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Smid AKK, Štukovnik V, Bakracevic K. Sleep and emotional functioning in premature children: A systematic literature review. Early Hum Dev 2025; 205:106251. [PMID: 40198964 DOI: 10.1016/j.earlhumdev.2025.106251] [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: 01/11/2025] [Revised: 03/23/2025] [Accepted: 03/27/2025] [Indexed: 04/10/2025]
Abstract
Sleep, as the predominant behavioral state in newborns, especially in preterm infants, represents a key component for development. It is suggested that preterm children exhibit greater sleep difficulties compared to full-term children, as well as a disproportionately higher prevalence of emotional deficits. Due to the limited research on sleep and emotional functioning in the population of preterm children, particularly their interconnections, the primary aim of this systematic literature review was to explore existing scientific research on sleep and emotional functioning in preterm children, with particular focus on emotional regulation. Additionally, we aimed to examine potential links between these two constructs in this population. As a secondary objective, the review also considered studies addressing any interventions related to sleep or emotional functioning in preterm children. The results of the systematic literature review did not allow for definite conclusions regarding sleep in preterm compared to full-term children from a qualitative perspective. On the other hand, an increased presence of emotional and behavioral difficulties in this population was clearly identified. An effective intervention for regulating emotions and sleep was found to be the kangaroo care, as well when combined with music intervention. Breastfeeding also demonstrated positive effects on behavioral and emotional functioning. There appears to be a tendency for sleep problems to manifest more noticeably in late compared to early childhood. This finding highlighted the importance of long-term monitoring of this population through later childhood, adolescence, and even adulthood to better understand the long-term consequences of preterm birth on sleep and emotional functioning. Further research is essential for developing interventions that could mitigate or prevent long-term negative effects on sleep and emotional well-being associated with preterm birth.
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Affiliation(s)
- Annemarie Kim Kozole Smid
- University of Maribor, Faculty of Arts, Dept. of Psychology, Koroška cesta 160, 2000 Maribor, Slovenia; General Hospital Ptuj, Potrčeva cesta 23, 2250 Ptuj, Slovenia
| | - Vita Štukovnik
- University of Maribor, Faculty of Arts, Dept. of Psychology, Koroška cesta 160, 2000 Maribor, Slovenia
| | - Karin Bakracevic
- University of Maribor, Faculty of Arts, Dept. of Psychology, Koroška cesta 160, 2000 Maribor, Slovenia.
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Geiger SD, Chandran A, Churchill ML, Mansolf M, Zhang C, Musaad S, Blackwell CK, Eick SM, Goin DE, Korrick S, Alshawabkeh A, Brennan PA, Breton CV, Cordero JF, Deoni S, D'Sa V, Dunlop AL, Elliott AJ, Ferrara A, Keddie A, LeBourgeois M, LeWinn KZ, Koinis-Mitchell D, Lucchini M, Nozadi SS, O'Connor T, Zhu Y, Zimmerman E, Schantz SL. Association between maternal stress and child sleep quality: a nationwide ECHO prospective cohort study. Pediatr Res 2025; 97:980-988. [PMID: 39394425 DOI: 10.1038/s41390-024-03542-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 07/10/2024] [Accepted: 07/15/2024] [Indexed: 10/13/2024]
Abstract
BACKGROUND Childhood sleep quality is associated with physical, cognitive, and behavioral health and predicts later sleep quality; it has many determinants, including developmental exposures. OBJECTIVES To examine associations between maternal stress during pregnancy and childhood sleep quality and determine whether postnatal stress mediates the association. METHOD Data from the Environmental Influences on Child Health Outcomes cohort were used. Perceived Stress Scale (PSS) T-scores were the exposure measure. Outcome measures were preschool Child Behavior Checklist (CBCL) sleep syndrome scale and Patient-Reported Outcomes Measurement Information System Sleep Disturbance Parent Proxy short form 4a (PSD4a) T-scores at ages 4-8 years. Linear mixed-effects regression modeling was performed for each sleep outcome, adjusting for maternal age at delivery and education and child sex, gestational age at birth, and age at outcome ascertainment, with random intercepts for cohorts. RESULTS Prenatal PSS score was associated with both CBCL (B = 0.09, 95% confidence interval [CI]: 0.06, 0.11; p < 0.01) and PSD4a (B = 0.07, 95% CI: 0.03, 0.12; p < 0.01) scores. Postnatal perceived stress mediated a proportion of the total effect of prenatal stress in both CBCL (66.3%) and PSD4a (95.9%) samples. CONCLUSIONS Both pre- and postnatal maternal perceived stress appear to influence sleep quality during early life. IMPACT Prenatal stress significantly associates with child sleep problems and disturbances at ages 4-8 years; postnatal maternal stress is a significant mediator of these associations. Research suggests a range of prenatal affective/distress exposures associated with child sleep problems, but the conclusions remain in doubt due to the mixture of exposures and outcomes employed. Ours is the first US-based effort to explore associations between perceived maternal stress during pregnancy and child sleep problems and disturbance in early and middle childhood. Even a small effect of a prevalent issue like psychosocial stress may have important public health implications at the population level.
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Affiliation(s)
- Sarah Dee Geiger
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
| | - Aruna Chandran
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Marie L Churchill
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Maxwell Mansolf
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Cai Zhang
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Salma Musaad
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Courtney K Blackwell
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Stephanie M Eick
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Dana E Goin
- Department of Obstetrics, Gynecology, and Reproductive Sciences, Program on Reproductive Health and the Environment, School of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Susan Korrick
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
| | | | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jose F Cordero
- Department of Epidemiology, University of Georgia College of Public Health, Athens, Georgia
| | - Sean Deoni
- Department of Pediatrics, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Viren D'Sa
- Department of Pediatrics, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Anne L Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | | | - Assiamira Ferrara
- Division of Research, Kaiser Permanente North California, Oakland, CA, USA
| | - Arlene Keddie
- School of Health Studies, Northern Illinois University, DeKalb, IL, USA
| | - Monique LeBourgeois
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Kaja Z LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA, USA
| | - Daphne Koinis-Mitchell
- Department of Pediatrics, Rhode Island Hospital and The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | | | - Sara S Nozadi
- Community Environmental Health Program, College of Pharmacy, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Thomas O'Connor
- Departments of Psychiatry, Neuroscience, Obstetrics and Gynecology, University of Rochester, Rochester, NY, USA
| | - Yeyi Zhu
- Kaiser Permanente North California Division of Research, Oakland, CA, USA
| | - Emily Zimmerman
- Department of Communication Sciences and Disorders, Northeastern University, Boston, MA, USA
| | - Susan L Schantz
- Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
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de Groot ER, van den Hoogen A, Ryan MAJ, L'Hoir MP, Kanits F, Sierksma NE, van der Schoor SRD, Quante M, Gliniak C, Dudink J. Sleep for infants after discharge from a neonatal ward: Expert- and parent endorsed strategies. Pediatr Res 2025:10.1038/s41390-025-03811-w. [PMID: 39824944 DOI: 10.1038/s41390-025-03811-w] [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: 03/14/2024] [Revised: 11/07/2024] [Accepted: 11/24/2024] [Indexed: 01/20/2025]
Abstract
BACKGROUND This study aims to outline sleep strategies grounded in scientific research and endorsed by sleep experts, integrating parental input into the evaluation process, to assist parents in supporting infant sleep after discharge from a neonatal ward. METHODS A Delphi method, consisting of three rounds, was employed. Sleep strategies based on scientific literature were presented to sleep experts and parents of infants discharged from a neonatal ward. RESULTS A literature search identified 11 sleep strategies. These strategies were incorporated in Delphi round 1. Out of 17 sleep experts, 13 reviewed and revised these 11 sleep strategies, resulting in a list of 8 sleep strategies. In round 2, these strategies were ranked by 14 out of 17 sleep experts, with "knowledge gathering" being ranked the most important sleep strategy. In round 3, the same list of 8 sleep strategies was ranked by 35 parents. They found "sleep hygiene" and "swaddling" the most important strategies. CONCLUSION This study offers 8 sleep strategies that are grounded in scientific research, supported by experts, and evaluated by parents. Experts and parents prioritize sleep strategies differently. Therefore, healthcare professionals should offer practical and customized sleep strategies that align with the unique needs of each family. IMPACT Experts and parents prioritize sleep strategies differently. This study offers a summary of sleep strategies that are grounded in scientific research, supported by experts, and include parental feedback in the evaluation process. Healthcare professionals can use these strategies to offer practical and customized sleep advise that aligns with the unique needs of each family.
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Affiliation(s)
- Eline R de Groot
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands
- Utrecht University, Utrecht, the Netherlands
| | - Agnes van den Hoogen
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands
- Utrecht University, Utrecht, the Netherlands
| | | | - Monique P L'Hoir
- Department of Global Nutrition, Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Floortje Kanits
- Department of Global Nutrition, Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, the Netherlands
| | - Nathalia E Sierksma
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Sophie R D van der Schoor
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Mirja Quante
- Department of Neonatology, University of Tuebingen, Tuebingen, Germany
| | - Christy Gliniak
- School of Psychology, Infant and Early Childhood Development, Fielding Graduate University, Santa Barbra, CA, USA
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Centre Utrecht, Utrecht, The Netherlands.
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Shuffrey LC, Rennie B, Li X, Galai N, Pini N, Akbaryan A, Alshawabkeh A, Aschner J, Vargas JC, Costello L, D'Sa V, Deoni S, Dunlop A, Elliott AJ, Fifer WP, Hash J, Koinis-Mitchell D, Lai JS, Leventhal BL, Lewis J, Lucchini M, McArthur KL, Morales S, Nozadi SS, O'Connor TG, O'Shea TM, Page GP, Propper C, Sania A, Shuster C, Zimmerman E, Margolis AE. Combining developmental and sleep health measures for autism spectrum disorder screening: an ECHO study. Pediatr Res 2025; 97:411-421. [PMID: 38867029 PMCID: PMC11635013 DOI: 10.1038/s41390-024-03306-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/01/2024] [Accepted: 05/20/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND Sleep problems are reported for up to 80% of autistic individuals. We examined whether parsimonious sets of items derived from the Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R) and the Brief Infant Sleep Questionnaire (BISQ) are superior to the standard M-CHAT-R in predicting subsequent autism spectrum disorder (ASD) diagnoses. METHODS Participants from 11 Environmental influences on Child Health Outcomes (ECHO) cohorts were included. We performed logistic LASSO regression models with 10-fold cross-validation to identify whether a combination of items derived from the M-CHAT-R and BISQ are superior to the standard M-CHAT-R in predicting ASD diagnoses. RESULTS The final sample comprised 1552 children. The standard M-CHAT-R had a sensitivity of 44% (95% CI: 34, 55), specificity of 92% (95% CI: 91, 94), and AUROC of 0.726 (95% CI: 0.663, 0.790). A higher proportion of children with ASD had difficulty falling asleep or resisted bedtime during infancy/toddlerhood. However, LASSO models revealed parental reports of sleep problems did not improve the accuracy of the M-CHAT-R in predicting ASD diagnosis. CONCLUSION While children with ASD had higher rates of sleep problems during infancy/toddlerhood, there was no improvement in ASD developmental screening through the incorporation of parent-report sleep metrics. IMPACT Parental-reported sleep problems are common in autism spectrum disorder (ASD). We investigated whether the inclusion of parental-reports of infant/toddler sleep patterns enhanced the effectiveness of developmental screening for autism. We reported higher rates of difficulty falling asleep and resisting bedtime during infancy and toddlerhood among children later diagnosed with ASD; however, we did not find an improvement in ASD developmental screening through the incorporation of parent-report sleep metrics. In our sample, the standard M-CHAT-R had a sensitivity of 39% among children of mothers with government insurance compared with a sensitivity of 53% among children of mothers with employer-based insurance.
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Affiliation(s)
- Lauren C Shuffrey
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA.
| | - Brandon Rennie
- Department of Pediatrics, University of New Mexico, Albuquerque, NM, USA
| | - Xiuhong Li
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Noya Galai
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Statistics, University of Haifa, Mt Carmel, Israel
| | - Nicolò Pini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Anahid Akbaryan
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Judy Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ, USA
| | - Julianna Collazo Vargas
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | - Lauren Costello
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | - Viren D'Sa
- Department of Pediatrics, Brown University, Providence, RI, USA
| | - Sean Deoni
- Maternal Newborn and Child Health: Discovery & Tools, The Bill & Melinda Gates Foundation, Seattle, WA, USA
| | - Anne Dunlop
- Department of Gynecology & Obstetrics, Emory University, Atlanta, Georgia
| | - Amy J Elliott
- Center for Pediatric and Community Research, Avera Research Institute, Sioux Falls, SD, USA
| | - William P Fifer
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
- Division of Developmental Neuroscience, New York State Psychiatric Institute, New York, NY, USA
| | - Jonica Hash
- Department of Child, Family, and Population Health Nursing, University of Washington, Seattle, WA, USA
| | - Daphne Koinis-Mitchell
- Departments of Pediatrics and Psychiatry and Human Behavior, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Jin-Shei Lai
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Bennett L Leventhal
- Department of Pediatrics, University of New Mexico, Albuquerque, NM, USA
- Department of Psychiatry and Behavioral Neuroscience, The University of Chicago, Chicago, IL, USA
| | - Johnnye Lewis
- Department of Pediatrics, University of New Mexico, Albuquerque, NM, USA
| | - Maristella Lucchini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Kristen L McArthur
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA
| | - Santiago Morales
- Departments of Psychology and Pediatrics, Developmental and Brain and Cognitive Science Areas, University of Southern California, Los Angeles, CA, USA
| | - Sara S Nozadi
- Community Environmental Health Program, University of New Mexico Health Sciences Center, Albuquerque, NM, USA
| | - Thomas G O'Connor
- Department of Psychiatry, University of Rochester Medical Center, Rochester, NY, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Grier P Page
- Analytics Program, RTI International, Research Triangle Park, NC, USA
| | - Cathi Propper
- School of Nursing, University of North Carolina, Chapel Hill, NC, USA
| | - Ayesha Sania
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Coral Shuster
- The Brown Center for the Study of Children at Risk, Woman & Infants Hospital of Rhode Island, Providence, RI, USA
| | - Emily Zimmerman
- Department of Communication Sciences and Disorders, Northeastern University, Chicago, IL, USA
| | - Amy E Margolis
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
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Barion GR, Marghetti PG, Cagliari PZ, Mastroeni MF. Docosahexaenoic Acid and Sleep Quality in Very and Extreme Preterm Infants. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:1362. [PMID: 39457335 PMCID: PMC11507004 DOI: 10.3390/ijerph21101362] [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: 08/12/2024] [Revised: 10/04/2024] [Accepted: 10/11/2024] [Indexed: 10/28/2024]
Abstract
The results regarding the association of plasma docosahexaenoic acid (DHA) levels with sleep duration conflict. This study aimed to investigate the effect of oral administration of DHA on the sleep quality of Brazilian extreme preterm infants. This cohort study is part of the Joinville Docosahexaenoic Acid Study (JoiDHA) conducted with 59 infants in Joinville, Brazil. Sleep quality was assessed using the Brief Infant Sleep Questionnaire, which consists of 12 questions about the quality of sleep the week prior to its application and was answered by the parents/guardians. Of the 59 children who participated in the study, 37 (62.7%) were supplemented with DHA and 22 (37.3%) did not receive DHA. The prevalence of poor sleep quality was higher among children with the weight status at birth <50th percentile (68.2%; p = 0.045) when compared to children ≥50th percentile. However, Poisson regression analysis showed that neither weight status at birth nor DHA use was associated with sleep quality, even after adjusting for the same variables. In summary, sleep quality 12-24 months after birth was not associated with DHA supplementation in very and extreme preterm infants. Additional studies that address the increase in DHA intake would be important for the understanding of the effect of this fatty acid on sleep quality.
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Affiliation(s)
- Giovanna Rando Barion
- Postgraduate Program in Health and Environment, University of Joinville Region, Rua Paulo Malschitzki, Joinville 89219-710, SC, Brazil; (G.R.B.); (P.Z.C.)
| | - Pietra Giovanna Marghetti
- Nursing Department, University of Joinville Region, Rua Paulo Malschitzki, Joinville 89219-710, SC, Brazil;
| | - Patricia Zanotelli Cagliari
- Postgraduate Program in Health and Environment, University of Joinville Region, Rua Paulo Malschitzki, Joinville 89219-710, SC, Brazil; (G.R.B.); (P.Z.C.)
- Darcy Vargas Maternity Hospital, Joinville 89202-190, SC, Brazil
- Medicine Department, University of Joinville Region, Rua Paulo Malschitzki, nº 10, Joinville 89219-710, SC, Brazil
| | - Marco Fabio Mastroeni
- Postgraduate Program in Health and Environment, University of Joinville Region, Rua Paulo Malschitzki, Joinville 89219-710, SC, Brazil; (G.R.B.); (P.Z.C.)
- Nursing Department, University of Joinville Region, Rua Paulo Malschitzki, Joinville 89219-710, SC, Brazil;
- Medicine Department, University of Joinville Region, Rua Paulo Malschitzki, nº 10, Joinville 89219-710, SC, Brazil
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Bozdag F, Balci S. The Effects of a Three-Stair Positioning Pillow Used for Preterm Infants on Physiologic Parameters and Sleep-Wakefulness Status: Randomized Controlled Trial. J Perinat Neonatal Nurs 2024:00005237-990000000-00057. [PMID: 39374267 DOI: 10.1097/jpn.0000000000000867] [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] [Indexed: 10/09/2024]
Abstract
BACKGROUND It is important to provide the necessary sleep for the growth of preterm infants in the neonatal intensive care unit. The purpose of this study was to determine the effect of 3-stair positioning pillows (TSPPs) developed for preterm infants with postnatal age 28 to 35 weeks on physiologic parameters and sleep-wakefulness status. METHODS This research was conducted as a randomized controlled experimental study. The CONSORT flowchart was used in the implementation of the randomized controlled trial. The preterm infants in the experimental group were placed in the prone position with TSPPs, whereas the preterm infants in the control group were followed in the routine prone position given in the neonatal intensive care unit. Preterm infants were followed for a total of 3 hours. RESULTS The sample of the study consisted of 60 preterm infants (experiment group = 30; control group = 30) who were hospitalized in the neonatal intensive care unit and met the selection criteria. Compared with the infants in the control group, the preterm infants in the experimental group were determined to have significantly lower heart rates, higher oxygen saturations, lower respiratory rates, longer sleep durations, and shorter wakefulness times (P < .001). CONCLUSION It was found that positioning preterm infants using TSPP had positive effects on physiological parameters (heart rate, oxygen saturation, and respiratory rate) and sleep-wakefulness status in favor of the experimental group. IMPLICATIONS FOR PRACTICE It is recommended to use a TSPP that supports the prone position to improve the physiologic parameters and sleep-wakefulness status of preterm infants in the neonatal intensive care unit. Larger studies need to be conducted utilizing longer follow-up protocols. Examining the effectiveness of TSPPs with different positioning materials in preterm infants is needed.
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Affiliation(s)
- Fatma Bozdag
- Author Affiliations: Department of Child Health and Diseases Nursing, Health Sciences of Faculty, Harran University, Sanlıurfa, Turkey (Dr Bozdag); and Department of Child Health and Diseases Nursing, Florence Nightingale Faculty of Nursing, Istanbul University-Cerrahpasa, İstanbul, Turkey (Dr Balci)
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Gui ZH, Heinrich J, Min Qian Z, Schootman M, Zhao TY, Xu SL, Jin NX, Huang HH, He WT, Wu QZ, Zhang JL, Wang DS, Yang M, Liu RQ, Zeng XW, Dong GH, Lin LZ. Exposures to particulate matters and childhood sleep disorders-A large study in three provinces in China. ENVIRONMENT INTERNATIONAL 2024; 190:108841. [PMID: 38917626 DOI: 10.1016/j.envint.2024.108841] [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: 03/03/2024] [Revised: 06/10/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024]
Abstract
OBJECTIVES Evidence on the link between long-term ambient particulate matter (PM) exposures and childhood sleep disorders were scarce. We examined the associations between long-term exposures to PM2.5 and PM1 (PM with an aerodynamic equivalent diameter <2.5 μm and <1 μm, respectively) with sleep disorders in children. METHODS We performed a population-based cross-sectional survey in 177,263 children aged 6 to 18 years in 14 Chinese cities during 2012-2018. A satellite-based spatiotemporal model was employed to estimate four-year annual average PM2.5 and PM1 exposures at residential and school addresses. Parents or guardians completed a checklist using the Sleep Disturbance Scale for Children. We estimated the associations using generalized linear mixed models with adjustment for characteristics of children, parents, and indoor environments. RESULTS Long-term PM2.5 and PM1 exposures were positively associated with odds of sleep disorders for almost all domains. For example, increments in PM2.5 and PM1 per 10 μg/m3 were associated with odds ratios of global sleep disorder of 1.24 (95 % confidence interval [CI]: 1.14, 1.35) and 1.31 (95 %CI: 1.18, 1.46), respectively. Similar results were observed for subtypes of sleep disorder. These associations were heterogeneous regionally, with stronger associations among children residing in southeast region than in northeast and northwest regions. Moreover, larger estimates of PM1 were found than that of PM2.5 in southeast region. CONCLUSION Long-term PM2.5 and PM1 exposures are independently associated with higher risks of childhood sleep disorders, and these associations vary by geographical region.
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Affiliation(s)
- Zhao-Huan Gui
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany; Allergy and Lung Health Unit, Melbourne School of Population and Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, United States
| | - Mario Schootman
- Department of Internal Medicine, College of Medicine, University of Arkansas for Medical Sciences, 2708 S. 48th Street, Springdale, AR 72762, United States
| | - Tian-Yu Zhao
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany
| | - Shu-Li Xu
- Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China
| | - Nan-Xiang Jin
- A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70210 Kuopio, Finland
| | - He-Hai Huang
- Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China
| | - Wan-Ting He
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qi-Zhen Wu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jing-Lin Zhang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Dao-Sen Wang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Mo Yang
- Department of Environmental and Biological Science, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland
| | - Ru-Qing Liu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Zi Lin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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8
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Sırtbaş-Işık G, Porsnok D, Yardımcı-Lokmanoğlu BN, Mutlu A. Sleep characteristics, early spontaneous movements, and developmental functioning in preterm infants in the early postnatal period. Sleep Med 2024; 114:151-158. [PMID: 38184924 DOI: 10.1016/j.sleep.2023.12.016] [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: 08/09/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 01/09/2024]
Abstract
OBJECTIVE This study aimed to investigate the following: (i) sleep characteristics in preterm infants at 9-20 weeks of corrected age, and (ii) differences in early spontaneous movements and developmental functioning results between the groups based on some sleep characteristics. METHODS Seventy-four preterm infants (36 female) were included. Sleep characteristics were assessed according to the Brief Infant Sleep Questionnaire (BISQ). The infants were divided into two groups based on total sleep duration: less than 12 h (38 infants), and 12 h and more (36 infants). Video recordings were made for the General Movements Assessment (GMA) and evaluated using the Motor Optimality Score for 3- to 5-Month-Old-Infants-Revised (MOS). Cognitive, language, and motor development were assessed using the Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III). RESULTS The total sleep duration of all preterm infants (mean ± SD) was 11.8 ± 3.3 h. Infants who had absent fidgety movements slept less than 12 h, and fidgety movements differed between the groups (p = 0.012). Infants who slept 12 h or more had significantly higher MOS (p = 0.041), cognitive (p = 0.002), language (p < 0.001), and motor (p = 0.002) development results. Infants who snored had lower MOS (p = 0.001), cognitive (p = 0.004), language (p = 0.002), and motor (p = 0.001) development results. Infants with fewer than three nocturnal awakenings had significantly higher Bayley-III cognitive (p = 0.007), language (p = 0.032), and motor (p = 0.005) domain results. Prone and supine sleeping positions showed higher motor domain results than lateral positions (p = 0.001). CONCLUSIONS Sleep in preterm infants might be a key factor in early developmental functioning processes and nervous system integrity. Even in the first months of life, there are substantial differences in cognitive, language, and motor development in association with sleep characteristics.
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Affiliation(s)
- Gülsen Sırtbaş-Işık
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Developmental and Early Physiotherapy Unit, Ankara, Türkiye.
| | - Doğan Porsnok
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Developmental and Early Physiotherapy Unit, Ankara, Türkiye.
| | - Bilge Nur Yardımcı-Lokmanoğlu
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Developmental and Early Physiotherapy Unit, Ankara, Türkiye.
| | - Akmer Mutlu
- Hacettepe University, Faculty of Physical Therapy and Rehabilitation, Developmental and Early Physiotherapy Unit, Ankara, Türkiye.
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9
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Jamaluddine Z, Sharara E, Helou V, El Rashidi N, Safadi G, El-Helou N, Ghattas H, Sato M, Blencowe H, Campbell OMR. Effects of size at birth on health, growth and developmental outcomes in children up to age 18: an umbrella review. Arch Dis Child 2023; 108:956-969. [PMID: 37339859 PMCID: PMC11474254 DOI: 10.1136/archdischild-2022-324884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Accepted: 05/04/2023] [Indexed: 06/22/2023]
Abstract
BACKGROUND Size at birth, an indicator of intrauterine growth, has been studied extensively in relation to subsequent health, growth and developmental outcomes. Our umbrella review synthesises evidence from systematic reviews and meta-analyses on the effects of size at birth on subsequent health, growth and development in children and adolescents up to age 18, and identifies gaps. METHODS We searched five databases from inception to mid-July 2021 to identify eligible systematic reviews and meta-analyses. For each meta-analysis, we extracted data on the exposures and outcomes measured and the strength of the association. FINDINGS We screened 16 641 articles and identified 302 systematic reviews. The literature operationalised size at birth (birth weight and/or gestation) in 12 ways. There were 1041 meta-analyses of associations between size at birth and 67 outcomes. Thirteen outcomes had no meta-analysis.Small size at birth was examined for 50 outcomes and was associated with over half of these (32 of 50); continuous/post-term/large size at birth was examined for 35 outcomes and was consistently associated with 11 of the 35 outcomes. Seventy-three meta-analyses (in 11 reviews) compared risks by size for gestational age (GA), stratified by preterm and term. Prematurity mechanisms were the key aetiologies linked to mortality and cognitive development, while intrauterine growth restriction (IUGR), manifesting as small for GA, was primarily linked to underweight and stunting. INTERPRETATION Future reviews should use methodologically sound comparators to further understand aetiological mechanisms linking IUGR and prematurity to subsequent outcomes. Future research should focus on understudied exposures (large size at birth and size at birth stratified by gestation), gaps in outcomes (specifically those without reviews or meta-analysis and stratified by age group of children) and neglected populations. PROSPERO REGISTRATION NUMBER CRD42021268843.
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Affiliation(s)
- Zeina Jamaluddine
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Eman Sharara
- Center for Research On Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Vanessa Helou
- Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Nadine El Rashidi
- Center for Research On Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Gloria Safadi
- Center for Research On Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Nehmat El-Helou
- Center for Research On Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Hala Ghattas
- Center for Research On Population and Health, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
- Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA
| | - Miho Sato
- School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan
| | - Hannah Blencowe
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Oona M R Campbell
- Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
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10
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Silveira KSRD, Serra-Negra JM, Prado IM, Abreu LG, Reis TVD, Auad SM. Sleep disturbances are associated with feeding practices and age in preterm infants. Sleep Med 2023; 111:2-8. [PMID: 37696121 DOI: 10.1016/j.sleep.2023.08.030] [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: 06/15/2023] [Revised: 08/26/2023] [Accepted: 08/29/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND Preterm infants are under risk of several shortcomings including sleep disturbances (SD). This cross-sectional study evaluated factors associated with SD in preterm and low birth weight infants in a reference center for preterm children at a University Hospital, southeastern Brazil. METHODS A hundred-four dyads of mothers-infants 0-3 years participated. Mothers answered an online questionnaire (Google Forms®) evaluating childbirth characteristics, gestational age, breastfeeding, bottle feeding, non-nutritive sucking habits and sociodemographic information. The Brazilian version of the Brief Infant Sleep Questionnaire (BISQ) evaluated SD. Bivariate and Logistic Regression analyses were performed (p < 0.05). RESULTS SD was present in 45.2% of the sample. Multivariate Logistic Regression Model showed that infants breastfed ≥3 times at night had 5.006 more chances to have SD (CI 95% = 1.229-20.400) compared to those who did not breastfeed at night. Infants who were bottle-fed 3 ≥ times at night had 6.952 more chances to have SD (CI = 95% = 1.364-35.427) compared to those who were bottle fed less frequently. The chance of SD decreased 6.6% (CI 95% = 0.889-0.982) for each increase of a month in infant's age, and infants from families with higher income had 3.535 more chances to have SD (CI 95% = 1.006-12.416). CONCLUSION The younger the child, a higher frequency of night feeding and belonging to higher income families were associated with SD. Recognizing the associated factors with SD in newborns and infants can aid families to better deal with this issue, promote better sleep quality and individualized counseling.
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Affiliation(s)
| | - Junia Maria Serra-Negra
- Department of Pediatric Dentistry - School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Ivana Meyer Prado
- Department of Pediatric Dentistry - School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Lucas Guimarães Abreu
- Department of Pediatric Dentistry - School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Thaliny Vitória Diniz Reis
- Department of Pediatric Dentistry - School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Sheyla Marcia Auad
- Department of Pediatric Dentistry - School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
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11
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Yan C, Yang Q, Li R, Yang A, Fu Y, Wang J, Li Y, Cheng Q, Hu S. A systematic review of prediction models for spontaneous preterm birth in singleton asymptomatic pregnant women with risk factors. Heliyon 2023; 9:e20099. [PMID: 37809403 PMCID: PMC10559850 DOI: 10.1016/j.heliyon.2023.e20099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 10/10/2023] Open
Abstract
Backgrounds Spontaneous preterm birth (SPB) is a global problem. Early screening, identification, and prevention in asymptomatic pregnant women with risk factors for preterm birth can help reduce the incidence and mortality of preterm births. Therefore, this study systematically reviewed prediction models for spontaneous preterm birth, summarised the model characteristics, and appraised their quality to identify the best-performing prediction model for clinical decision-making. Methods PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disc, VIP Database, and Wanfang Data were searched up to September 27, 2021. Prediction models for spontaneous preterm births in singleton asymptomatic pregnant women with risk factors were eligible for inclusion. Six independent reviewers selected the eligible studies and extracted data from the prediction models. The findings were summarised using descriptive statistics and visual plots. Results Twelve studies with twelve developmental models were included. Discriminative performance was reported in 11 studies, with an Area Under the Curve (AUC) ranging from 0.75 to 0.95. The AUCs of the seven models were greater than 0.85. Cervical length (CL) is the most commonly used predictor of spontaneous preterm birth. A total of 91.7% of the studies had a high risk of bias in the analysis domain, mainly because of the small sample size and lack of adjustment for overfitting. Conclusion The accuracy of the models for spontaneous preterm births in singleton asymptomatic women with risk factors was good. However, these models are not widely used in clinical practice because they lack replicability and transparency. Future studies should transparently report methodological details and consider more meaningful predictors with new progress in research on preterm birth.
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Affiliation(s)
- Chunmei Yan
- Department of Gynaecology and Obstetrics, Hospital of Lanzhou Jiaotong University, Lanzhou, China
| | - Qiuyu Yang
- Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Richeng Li
- Department of Gynaecology and Obstetrics, Hospital of Lanzhou Jiaotong University, Lanzhou, China
| | - Aijun Yang
- Department of Gynaecology and Obstetrics, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, China
| | - Yu Fu
- Department of Prenatal Diagnosis Center, Gansu Provincial Maternity and Child-Care Hospital, Lanzhou, China
| | - Jieneng Wang
- Department of Cardiovascular Surgery, First Hospital of Lanzhou University, Lanzhou, China
| | - Ying Li
- Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Qianji Cheng
- Department of Social Medicine and Health Management, School of Public Health, Lanzhou University, Lanzhou, China
- Evidence Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China
| | - Shasha Hu
- Department of Obstetrics and Gynecology, First Hospital of Lanzhou University, Lanzhou, China
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12
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Romeo DM, Arpaia C, Lala MR, Cordaro G, Gallini F, Vento G, Mercuri E, Chiaretti A. Sleep Disorders in Low-Risk Preterm Infants and Toddlers. J Pers Med 2023; 13:1091. [PMID: 37511704 PMCID: PMC10381444 DOI: 10.3390/jpm13071091] [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: 05/10/2023] [Revised: 06/22/2023] [Accepted: 06/28/2023] [Indexed: 07/30/2023] Open
Abstract
Sleep disorders are particularly important in the development of children, affecting the emotional, behavioural, and cognitive spheres. The incidence of these disorders has been assessed in different types of populations, including patients with a history of premature birth, who, from the literature data, would seem to have an increased incidence of sleep disorders at school age. The aims of the present study are: (i.) to assess the presence of sleep disorders in a population of very preterm infants at 6-36 months who are at low risk of neurological impairments using the Italian version of the Sleep Disturbance Scale for Children (SDSC) adapted for this age group, and (ii.) to identify possible differences from a control group of term-born infants. A total of 217 low-risk preterm and 129 typically developing infants and toddlers were included in the study. We found no differences in the SDSC total and the factor scores between these two populations of infants. Low-risk preterm infants and toddlers showed similar incidences of sleep disorders to their term-born peers. Further clinical assessments will be needed to confirm these data at school age.
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Affiliation(s)
- Domenico M Romeo
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.argo A. Gemelli, 00168 Rome, Italy
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Chiara Arpaia
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.argo A. Gemelli, 00168 Rome, Italy
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Maria Rosaria Lala
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.argo A. Gemelli, 00168 Rome, Italy
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Giorgia Cordaro
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.argo A. Gemelli, 00168 Rome, Italy
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Francesca Gallini
- Neonatal Intensive Care Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
- Neonatal Intensive Care Unit, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Giovanni Vento
- Neonatal Intensive Care Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.go A. Gemelli 8, 00168 Rome, Italy
- Neonatal Intensive Care Unit, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Eugenio Mercuri
- Pediatric Neurology Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, L.argo A. Gemelli, 00168 Rome, Italy
- Pediatric Neurology Unit, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Antonio Chiaretti
- Department of Pediatrics, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Department of Pediatrics, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Largo A. Gemelli, 00168 Rome, Italy
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13
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Beunders VAA, Koopman-Verhoeff ME, Vermeulen MJ, Jansen PW, Luik AI, Derks IPM, Reiss IKM, Joosten KFM, Jaddoe VWV. Sleep, 24-hour activity rhythms, and cardiometabolic risk factors in school-age children. J Clin Sleep Med 2023; 19:1219-1229. [PMID: 36866620 PMCID: PMC10315610 DOI: 10.5664/jcsm.10544] [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: 12/02/2022] [Revised: 02/23/2023] [Accepted: 02/24/2023] [Indexed: 03/04/2023]
Abstract
STUDY OBJECTIVES Disturbed sleep and 24-hour activity rhythms are linked to adverse cardiometabolic profiles in adults and adolescents, and these associations may originate in early life. We aimed to study associations of sleep and 24-hour rhythms with cardiometabolic risk factors in school-age children. METHODS This cross-sectional population-based study comprised 894 children aged 8-11 years from the Generation R Study. Sleep (duration, efficiency, number of awakenings, and time awake after sleep onset) and 24-hour activity rhythms (social jet lag, interdaily stability, and intradaily variability) were assessed using triaxial wrist actigraphy for 9 consecutive nights. Cardiometabolic risk factors included adiposity (body mass index Z-score, fat mass index using dual-energy X-ray absorptiometry, and visceral fat mass and liver fat fraction using magnetic resonance imaging), blood pressure, and blood markers (glucose, insulin, and lipids). We adjusted for season, age, sociodemographics, and lifestyle factors. RESULTS Each increase in interquartile range of nightly awakenings (2 times) was associated with -0.12 standard deviation (95% confidence interval: -0.21, -0.04) lower body mass index and 0.15 mmol/L (0.10, 0.21) higher glucose. Among boys, an increase in interquartile range of intradaily variability (0.12) was associated with higher fat mass index (+0.07 kg/m2; 95% confidence interval: 0.03, 0.11) and visceral FM (+0.08 g; 95% confidence interval: 0.02, 0.15). We observed no associations with blood pressure or clustering of cardiometabolic risk factors. CONCLUSIONS Already at school age, greater fragmentation of the 24-hour activity rhythm is associated with general and organ adiposity. In contrast, more nightly awakenings were associated with lower body mass index. Future research should bring clarity to these disparate observations in order to create potential targets for obesity prevention programs. CITATION Beunders VAA, Koopman-Verhoeff ME, Vermeulen MJ, et al. Sleep, 24-hour activity rhythms, and cardiometabolic risk factors in school-age children. J Clin Sleep Med. 2023;19(7):1219-1229.
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Affiliation(s)
- Victoria A. A. Beunders
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M. Elisabeth Koopman-Verhoeff
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marijn J. Vermeulen
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Pauline W. Jansen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Annemarie I. Luik
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ivonne P. M. Derks
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Irwin K. M. Reiss
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Koen F. M. Joosten
- Department of Pediatrics, Intensive Care Unit, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W. V. Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Pediatrics, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
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14
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Ashorn P, Ashorn U, Muthiani Y, Aboubaker S, Askari S, Bahl R, Black RE, Dalmiya N, Duggan CP, Hofmeyr GJ, Kennedy SH, Klein N, Lawn JE, Shiffman J, Simon J, Temmerman M. Small vulnerable newborns-big potential for impact. Lancet 2023; 401:1692-1706. [PMID: 37167991 DOI: 10.1016/s0140-6736(23)00354-9] [Citation(s) in RCA: 95] [Impact Index Per Article: 47.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 01/27/2023] [Accepted: 02/14/2023] [Indexed: 05/13/2023]
Abstract
Despite major achievements in child survival, the burden of neonatal mortality has remained high and even increased in some countries since 1990. Currently, most neonatal deaths are attributable to being born preterm, small for gestational age (SGA), or with low birthweight (LBW). Besides neonatal mortality, these conditions are associated with stillbirth and multiple morbidities, with short-term and long-term adverse consequences for the newborn, their families, and society, resulting in a major loss of human capital. Prevention of preterm birth, SGA, and LBW is thus critical for global child health and broader societal development. Progress has, however, been slow, largely because of the global community's failure to agree on the definition and magnitude of newborn vulnerability and best ways to address it, to frame the problem attractively, and to build a broad coalition of actors and a suitable governance structure to implement a change. We propose a new definition and a conceptual framework, bringing preterm birth, SGA, and LBW together under a broader umbrella term of the small vulnerable newborn (SVN). Adoption of the framework and the unified definition can facilitate improved problem definition and improved programming for SVN prevention. Interventions aiming at SVN prevention would result in a healthier start for live-born infants, while also reducing the number of stillbirths, improving maternal health, and contributing to a positive economic and social development in the society.
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Affiliation(s)
- Per Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Department of Paediatrics, Tampere University Hospital, Tampere, Finland.
| | - Ulla Ashorn
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Yvonne Muthiani
- Center for Child, Adolescent and Maternal Health Research, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | | | - Rajiv Bahl
- Indian Council for Medical Research, New Delhi, India
| | - Robert E Black
- Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Nita Dalmiya
- United Nations Children's Fund, New York, NY, USA
| | - Christopher P Duggan
- Center for Nutrition, Division of Gastroenterology, Hepatology and Nutrition, Boston Children's Hospital, Boston, MA, USA
| | - G Justus Hofmeyr
- Department of Obstetrics and Gynaecology, University of Botswana, Gaborone, Botswana; Effective Care Research Unit, University of the Witwatersrand, Johannesburg, South Africa; Department of Obstetrics and Gynaecology, Walter Sisulu University, East London, South Africa
| | - Stephen H Kennedy
- Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, UK
| | - Nigel Klein
- UCL Great Ormond Street Institute of Child Health, University College London, London, UK
| | - Joy E Lawn
- Maternal, Adolescent, Reproductive & Child Health Centre, London School of Hygiene & Tropical Medicine, London, UK
| | - Jeremy Shiffman
- Paul H Nitze School of Advanced International Studies, Johns Hopkins University, Baltimore, MD, USA
| | | | - Marleen Temmerman
- Centre of Excellence in Women and Child Health, Aga Khan University, Nairobi, Kenya
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15
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Bijlsma A, Beunders VA, Dorrepaal DJ, Joosten KF, van Beijsterveldt IA, Dudink J, Reiss IK, Hokken-Koelega AC, Vermeulen MJ. Sleep and 24-hour rhythm characteristics in preschool children born very preterm and full term. J Clin Sleep Med 2023; 19:685-693. [PMID: 36661086 PMCID: PMC10071387 DOI: 10.5664/jcsm.10408] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 11/16/2022] [Accepted: 11/18/2022] [Indexed: 01/21/2023]
Abstract
STUDY OBJECTIVES Sleep impacts the quality of life and is associated with cardiometabolic and neurocognitive outcomes. Little is known about the sleep of preterm-born children at preschool age. We, therefore, studied sleep and 24-hour rhythms of preschool children born very preterm compared with full-term children. METHODS This was a prospective cohort study comparing sleep quality and quantity of children born very preterm (gestational age [GA] < 30 weeks) with full-term children at the (corrected) age of 3 years, using (1) 2 parent-reported questionnaires (Brief Infant Sleep Questionnaire and The Munich Chronotype Questionnaire) and (2) at least 3 days of triaxial wrist actigraphy combined with sleep diary. We performed regression analyses with adjustment for sex (corrected), age, and birth weight standard deviation (SD) score. RESULTS Ninety-seven very-preterm-born (median GA 27+5; interquartile range 26 + 3;29 + 0 weeks) and 92 full-term children (GA 39 + 3; 38 + 4;40 + 4 weeks) were included. Sleep problems and other reported sleep parameters were not different between groups. As measured with actigraphy, sleep and 24-hour rhythm were similar between groups, except for very-preterm born children waking up 21 minutes (4;38) minutes later than full-term children (adjusted P = .001). CONCLUSIONS Based on parent reports and actigraphy, very-preterm-born children sleep quite similar to full-term controls at the corrected age of 3 years. Reported sleep problems were not different between groups. Actigraphy data suggest that preterm-born children may wake up later than children born full term. Further studies are needed to explore how sleep relates to cardiometabolic and neurodevelopmental outcomes after preterm birth and whether early interventions are useful to optimize 24-hour rhythm and sleep. CITATION Bijlsma A, Beunders VAA, Dorrepaal DJ, et al. Sleep and 24-hour rhythm characteristics in preschool children born very preterm and full term. J Clin Sleep Med. 2023;19(4):685-693.
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Affiliation(s)
- Alja Bijlsma
- Division of Neonatology, Department of Pediatrics, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Victoria A.A. Beunders
- Division of Neonatology, Department of Pediatrics, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Demi J. Dorrepaal
- Subdivision of Endocrinology, Department of Pediatrics, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Koen F.M. Joosten
- Department of Pediatrics, Intensive Care Unit, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Inge A.L.P. van Beijsterveldt
- Subdivision of Endocrinology, Department of Pediatrics, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Jeroen Dudink
- Department of Neonatology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands
- Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Irwin K.M. Reiss
- Division of Neonatology, Department of Pediatrics, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Anita C.S. Hokken-Koelega
- Subdivision of Endocrinology, Department of Pediatrics, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marijn J. Vermeulen
- Division of Neonatology, Department of Pediatrics, Erasmus MC Sophia Children’s Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
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16
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Yisahak SF, Boone KM, Rausch J, Keim SA. The timing and quality of sleep was associated with dietary quality and anthropometry in toddlers born preterm. Acta Paediatr 2023. [PMID: 36905082 DOI: 10.1111/apa.16750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/12/2023]
Abstract
AIM The aim of the study was to examine prospective associations of sleep characteristics (duration, timing, quality) with dietary and anthropometric measures among toddlers born preterm (<35 weeks). METHODS Children participated in the Omega Tots trial at 10-17 months' corrected age (Ohio, USA; 26 April 2012 to 6 April 2017). Caregivers reported toddlers' sleep at baseline using the Brief Infant Sleep Questionnaire. After 180 days, caregivers reported toddlers' past month diet in a food frequency questionnaire, and anthropometry was measured using standardised protocols. The toddler diet quality index (TDQI: higher scores indicating better quality), and weight-for-length, triceps skinfold and subscapular skinfold z-scores were calculated. Linear and logistic regression assessed adjusted associations with dietary and anthropometric outcomes at 180-day follow-up (n = 284), and linear mixed models assessed changes in anthropometry. RESULTS Daytime sleep was associated with lower TDQI (βadj per hour = -1.62 (95% CI: -2.71, -0.52)) whereas night-time sleep was associated with higher TDQI (βadj = 1.01 (95% CI: 0.16, 1.85)). Night-time awakenings and caregiver-reported sleep problems were also associated with lower TDQI. Night awakening duration and sleep-onset latency were associated with higher triceps skinfold z-score. CONCLUSION Daytime and night-time caregiver-reported sleep showed opposite associations with diet quality, suggesting that sleep timing may be important.
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Affiliation(s)
- Samrawit F Yisahak
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Kelly M Boone
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Joseph Rausch
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA
| | - Sarah A Keim
- Center for Biobehavioral Health, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio, USA
- Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, Ohio, USA
- Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, Ohio, USA
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17
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Sırtbaş-Işık G, Yardımcı-Lokmanoğlu BN, Livanelioğlu A, Mutlu A. Sensory processing and sleep characteristics in preterm infants in the early period of life. Sleep Med 2023; 106:78-83. [PMID: 37054558 DOI: 10.1016/j.sleep.2023.03.025] [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] [Received: 02/02/2023] [Revised: 03/09/2023] [Accepted: 03/23/2023] [Indexed: 03/30/2023]
Abstract
OBJECTIVE The present study aimed to investigate the following: (i) differences in sensory processing and sleep characteristics between preterm infants born at < 32 weeks', vs. those born at ≥ 32 weeks' gestation; (ii) differences in sleep characteristics between preterm infants with typical vs. atypical sensory processing; and (iii) relationship between sensory processing and sleep characteristics in preterm infants at 3 months of age. METHODS A total of 189 preterm infants, 54 born at < 32 weeks' gestation (26 females; mean gestational age [standard deviation (SD)], 30.1 [1.7] weeks), and 135 born at ≥ 32 weeks' gestation (78 females; mean gestational age [SD], 34.9 [0.9] weeks) were included in the present study. Sleep characteristics were evaluated using the Brief Infant Sleep Questionnaire, and sensory processing was assessed using the Infant Sensory Profile-2. RESULTS There were no significant differences in sensory processing (P > 0.05) or sleep characteristics (P > 0.05) between the preterm groups; however, more infants snored in the <32 weeks' gestation group (P = 0.035). Preterm infants with atypical sensory processing showed lower nighttime (P = 0.027) and total sleep durations (P = 0.032), and higher rates of nocturnal wakefulness (P = 0.038) and snoring (P = 0.001) than preterm infants with typical sensory processing. A significant relationship, therefore, was observed between sensory processing and sleep characteristics (P < 0.05). CONCLUSIONS Sensory processing patterns may play an important role in understanding sleep problems in preterm infants. The early detection of sleep problems and sensory processing difficulties are necessary for early intervention.
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18
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Beunders VAA, Koopman-Verhoeff ME, Vermeulen MJ, Silva CCV, Jansen PW, Luik AI, Reiss IKM, Joosten KFM, Jaddoe VWV. Fetal and infant growth patterns, sleep, and 24-h activity rhythms: a population-based prospective cohort study in school-age children. J Sleep Res 2023:e13822. [PMID: 36707974 DOI: 10.1111/jsr.13822] [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: 08/05/2022] [Revised: 12/01/2022] [Accepted: 12/20/2022] [Indexed: 01/29/2023]
Abstract
The study objective was to explore associations of fetal and infant weight patterns and preterm birth with sleep and 24-h activity rhythm parameters at school-age. In our prospective population-based study, 1327 children were followed from birth to age 10-15 years. Fetal weight was estimated using ultrasound in the second and third trimester of pregnancy. Birth weight and gestational age were available from midwife registries. Infant weight was measured at 6, 12 and 24 months. Fetal and infant weight acceleration or deceleration were defined as a change of >0.67 standard deviation between the corresponding age intervals. At school-age, sleep duration, sleep efficiency, wake after sleep onset, social jetlag, inter-daily stability, and intra-daily variability were assessed using tri-axial wrist actigraphy for 9 consecutive nights. We observed that low birth weight (<2500 g) was associated with 0.24 standard deviation (95% confidence interval [CI] 0.04; 0.43) longer sleep duration compared to normal weight. Compared to normal growth, growth deceleration in fetal life and infancy was associated with 0.40 standard deviation (95% CI 0.07; 0.73) longer sleep duration, 0.44 standard deviation (95% CI 0.14; 0.73) higher sleep efficiency, and -0.41 standard deviation (95% CI -0.76; -0.07) shorter wake after sleep onset. A pattern of normal fetal growth followed by infant growth acceleration was associated with -0.40 standard deviation (95% CI -0.61; -0.19) lower inter-daily stability. Preterm birth was not associated with any sleep or 24-h rhythm parameters. Our findings showed that children with fetal and infant growth restriction had longer and more efficient sleep at school-age, which may be indicative of an increased need for sleep for maturational processes and development after a difficult start in life.
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Affiliation(s)
- Victoria A A Beunders
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands.,The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - M Elisabeth Koopman-Verhoeff
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Institute of Education and Child Studies, Leiden University, Leiden, The Netherlands.,Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Marijn J Vermeulen
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Carolina C V Silva
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Pauline W Jansen
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
| | - Annemarie I Luik
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Irwin K M Reiss
- Department of Pediatrics, Division of Neonatology, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Koen F M Joosten
- Department of Pediatrics, Intensive Care Unit, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.,Department of Pediatrics, Erasmus MC Sophia Children's Hospital, University Medical Center Rotterdam, Rotterdam, The Netherlands
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19
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Yang Q, Fan X, Cao X, Hao W, Lu J, Wei J, Tian J, Yin M, Ge L. Reporting and risk of bias of prediction models based on machine learning methods in preterm birth: A systematic review. Acta Obstet Gynecol Scand 2022; 102:7-14. [PMID: 36397723 PMCID: PMC9780725 DOI: 10.1111/aogs.14475] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 09/27/2022] [Accepted: 10/04/2022] [Indexed: 11/19/2022]
Abstract
INTRODUCTION There was limited evidence on the quality of reporting and methodological quality of prediction models using machine learning methods in preterm birth. This systematic review aimed to assess the reporting quality and risk of bias of a machine learning-based prediction model in preterm birth. MATERIAL AND METHODS We conducted a systematic review, searching the PubMed, Embase, the Cochrane Library, China National Knowledge Infrastructure, China Biology Medicine disk, VIP Database, and WanFang Data from inception to September 27, 2021. Studies that developed (validated) a prediction model using machine learning methods in preterm birth were included. We used the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement and Prediction model Risk of Bias Assessment Tool (PROBAST) to evaluate the reporting quality and the risk of bias of included studies, respectively. Findings were summarized using descriptive statistics and visual plots. The protocol was registered in PROSPERO (no. CRD 42022301623). RESULTS Twenty-nine studies met the inclusion criteria, with 24 development-only studies and 5 development-with-validation studies. Overall, TRIPOD adherence per study ranged from 17% to 79%, with a median adherence of 49%. The reporting of title, abstract, blinding of predictors, sample size justification, explanation of model, and model performance were mostly poor, with TRIPOD adherence ranging from 4% to 17%. For all included studies, 79% had a high overall risk of bias, and 21% had an unclear overall risk of bias. The analysis domain was most commonly rated as high risk of bias in included studies, mainly as a result of small effective sample size, selection of predictors based on univariable analysis, and lack of calibration evaluation. CONCLUSIONS Reporting and methodological quality of machine learning-based prediction models in preterm birth were poor. It is urgent to improve the design, conduct, and reporting of such studies to boost the application of machine learning-based prediction models in preterm birth in clinical practice.
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Affiliation(s)
- Qiuyu Yang
- Evidence‐Based Nursing Center, School of NursingLanzhou UniversityLanzhouChina
| | - Xia Fan
- Department of Obstetrics and Gynecology, The Second School of Clinical MedicineShanxi University of Chinese MedicineShanxiChina
| | - Xiao Cao
- Evidence‐Based Nursing Center, School of NursingLanzhou UniversityLanzhouChina
| | - Weijie Hao
- Evidence‐Based Social Science Research Center, School of Public HealthLanzhou UniversityLanzhouChina
| | - Jiale Lu
- Evidence‐Based Social Science Research Center, School of Public HealthLanzhou UniversityLanzhouChina
| | - Jia Wei
- Evidence‐Based Social Science Research Center, School of Public HealthLanzhou UniversityLanzhouChina
| | - Jinhui Tian
- Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu ProvinceLanzhouChina,Evidence‐Based Medicine Center, School of Basic Medicine ScienceLanzhou UniversityLanzhouChina
| | - Min Yin
- Health Examination CenterThe First Hospital of Lanzhou UniversityLanzhouChina
| | - Long Ge
- Evidence‐Based Social Science Research Center, School of Public HealthLanzhou UniversityLanzhouChina,Department of Social Medicine and Health Management, and Evidence Based Social Science Research Center, School of Public HealthLanzhou UniversityLanzhouChina
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20
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Cai YM, Zheng XL, Shen ZM, Zhou BF, Liu YM, Yang JY, Xie N. Study on the sleep quality of women pregnant with a second child and the influencing factors. Eur J Med Res 2022; 27:207. [PMID: 36253870 PMCID: PMC9578186 DOI: 10.1186/s40001-022-00848-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 10/03/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES To investigate the sleep quality of women pregnant with a second child and the influencing factors and provide a scientific basis for health care guidance to clinically improve the sleep quality of pregnant women. METHODS A total of 162 women pregnant with a second child at a first-class tertiary hospital in Changsha from January to August 2018 were selected as the research subjects. General demographic characteristics were collected, and the Pittsburgh Sleep Quality Index (PSQI) scale was used to assess their sleep quality. Multivariate logistic regression analysis was used to explore the influencing factors of the sleep quality of women pregnant with a second child. RESULTS The PSQI score (except hypnotic drugs) and total score of pregnant women with second birth were higher than those of normal female population, and the difference was statistically significant (P < 0.05). Univariate analysis showed statistically significant differences in sleep quality among women pregnant with a second child of different ages, marital relationships, gender expectations, education levels, monthly family incomes, planned or unplanned pregnancy, and gestational weeks (P < 0.05). The results of the multi-factor analysis showed that the low education level (OR = 0.224, P = 0.001), low family monthly income (OR = 3.035, P = 0.014), expectation of gender (OR = 0.065, P = 0.038), and dissatisfaction with marital relationship (OR = 0.275, P = 0.001) were the primary risk factors of poor sleep quality of in women with second pregnant. CONCLUSIONS The overall sleep quality of women pregnant with a second child is poor, and 37.65% have sleep quality problems. Low education levels, low family monthly incomes, fetal gender expectations, and poor relationship between husband and wife are the main factors affecting the sleep quality of women pregnant with a second child. Pregnant women with the above factors should pay attention to their sleep quality and take necessary measures for intervention and guidance to improve the level of health care during pregnancy.
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Affiliation(s)
- Yi-Min Cai
- Department of Nursing, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China
| | - Xia-Li Zheng
- Department of Pediatrics, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China
| | - Zhou-Min Shen
- Department of Nursing, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China.
| | - Bi-Fang Zhou
- Department of Interventional Vascular Surgery, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China
| | - Yu-Ming Liu
- Department of Pediatrics, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China
| | - Jia-Yu Yang
- Department of Pediatrics, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, 410005, China
| | - Nian Xie
- Department of Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, 410011, China
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21
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Lyu J, Groeger JA, Barnett AL, Li H, Wang L, Zhang J, Du W, Hua J. Associations between gestational age and childhood sleep: a national retrospective cohort study. BMC Med 2022; 20:253. [PMID: 35934710 PMCID: PMC9358861 DOI: 10.1186/s12916-022-02443-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 06/16/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Both sleep quality and quantity are essential for normal brain development throughout childhood; however, the association between preterm birth and sleep problems in preschoolers is not yet clear, and the effects of gestational age across the full range from preterm to post-term have not been examined. Our study investigated the sleep outcomes of children born at very-preterm (<31 weeks), moderate-preterm (32-33 weeks), late-preterm (34-36 weeks), early-term (37-38 weeks), full-term (39-40 weeks), late-term (41 weeks) and post-term (>41 weeks). METHODS A national retrospective cohort study was conducted with 114,311 children aged 3-5 years old in China. Children's daily sleep hours and pediatric sleep disorders defined by the Children's Sleep Habits Questionnaire (CSHQ) were reported by parents. Linear regressions and logistic regression models were applied to examine gestational age at birth with the sleep outcomes of children. RESULTS Compared with full-term children, a significantly higher CSHQ score, and hence worse sleep, was observed in very-preterm (β = 1.827), moderate-preterm (β = 1.409), late-preterm (β = 0.832), early-term (β = 0.233) and post-term (β = 0.831) children, all p<0.001. The association of pediatric sleep disorder (i.e. CSHQ scores>41) was also seen in very-preterm (adjusted odds ratio [AOR] = 1.287 95% confidence interval [CI] (1.157, 1.433)), moderate-preterm (AOR = 1.249 95% CI (1.110, 1.405)), late-preterm (AOR = 1.111 95% CI (1.052, 1.174)) and post-term (AOR = 1.139 95% CI (1.061, 1.222)), all p<0.001. Shorter sleep duration was also found in very-preterm (β = -0.303), moderate-preterm (β = -0.282), late-preterm (β = -0.201), early-term (β = -0.068) and post-term (β = -0.110) compared with full-term children, all p<0.01. Preterm and post-term-born children had different sleep profiles as suggested by subscales of the CSHQ. CONCLUSIONS Every degree of premature, early-term and post-term birth, compared to full-term, has an association with sleep disorders and shortened daily sleep duration. Preterm, early-term, and post-term should therefore all be monitored with an increased threat of sleep disorder that requires long-term monitoring for adverse sleep outcomes in preschoolers.
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Affiliation(s)
- Jiajun Lyu
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699 Gaoke Road, Shanghai, China
| | - John A Groeger
- NTU Psychology, Nottingham Trent University, Burton Street, Nottingham, NG1 4BU, UK
| | - Anna L Barnett
- Centre for Psychological Research, Oxford Brookes University, Oxford, UK
| | - Haifeng Li
- Department of Rehabilitation, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Zhejiang, China
| | - Lei Wang
- Maternal and Child Health Care Hospital of Yangzhou, Affiliated Hospital of Medical College Yangzhou University, Jiangsu, China
| | - Jiajia Zhang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699 Gaoke Road, Shanghai, China
| | - Wenchong Du
- NTU Psychology, Nottingham Trent University, Burton Street, Nottingham, NG1 4BU, UK.
| | - Jing Hua
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699 Gaoke Road, Shanghai, China.
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22
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Trickett J, Hill C, Austin T, Johnson S. The Impact of Preterm Birth on Sleep through Infancy, Childhood and Adolescence and Its Implications. CHILDREN 2022; 9:children9050626. [PMID: 35626803 PMCID: PMC9139673 DOI: 10.3390/children9050626] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/12/2022] [Accepted: 04/19/2022] [Indexed: 11/16/2022]
Abstract
There is emergent literature on the relationship between the development of sleep-wake cycles, sleep architecture, and sleep duration during the neonatal period on neurodevelopmental outcomes among children born preterm. There is also a growing literature on techniques to assess sleep staging in preterm neonates using either EEG methods or heart and respiration rate. Upon discharge from hospital, sleep in children born preterm has been assessed using parent report, actigraphy, and polysomnography. This review describes the ontogeny and measurement of sleep in the neonatal period, the current evidence on the impact of preterm birth on sleep both in the NICU and in childhood and adolescence, and the interaction between sleep, cognition, and social-emotional outcomes in this population.
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Affiliation(s)
- Jayne Trickett
- Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester LE1 7RH, UK
- Correspondence:
| | - Catherine Hill
- School of Clinical Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK;
- Department of Sleep Medicine, Southampton Children’s Hospital, Southampton SO17 1BJ, UK
| | - Topun Austin
- Neonatal Intensive Care Unit, Rosie Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK;
| | - Samantha Johnson
- Department of Health Sciences, University of Leicester, Leicester LE1 7RH, UK;
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23
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Hash JB, Alfano CA, Owens J, Littlewood K, Day A, Pandey A, Ordway MR, Ward TM. Call to action: Prioritizing sleep health among US children and youth residing in alternative care settings. Sleep Health 2022; 8:23-27. [PMID: 34975013 PMCID: PMC10504063 DOI: 10.1016/j.sleh.2021.10.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 09/14/2021] [Accepted: 10/01/2021] [Indexed: 11/22/2022]
Abstract
Sleep health is a critical but under-recognized area of concern for the more than 650,000 children served by the US child welfare system each year. While sleep is vital to optimal child health and development, it is likely harmed by the multiple adversities and traumas experienced among children and youth residing in alternative care settings (ie, kinship care, nonrelative foster care, group homes). Children residing in alternative care settings have experienced, at a minimum, the trauma of removal from a biological parent's care and would benefit from holistic, comprehensive care approaches inclusive of sleep health. Furthermore, few studies are currently available to guide practitioners and policymakers in promoting sleep health among these children. In this Call to Action, our goal is to draw attention to the sleep health of children residing in alternative care settings. We highlight the need for a more robust evidence base to address major knowledge gaps and outline concrete steps toward building future promising sleep health-promoting practices and policies supporting children residing in alternative care settings.
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Affiliation(s)
- Jonika B Hash
- University of Washington, School of Nursing, Department of Child, Family, and Population Health Nursing, Seattle, Washington, USA.
| | - Candice A Alfano
- University of Houston, Department of Psychology, Houston, Texas, USA
| | - Judith Owens
- Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kerry Littlewood
- University of South Florida, School of Social Work, Tampa, Florida, USA
| | - Angelique Day
- University of Washington, School of Social Work, Seattle, Washington, USA
| | - Abhishek Pandey
- Southern Arizona Veteran Health Care System; University of South Florida, College of Behavioral and Community Sciences, Tampa, Florida, USA
| | - Monica R Ordway
- Yale University, School of Nursing, West Haven, Connecticut, USA
| | - Teresa M Ward
- Center for Innovation in Sleep Self-Management, University of Washington, School of Nursing, Department of Child, Family, and Population Health Nursing, Seattle, Washington, USA
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24
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Wang R, Chen J, Tao L, Qiang Y, Yang Q, Li B. Prevalence of Sleep Problems and Its Association With Preterm Birth Among Kindergarten Children in a Rural Area of Shanghai, China. Front Pediatr 2022; 10:863241. [PMID: 35547534 PMCID: PMC9082307 DOI: 10.3389/fped.2022.863241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 03/16/2022] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION Healthy sleep in children is critical for their physical and mental health. Although growing evidence indicates the linkage between preterm birth and neural network that regulates sleep architecture, findings on the association between preterm birth and sleep problems among children are still contradictory. In this study, we aimed to understand the prevalence of sleep problems in children aged 3-6 years and to explore the association between sleep problems and preterm birth among children in Shanghai, China. METHODS We selected 8,586 kindergarten children aged 3-6 years and their mothers in a rural area of Shanghai. Data were collected by questionnaire interview among mothers with informed consent that was signed ahead. Six types of sleep problems (i.e., insufficient sleep, sleepwalk, nightmare, snore, grind teeth, and cry in sleep) were selected in this study. SAS 9.4 was used for data analysis, and p < 0.05 was considered statistically significant. RESULTS In this study, the prevalence of preterm birth was 9.88% (848/8,586), with a higher prevalence in boys (10.62%) than girls (9.01%). The prevalence of sleep problems was 89.81% among kindergarten children, with 62.50% for snore, 50.35% for grind teeth, 49.20% for cry in sleep, 41.18% for nightmare, 11.67% for insufficient sleep, and 4.44% for sleepwalk. The age of children, family income, and mother's education were associated with the prevalence of sleep problems in children. Logistic regression indicated that sleep problems in preterm children were comparable with the full-term children [odds ratio = 1.13, 95% confidence interval (0.89-1.45)]. CONCLUSION Sleep problems were prevalent among children aged 3-6 years in the rural area of Shanghai, and preterm birth was not associated with sleep problems in kindergarten children. We recommend that parents should create limit setting in the home, cultivate similar child-rearing attitudes and beliefs among family members, and encourage children to go to bed earlier.
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Affiliation(s)
- Ruiping Wang
- Clinical Research Center, Shanghai Skin Diseases Hospital, Tongji University, Shanghai, China
| | - Jun Chen
- Clinical Research Center, Shanghai Eye Disease Hospital, Shanghai, China
| | - Liqun Tao
- Lishui Hospital of Traditional Chinese Medicine, Lishui, China
| | - Yan Qiang
- Clinical Research Center, Shanghai Skin Diseases Hospital, Tongji University, Shanghai, China
| | - Qing Yang
- Songjiang Maternal and Child Health-Care Hospital, Shanghai, China
| | - Bin Li
- Clinical Research Center, Shanghai Skin Diseases Hospital, Tongji University, Shanghai, China
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25
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Chen Y, Zhao A, Lyu J, Hu Y, Yin Y, Qu J, Tong S, Li S. Association of Parasomnia Symptoms with Risk of Childhood Asthma and the Role of Preterm Birth. Nat Sci Sleep 2022; 14:1559-1573. [PMID: 36089999 PMCID: PMC9451036 DOI: 10.2147/nss.s356182] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 06/20/2022] [Indexed: 11/23/2022] Open
Abstract
PURPOSE To examine whether parasomnia symptoms are associated with increased odds of childhood asthma and wheeze, and the role of preterm birth. PATIENTS AND METHODS The Shanghai Children's Allergy Study was cross-sectionally conducted in 31 kindergartens and 17 primary schools in Shanghai, China. After excluding the missing data of gestational week and child's age, this study included a total of 16,487 individuals with a mean age of 7.74 years and 52.4% of males. The association between parasomnia symptoms and wheeze/asthma was assessed by univariate and multivariate analyses. The interaction effects of parasomnias and preterm birth were primarily evaluated by P for multiplicative interaction, and the relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI) were also measured. RESULTS Parasomnias, especially rapid eye movement (REM) parasomnia symptoms, were associated with an increased risk of childhood wheeze/asthma, and the interaction between parasomnia and preterm birth exhibited an excess risk of current wheeze (RERI, 1.43; 95% CI, 0.41-2.45) and ever asthma (RERI, 0.75; 95% CI, 0.01-1.50). In the stratification analyses, the combination of parasomnia symptoms and preterm birth had higher odds of wheeze/asthma. And the odds of current wheeze (OR, 4.55; 95% CI, 1.69-12.25; p=0.003) and ever asthma (OR, 6.17; 95% CI, 2.36-16.11; p<0.001) were much higher in cumulative parasomnia symptoms plus very preterm birth. And sensitive analyses were further conducted in populations without sleep disordered breathing (SDB), and an allergen test subgroup, yielding similar results. CONCLUSION Parasomnia symptoms are associated with increased odds of childhood wheeze/asthma, and the odds were even higher in premature population. The findings suggest that parasomnia symptoms, as a developmental sleep disorder, are supposed to be closely watched among children who have asthma or are at risk for asthma, and that preterm children deserve more attention.
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Affiliation(s)
- Yiting Chen
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Anda Zhao
- Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jiajun Lyu
- Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, People's Republic of China
| | - Yabin Hu
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Yong Yin
- Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Jiajie Qu
- Childcare Department, Shanghai Municipal Education Commission, Shanghai, People's Republic of China
| | - Shilu Tong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,School of Public Health, Institute of Environment and Population Health, Anhui Medical University, Hefei, People's Republic of China.,School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Shenghui Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.,MOE-Shanghai Key Laboratory of Children's Environmental Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
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Trickett J, Bernardi M, Fahy A, Lancaster R, Larsen J, Ni Y, Suonpera E, Wolke D, Marlow N, Johnson S. Disturbed sleep in children born extremely preterm is associated with behavioural and emotional symptoms. Sleep Med 2021; 85:157-165. [PMID: 34333198 DOI: 10.1016/j.sleep.2021.07.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 06/24/2021] [Accepted: 07/04/2021] [Indexed: 11/18/2022]
Abstract
AIM To determine whether children born extremely preterm are at increased risk for sleep disturbances and to explore relationships between extremely preterm birth, sleep and attention-deficit/hyperactivity disorder (ADHD) symptoms and emotional symptoms. METHOD EPICure2 cohort study. Parents of 165 children born ≤26 weeks' gestation (53% male) and 121 children born at term (43% male) completed the Children's Sleep Habits Questionnaire, sleep disordered breathing subscale of the Pediatric Sleep Questionnaire, the emotional problems scale of the Strengths and Difficulties Questionnaire and the ADHD Rating Scale-5 at 11 years of age. RESULTS Extremely preterm children had greater habitual snoring (adjusted odds ratio 6.8; 95% confidence interval 2.3, 20.3), less frequently fell asleep within 20 minutes (Cohen's d 0.33), higher night wakings (d 0.44) and daytime sleepiness scores (d 0.40) than term-born children; there was no between-group difference in sleep duration scores. Among children without severe disability, night wakings scores partially mediated the relationship between preterm birth and inattention (additional 5% of variance explained), hyperactivity/impulsivity (13%) and emotional problems (9%). Snoring partially mediated the relationship between preterm birth, hyperactivity/impulsivity and inattention (additional 1-5% of variance). CONCLUSION Children born extremely preterm are at increased risk of disturbed sleep compared to term-born children. As night wakings partially mediated the relationship between preterm birth and ADHD symptoms and emotional problems, reducing sleep disturbance may improve sleep and reduce attention and emotional problems in this population.
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Affiliation(s)
- Jayne Trickett
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom; Centre for Mathematical Cognition, School of Science, Loughborough University, Loughborough, United Kingdom
| | - Marialivia Bernardi
- Institute for Women's Health, University College London, London, United Kingdom
| | - Amanda Fahy
- Institute for Women's Health, University College London, London, United Kingdom
| | - Rebecca Lancaster
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Jennifer Larsen
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom
| | - Yanyan Ni
- Institute for Women's Health, University College London, London, United Kingdom
| | - Emmi Suonpera
- Institute for Women's Health, University College London, London, United Kingdom
| | - Dieter Wolke
- Department of Psychology, University of Warwick, Coventry, United Kingdom
| | - Neil Marlow
- Institute for Women's Health, University College London, London, United Kingdom
| | - Samantha Johnson
- Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
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