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Li Z, Cui S, Wang H, Xiong W, Han Y, Dai W, Xi W, Cui T, Zhang X. Associations of maternal sleep trajectories during pregnancy and adverse perinatal outcomes: a prospective cohort study. Sleep Med 2024; 117:71-78. [PMID: 38513533 DOI: 10.1016/j.sleep.2024.03.005] [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: 10/05/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 03/23/2024]
Abstract
OBJECTIVE Sleep problems are common in pregnant women and sleep is altered during pregnancy. However, the associations between sleep trajectory patterns and adverse maternal and neonatal outcomes are unclear. The current study aims to identify sleep trajectory patterns and explore their associations with adverse perinatal outcomes in a prospective cohort study. METHODS Pregnant women (N = 232) completed the Pittsburgh Sleep Quality Index each trimester during pregnancy in Tianjin, China. Perinatal outcomes were extracted from the hospital delivery records. Latent class growth analysis (LCGA) described the trajectories of sleep timing, duration, and efficiency. Multivariable linear regression and multivariable logistic regression were employed to evaluate associations between sleep trajectory patterns and perinatal outcomes. RESULTS Trajectories were identified for bedtime (early, 49.1%; delaying, 50.9%), wake-up time (early, 82.8% of the sample; late, 17.2%), duration (short, 5.2%; adequate 78.0%; excessive, 16.8%), and efficiency (high, 88.4%; decreasing, 11.6%). Compared with women in more optimal sleep groups, those in the late wake-up, excessive duration, and decreasing efficiency groups had babies with shorter birth lengths (β range, -0.50 to -0.28, p < 0.05). Moreover, women in the decreasing efficiency group had babies with lower birth weight (β, -0.44; p < 0.05). Women in the delaying bedtime group had greater odds of preterm delivery (OR, 4.57; p < 0.05), while those in the decreasing efficiency group had greater odds of cesarean section (OR, 3.12; p < 0.05). CONCLUSIONS Less optimal sleep trajectory patterns during pregnancy are associated with perinatal outcomes. Therefore, early assessment of maternal sleep during pregnancy is significant for identifying at-risk women and initiating interventions to reduce perinatal outcomes.
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Affiliation(s)
- Zhi Li
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China
| | - Shanshan Cui
- Beijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing, 100069, China
| | - Hui Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China
| | - Wenjuan Xiong
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China
| | - Yu Han
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China
| | - Wei Dai
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China
| | - Wei Xi
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China
| | - Tingkai Cui
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China
| | - Xin Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Tianjin Medical University, No. 22 Qixiangtai Road, Tianjin, 300070, China; Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China.
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Whitaker KM, Jones MA, Smith K, Catov J, Feghali M, Kline CE, Santillan M, Santillan D, Zimmerman B, Gibbs BB. Study Design and Protocol of the Multisite Pregnancy 24/7 Cohort Study. Am J Epidemiol 2024; 193:415-425. [PMID: 37939072 DOI: 10.1093/aje/kwad208] [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: 02/12/2023] [Revised: 05/29/2023] [Accepted: 10/26/2023] [Indexed: 11/10/2023] Open
Abstract
Hypertensive disorders of pregnancy and other adverse pregnancy outcomes (APOs) are associated with an increased risk of future maternal cardiovascular disease. Physical activity during pregnancy reduces the risk of these APOs, yet few meet physical activity guidelines during pregnancy. Little is known about the role of sedentary behavior or sleep in APOs, a critical gap in knowledge given these behaviors comprise the majority of a 24-hour day. To address this knowledge gap, the Pregnancy 24/7 cohort study (2020-2025) uses 2 devices for 24-hour activity assessment in each trimester of pregnancy to examine associations of sedentary behavior, sleep, and the 24-hour activity cycle (composition of sedentary behavior, physical activity, and sleep) with hypertensive disorders and other APOs. Participants (n = 500) are recruited from the University of Iowa, University of Pittsburgh, and West Virginia University in early pregnancy and followed through delivery. The activPAL3 micro and Actiwatch Spectrum Plus are worn in each trimester for 7 days of 24-hour wear to assess the 24-hour activity cycle. APOs are abstracted from medical charts. This study will provide critical data to fuel future research examining how modifying the 24-hour activity cycle in pregnancy can improve maternal health.
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Yang CL, Kerver JM, Hirko K, Dunietz GL, O'Brien LM, Jansen EC. Delayed Sleep Midpoint Across Pregnancy Is Associated with Excessive Gestational Weight Gain. J Womens Health (Larchmt) 2024; 33:62-72. [PMID: 37552849 PMCID: PMC10794831 DOI: 10.1089/jwh.2023.0092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/10/2023] Open
Abstract
Background: Changes in sleep patterns and body weight occur during pregnancy, yet it is unclear whether sleep patterns are related to gestational weight gain (GWG). This study examined the relationship between maternal sleep across pregnancy and excessive GWG. Methods: Participants from the Michigan Archive for Research on Child Health (MARCH) cohort study, who had singleton births and provided information on fall-asleep and wake-up times during early (first or second) and the third trimesters, were included (n = 372). Changes in sleep duration and sleep midpoints throughout pregnancy were calculated. Prepregnancy weight and the last maternal weight before delivery were used to calculate GWG, which was categorized into groups (inadequate, adequate, and excessive). Poisson regression models were used to examine associations between sleep changes and excessive GWG, adjusted for age, race, gestational age, prepregnancy body mass index, income, fetus gender, physical activity, added sugar, and fruit and vegetable intake. Results: Excessive GWG was observed in 46.5% of women, and was more common among those with prepregnancy obesity (p < 0.001). Women who delayed sleep midpoint by 1 hour (or more) from the early trimester assessment to the third trimester experienced higher risk of excessive GWG (Risk ratio: 1.3; 95% confidence interval: 1.1-1.7). Single time points of sleep duration and sleep midpoint or changes in sleep duration were not related to GWG. Conclusions: Delay in sleep midpoint from early-mid pregnancy to the third trimester was associated with excessive GWG. Health professionals should consider changes in sleep patterns during pregnancy to identify those prone to excessive GWG.
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Affiliation(s)
- Chia-Lun Yang
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
| | - Jean M. Kerver
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
| | - Kelly Hirko
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA
| | - Galit Levi Dunietz
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Louise M. O'Brien
- Division of Sleep Medicine, Department of Neurology, University of Michigan, Ann Arbor, Michigan, USA
| | - Erica C. Jansen
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA
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Howie EK, Nelson A, McVeigh JA, Andres A. Physical Activity, Sedentary and Sleep Phenotypes in Women During the First Trimester of Pregnancy. Matern Child Health J 2023; 27:1834-1845. [PMID: 37436642 DOI: 10.1007/s10995-023-03745-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/14/2023] [Indexed: 07/13/2023]
Abstract
OBJECTIVES Patterns of physical behaviors including physical activity, sedentary time, and sleep are unknown during pregnancy, but are likely to influence health outcomes. The purpose was to first identify "physical behavior phenotypes" from accelerometer-measured physical behaviors in pregnant women during the first trimester and secondly, to explore the associations between the identified phenotypes with demographic variables and body-mass-index (BMI). METHODS Data were from the Glowing Study (gov ID: NCT01131117), collected between 2011 and 2017 with accelerometer-measured physical behaviors of women in their 12th week of pregnancy. Latent class analysis was used to identify patterns of total physical activity, sleep time, sedentary time, and variation in physical activity. Maternal Body-Mass-Index (BMI). BMI and sociodemographic characteristics were compared between physical behavior phenotypes. RESULTS A total of 212 pregnant women were included in the study (mean age 30.2 years (range 22.1 to 42.4), mean days wear 4.3 (SD 0.7)). Three physical behavior phenotypes were identified from the four physical behavior constructs: low sedentary and stable activity (n = 136, 64%), variable activity (n = 39, 18%), high sedentary and low sleep (n = 37, 17%). BMI, race, and education were significantly different between the three phenotypes, with the low sedentary and stable activity phenotype having the lowest BMI and a higher percentage of white and college educated women. CONCLUSIONS FOR PRACTICE Total physical activity and physical behavior phenotypes during the first trimester were associated with early-pregnancy BMI, race, and education. Future research should examine whether these physical behavior phenotypes are associated with maternal and child health outcomes.
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Affiliation(s)
- Erin K Howie
- Department of Health, Human Performance and Recreation, University of Arkansas, HPER 308I, Fayetteville, AR, 72701, USA.
- Curtin School of Allied Health, Curtin University, Perth, WA, Australia.
| | - Alexander Nelson
- Department of Computer Science and Computer Engineering, University of Arkansas, Fayetteville, AR, USA
| | - Joanne A McVeigh
- Curtin School of Allied Health, Curtin University, Perth, WA, Australia
- Movement Physiology Laboratory, School of Physiology, University of Witwatersrand, Johannesburg, South Africa
| | - Aline Andres
- Arkansas Children's Nutrition Center & Arkansas Children's Research Institute, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
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Nevarez-Brewster M, Aran Ö, Narayan AJ, Harrall KK, Brown SM, Hankin BL, Davis EP. Adverse and Benevolent Childhood Experiences Predict Prenatal Sleep Quality. ADVERSITY AND RESILIENCE SCIENCE 2022; 3:391-402. [PMID: 36968335 PMCID: PMC10035559 DOI: 10.1007/s42844-022-00070-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/13/2022] [Indexed: 11/28/2022]
Abstract
The objective of the study was to investigate whether adverse and benevolent childhood experiences were associated with trajectories of sleep quality throughout pregnancy. The study was conducted at obstetrics and gynecology clinics in the Rocky Mountain region of the USA. The participants of the study were pregnant individuals (N = 164). Sleep quality was measured with the Pittsburgh Sleep Quality Index at three gestational time points, and adverse childhood experiences (ACEs) and benevolent childhood experiences (BCEs) were assessed once. Multilevel models were conducted to examine the trajectory of sleep quality across gestation in relation to ACEs and BCEs. Sleep quality was similar in early to mid-pregnancy, with a worsening of sleep quality late in pregnancy, following a quadratic trajectory. Higher levels of ACEs predicted poorer prenatal sleep quality (b = 0.36, SE = 0.13, p = .004) throughout pregnancy, while higher levels of BCEs predicted better sleep quality (b = -0.60, SE = 0.17, p < .001) throughout pregnancy. Examination of ACEs subtypes revealed that childhood maltreatment predicted poor sleep quality (b = 0.66, SE = 0.18, p < .001), while childhood household dysfunction was not significantly associated (b = 0.33, SE = 0.21, p = .11). Associations remained after covarying for socioeconomic status and current stressful life events. Both adverse and benevolent childhood experiences predict sleep health during pregnancy. Prevention and intervention strategies targeting resilience and sleep quality during pregnancy should be implemented to promote prenatal health and well-being.
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Affiliation(s)
| | - Özlü Aran
- Department of Psychology, University of Denver, 2155 S Race St, Denver, CO 80208, USA
| | - Angela J. Narayan
- Department of Psychology, University of Denver, 2155 S Race St, Denver, CO 80208, USA
| | - Kylie K. Harrall
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Colorado School of Public Health, Aurora, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, USA
| | | | - Benjamin L. Hankin
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, USA
| | - Elysia Poggi Davis
- Department of Psychology, University of Denver, 2155 S Race St, Denver, CO 80208, USA
- Department of Pediatrics, University of California, Irvine, Irvine, USA
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Cannon SS, Lastella M, Evenson KR, Hayman MJ. The association between physical activity and sleep during pregnancy: a systematic review. Behav Sleep Med 2022:1-16. [PMID: 36111666 DOI: 10.1080/15402002.2022.2124258] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
OBJECTIVES Pregnant women frequently report experiencing poor sleep. Poor sleep during pregnancy is associated with negative health outcomes for both mother and baby. Physical activity (PA), including exercise may be an effective non-pharmacological strategy for improving sleep during pregnancy. The aim of this systematic review was to synthesize the current literature on the association between physical activity (including exercise) and sleep during pregnancy. METHOD A systematic online search was undertaken between 15-16 February 2022 in PsycINFO, CINAHL, Embase and PubMed. To meet the inclusion criteria articles had to; [1] be published in a peer reviewed journal; [2] consist of pregnant participants; and [3] be published in English. Studies were excluded if they were not published in English and did not investigate the association between a type of physical activity (including exercise) and a sleep variable during a trimester of pregnancy. RESULTS Ten studies were included in this review. Five of the ten studies used observational data collection measures and the remaining five used intervention based methods. Eight of the ten included studies found PA (including exercise) was positively associated with sleep during pregnancy. CONCLUSION In order to properly establish PA as a strategy to improve sleep during pregnancy, future research should aim to determine the PA characteristics most beneficial to sleep during pregnancy across each trimester.
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Affiliation(s)
- Summer S Cannon
- School of Health, Medical, and Applied Sciences, CQUniversity, Rockhampton, Australia
| | - Michele Lastella
- Appleton Institute for Behavioural Science, CQUniversity, Adelaide, Australia
| | - Kelly R Evenson
- Gillings School of Global Public Health, Department of Epidemiology, University of North Carolina - Chapel Hill, Chapel Hill, North Carolina, USA
| | - Melanie J Hayman
- School of Health, Medical, and Applied Sciences, CQUniversity, Rockhampton, Australia
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Cai C, Busch S, Wang R, Sivak A, Davenport MH. Physical activity before and during pregnancy and maternal mental health: A systematic review and meta-analysis of observational studies. J Affect Disord 2022; 309:393-403. [PMID: 35500685 DOI: 10.1016/j.jad.2022.04.143] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 04/21/2022] [Accepted: 04/24/2022] [Indexed: 10/18/2022]
Abstract
OBJECTIVE To examine the influence of physical activity before and during pregnancy on maternal mental health outcomes. METHODS Ten electronic databases were searched up to May 11, 2021. Studies of all observational designs (except case studies and reviews) were included, which contained information on the relevant population (women before and or during pregnancy), exposures (objective or subjective measures of physical activity), comparator (low or no physical activity), and outcomes (diagnosis and symptom severity of depression or anxiety, quality of life scores, stress and emotions). RESULTS Forty-four observational studies (N = 132,399) were included. 'Low' to 'very low' certainty evidence revealed that compared with low levels of PA during pregnancy, high levels of PA were associated with a reduced odds of developing prenatal depression (odds ratio (OR): 0.68, 95% confidence interval (CI): 0.58 to 0.80) and anxiety (OR: 0.67, 95% CI: 0.54 to 0.83). We also found a reduction in the severity of prenatal depressive symptoms (standardized mean difference (SMD): -0.37, 95% CI -0.57 to -0.17), prenatal anxiety symptoms (SMD: -0.45, 95% CI -0.64 to -0.27), and prenatal stress (SMD: -0.33, 95% CI -0.55 to -0.11), concurrent with improved quality of life (SMD: 0.38, 95% CI 0.23 to 0.54). PA before pregnancy did not impact the outcomes of interest. CONCLUSION Physical activity during pregnancy is associated with a reduction in the odds and severity of prenatal depression and anxiety, as well as reduced stress and improved quality of life. PROSPERO registration number: CRD42020208469.
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Affiliation(s)
- Chenxi Cai
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen University, Xiamen, Fujian, China.
| | - Stephen Busch
- Program for Pregnancy and Postpartum Health, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Rachel Wang
- Program for Pregnancy and Postpartum Health, Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Allison Sivak
- H.T. Coutts Education & Physical Education Library, University of Alberta, Edmonton, Alberta, Canada
| | - Margie H Davenport
- Program for Pregnancy and Postpartum Health, Faculty of Kinesiology, Sport and Recreation, Women and Children's Health Research Institute, Alberta Diabetes Institute, University of Alberta, Edmonton, Alberta, Canada
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Jones MA, Diesel SJ, Gibbs BB, Whitaker KM. Concurrent Agreement Between ActiGraph and activPAL for Measuring Physical Activity in Pregnant Women and Office Workers. JOURNAL FOR THE MEASUREMENT OF PHYSICAL BEHAVIOUR 2022; 5:69-75. [PMID: 36340243 PMCID: PMC9635580 DOI: 10.1123/jmpb.2021-0050] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Current best practice for objective measurement of sedentary behavior and moderate-to-vigorous intensity physical activity (MVPA) requires two separate devices. This study assessed concurrent agreement between the ActiGraph GT3X and the activPAL3 micro for measuring MVPA to determine if activPAL can accurately measure MVPA in addition to its known capacity to measure sedentary behavior. METHODS Forty participants from two studies, including pregnant women (n = 20) and desk workers (n = 20), provided objective measurement of MVPA from waist-worn ActiGraph GT3X and thigh-worn activPAL micro3. MVPA from the GT3X was compared with MVPA from the activPAL using metabolic equivalents of task (MET)- and step-based data across three epochs. Intraclass correlation coefficient and Bland-Altman analyses, overall and by study sample, compared MVPA minutes per day across methods. RESULTS Mean estimates of activPAL MVPA ranged from 22.7 to 35.2 (MET based) and 19.7 to 25.8 (step based) minutes per day, compared with 31.4 min/day (GT3X). MET-based MVPA had high agreement with GT3X, intraclass correlation coefficient ranging from .831 to .875. Bland-Altman analyses revealed minimal bias between 15- and 30-s MET-based MVPA and GT3X MVPA (-3.77 to 8.63 min/day, p > .10) but with wide limits of agreement (greater than ±27 min). Step-based MVPA had moderate to high agreement (intraclass correlation coefficient: .681-.810), but consistently underestimated GT3X MVPA (bias: 5.62-11.74 min/day, p < .02). For all methods, activPAL appears to better estimate GT3X at lower quantities of MVPA. Results were similar when repeated separately by pregnant women and desk workers. CONCLUSION activPAL can measure MVPA in addition to sedentary behavior, providing an option for concurrent, single device monitoring. MET-based MVPA using 30-s activPAL epochs provided the best estimate of GT3X MVPA in pregnant women and desk workers.
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Affiliation(s)
- Melissa A Jones
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA, USA
| | - Sara J Diesel
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA, USA
| | - Bethany Barone Gibbs
- Department of Health and Human Development and Clinical and Translational Science, University of Pittsburgh, Pittsburgh, PA, USA
| | - Kara M Whitaker
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA, USA
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
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A Delphi Study to Identify Research Priorities Regarding Physical Activity, Sedentary Behavior and Sleep in Pregnancy. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052909. [PMID: 35270601 PMCID: PMC8909963 DOI: 10.3390/ijerph19052909] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 02/12/2022] [Accepted: 02/17/2022] [Indexed: 12/10/2022]
Abstract
This study aimed to produce a list of the top 10 research priorities regarding physical activity, sedentary behavior, and sleep in pregnancy. Using the Delphi methodology, pregnant/postpartum individuals (N = 118), exercise professionals and healthcare providers (N = 55) listed up to 10 questions perceived as unanswered regarding physical activity, sedentary behavior, and sleep in pregnancy (Round 1). Respondents rated the proposed questions on a Likert importance scale (Round 2), and the sum of ratings received were totaled. Questions of priority regarding physical activity among pregnant/postpartum individuals (N = 67), healthcare providers and exercise professionals (N = 22) pertained to exercise prescription, impact of exercise on maternal and fetal outcomes and impact of exercise on pregnancy conditions, special population groups and clinical education and access to information. Sedentary behavior priorities included the impact of sedentary behavior on maternal and fetal outcomes, sedentary recommendations and exercise and sedentary positioning. Sleep research priorities included the impact of pregnancy on sleep, safety, sleeping aids and the effect of exercise on sleep. Pregnant/postpartum women, healthcare providers and exercise professionals prioritized questions that have in part been addressed by existing research, highlighting a need for improved knowledge translation from research to practice. They have also identified novel questions that warrant prioritization within future research.
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Wang R, Xu M, Yang W, Xie G, Yang L, Shang L, Zhang B, Guo L, Yue J, Zeng L, Chung MC. Maternal sleep during pregnancy and adverse pregnancy outcomes: a systematic review and meta-analysis. J Diabetes Investig 2022; 13:1262-1276. [PMID: 35171528 PMCID: PMC9248434 DOI: 10.1111/jdi.13770] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 01/26/2022] [Accepted: 02/11/2022] [Indexed: 11/28/2022] Open
Abstract
AIM/INTRODUCTION Sleep problem is an important public health concern worldwide. We conducted a meta-analysis to quantitatively evaluate whether sleep duration associated with pregnancy outcomes, and the associations were modified by important characteristics of studies. MATERIALS AND METHODS Basing on PubMed, Embase, the Cochrane Central Register of Controlled Trials (CENTRAL) databases, we searched for the published literature related to maternal sleep duration and adverse pregnancy outcomes before 30 June, 2021. We conducted risk of bias assessment, subgroup analyses and sensitivity analysis. The relative risks (RR) or odds ratios (OR) with 95% confidence intervals (CI) were used to estimate the pooled effects. RESULTS 5246 references were identified through databases searching, 41 studies were included in the study. Pregnant with short sleep duration had 1.81 times (95% CI 1.35-2.44, P < 0.001) risk of gestational diabetes mellitus (GDM). The association between short sleep duration and the risk of gestational hypertension (GH), cesarean section (CS), low birthweight (LBW), preterm birth (PTB) and small for gestational age (SGA) were not significant (P > 0.05). Furthermore, long sleep duration was significantly correlated with GDM (OR 1.24. 95% CI 1.12-1.36, P < 0.001) and CS (OR 1.13. 95% CI 1.04-1.22, P = 0.004), while long sleep duration was not linked with GH, LBW, PTB and SGA (P > 0.05). CONCLUSIONS Short / long sleep duration appeared to be associated with adverse pregnancy outcome, specifically with an increased risk of GDM. Sleep should be systematically screened in the obstetric population.
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Affiliation(s)
- Ruiqi Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Mengmeng Xu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China
| | - Wenfang Yang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China
| | - Guilan Xie
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Liren Yang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Li Shang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China.,Shenzhen Health Development Research and Data Management Center, Shenzhen, Guangdong, P.R. China
| | - Boxing Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China.,School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Leqian Guo
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Maternal & Child Health Center, Xi'an, Shaanxi, P.R. China
| | - Jie Yue
- Department of Pediatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, P.R. China
| | - Lingxia Zeng
- Department of Epidemiology and Biostatistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, P.R. China
| | - Mei Chun Chung
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Massachusetts Boston, United States of America
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