial blood pressure, uterine artery Doppler pulsatility index, endoglin, soluble FMS-like tyrosine kinase 1 levels, and placental growth factor levels were measured, as well as fasting glucose and insulin to calculate insulin resistance (homeostatic model assessment for insulin resistance). The primary outcome was a composite of the uterine artery Doppler pulsatility index, soluble FMS-like tyrosine kinase 1 to placental growth factor ratio, and the homeostatic model assessment for insulin resistance. For secondary analyses, each outcome variable was analyzed independently. Adherence to treatment was examined. RESULTS A total of 241 participants completed visit 1, and 89 (37%) had an apnea-hypopnea index between 5 and 50. Of the those, 51 participants were randomized in phase 1 and 38 in phase 2. There was no significant difference in our primary outcome by treatment group. In secondary analyses, the uterine artery Doppler pulsatility index was lower in participants on autotitrating positive airway pressure when compared with sleep hygiene controls. Otherwise, there were no differences in the mean arterial blood pressure, angiogenic markers, or metabolic markers in phase 1, phase 2, or across the entire study. The overall adherence to autotitrating positive airway pressure therapy was low, but the mean use was greater in phase 2 (0.3±0.6 hours/night vs 1.3±2.3 hours/night; P=.10). For those on active therapy, fasting glucose values decreased as adherence increased. CONCLUSION This randomized controlled trial of autotitrating positive airway pressure in pregnancy did not find any differences in a composite primary cardiometabolic risk profile between the treatment groups. Higher autotitrating positive airway pressure adherence was associated with lower fasting glucose levels. The use of a sham positive airway pressure control arm in phase1 may have negatively impacted adherence to active treatment.
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Affiliation(s)
- Francesca L Facco
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA (Drs Facco and Hubel).
| | - Jennifer Wolsk
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA (Ms Wolsk and Dr Wisniewski)
| | - Sanjay R Patel
- Division of Pulmonary Allergy and Critical Care Medicine, Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh, Pittsburgh, PA (Dr Patel)
| | - Carl Hubel
- Department of Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh, Pittsburgh, PA (Drs Facco and Hubel); Magee-Womens Research Institute, Pittsburgh, PA (Dr Hubel and Ms Gallaher)
| | - Marcia Gallaher
- Magee-Womens Research Institute, Pittsburgh, PA (Dr Hubel and Ms Gallaher)
| | - J David Cashmere
- University of Pittsburgh Medical Center, Pittsburgh, PA (Mr Cashmere)
| | - Stephen Wisniewski
- Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA (Ms Wolsk and Dr Wisniewski)
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20
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Guo Y, Xu Q, Dutt N, Kehoe P, Qu A. Longitudinal changes in objective sleep parameters during pregnancy. WOMEN'S HEALTH (LONDON, ENGLAND) 2023; 19:17455057231190952. [PMID: 37650368 PMCID: PMC10475261 DOI: 10.1177/17455057231190952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 09/01/2023]
Abstract
BACKGROUND Sleep disturbances are associated with adverse perinatal outcomes. Thus, it is necessary to understand the continuous patterns of sleep during pregnancy and how moderators such as maternal age and pre-pregnancy body mass index impact sleep. OBJECTIVE This study aimed to examine the continuous changes in sleep parameters objectively (i.e. sleep stages, total sleep time, and awake time) in pregnant women and to describe the impact of maternal age and/or pre-pregnancy body mass index as moderators of these objective sleep parameters. DESIGN This was a longitudinal observational design. METHODS Seventeen women with a singleton pregnancy participated in this study. Mixed model repeated measures were used to describe weekly patterns, while aggregated changes describe these three pregnancy periods (10-19, 20-29, and 30-39 gestational weeks). RESULTS For the weekly patterns, we found significantly decreased deep (1.26 ± 0.18 min/week, p < 0.001), light (0.72 ± 0.37 min/week, p = 0.05), and total sleep time (1.56 ± 0.47 min/week, p < 0.001) as well as increased awake time (1.32 ± 0.34 min/week, p < 0.001). For the aggregated changes, we found similar patterns to weekly changes. Women (⩾30 years) had an even greater decrease in deep sleep (1.50 ± 0.22 min/week, p < 0.001) than those younger (0.84 ± 0.29 min/week, p = 0.04). Women who were both overweight/obese and ⩾30 years experienced an increase in rapid eye movement sleep (0.84 ± 0.31 min/week, p = 0.008), but those of normal weight (<30 years) did not. CONCLUSION This study appears to be the first to describe continuous changes in sleep parameters during pregnancy at home. Our study provides preliminary evidence that sleep parameters could be potential non-invasive physiological markers predicting perinatal outcomes.
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Affiliation(s)
- Yuqing Guo
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, USA
| | - Qi Xu
- Department of Statistics, Donald Bren School of Information & Computer Sciences, University of California, Irvine, Irvine, CA, USA
| | - Nikil Dutt
- Donald Bren School of Information & Computer Sciences, University of California, Irvine, Irvine, CA, USA
| | - Priscilla Kehoe
- Sue & Bill Gross School of Nursing, University of California, Irvine, Irvine, CA, USA
| | - Annie Qu
- Department of Statistics, Donald Bren School of Information & Computer Sciences, University of California, Irvine, Irvine, CA, USA
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21
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Wang C, Hou J, Li A, Kong W. Trajectory of Perinatal Depressive Symptoms from the Second Trimester to Three Months Postpartum and Its Association with Sleep Quality. Int J Womens Health 2023; 15:711-723. [PMID: 37193223 PMCID: PMC10182768 DOI: 10.2147/ijwh.s408347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 05/05/2023] [Indexed: 05/18/2023] Open
Abstract
Purpose Few studies have explored the association between sleep quality and depressive symptoms in perinatal women from the second trimester to the postpartum period. This study aims to explore this relationship using a longitudinal design. Patients and Methods Participants were enrolled at 15 gestational weeks. Demographic information was collected. Perinatal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS). Sleep quality was measured employing the Pittsburgh Sleep Quality Index (PSQI) at five timepoints from enrollment to three months postpartum. Overall, 1416 women completed the questionnaires at least thrice. A Latent Growth Curve (LGC) model was performed to identify the relationship between the trajectories of perinatal depressive symptoms and sleep quality. Results Of the participants, 23.7% screened positive at least once on the EPDS. The perinatal depressive symptoms trajectory, fitted by the LGC model, decreased at early pregnancy and increased from 15 gestational weeks to three months postpartum. The intercept of sleep trajectory positively affected the intercept of perinatal depressive symptoms' trajectory; the slope of sleep trajectory positively affected both the slope and the quadratic coefficient of perinatal depressive symptoms' trajectory. Conclusion The trajectory of perinatal depressive symptoms increased from 15 gestational weeks to three months postpartum following a quadratic trend. Poor sleep quality was associated with depression symptoms beginning at the onset of pregnancy. Moreover, rapidly declining sleep quality could be a significant risk factor for perinatal depression (PND). These findings call for greater attention to perinatal women who report poor and persistently deteriorating sleep quality. Additional sleep-quality evaluations, depression assessments, and referrals to mental health care providers may benefit these women and support PND prevention, screening, and early diagnosis.
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Affiliation(s)
- Chen Wang
- Department of Perinatal Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China
| | - Jinqin Hou
- Department of Special Education and Psychology, China National Academy of Educational Sciences, Beijing, People’s Republic of China
| | - Anning Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Weimin Kong
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, Beijing, People’s Republic of China
- Correspondence: Weimin Kong, Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, No. 251, Yaojiayuan Road, Chaoyang District, Beijing, People’s Republic of China, Tel +8618611942798, Email
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22
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Jabakhanji SB, Lepinteur A, Menta G, Piper A, Vögele C. Sleep quality and the evolution of the COVID-19 pandemic in five European countries. PLoS One 2022; 17:e0278971. [PMID: 36576928 PMCID: PMC9797060 DOI: 10.1371/journal.pone.0278971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/28/2022] [Indexed: 12/29/2022] Open
Abstract
The COVID-19 pandemic has led to lifestyle changes across Europe with a likely impact on sleep quality. This investigation considers sleep quality in relation to the evolution of the COVID-19 pandemic in five European countries. Using panel regressions and keeping policy responses to COVID-19 constant, we show that an increase in the four-week average daily COVID-19 deaths/100,000 inhabitants (our proxy for the evolution of the pandemic) significantly reduced sleep quality in France, Germany, Italy, Spain, and Sweden between April 2020 and June 2021. Our results are robust to a battery of sensitivity tests and are larger for women, parents and young adults. Additionally, we show that about half of the reduction in sleep quality caused by the evolution of the pandemic can be attributed to changes in lifestyles, worsened mental health and negative attitudes toward COVID-19 and its management (lower degree of confidence in government, greater fear of being infected). In contrast, changes in one's own infection-status from the SARS-CoV-2 virus or sleep duration are not significant mediators of the relationship between COVID-19-related deaths and sleep quality.
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Affiliation(s)
- Samira Barbara Jabakhanji
- Healthcare Outcomes Research Centre, RCSI University of Medicine and Health Sciences, Dublin, Ireland
- Medical Faculty Mannheim, Heidelberg University, Heidelberg, Germany
| | | | - Giorgia Menta
- Luxembourg Institute of Socio-Economic Research (LISER), Esch-sur-Alzette, Luxembourg
| | - Alan Piper
- University of Leeds, Leeds, United Kingdom
| | - Claus Vögele
- University of Luxembourg, Esch-sur-Alzette, Luxembourg
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23
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Murnan AW, Keim SA, Li R, Klebanoff MA. Marijuana use and sleep quality during pregnancy. J Matern Fetal Neonatal Med 2022; 35:7857-7864. [PMID: 34102934 PMCID: PMC9513436 DOI: 10.1080/14767058.2021.1937987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Marijuana use among pregnant women is on the rise in part due to the perception that marijuana may improve problems related to pregnancy such as poor sleep. This study's objective was to examine associations between marijuana use and sleep quality among a sample of women during pregnancy. MATERIAL AND METHODS The sample included women seeking prenatal care at The Ohio State University Wexner Medical Center (2010-2015). Intake assessments included medical, demographic, and socioeconomic domains, as well as the Pittsburgh Sleep Quality Index. Marijuana use during pregnancy was determined using urine screens, chart abstraction, and self-report. Women completed standardized questionnaires regarding sleep quality, depressive symptoms, anxiety, stress, and discrimination at enrollment and each subsequent trimester. A linear mixed-effect model was used to assess the relationship between sleep variables and marijuana use adjusted for maternal race, education, household income, age, marital status, depressive symptoms, anxiety, stress, discrimination, and use of tobacco and other substances during pregnancy. Women completed the sleep quality assessments for a total of 294 pregnancies, which comprise the study population. RESULTS Among the study sample (n = 294), 93 women used marijuana and 201 women did not use marijuana during their pregnancies. Women who used marijuana (n = 93) were more likely to identify as African-American (73% vs 58%; p = .01), report government health insurance (98% vs 89%; p = .001), use tobacco during pregnancy (66% vs 33%; p < .001), report less household income (70% vs 43% < 10,000 annual household income; p < .001), and be unmarried (69% vs 49%; p < .001) compared to women who did not. Mean sleep quality was similar among women who did (µ = 7.6; SD = 4.0) and did not use marijuana during pregnancy (µ = 7.7; SD = 4.0), and both groups had a mean score worse than the conventional cutoff for poor sleep quality (>5). In fact, both groups reported worse sleep than is typically observed among cohorts reporting poor sleep, which have ranged from 5.3 to 6.3. CONCLUSIONS Current findings did not suggest differences in sleep quality between women who used and did not use marijuana during pregnancy. Findings are contrary to the perception that marijuana use alleviates sleep-related problems during pregnancy. Given well-documented adverse outcomes associated with prenatal marijuana exposure for children and the increase in women using marijuana during pregnancy, providers should be prepared to discuss possible harms associated with marijuana use during pregnancy as well as provide psychoeducational information and service referrals to those interested. Future studies could improve upon this design by assessing objective measures of sleep, such as actigraphy, as well as marijuana use repeatedly throughout pregnancy, which may be a more optimal strategy for illuminating potential relationships between marijuana use and sleep during pregnancy.
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Affiliation(s)
- Aaron W. Murnan
- Center for Bio-behavioral Health, The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA
| | - Sarah A. Keim
- Center for Bio-behavioral Health, The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA;,Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA;,Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH, USA
| | - Rui Li
- Center for Bio-behavioral Health, The Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH, USA;,Center for Perinatal Research, The Research Institute at Nationwide Children’s Hospital, Ohio, USA
| | - Mark A. Klebanoff
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA;,Division of Epidemiology, The Ohio State University College of Public Health, Columbus, OH, USA;,Center for Perinatal Research, The Research Institute at Nationwide Children’s Hospital, Ohio, USA;,Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, OH, USA
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24
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Parsons L, Howes A, Jones CA, Surtees ADR. Changes in parental sleep from pregnancy to postpartum: A meta-analytic review of actigraphy studies. Sleep Med Rev 2022; 68:101719. [PMID: 36791531 DOI: 10.1016/j.smrv.2022.101719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 11/09/2022] [Accepted: 11/11/2022] [Indexed: 11/27/2022]
Abstract
Sleep changes in new parents are widely observed but there is no extant meta-analysis of changes to sleep parameters in this group. We completed a meta-analysis of changes in actigraphy-measured parent sleep between pregnancy and the end of the first year of a child's life. A search of six databases was completed. Following review using predetermined inclusion and exclusion criteria, 16 papers were left for review. Data were extracted, analysed and each paper was reviewed for methodological quality. Where possible, subgroup analysis was completed based on time since birth and location of the study, and meta-regression of parent age. Parents' total sleep time and sleep efficiency were shown to decrease following the birth of a child, with wake after sleep onset increasing. This change was most notably observed in the first four weeks after birth. Up to 16 weeks post-birth, differences were still apparent, but sleep parameters were beginning to return to pre-birth levels. New parents experience a significant change in multiple sleep parameters following the birth of a child. Future data collection, using best practice actigraphy measurement, reporting a broader range of variables and including fathers, as well as mothers, is warranted.
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Affiliation(s)
- Leo Parsons
- School of Psychology, University of Birmingham, United Kingdom; Northamptonshire Healthcare NHS Foundation Trust, United Kingdom
| | - Abby Howes
- School of Psychology, University of Birmingham, United Kingdom
| | - Christopher A Jones
- School of Psychology, University of Birmingham, United Kingdom; University Hospitals Birmingham NHS Foundation Trust, United Kingdom
| | - Andrew D R Surtees
- School of Psychology, University of Birmingham, United Kingdom; Birmingham Women's and Children's NHS Foundation Trust, United Kingdom.
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25
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Kendle AM, Salemi JL, Jackson CL, Buysse DJ, Louis JM. Insomnia during pregnancy and severe maternal morbidity in the united states: nationally representative data from 2006 to 2017. Sleep 2022; 45:zsac175. [PMID: 35901516 PMCID: PMC9548669 DOI: 10.1093/sleep/zsac175] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 06/08/2022] [Indexed: 07/30/2023] Open
Abstract
STUDY OBJECTIVES Using a large, nationally representative database, we aimed to estimate the prevalence and trends of insomnia among pregnant women over a 12-year period. In addition, we aimed to examine the interplay among insomnia, maternal comorbidities, and severe maternal morbidity (SMM). METHODS We conducted a serial cross-sectional analysis of pregnancy-related hospitalizations in the United States from the 2006 to 2017 National Inpatient Sample (NIS). ICD-9 and ICD-10 codes were used to capture diagnoses of insomnia and obstetric comorbidities during delivery and non-delivery hospitalizations. The primary outcome was the diagnosis of SMM at delivery. We used logistic regression to assess the association between insomnia and SMM. Joinpoint regression was used to estimate trends in insomnia and SMM. RESULTS Of nearly 47 million delivery hospitalizations, 24 625 women had a diagnosis of insomnia, or 5.2 per 10 000 deliveries. The annual incidence increased from 1.8 to 8.6 per 10 000 over the study period. The crude rate of insomnia was 6.3 times higher for non-delivery hospitalizations. Patients with insomnia had more comorbidities, particularly neuromuscular disease, mental health disorders, asthma, and substance use disorder. Prevalence of non-blood transfusion SMM was 3.6 times higher for patients with insomnia (2.4% vs. 0.7%). SMM increased annually by 11% (95% CI = 3.0% to 19.7%) in patients with insomnia. After adjusting for comorbidities, there remained a 24% increased likelihood of SMM for patients with insomnia. CONCLUSIONS Coded diagnosis of insomnia during pregnancy has increased over time, and this burden disparately affects women of low socioeconomic status. Diagnosis of insomnia is an independent predictor of SMM.
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Affiliation(s)
- Anthony M Kendle
- Corresponding author: Anthony M. Kendle, 2 Tampa General Circle, Tampa, FL 33606, USA.
| | - Jason L Salemi
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa FL, USA
- College of Public Health, University of South Florida, Tampa FL, USA
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
- Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD,USA
| | - Daniel J Buysse
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA,USA
| | - Judette M Louis
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa FL, USA
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26
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Al-Musharaf S. Changes in Sleep Patterns during Pregnancy and Predictive Factors: A Longitudinal Study in Saudi Women. Nutrients 2022; 14:nu14132633. [PMID: 35807814 PMCID: PMC9268456 DOI: 10.3390/nu14132633] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 11/16/2022] Open
Abstract
This study aimed to assess sleep patterns during the three trimesters of pregnancy and whether vitamin D concentrations, along with other risk factors, are associated with these alterations. In a longitudinal study, 140 pregnant women (age 18 to 39 years) were followed throughout their first, second, and third trimesters. Sleep was measured using the Pittsburgh Sleep Quality Index (PSQI) at each trimester, along with an assessment of biochemical parameters, including serum vitamin D levels. The information that was collected included anthropometric data, socio-economic status, dietary intake, and physical activity. The PSQI was higher in mid and late pregnancy than in early pregnancy (both p = 0.001), and the sleep duration was also higher in late versus early pregnancy. Linear regression analyses revealed independent predictors of deteriorating sleep quality from early to late pregnancy, including low income (B ± SE −0.60 ± 0.26, p = 0.03) and low serum vitamin D levels in the second trimester (B ± SE −0.20 ± 0.01, p = 0.04). Energy intake and sitting in the second half of pregnancy were positively associated with changes in the PSQI score from the second to third trimesters (B ± SE 0.15 ± 0.07, p = 0.048) and (B ± SE 0.01 ± 0.00, p = 0.044), respectively. Low socio-economic status, low serum vitamin D levels, greater energy intake, and sitting time were associated with worsening patterns of sleep quality from early to late pregnancy.
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Affiliation(s)
- Sara Al-Musharaf
- Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia
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27
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Wong PF, D'Cruz R, Hare A. Sleep disorders in pregnancy. Breathe (Sheff) 2022; 18:220004. [DOI: 10.1183/20734735.0004-2022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/13/2022] [Indexed: 11/05/2022] Open
Abstract
Sleep disturbances are common in pregnancy and affect sleep quality. The maternal body is going through constant physical and physiological changes to adapt to the growing fetus. Sleep disorders may manifest at any point during pregnancy; some may result in adverse maternal or fetal outcomes. A strong clinical suspicion is crucial to identify sleep disorders in pregnancy and their management should be evaluated with a multidisciplinary team approach. In this review, we provide an overview of changes in sleep during pregnancy and summarise the key features of common sleep disorders in pregnancy, including practical tips on their management.Educational aimsTo provide an overview of common sleep disorders in pregnancy and their management options.To highlight the impact of the physiological changes in pregnancy on sleep.To outline the type of sleep studies available to investigate sleep disorders in pregnancy.
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28
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Abstract
Sleep is a critical aspect of one's daily life for overall health, with a recommended 7 to 9 hours in adulthood (ages 26-64). Up to a third of women do not sleep sufficiently, and pregnant women are at an increased risk for sleep deficiency. Throughout pregnancy, sleep is affected in differing ways. For example, in the first trimester, hormones affect sleep cycles, but by the third trimester, physical complaints such as increasing frequent urination and fetal movement create frequent awakenings. Associations between sleep deficiency and gestational diabetes, hypertensive disorders, depression, and some evidence regarding preterm birth exist. A woman's labor course and perception of delivery are also negatively affected by short sleep duration.
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Affiliation(s)
- Arlin Delgado
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida Morsani College of Medicine, 2 Tampa General Circle, Tampa, FL 33606, USA
| | - Judette M Louis
- Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida Morsani College of Medicine, 2 Tampa General Circle, Tampa, FL 33606, USA.
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29
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Yalçin M, Mundorf A, Thiel F, Amatriain-Fernández S, Kalthoff IS, Beucke JC, Budde H, Garthus-Niegel S, Peterburs J, Relógio A. It's About Time: The Circadian Network as Time-Keeper for Cognitive Functioning, Locomotor Activity and Mental Health. Front Physiol 2022; 13:873237. [PMID: 35547585 PMCID: PMC9081535 DOI: 10.3389/fphys.2022.873237] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 03/08/2022] [Indexed: 12/24/2022] Open
Abstract
A variety of organisms including mammals have evolved a 24h, self-sustained timekeeping machinery known as the circadian clock (biological clock), which enables to anticipate, respond, and adapt to environmental influences such as the daily light and dark cycles. Proper functioning of the clock plays a pivotal role in the temporal regulation of a wide range of cellular, physiological, and behavioural processes. The disruption of circadian rhythms was found to be associated with the onset and progression of several pathologies including sleep and mental disorders, cancer, and neurodegeneration. Thus, the role of the circadian clock in health and disease, and its clinical applications, have gained increasing attention, but the exact mechanisms underlying temporal regulation require further work and the integration of evidence from different research fields. In this review, we address the current knowledge regarding the functioning of molecular circuits as generators of circadian rhythms and the essential role of circadian synchrony in a healthy organism. In particular, we discuss the role of circadian regulation in the context of behaviour and cognitive functioning, delineating how the loss of this tight interplay is linked to pathological development with a focus on mental disorders and neurodegeneration. We further describe emerging new aspects on the link between the circadian clock and physical exercise-induced cognitive functioning, and its current usage as circadian activator with a positive impact in delaying the progression of certain pathologies including neurodegeneration and brain-related disorders. Finally, we discuss recent epidemiological evidence pointing to an important role of the circadian clock in mental health.
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Affiliation(s)
- Müge Yalçin
- Institute for Theoretical Biology (ITB), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.,Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Annakarina Mundorf
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Freya Thiel
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany.,Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Sandra Amatriain-Fernández
- Institute for Systems Medicine and Faculty of Human Sciences, MSH Medical School Hamburg, Hamburg, Germany
| | - Ida Schulze Kalthoff
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Jan-Carl Beucke
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany.,Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Henning Budde
- Institute for Systems Medicine and Faculty of Human Sciences, MSH Medical School Hamburg, Hamburg, Germany
| | - Susan Garthus-Niegel
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany.,Institute and Policlinic of Occupational and Social Medicine, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany.,Department of Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - Jutta Peterburs
- Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Angela Relógio
- Institute for Theoretical Biology (ITB), Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.,Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology, and Tumour Immunology, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany.,Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
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30
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Bao C, Jin D, Sun S, Xu L, Wang C, Tang W, Zhang W, Bao Y, Xu D, Zhou S, Yu X, Zhao K. Trajectories and Depressive Symptoms During the Perinatal Period: A Longitudinal Population-Based Study in China. Front Psychiatry 2022; 13:762719. [PMID: 35432035 PMCID: PMC9009256 DOI: 10.3389/fpsyt.2022.762719] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 02/02/2022] [Indexed: 11/27/2022] Open
Abstract
Most women in the perinatal period face sleep issues, which can affect their mental health. Only a few studies have focused on sleep trajectories and depressive symptoms of women during the perinatal period in China. This study aims to explore the development trajectory of sleep quality by classifying pregnant women according to the changes in their sleep quality during pregnancy and postpartum and investigate the correlation between different sleep quality trajectory groups and depressive symptoms. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality, and the Edinburgh Postnatal Depression Scale (EPDS) was used to assess the symptoms of depression. Participants (n = 412) completed the assessment of sleep quality, depressive symptoms, and some sociodemographic and obstetric data at 36 weeks of gestation, 1 week after delivery, and 6 weeks after delivery. The group-based trajectory model (GBTM) was used to complete the trajectory classification, and logistic regression was used to analyze the predictive factors of postpartum depressive symptoms. Four different sleep quality trajectories were determined: "stable-good," "worsening," "improving," and "stable-poor" groups. The results demonstrate that poor sleep trajectories, social support and parenting experience during the perinatal period are related to postpartum depression. Screening for prenatal sleep problems is crucial for identifying the onset of perinatal depressive symptoms.
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Affiliation(s)
- Ciqing Bao
- Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Dongzhen Jin
- Department of Preventive Medicine, School of Public Health and Management, Wenzhou Medical University, Wenzhou, China
| | - Shiyu Sun
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Ling Xu
- Wenzhou Seventh People's Hospital, Wenzhou, China
| | - Chaoyue Wang
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Weina Tang
- Shaoxing 7th People's Hospital, Shaoxing, China
| | - Wenmiao Zhang
- Department of Obstetrics, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yin Bao
- Department of Obstetrics, First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Dongwu Xu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Siyao Zhou
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Xin Yu
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
| | - Ke Zhao
- School of Mental Health, Wenzhou Medical University, Wenzhou, China
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31
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Kellner S, Richter K. Insomnie in der Schwangerschaft – eine systematische Übersichtsarbeit. SOMNOLOGIE 2022. [DOI: 10.1007/s11818-022-00342-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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32
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Tang Y, Dai F, Razali NS, Tagore S, Chern BSM, Tan KH. Sleep quality and BMI in pregnancy- a prospective cohort study. BMC Pregnancy Childbirth 2022; 22:72. [PMID: 35086507 PMCID: PMC8793200 DOI: 10.1186/s12884-022-04414-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 01/20/2022] [Indexed: 11/22/2022] Open
Abstract
Background Pregnancy associated sleep disturbances is a common pregnancy-related complication which can lead to significant maternal distress and adverse pregnancy outcomes. Sleep quality can be affected by multiple factors and obesity has been recognized as one of them. Various previous studies have demonstrated poorer sleep quality during pregnancy. However, most studies included assessment at only one point of pregnancy. This prospective cohort study aimed to better evaluate the effect of pregnancy on the quality of sleep throughout the antenatal period and how BMI affects antenatal sleep. Methods A total of 926 women were recruited before 14 weeks of gestation and followed throughout pregnancy. The Pittsburgh Sleep Quality Index questionnaire (PSQI) was employed to assess sleep quality in 4 antenatal visits throughout pregnancy. Their weight was also recorded at each visit. Results The PSQI global score was higher towards the later part of pregnancy (6.4 to 8.0, p < 0.001) and highest at the 4th visit. Sleep latency was longer as pregnancy progressed (18.5 mins to 23.2 mins, p = 0.001). Sleep duration became shorter over time and was the shortest at the 4th visit (7.1 h to 6.5 h, p < 0.001). Sleep efficiency was the lowest at the 4th visit (85.2 to 81.6%, p < 0.001). The same trend was observed for subjects in different BMI groups throughput pregnancy. PSQI score increased and sleep duration decreased as BMI increased. The effect of increasing BMI on PSQI and sleep duration was only observed in the higher BMI groups (> 25 kg/m2). Conclusions Our study showed that sleep quality gradually declined throughout pregnancy for all BMI groups. Higher BMI was associated with poorer sleep as represented by PSQI score and sleep duration, particularly in the overweight and obese subgroups. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04414-7.
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Affiliation(s)
- Yafang Tang
- Department of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Fei Dai
- Department of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Nurul Syaza Razali
- Department of Obstetrics and Gynecology, KK Women's and Children's Hospital, Singapore, Singapore
| | - Shephali Tagore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore
| | - Bernard S M Chern
- Department of Minimally Invasive Surgery, KK Women's and Children's Hospital, Singapore, Singapore
| | - Kok Hian Tan
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, 100 Bukit Timah Road, Singapore, 229899, Singapore.
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O’Brien LM. Sleep in Pregnancy. Respir Med 2022. [DOI: 10.1007/978-3-030-93739-3_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Hajipour M, Soltani M, Safari-Faramani R, Khazaei S, Etemad K, Rahmani S, Valadbeigi T, Yaghoobi H, Rezaeian S. Maternal Sleep and Related Pregnancy Outcomes: A Multicenter Cross-Sectional Study in 11 Provinces of Iran. J Family Reprod Health 2021; 15:53-60. [PMID: 34429737 PMCID: PMC8346736 DOI: 10.18502/jfrh.v15i1.6078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Objective: Sleep disturbance during pregnancy is one of the most common maternal complaints. Not only does it play a crucial role in a mother’s life, but also it comes with a multitude number of complications. This study aimed at assessing the association between sleep disturbance in pregnancy and maternal and child outcomes. Materials and methods: This was a multicenter cross-sectional study, conducted on pregnant women across 11 provinces in Iran in 2018. Sleep disturbance as a composite variable was defined using the principal component analysis based on five questions. Abortion, anemia in the first and third trimester, gestational diabetes, gestational age, glucose tolerance test (GTT), fasting blood sugar (FBS), mode of delivery, low birth weight and stillbirth were defined as study outcomes. Results: Totally, 3675 pregnant women enrolled in the study. Most of the participants (84.5%) reported that their sleep duration is less than 8 hours per day. The prevalence of sleep disturbance was 20.7% (95% CI: 19.1, 22.3). After adjusting for maternal age, education, job, place of residency and physical violence, sleep disturbance would increase the odds of abortion (p=0.009), anemia in both first (p=0.001) and third (p=0.003) trimester, gestational age (p=0.049), abnormal FBS (p=0.015) and cesarean section (p<0.001). Conclusion: Regarding the effect of sleep quality on maternal outcomes, planning and implementing a suitable intervention in the context of primary health care is necessary. Increasing the awareness of mothers, health workers and medical personnel about the suitable quality and quantity of sleep during pregnancy is of great importance.
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Affiliation(s)
- Mahmoud Hajipour
- Research Center Office, Epidemiology Department, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Soltani
- Razi Clinical Research Development Unit (RCRDU), Birjand University of Medical Sciences (BUMS), Birjand, Iran
| | - Roya Safari-Faramani
- Research Center for Environmental Determinants of Health, Health Institute, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Salman Khazaei
- Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| | - Koorosh Etemad
- Department of Epidemiology, Environmental and Occupational Hazards Control Research Center, Faculty of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sharmin Rahmani
- Student Research Committee, Research Center for Environmental Determinants of Health, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Tannaz Valadbeigi
- Clinical Research Development Unit, Imam Hossein Hospital, Shahroud University of Medical Sciences, Shahroud, Iran
| | - Halime Yaghoobi
- Social Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Shahab Rezaeian
- Infectious Diseases Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.,Clinical Research Development Center, Imam Reza Hospital, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Vietheer A, Kiserud T, Lie RT, Haaland ØA, Kessler J. Sleep and physical activity from before conception to the end of pregnancy in healthy women: a longitudinal actigraphy study. Sleep Med 2021; 83:89-98. [PMID: 33991895 DOI: 10.1016/j.sleep.2021.04.028] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/22/2021] [Accepted: 04/20/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Sleep and physical activity changes are common in pregnancy, but longitudinal data starting before conception are scarce. Our aim was to determine the changes of the daily total sleep time (TST) and physical activity duration (PAD) from before conception to end of pregnancies in respect of pregestational maternal factors. METHODS This longitudinal observational study formed part of the CONIMPREG research project and recruited healthy women planning to become pregnant. Sleep and physical activity were recorded around-the-clock for ≥4 days via actigraphy before conception and during each trimester of pregnancy. Data were adjusted according to pregestational maternal body composition, parity and age. RESULTS Among 123 women with eligible data, the unadjusted mean (95% confidence interval) TST increased from 415.3 min (405.5-425.2 min) before conception to 458.0 min (445.4-470.6 min) in the 1st trimester, remaining high through the 2nd and 3rd trimesters. Variation was substantial before conception (±2SD range: 307-523 min). The unadjusted mean PAD before conception was 363.7 min (±2SD range: 120-608 min), decreasing sharply to 262.1 min in the first trimester and more gradually thereafter. Vigorous and moderate activity decreased more than light activity. TST and PAD were significantly associated with age, parity, and pregestational body fat percentage; lean body mass was negatively correlated with TST. Results were generally unaffected by seasonal variations. CONCLUSION Marked variations were found in pregestational TST and PAD. Healthy women slept ≥30 min longer during pregnancy, while PAD decreased by ≥ 90 min in early pregnancy and continued to decrease thereafter.
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Affiliation(s)
- Alexander Vietheer
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway.
| | - Torvid Kiserud
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Rolv Terje Lie
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway; Norwegian Institute of Public Health, Bergen, Norway
| | | | - Jörg Kessler
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway; Department of Clinical Science, University of Bergen, Bergen, Norway
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Demographic, Pregnancy-Related, and Health-Related Factors in Association with Changes in Sleep Among Pregnant Women with Overweight or Obesity. Int J Behav Med 2021; 28:200-206. [PMID: 32378048 DOI: 10.1007/s12529-020-09887-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
BACKGROUND Women with prepregnancy overweight/obesity are at high risk for obstetric complications and cardiometabolic disease. Poorer sleep quality is associated with obesity in non-pregnant individuals and, during pregnancy, poor sleep predicts negative obstetric and health outcomes. This study examined sleep patterns among women with overweight/obesity and factors associated with different sleep trajectories during pregnancy. METHODS Women (N = 146, 17-40 years old) with a prepregnancy body mass index ≥ 25 kg/m2 were recruited during early pregnancy. Participants reported demographic information and completed the Pittsburgh Sleep Quality Index (PSQI) at up to six monthly assessments, with the first assessment occurring between 12 and 20 weeks gestation and the final assessment between 35 weeks gestation and delivery. PSQI scores > 5 indicate "poor sleep." RESULTS On average, women's PSQI scores were 6.66 ± 3.58 in the first half of pregnancy and were significantly higher (worse) at the end of pregnancy (t(644) = 4.55, p < 0.001), with the greatest change occurring in the third trimester (t(636.3) = 3.72, p < 0.001). Women who currently smoked had poorer sleep than women who did not currently smoke (t(1) = 2.29, p = 0.02). Prepregnancy weight status, age, parity, race, education, and income were not significantly associated with sleep changes (t(1) < 1.76, ps > 0.08). The percentage of women with PSQI scores > 5 (the threshold for poor sleep quality) was 37-63% across assessments, with the greatest increase occurring during the third trimester (t(633) = 2.92, p = 0.004). CONCLUSIONS Sleep quality worsens during the third trimester and is associated with current smoking. Future studies of sleep during pregnancy should examine health outcomes among women with overweight/obesity and early intervention to mitigate sleep disturbances as pregnancy progresses.
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Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation. SENSORS 2021; 21:s21072281. [PMID: 33805217 PMCID: PMC8036648 DOI: 10.3390/s21072281] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 03/13/2021] [Accepted: 03/20/2021] [Indexed: 12/20/2022]
Abstract
Pregnancy is a unique time when many mothers gain awareness of their lifestyle and its impacts on the fetus. High-quality care during pregnancy is needed to identify possible complications early and ensure the mother’s and her unborn baby’s health and well-being. Different studies have thus far proposed maternal health monitoring systems. However, they are designed for a specific health problem or are limited to questionnaires and short-term data collection methods. Moreover, the requirements and challenges have not been evaluated in long-term studies. Maternal health necessitates a comprehensive framework enabling continuous monitoring of pregnant women. In this paper, we present an Internet-of-Things (IoT)-based system to provide ubiquitous maternal health monitoring during pregnancy and postpartum. The system consists of various data collectors to track the mother’s condition, including stress, sleep, and physical activity. We carried out the full system implementation and conducted a real human subject study on pregnant women in Southwestern Finland. We then evaluated the system’s feasibility, energy efficiency, and data reliability. Our results show that the implemented system is feasible in terms of system usage during nine months. We also indicate the smartwatch, used in our study, has acceptable energy efficiency in long-term monitoring and is able to collect reliable photoplethysmography data. Finally, we discuss the integration of the presented system with the current healthcare system.
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38
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Facco F. Sleep Duration, Sleep Timing, and Sleep Disordered Breathing-Associations With Obesity and Gestational Diabetes in Pregnancy. Clin Obstet Gynecol 2021; 64:196-203. [PMID: 33481418 PMCID: PMC7839153 DOI: 10.1097/grf.0000000000000587] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Pregnant individuals may come into pregnancy with underlying sleep abnormalities but are also predisposed to developing sleep issues such as obstructive sleep apnea, due to the physiologic changes associated with the gravid state. This article will review the epidemiology of sleep duration, sleep timing, and sleep disordered breathing in pregnancy with a focus on how the prevalence of these sleep conditions relate to body mass index. In addition, it will summarize the literature suggesting a link between these sleep disturbances and an increased risk for gestational diabetes.
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Affiliation(s)
- Francesca Facco
- Department of Obstetrics and Gynecology, University of Pittsburgh, Magee-Womens Hospital, Pittsburgh, Pennsylvania
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Laitinen L, Nurmi M, Rautava P, Koivisto M, Polo-Kantola P. Sleep quality in women with nausea and vomiting of pregnancy: a cross-sectional study. BMC Pregnancy Childbirth 2021; 21:152. [PMID: 33607953 PMCID: PMC7893929 DOI: 10.1186/s12884-021-03639-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 02/09/2021] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND Nausea and vomiting of pregnancy (NVP) deteriorates many aspects of daily lives of women. However, little is known about associations between NVP and sleep quality. METHODS Women attending to routine mid-pregnancy visits in maternity health care clinics in Turku city area and surrounding municipalities, Finland, during 2011-2014, were invited to participate. A cohort of 1203 volunteers (mean age 30 years, mean gestational week 16.6, mean BMI 24.4 kg/m2, nulliparous 46%) was recruited. The severity of NVP in the worst 12-h period of current pregnancy was assessed with Pregnancy Unique Quantification of Emesis Questionnaire (PUQE) and categorized accordingly into no/mild/moderate and severe NVP. Sleep disturbances during the past 3 months were assessed with selected questions (difficulty falling asleep, night awakenings, too early morning awakenings and sleepiness during the day) from Basic Nordic Sleep Questionnaire (BNSQ). In addition, general sleep quality, as well as physical and mental quality of life (QoL) were rated with three visual analog scales (VAS). Associations between PUQE categories (severity of NVP) and sleep disturbances, general sleep quality, physical QoL and mental QoL were evaluated with multinomial regression analysis. RESULTS According to PUQE, NVP was most frequently moderate (n = 629, 52.3%), followed by mild (n = 361, 30.0%) and severe (n = 77, 6.4%). Only 11.3% had no NVP (n = 136). The most frequent sleep disturbance was night awakenings (69.9%, n = 837), followed by sleepiness during the day (35.7%, n = 427), too early morning awakenings (12.0%, n = 143) and difficulty falling asleep (7.1%, n = 81). In adjusted analysis (age, parity, body mass index, smoking, employment), more severe NVP was associated with night awakenings (AOR 3.9, 95% CI 1.79-8.47, P < 0.0001) and sleepiness during the day (AOR 4.7, 95% CI 2.20-9.94, P < 0.0001). In VAS, women with more severe NVP rated worse general sleep quality and worse physical and mental QoL. However, in multivariable analysis, the association between the severity of NVP and physical and mental QoL was stronger than that of sleep . CONCLUSIONS More severe NVP is associated with sleep disturbances and in close relation to lower physical and mental QoL. Thus, in comprehensive care of women with NVP, also sleep quality should be evaluated.
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Affiliation(s)
- Linda Laitinen
- Department of Obstetrics and Gynecology, Central Finland Central Hospital, Keskussairaalantie 19, 40620, Jyväskylä, Finland.
- University of Turku, Turku, Finland.
| | - Miina Nurmi
- Department of Public Health, University of Turku, Turku, Finland
| | - Päivi Rautava
- Department of Public Health, University of Turku, Turku, Finland
- Turku Clinical Research Centre, Turku University Hospital, Turku, Finland
| | - Mari Koivisto
- Turku Clinical Research Centre, Turku University Hospital, Turku, Finland
- Department of Biostatistics, University of Turku, Turku, Finland
| | - Päivi Polo-Kantola
- University of Turku, Turku, Finland
- Department of Obstetrics and Gynecology, Turku University Hospital, Turku, Finland
- Sleep Research Center, University of Turku, Turku, Finland
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Dorsey A, de Lecea L, Jennings KJ. Neurobiological and Hormonal Mechanisms Regulating Women's Sleep. Front Neurosci 2021; 14:625397. [PMID: 33519372 PMCID: PMC7840832 DOI: 10.3389/fnins.2020.625397] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 12/22/2020] [Indexed: 01/22/2023] Open
Abstract
Sleep is crucial for optimal well-being, and sex differences in sleep quality have significant implications for women's health. We review the current literature on sex differences in sleep, such as differences in objective and subjective sleep measures and their relationship with aging. We then discuss the convincing evidence for the role of ovarian hormones in regulating female sleep, and survey how these hormones act on a multitude of brain regions and neurochemicals to impact sleep. Lastly, we identify several important areas in need of future research to narrow the knowledge gap and improve the health of women and other understudied populations.
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Affiliation(s)
| | | | - Kimberly J. Jennings
- Department of Psychiatry and Behavioral Sciences, School of Medicine, Stanford University, Stanford, CA, United States
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Wang J, Zhou Y, Qian W, Zhou Y, Han R, Liu Z. Maternal insomnia during the COVID-19 pandemic: associations with depression and anxiety. Soc Psychiatry Psychiatr Epidemiol 2021; 56:1477-1485. [PMID: 33891160 PMCID: PMC8063170 DOI: 10.1007/s00127-021-02072-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Accepted: 01/29/2021] [Indexed: 12/04/2022]
Abstract
BACKGROUND The COVID-19 outbreak has made people more prone to depression, anxiety and insomnia, and females are at a high risk of developing these conditions. As a special group, pregnant and lying-in women must pay close attention to their physical and mental health, as both have consequences for the mother and the fetus. However, knowledge regarding the status of depression, anxiety and insomnia among these women is limited. AIM This study aimed to examine insomnia and psychological factors among pregnant and lying-in women during the COVID-19 pandemic and provide theoretical support for intervention research. METHODS In total, 2235 pregnant and lying-in women from 12 provinces in China were surveyed; their average age was 30.25 years (SD = 3.99, range = 19-47 years). PARTICIPANTS AND SETTING The participants completed electronic questionnaires designed to collect demographic information and assess levels of depression, anxiety and insomnia. RESULTS The prevalence of insomnia in the sample was 18.9%. Depression and anxiety were significant predictors of insomnia. Participants in high-risk areas, those with a disease history, those with economic losses due to the outbreak, and those in the postpartum period had significantly higher insomnia scores. DISCUSSION The incidence of insomnia among pregnant and lying-in women is not serious in the context of the epidemic, which may be related to the sociocultural background and current epidemic situation in China. CONCLUSION Depression and anxiety are more indicative of insomnia than demographic variables.
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Affiliation(s)
- Jiazhou Wang
- grid.9227.e0000000119573309Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Yongjie Zhou
- grid.452897.50000 0004 6091 8446Department of Psychiatric Rehabilitation, Shenzhen Kangning Hospital, Shenzhen, 518020 China
| | - Wei Qian
- grid.9227.e0000000119573309Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101 China
| | - Yueyue Zhou
- grid.9227.e0000000119573309Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101 China ,grid.410726.60000 0004 1797 8419Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049 China
| | - Ru Han
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China. .,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Zhengkui Liu
- Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang District, Beijing, 100101, China. .,Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Cattarius BG, Schlarb AA. How the Sleep of Couples Changes from Pregnancy to Three Months Postpartum. Nat Sci Sleep 2021; 13:251-261. [PMID: 33658879 PMCID: PMC7917313 DOI: 10.2147/nss.s259072] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 01/15/2021] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Sleep disturbances are frequent during pregnancy and postpartum. However, detailed research of sleep in couples during pregnancy and postpartum is lacking. OBJECTIVE Changes of sleep for primi- and multiparous pregnant women and their partners from late pregnancy to three months postpartum. The particular focus of this study is on sex differences in sleep, sleep problems, mutual sleep influence of couples, and the influences of parity and feeding methods on couples' sleep. MATERIALS AND METHODS The sample included 69 pregnant couples in the last trimester of pregnancy (t1) and three months after birth (t2). Sleep was measured with sleep diary for both times of measurement. The Pittsburgh Sleep Quality Index (PSQI) assessed sleep disturbances. Other variables as parity and infant feeding type were determined by questionnaire. Besides results for woman and men, also dyadic data are calculated. RESULTS Over the time women had a worse sleep quality than men. They had a prolonged sleep onset latency, higher frequency and longer duration of night wakings than men. Sleep efficiency for women was prepartal 83.32% and postpartal 83.6% below the clinically cut-off value of 85%. For 56.52% of women at t1 and for 55.07% at t2 PSQI scores exceeded the clinically cut-off of 5. However, men suffered from a sleep loss after birth of their child, too. In pregnancy and postpartum men reported lower total sleep time at both times of measurement in comparison to women. For 30.43% of men at T1 and for 24.64% at T2 PSQI score exceeded the clinically cut-off of 5. Sleep efficiency for men was prepartal 90.96% and postpartal 90.69%. Results indicate predictive links between prepartal PSQI of couples to postpartal PSQI. Neither parity nor feeding method could explain variance in postpartal PSQI-score. CONCLUSION This is one of the very rare studies incorporating dyadic data. Results show the need of diagnosing and treating existing sleep problems in pregnancy to prevent future sleep problems postpartum.
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Affiliation(s)
- Barbara G Cattarius
- Faculty Psychology and Sports Science, University of Bielefeld, Bielefeld, Germany
| | - Angelika A Schlarb
- Faculty Psychology and Sports Science, University of Bielefeld, Bielefeld, Germany
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Hsiao WH, Paterno MT, Iradukunda F, Hawkins MS. The Preliminary Efficacy of a Sleep Self-management Intervention Using a Personalized Health Monitoring Device during Pregnancy. Behav Sleep Med 2021; 19:705-716. [PMID: 33245245 PMCID: PMC8155100 DOI: 10.1080/15402002.2020.1851230] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Background: Sleep disturbances are common during pregnancy and are associated with the development of adverse pregnancy outcomes. Personal health monitors (PHM) can facilitate change in health behaviors, though few studies have examined their use in improving sleep during pregnancy. This pilot study aimed to characterize sleep changes during pregnancy in women participating in a self-management intervention using a PHM.Participants/Methods: Participants with low risk, singleton pregnancies from Western Massachusetts were randomized at 24 weeks gestation to receive sleep education only (n = 12) or sleep education, and PHM intervention (n = 12). The single-session sleep education was given at baseline by a registered nurse. Sleep quality, duration, efficiency, disturbances, daytime sleepiness, and fatigue were assessed at baseline and 12 weeks follow-up using questionnaires. We described mean ± standard deviation within and between-group changes in each sleep outcome from baseline to 12 weeks follow-up.Results: The PHM arm experienced larger sleep quality improvements and daytime sleepiness than the sleep-education only arm, but the differences were not statistically significant. In the PHM arm, the Pittsburgh Sleep Quality Index (PSQI) score decreased (i.e., sleep quality increased) 1.22 ± 2.39 (p = .16), and the Epworth Sleepiness Scale (ESS) score decreased (i.e., daytime sleepiness decreased) 1.11 ± 2.08 (p = .15). In the sleep-education arm PSQI decreased 0.57 ± 2.37 (p = .55) and ESS decreased 1.29 ± 2.93 (p = .29). Neither group experienced statistically significant changes in sleep duration, efficiency, disturbances, or fatigue.Conclusion: Sleep education with PHM may improve or prevent decreases in sleep outcomes during pregnancy. Further investigation in larger trials is warranted.
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Sedov ID, Anderson NJ, Dhillon AK, Tomfohr-Madsen LM. Insomnia symptoms during pregnancy: A meta-analysis. J Sleep Res 2020; 30:e13207. [PMID: 33140514 DOI: 10.1111/jsr.13207] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 07/28/2020] [Accepted: 07/30/2020] [Indexed: 11/28/2022]
Abstract
Reports of sleep disturbances are common during pregnancy, yet estimates of prevalence of insomnia symptoms during pregnancy vary widely. The goals of the current review were to summarize the existing data on prevalence of insomnia symptoms during pregnancy and to explore potential moderators, including trimester, gestational age, maternal age, symptoms of anxiety and symptoms of depression. A systematic search of PubMed, PsycInfo and Web of Science was conducted for articles published from inception up to June 2020. In total, 24 studies with a total of 15,564 participants were included in the analysis. The overall prevalence of insomnia symptoms during pregnancy was 38.2%. Trimester was a significant moderator, such that prevalence of insomnia symptoms was higher in the third trimester (39.7%) compared to first (25.3%) and second (27.2%) trimesters. No other variables significantly moderated the prevalence of insomnia symptoms. The results of the current meta-analysis suggest that the prevalence of insomnia symptoms is higher during pregnancy, particularly in the third trimester. Future research should examine the efficacy and safety of insomnia treatments with this population.
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Affiliation(s)
- Ivan D Sedov
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| | | | - Ashley K Dhillon
- Department of Psychology, University of Calgary, Calgary, AB, Canada
| | - Lianne M Tomfohr-Madsen
- Department of Psychology, University of Calgary, Calgary, AB, Canada.,Alberta Children's Hospital Research Institute for Child and Maternal Health (ACHRI), Calgary, AB, Canada.,Department of Pediatrics, Alberta Children's Hospital, Calgary, AB, Canada
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Lavonius M, Railo H, Karlsson L, Wikström V, Tuulari JJ, Scheinin NM, Paavonen EJ, Polo-Kantola P, Karlsson H, Huotilainen M. Maternal sleep quality during pregnancy is associated with neonatal auditory ERPs. Sci Rep 2020; 10:7228. [PMID: 32350333 PMCID: PMC7190640 DOI: 10.1038/s41598-020-64160-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Accepted: 04/07/2020] [Indexed: 12/31/2022] Open
Abstract
Poor maternal sleep quality during pregnancy may act as a prenatal stress factor for the fetus and associate with neonate neurocognition, for example via fetal programming. The impacts of worsened maternal sleep on neonatal development and, more specifically on neonatal auditory brain responses, have not been studied. A total of 155 mother-neonate dyads drawn from the FinnBrain Birth Cohort Study participated in our study including maternal self-report questionnaires on sleep at gestational week 24 and an event-related potential (ERP) measurement among 1-2-day-old neonates. For sleep quality assessment, the Basic Nordic Sleep Questionnaire (BNSQ) was used and calculated scores for (1) insomnia, (2) subjective sleep loss and (3) sleepiness were formed and applied in the analyses. In the auditory ERP protocol, three emotionally uttered pseudo words (in happy, angry and sad valence) were presented among neutrally uttered pseudo words. To study the relations between prenatal maternal sleep quality and auditory emotion-related ERP responses, mixed-effects regression models were computed for early (100–200 ms) and late (300–500 ms) ERP response time-windows. All of the selected BNSQ scores were associated with neonatal ERP responses for happy and angry emotion stimuli (sleep loss and sleepiness in the early, and insomnia, sleep loss and sleepiness in the late time-window). For sad stimuli, only maternal sleep loss predicted the neonatal ERP response in the late time-window, likely because the overall ERP was weakest in the sad condition. We conclude that maternal sleep quality during pregnancy is associated with changes in neonatal auditory ERP responses.
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Affiliation(s)
- Maria Lavonius
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.
| | - Henry Railo
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Clinical Neurophysiology, University of Turku and Turku University Hospital, Turku, Finland.,Department of Psychology, University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Child Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Valtteri Wikström
- Cognitive Brain Research Unit, and CICERO Learning Network, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
| | - Jetro J Tuulari
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Noora M Scheinin
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | | | - Päivi Polo-Kantola
- Department of Obstetrics and Gynecology, University of Turku and Turku University Hospital, Turku, Finland.,Sleep Research Center, Department of Physiology, University of Turku, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Department of Psychiatry, University of Turku and Turku University Hospital, Turku, Finland
| | - Minna Huotilainen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland.,Cognitive Brain Research Unit, and CICERO Learning Network, Faculty of Educational Sciences, University of Helsinki, Helsinki, Finland
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Aukia L, Paavonen EJ, Jänkälä T, Tolvanen M, Korja R, Karlsson L, Karlsson H, Polo-Kantola P. Insomnia symptoms increase during pregnancy, but no increase in sleepiness - Associations with symptoms of depression and anxiety. Sleep Med 2020; 72:150-156. [PMID: 32629418 DOI: 10.1016/j.sleep.2020.03.031] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2019] [Revised: 02/26/2020] [Accepted: 03/26/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVE To evaluate alteration in insomnia and sleepiness symptoms during pregnancy and assess early pregnancy risk factors for these symptoms, especially depressive and anxiety symptoms. METHODS A cohort of 1858 women was enrolled from the FinnBrain Birth Cohort Study. Insomnia and sleepiness symptoms were measured in early, mid- and late pregnancy with the Basic Nordic Sleep Questionnaire. Depressive symptoms were measured using the Edinburgh Postnatal Depression Scale and anxiety symptoms with the Symptom Checklist-90/Anxiety Scale. General linear models for repeated measures were conducted. RESULTS General sleep quality decreased (p < 0.001) and all insomnia types (p < 0.001) and sleep latencies (p < 0.001) increased as pregnancy proceeded. Snoring increased, but witnessed apneas remained rare. Nevertheless, morning (p = 0.019) and daytime (p < 0.001) sleepiness decreased from early to both mid-pregnancy and late pregnancy (p = 0.006 and p = 0.039). Women took more naps in early and late pregnancy compared to mid-pregnancy (both p < 0.001). Women with higher baseline anxiety symptoms had greater increase in sleep latency. At each pregnancy point, higher depressive and anxiety symptoms were associated with higher insomnia (p < 0.001) and sleepiness scores (p < 0.001) and higher depressive symptoms with longer sleep latencies (p < 0.001). CONCLUSION We found a marked increase in insomnia symptoms throughout pregnancy. However, sleepiness symptoms did not increase correspondingly. Both depressive and anxiety symptoms in early pregnancy were associated with higher insomnia and sleepiness symptoms in later stages of pregnancy which emphasizes the importance of their assessment in early pregnancy.
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Affiliation(s)
- Linda Aukia
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland.
| | - E Juulia Paavonen
- Pediatric Research Center, Child Psychiatry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; National Institute for Health and Welfare, Helsinki, Finland
| | - Tuire Jänkälä
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Psychology, University of Turku, Turku, Finland
| | - Mimmi Tolvanen
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland
| | - Riikka Korja
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Psychology, University of Turku, Turku, Finland
| | - Linnea Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Department of Child Psychiatry, Turku University Hospital and University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland
| | - Hasse Karlsson
- FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Institute of Clinical Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, Turku University Hospital and University of Turku, Turku, Finland; Department of Psychiatry, Turku University Hospital and University of Turku, Turku, Finland
| | - Päivi Polo-Kantola
- Department of Obstetrics and Gynecology, Turku University Hospital and University of Turku, Turku, Finland; Sleep Research Unit, Department of Physiology, University of Turku, Turku, Finland
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Quality of sleep and quality of life measured monthly in pregnant women in South Korea. Sleep Breath 2020; 24:1219-1222. [PMID: 32157477 DOI: 10.1007/s11325-020-02041-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 02/21/2020] [Accepted: 02/24/2020] [Indexed: 10/24/2022]
Abstract
PURPOSE The change in sleep patterns across the duration of pregnancy is an item of interest. The aim of this study is to provide data on pregnant women's quality of sleep (QoS) and quality of life (QoL) to determine appropriate times to screen for potential problems. METHODS This is a multicenter, prospective, longitudinal observational study. Primigravidae, with no previous illness, completed questionnaires once a month. Strict exclusion criteria were applied in order to evaluate QoS and QoL in "normal" pregnant women. RESULTS A total of 83 normal primigravidae completed this study. The mean age was 33.1 ± 4.0. During pregnancy, body mass index gradually increased, and QoS worsened to a significant degree between the fifth and ninth months (Pittsburgh Sleep Quality Index 6.8 ± 2.8 vs. 8.9 ± 3.6, p < 0.001). There was a statistically significant difference in QoL between the fifth and seventh months (Short Form-36 70.8 ± 18.3 vs. 67.3 ± 15.1, p = 0.009). There was no evidence of significant depression or suspicion of sleep-disordered breathing. CONCLUSIONS Pregnant women in South Korea have gradual worsening of QoS which becomes clinically significant by full term. QoL changes significantly between the fifth and seventh months. The results of this observational study suggest that it would be fruitful to evaluate QoS and QoL in pregnant women between the second and third trimesters.
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Delayed sleep timing and circadian rhythms in pregnancy and transdiagnostic symptoms associated with postpartum depression. Transl Psychiatry 2020; 10:14. [PMID: 32066689 PMCID: PMC7026062 DOI: 10.1038/s41398-020-0683-3] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Revised: 11/22/2019] [Accepted: 11/27/2019] [Indexed: 02/06/2023] Open
Abstract
Later sleep timing, circadian preference, and circadian rhythm timing predict worse outcomes across multiple domains, including mood disorders, substance use, impulse control, and cognitive function. Disturbed sleep is common among pregnant and postpartum women. We examined whether sleep timing during third trimester of pregnancy predicted postpartum symptoms of mania, depression, and obsessive-compulsive disorder (OCD). Fifty-one women with a previous, but not active, episode of unipolar or bipolar depression had symptoms evaluated and sleep recorded with wrist actigraphy at 33 weeks of gestation and 2, 6, and 16 weeks postpartum. Circadian phase was measured in a subset of women using salivary dim light melatonin onset (DLMO). We divided the sample into "early sleep" and "late sleep" groups using average sleep onset time at 33 weeks of gestation, defined by the median-split time of 11:27 p.m. The "late sleep" group reported significantly more manic and depressive symptoms at postpartum week 2. Longer phase angle between DLMO and sleep onset at 33 weeks was associated with more manic symptoms at postpartum week 2 and more obsessive-compulsive symptoms at week 6. Delayed sleep timing in this sample of at-risk women was associated with more symptoms of mania, depression, and OCD in the postpartum period. Sleep timing may be a modifiable risk factor for postpartum depression.
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Associations of sleep duration, sedentary behaviours and energy expenditure with maternal glycemia in pregnancy. Sleep Med 2020; 65:54-61. [DOI: 10.1016/j.sleep.2019.07.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2019] [Revised: 07/09/2019] [Accepted: 07/12/2019] [Indexed: 12/16/2022]
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Yang Y, Li W, Ma TJ, Zhang L, Hall BJ, Ungvari GS, Xiang YT. Prevalence of Poor Sleep Quality in Perinatal and Postnatal Women: A Comprehensive Meta-Analysis of Observational Studies. Front Psychiatry 2020; 11:161. [PMID: 32231599 PMCID: PMC7082815 DOI: 10.3389/fpsyt.2020.00161] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 02/20/2020] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Sleep disturbance is common in perinatal and postnatal women, but the epidemiology of sleep problems is highly variable in these populations. This was a meta-analysis that examined the prevalence of poor sleep quality and its correlates among perinatal and postnatal women. METHODS A systematic search of both international and Chinese databases (PubMed, EMBASE, PsycINFO, Web of Science, CNKI, and Wangfang) was performed. Studies with data on sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI) were included. RESULTS Forty-two studies were included for analyses. The prevalence of poor sleep quality was 54.2% (95% CI: 47.9-60.5%) in perinatal and postnatal women, with 44.5% (95% CI: 37.6-51.6%) in perinatal women and 67.2% (95% CI: 57.6-75.5%) in postnatal women. The pooled total PSQI score was 7.54 ± 0.40 (95% CI: 6.75-8.33), while the average PSQI component scores varied from 0.13 ± 0.04 for use of sleeping medication to 1.51 ± 0.17 for habitual sleep efficiency. Maternal age, study site, survey year, comorbidity, PSQI cut-off value, and quality assessment score had significant moderating effects on the prevalence of poor sleep quality. CONCLUSION Given the negative impact of poor sleep quality on health outcomes and well-being, regular screening for poor sleep quality and effective interventions should be conducted for this population.
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Affiliation(s)
- Yuan Yang
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, China.,Center for Cognition and Brain Sciences, University of Macau, Macau, China.,Department of Psychiatry, Southern Medical University Nanfang Hospital, Guangdong-Hong Kong-Macao Greater Bay Area Center for Brain Science and Brain-Inspired Intelligence, Guangdong, China
| | - Wen Li
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, China.,Center for Cognition and Brain Sciences, University of Macau, Macau, China
| | - Tian-Jiao Ma
- Department of Social Medicine and Health Management, School of Public Health, Jilin University, Changchun, China
| | - Ling Zhang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital & the Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| | - Brian J Hall
- Global and Community Mental Health Research Group, Department of Psychology, University of Macau, Macau, China
| | - Gabor S Ungvari
- Division of Psychiatry, School of Medicine, University of Western Australia, Perth, WA, Australia.,The University of Notre Dame Australia, Fremantle, WA, Australia
| | - Yu-Tao Xiang
- Unit of Psychiatry, Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, China.,Center for Cognition and Brain Sciences, University of Macau, Macau, China
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