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Zeng QG, Dai J, Jalaludin B, Wei J, Zhao B, Lv Y, Oudin A, Jalava P, Dong GH, Zeng XW. Long-term exposure to major constituents of fine particulate matter and sleep disorders among children and adolescents: A population-based survey in Guangdong province, China. JOURNAL OF HAZARDOUS MATERIALS 2025; 492:138254. [PMID: 40233456 DOI: 10.1016/j.jhazmat.2025.138254] [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: 01/21/2025] [Revised: 03/22/2025] [Accepted: 04/10/2025] [Indexed: 04/17/2025]
Abstract
Long-term exposure to PM2.5 is associated with sleep health in adults, but its impact on children and adolescents remains unclear. This cross-sectional study analyzed 64,203 children and adolescents (6-18 years) from four cities in Guangdong, China, to assess the impact of PM2.5 and its major constituents on sleep disorders. Sleep disorders were assessed using the Sleep Disturbance Scale for Children. Generalized linear mixed models and weighted quantile sum regression were applied to assess the joint effects of PM2.5 constituents. The results indicated a positive association between PM2.5 and sleep disorders. For example, the odds of sleep disorder increased with per interquartile range (IQR) increase in PM2.5 concentrations [odds ratio (OR): 1.15, 95 % confidence interval (CI):1.06, 1.26). Black carbon (BC) and organic matter (OM) increase the odds by 16 % (95 % CI: 9, 24 %) and 23 % (95 % CI: 9, 39 %), respectively. Notably, combustion-related BC (44.3 %) and OM (24.3 %) contributed the key contributors to the mixture risk. Children and adolescents with limited outdoor activity (< 2 hours/day) were more vulnerable to PM2.5 exposure (P for interaction = 0.028). These findings highlight that stricter air pollution regulations and targeted measures to reduce children's exposure to combustion-derived pollutants are essential for protecting sleep health and overall well-being.
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Affiliation(s)
- Qing-Guo 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
| | - Jian Dai
- Department of Clinical Psychology, Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - Bin Jalaludin
- School of Public Health and Community Medicine, The University of New South Wales, Kensington 2052, Australia
| | - Jing Wei
- Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA
| | - Bin Zhao
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
| | - Yuan Lv
- Department of Neurology, Jiangbin Hospital, Guangxi Zhuang Autonomous Region, Nanning 530021, China
| | - Anna Oudin
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Pasi Jalava
- Department of Environmental and Biological Science, University of Eastern Finland, Kuopio, Finland
| | - 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
| | - 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.
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Schibler BM, Kanne SM, Stoddard GJ, Carbone PS. Autism Spectrum Disorder and Health-Determining Behaviors: Assessing Physical Activity, Screen Time, and Sleep with the National Survey of Children's Health. J Autism Dev Disord 2025:10.1007/s10803-025-06842-8. [PMID: 40246747 DOI: 10.1007/s10803-025-06842-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2025] [Indexed: 04/19/2025]
Abstract
To compare the national prevalence of meeting physical activity, screen time, and sleep guidelines between autistic and nonautistic children and identify factors associated with meeting these guidelines. Prevalences for each health-determining behavior were estimated using the 2022 National Survey of Children's Health, using national guidelines. Complex survey-weighted logistic regression, adjusted for demographic covariates, was used to measure associations between autism and meeting each guideline, and to identify potential child, family, community, and policy-level determinants of each behavior among autistic children. The prevalence of meeting all three guidelines was low among autistic and nonautistic children across age groups. Physical activity guidelines were met at similarly low rates among autistic and nonautistic children; however, autistic children of all age groups were less likely to meet screen time guidelines, and those in the 3-5 and 6-11 years age groups were less likely to meet sleep guidelines. Moderate/severe autism, irregular bedtime, low parental education, and lacking a medical home were associated with lower likelihood of meeting sleep guidelines. Irregular bedtime and high income were associated with lower likelihood of meeting physical activity guidelines. Autistic children meet guidelines for physical activity, screen time, and sleep at a low prevalence and less than their nonautistic peers. Clinicians should develop individualized plans to facilitate adherence to guidelines among autistic children. Interventions should address modifiable factors, including bedtime regularity and access to medical homes. Further research and policy efforts should be made to improve adherence to guidelines among autistic children and subsequently reduce health disparities.
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Affiliation(s)
- Brian M Schibler
- Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.
| | - Stephen M Kanne
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | - Gregory J Stoddard
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - Paul S Carbone
- Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
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Jones EJ, Miller P, Natale BN, Dupree T, Damon S, Marsland AL, Shaw DS, Votruba-Drzal E. Childhood Family Income and Adult Cardiovascular Health: Indirect Effects Through Childhood Neighborhood Socioeconomic Advantages and Disadvantages in a Prospective Sample of Young Men. J Am Heart Assoc 2025; 14:e037871. [PMID: 40194964 DOI: 10.1161/jaha.124.037871] [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: 07/24/2024] [Accepted: 02/12/2025] [Indexed: 04/09/2025]
Abstract
BACKGROUND Childhood family income may impact men's cardiovascular health (CVH), partly through exposure to neighborhood advantages and disadvantages experienced across childhood. METHODS AND RESULTS One hundred thirty-one boys (52.7% Black or bi/multiracial) born into low-income households in an urban environment were followed throughout childhood and completed a health assessment in adulthood. Childhood family income and home addresses were collected when participants were ages 1.5 to 17 years (13 waves). Annual income was averaged across waves to calculate mean childhood family income. Addresses were geocoded and linked with Census data to estimate neighborhood socioeconomic advantage and disadvantage at the Census-tract level and averaged across waves to estimate cumulative childhood neighborhood advantage and disadvantage. At age 32 years, participants underwent a physiological assessment, and CVH was estimated using Life's Essential 8 metrics: body mass index, blood pressure, cholesterol, glycated hemoglobin, sleep, smoking, and physical activity (diet not available). The Hayes' MEDCURVE macro was used to estimate indirect effects of childhood family income on adult CVH through neighborhood socioeconomic advantage and disadvantage across childhood. Higher childhood family income was associated with better CVH among men through greater exposure to childhood neighborhood advantage. Greater childhood family income was also protective for men's CVH through reduced exposure to childhood neighborhood disadvantage; however, the indirect effect through neighborhood disadvantage varied by childhood income and was the most robust among men raised in relatively higher-income households throughout childhood. CONCLUSIONS Improving socioeconomic neighborhood conditions may have the potential to benefit adult CVH among racially diverse boys born into low-income urban environments.
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Affiliation(s)
- Emily J Jones
- University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Portia Miller
- University of Pittsburgh Pittsburgh Pennsylvania USA
| | | | - Tess Dupree
- University of Pittsburgh Pittsburgh Pennsylvania USA
| | - Sydney Damon
- University of Pittsburgh Pittsburgh Pennsylvania USA
| | | | - Daniel S Shaw
- University of Pittsburgh Pittsburgh Pennsylvania USA
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Yan J, Xie M, Zhao Z, Cham H, El-Sheikh M, Yip T. Sleep Profiles Among Ethnically-Racially Minoritized Adolescents: Associations with Sociocultural Experiences and Developmental Outcomes. JOURNAL OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY : THE OFFICIAL JOURNAL FOR THE SOCIETY OF CLINICAL CHILD AND ADOLESCENT PSYCHOLOGY, AMERICAN PSYCHOLOGICAL ASSOCIATION, DIVISION 53 2025:1-14. [PMID: 40232148 DOI: 10.1080/15374416.2025.2475495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2025]
Abstract
OBJECTIVE This study used latent profile analyses to (1) identify heterogeneous patterns of sleep profiles; (2) examine how discrimination was related to sleep profiles; and (3) investigate how developmental outcomes varied across sleep profiles among ethnically-racially minoritized adolescents. METHOD Participants were 350 ethnically-racially minoritized adolescents (69% female; 22% Black-African American, 41% Asian American, and 37% Latinx; Mage = 14.27 years old, SD = 0.61) completed self-reported presurvey measures of everyday discrimination, ethnic-racial discrimination, and self-reported post-survey measures of depressive symptoms, somatic symptoms, self-esteem, and rumination. Objectively and subjectively measured sleep were assessed utilizing a short-term longitudinal (i.e., two-week) design, where adolescents wore a wrist actigraph and completed daily diaries for 14 consecutive days. RESULTS Drawing on multiple objectively and subjectively measured sleep indicators, three profiles were identified: Nighttime Sleeper (76.57%), Disrupted Sleeper (14.29%), and Daytime Sleeper (9.14%). Adolescents experiencing higher levels of ethnic-racial discrimination were more likely to be characterized in the Disrupted Sleeper, relative to the Nighttime Sleeper profile. Compared with Asian and Latinx Americans, Black adolescents were more likely to be in the Daytime Sleeper, relative to the Nighttime Sleeper profile. Those in the Disrupted Sleeper profile exhibited the worst developmental outcomes. CONCLUSIONS The findings inform clinical interventions focusing on sleep experiences, especially as they relate to protective processes for coping with discrimination. Clinical efforts (e.g., sleep education or therapy to develop routines for adaptive napping) may be beneficial to facilitating healthy sleep behaviors and mitigating sleep disturbances, which in turn, improve developmental well-being among ethnically-racially minoritized adolescents.
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Affiliation(s)
- Jinjin Yan
- Department of Psychology, Fordham University
| | - Mingjun Xie
- Institute of Developmental Psychology, Beijing Normal University
| | | | | | - Mona El-Sheikh
- Department of Human Development and Family Studies, Auburn University
| | - Tiffany Yip
- Department of Psychology, Fordham University
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Wenzell ML, Ievers-Landis CE, Kim S, DeSimio S, Neudecker M, Aaron S, Wierenga K, Miao M, Williamson AA. Scoping Review of Socio-Ecological Factors Contributing to Sleep Health Disparities in Children with Autism Spectrum Disorder. J Autism Dev Disord 2025:10.1007/s10803-025-06807-x. [PMID: 40186690 DOI: 10.1007/s10803-025-06807-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/17/2025] [Indexed: 04/07/2025]
Abstract
Given the high prevalence of sleep problems in children with autism spectrum disorder (ASD), there is a critical need to examine how sleep problems may be exacerbated for children exposed to social and environmental adversity. Guided by the socio-ecological model, this review aimed to evaluate factors linked to sleep health disparities (SHDs) in children with ASD, determine possible gaps/limitations in existing literature, and identify possible solutions. A scoping review was selected to ascertain what is known about SHDs in ASD. Four databases identified articles from 2004 to 2023. Included articles were those conducted in children with ASD that focused on sleep and examined socio-ecological factors (i.e., individual, family, neighborhood and socio-cultural) possibly contributing to SHDs. 41 studies were extracted; 31 (75.6%) focused on individual factors, 27 (65.9%) focused on family factors, 11 (26.8%) focused on neighborhood and/or socio-cultural factors; 3 (7.3%) focused on factors across all three socio-ecological levels. Six studies included interventions that found improvements in child sleep, behavior, and quality of life. Representation of racial and ethnic minoritized groups was limited across studies. Most studies focused on individual child factors associated with sleep problems, with less research focused on family factors, and very few studies examining broader neighborhood and socio-cultural factors. Only about half of studies reported race and ethnicity data, with sparse representation of racial and ethnic minoritized children and families overall. These findings highlight the need for future research on modifiable socio-ecological factors to guide equitable sleep interventions for children with ASD.
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Affiliation(s)
- Megan L Wenzell
- Frances Payne Bolton School of Nursing, Case Western Reserve University, 9501 Euclid Ave, Cleveland, OH, 44106, USA.
| | - Carolyn E Ievers-Landis
- Reserve University School of Medicine, University Hospitals Rainbow Babies & Children's Hospital, 11100 Euclid Ave, Cleveland, OH, 44106-6038, USA
| | - Sehyun Kim
- Case Western Reserve University School of Medicine, 9501 Euclid Ave, Cleveland, OH, 44106, USA
| | - Samantha DeSimio
- Frances Payne Bolton School of Nursing, Case Western Reserve University, 9501 Euclid Ave, Cleveland, OH, 44106, USA
| | - Mandy Neudecker
- University Rainbow Babies and Children's Hospital, 2101 Adelbert Rd, Cleveland, OH, 44106, USA
| | - Siobhan Aaron
- Frances Payne Bolton, School of Nursing, Case Western Reserve University, 9501 Euclid Ave, Cleveland, OH, 44106, USA
| | - Kelly Wierenga
- School of Nursing, Indiana University, 600 Barnhill Dr, 46202, Indianapolis, IN, USA
| | - Meng Miao
- Frances Payne Bolton School of Nursing, Case Western Reserve University, 9501 Euclid Ave, Cleveland, OH, 44106, USA
| | - Ariel A Williamson
- The Ballmer Institute for Children's Behavioral Health, University of Oregon, 2800 NE Liberty St, 97211, Portland, OR, USA
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Ontai LL, Hibel LC. Multisystem Interconnected Lifestyle Framework: A Holistic Approach to Examining the Lifestyle Determinants of Obesity in Early Childhood. JOURNAL OF NUTRITION EDUCATION AND BEHAVIOR 2025; 57:355-362. [PMID: 39895431 DOI: 10.1016/j.jneb.2024.12.009] [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: 05/16/2024] [Revised: 12/20/2024] [Accepted: 12/23/2024] [Indexed: 02/04/2025]
Abstract
This report proposes the multisystem interconnected lifestyle (MIL) framework to describe how lifestyle behaviors (i.e., sleep, stress, activity, diet) work together to create profiles of young children's obesogenic risk. This report argues that considering lifestyle behaviors collectively within and across days more accurately captures the complexity of obesity risk. The MIL framework builds on social ecological models to situate lifestyle behavior profiles within the social connections and ecological contexts of children's lives. The MIL framework potentiates the next generation of obesity research, reflecting a holistic understanding of lifestyle behavior engagement that could inform more effective and targeted education and intervention approaches.
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Affiliation(s)
- Lenna L Ontai
- Department of Human Ecology, University of California, Davis, CA.
| | - Leah C Hibel
- Department of Human Ecology, University of California, Davis, CA
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Joseph PL, Fleary SA. Designing Health Interventions to Meet the Needs and Experiences of Minoritized Adolescents: #DoubleTap4Health. HEALTH EDUCATION & BEHAVIOR 2025; 52:166-178. [PMID: 39480138 DOI: 10.1177/10901981241292313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2024]
Abstract
Engagement in preventive health behaviors (PHBs; i.e., healthy eating, sleep, and physical activity) during adolescence is associated with reduced risks for chronic conditions, such as diabetes, in adulthood. Although several interventions seek to improve adolescents' engagement in health promoting behaviors, racial- and income-based disparities across PHBs persist and may be even more pronounced for adolescents with multiple minoritized identities (e.g., Black adolescents in low-income communities). Therefore, targeted interventions that better meet the needs of minoritized adolescents are critical. The design of such interventions should include: (1) adolescent involvement, (2) cultural tailoring, (3) developmental theory, and (4) consideration of the social determinants of health. This article describes how these elements have been successfully incorporated into adolescent preventive health interventions and used to design #DoubleTap4Health, a community-based social media health intervention for Black adolescents from a low-income community. The results of a feasibility pilot of #DoubleTap4Health suggest that (1) attention to these elements in the intervention design process is feasible and advantageous to ensuring that the intervention components are appropriate and well received by adolescents, and (2) the intervention demonstrated promise as adolescents showed improved engagement in PHBs and media literacy skills. Lessons learned and next steps for intervention development are discussed. Including the above four elements in the design of preventive health interventions for adolescents from minoritized communities is critical to promoting health equity.
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Raniti M, Chairilsyah MR, Suma MNI, Sawyer SM. The Association Between School Connectedness and Sleep Health in Children and Adolescents: A Systematic Review. Nat Sci Sleep 2025; 17:489-504. [PMID: 40161367 PMCID: PMC11952061 DOI: 10.2147/nss.s498002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2024] [Accepted: 01/17/2025] [Indexed: 04/02/2025] Open
Abstract
Schools are key settings for sleep health promotion and interventions. Yet their value as rich social-emotional environments that shape student health and wellbeing has largely been neglected by sleep research. School connectedness reflects students' engagement with learning and sense of belonging with peers, teachers, and the school environment. Although school connectedness is associated with physical and mental health in children and adolescents, whether it is associated with sleep is unclear. To address this gap, we systematically reviewed the evidence for cross-sectional and prospective associations between school connectedness and sleep. We searched Medline, PubMed, PsycINFO, and ERIC databases for observational and intervention studies published from 1950 to 17th July 2024 that examined relationships between school connectedness and sleep health or sleep problems/disorders in four- to 24-year-olds. We identified ten eligible studies (seven cross-sectional and three longitudinal) for narrative synthesis. Studies were primarily from China and Taiwan (n = 6) and conducted in secondary schools (n = 8). Participants were 14.5 years old, on average. Most of the cross-sectional studies found a positive relationship between school connectedness and sleep health. All longitudinal studies reported at least one significant relationship between school connectedness and sleep health, however two of these studies also reported non-significant relationships. We did not identify any intervention studies. Most studies were rated as 'fair' quality representing a moderate risk of bias. The findings of this review suggest that school connectedness is linked to some aspects of sleep health and insomnia in secondary-school aged adolescents. Longitudinal studies are needed to explore prospective relationships in addition to studies conducted in primary and tertiary education settings.
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Affiliation(s)
- Monika Raniti
- Centre for Adolescent Health, Murdoch Children’s Research Institute & Royal Children’s Hospital, Melbourne, Victoria, Australia
- Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
- The ALIVE National Centre for Mental Health Research Translation, University of Melbourne, Melbourne, Victoria, Australia
| | - Muhammad Reza Chairilsyah
- Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Muhammad Nur Imaduddin Suma
- Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
- Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Susan M Sawyer
- Centre for Adolescent Health, Murdoch Children’s Research Institute & Royal Children’s Hospital, Melbourne, Victoria, Australia
- Department of Paediatrics, Melbourne Medical School, University of Melbourne, Melbourne, Victoria, Australia
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Chung KW, Lorenzo K, Chae DH, El‐Sheikh M, Yip T. Impact of daily neighborhood crime on nightly sleep among adolescents. Child Dev 2025; 96:891-900. [PMID: 39668709 PMCID: PMC11868680 DOI: 10.1111/cdev.14202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2024]
Abstract
Crime impacts both the immediate victims and has indirect effects on the community. This study examined associations between daily neighborhood crime and actigraphy-assessed sleep outcomes using multilevel modeling. Data were from a longitudinal (14-day) study of 288 adolescents (Mage = 15.27; 70.8% girls, 29.2% boys; 38.9% Asian, 36.8% Hispanic or Latinx, 20.5% Black or African American) in the New York City area in 2014. Residential addresses were geocoded to examine police-recorded crime. Daily neighborhood violent crime was associated with nightly sleep efficiency, but not duration, bedtime, or wake time. Non-violent crime was not associated with any sleep outcomes. This suggests that neighborhood violent crimes are detrimental to the quality, but not quantity or timing, of sleep that adolescents receive that evening.
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Affiliation(s)
- Kara W. Chung
- Tulane University School of Public Health and Tropical MedicineNew OrleansLouisianaUSA
| | | | - David H. Chae
- Tulane University School of Public Health and Tropical MedicineNew OrleansLouisianaUSA
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Kim B, Kanchi R, Titus AR, Grams ME, McAdams-DeMarco MA, Thorpe LE. Built environment and chronic kidney disease: current state and future directions. Curr Opin Nephrol Hypertens 2025; 34:143-150. [PMID: 39569647 PMCID: PMC11779582 DOI: 10.1097/mnh.0000000000001048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2024]
Abstract
PURPOSE OF REVIEW Despite emerging studies on neighborhood-level risk factors for chronic kidney disease (CKD), our understanding of the causal links between neighborhood characteristics and CKD is limited. In particular, there is a gap in identifying modifiable neighborhood factors, such as the built environment, in preventing CKD, that could be targets for feasible place-based interventions. RECENT FINDINGS Most published studies on neighborhood factors and CKD have focused on a single social attribute, such as neighborhood disadvantage, while research on the role of the built environment is more nascent. Early studies on this topic have yielded inconsistent results, particularly regarding whether food deserts are an environmental risk factor for CKD onset. International studies have shown that walkable neighborhoods - characterized by features such as urban design, park access, and green spaces - can be protective against both the onset and progression of CKD. However, these findings are inconclusive and understudied in the context of United States, where neighborhood environments differ from those in other countries. SUMMARY Future research on modifiable neighborhood factors and CKD using advanced study designs and population-representative datasets can yield stronger evidence on potential causal associations and suggest feasible place-based interventions as strategies for preventing CKD. As an example, we demonstrated the potential of electronic health record-based studies to advance research in this area.
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Affiliation(s)
- Byoungjun Kim
- Department of Surgery, New York University Grossman School of Medicine
- Department of Population Health, New York University Grossman School of Medicine
| | - Rania Kanchi
- Department of Population Health, New York University Grossman School of Medicine
| | - Andrea R. Titus
- Department of Population Health, New York University Grossman School of Medicine
| | - Morgan E. Grams
- Department of Population Health, New York University Grossman School of Medicine
- Department of Medicine, New York University Grossman School of Medicine
| | - Mara A. McAdams-DeMarco
- Department of Surgery, New York University Grossman School of Medicine
- Department of Population Health, New York University Grossman School of Medicine
| | - Lorna E. Thorpe
- Department of Population Health, New York University Grossman School of Medicine
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Hunter S, Perala Z, Patte K, Leatherdale S, Carson V, Chaput JP, Faulkner G, Pabayo R. Income inequality and adherence to 24-hour movement guideline recommendations among adolescents: a multilevel growth curve analysis using longitudinal data from three waves of the Cannabis, Obesity, Mental health, Physical activity, Sedentary behaviour and Smoking (COMPASS) study (2016-2019). J Epidemiol Community Health 2025:jech-2024-223176. [PMID: 39965910 DOI: 10.1136/jech-2024-223176] [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: 10/18/2024] [Accepted: 02/07/2025] [Indexed: 02/20/2025]
Abstract
BACKGROUND There is a paucity of literature regarding income inequality and adolescent movement behaviours (physical activity, sedentary behaviours, sleep). This study examined whether income inequality was associated with meeting Canadian 24-Hour Movement Guidelines (24HMG) recommendations among adolescents over time. METHODS Longitudinal data from adolescents (n=9299) in the Cannabis, Obesity, Mental health, Physical activity, Sedentary behaviour and Smoking study (2016-2017 to 2018-2019) were linked with income data at the census division (CD) level from the 2016 Canadian Census. Adolescents (aged 13-19 years) reported on their physical activity, sleep duration and screen time via questionnaire. Gini coefficients were calculated at the CD level using after-tax household income from the 2016 Canadian Census. Multilevel logistic regression analyses were performed to test the association between income inequality and meeting several 24HMG recommendations. RESULTS The joint effect (income inequality*time) was significant for meeting the sleep duration recommendation (2017-2018 OR=0.83, 95% CI 0.74, 0.92; 2018-2019 OR=0.77, 95% CI 0.70, 0.86; p<0.0001), meeting any two recommendations over time (2017-2018 OR=0.97, 95% CI 0.86, 1.09; 2018-2019 OR=0.85, 95% CI 0.75, 0.97; p=0.0402) and meeting combined sleep and physical activity recommendations (2017-2018 OR=0.93, 95% CI 0.82, 1.06; 2018-2019 OR=0.82, 95% CI 0.71, 0.94; p=0.0200). Joint effects (income inequality*time) were not significant (p>0.05) for screen time or physical activity independently of sleep. CONCLUSION Adolescents attending schools in areas with greater income inequality may be at higher risk for inadequate sleep and combined short sleep and physical inactivity.
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Affiliation(s)
- Stephen Hunter
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
- Women and Children's Health Research Institute, University of Alberta, Edmonton, Alberta, Canada
| | - Zack Perala
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
| | - Karen Patte
- Department of Health Sciences, Brock University, St. Catharines, Ontario, Canada
| | - Scott Leatherdale
- School of Public Health Sciences, University of Waterloo, Waterloo, Ontario, Canada
| | - Valerie Carson
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, Alberta, Canada
| | - Jean-Philippe Chaput
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, Ontario, Canada
| | - Guy Faulkner
- School of Kinesiology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Roman Pabayo
- School of Public Health, University of Alberta, Edmonton, Alberta, Canada
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Senger-Carpenter T, Voepel-Lewis T, Stoddard SA, Zhang A, Ordway MR. The impact of race, ethnicity, and socioeconomic status on early adolescent sleep disturbances for youth exposed to adverse childhood experiences. CHILD ABUSE & NEGLECT 2025; 160:107236. [PMID: 39754988 PMCID: PMC11792094 DOI: 10.1016/j.chiabu.2024.107236] [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: 08/15/2024] [Revised: 12/13/2024] [Accepted: 12/20/2024] [Indexed: 01/06/2025]
Abstract
BACKGROUND Adverse childhood experiences (ACEs) may increase the risk for adolescent sleep disturbances, though the impact of race, ethnicity, and socioeconomic status (SES) remains unclear. OBJECTIVE We sought to determine the direct and moderating impact of race, ethnicity, family SES, and community SES on sleep disturbances across early adolescence for ACE-exposed youth. PARTICIPANTS AND SETTING This secondary analysis used longitudinal Adolescent Brain Cognitive Development Study® data (2016-2022) from youth who experienced ≥1 ACE by age 9-10 years. METHODS Clinically significant sleep disturbances were identified from the annual parent-reported Sleep Disturbances Scale for Children. Parents reported youths' race, ethnicity, family SES, and community SES at baseline. Multilevel mixed effects logistic regression modeling examined the impact of race, ethnicity, and SES on sleep disturbances over four years among ACE-exposed youth. Adjusted odds ratios with 95 % confidence intervals are presented (adj. OR [95 % CI]). RESULTS Among 6661 youth with ACE exposure, 2402 (36.1 %) had clinically significant sleep disturbances at baseline. Multiracial (versus White) youth were 27 % likelier to have clinically significant sleep disturbances over time (adj. OR 1.27 [95 % CI 1.01, 1.59]). Similar results were found for youth exposed to ≥2 family financial adversities (adj. OR 1.50 [95 % CI 1.19, 1.90]). There were no effects of community SES, nor interaction effects of race, ACEs, or SES on sleep disturbances. CONCLUSION While Multiracial youth may experience additional stressors which affect sleep disturbances, regularly assessing family environments and supporting all families to meet basic needs may positively impact adolescent sleep.
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Affiliation(s)
- Thea Senger-Carpenter
- University of Michigan School of Nursing, 426 N. Ingalls Street, Ann Arbor, MI 48109, USA.
| | - Terri Voepel-Lewis
- University of Michigan School of Nursing, 426 N. Ingalls Street, Ann Arbor, MI 48109, USA; Department of Anesthesiology at Michigan Medicine, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
| | - Sarah A Stoddard
- University of Michigan School of Nursing, 426 N. Ingalls Street, Ann Arbor, MI 48109, USA; University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA.
| | - Anao Zhang
- University of Michigan School of Social Work, 1080 S. University Avenue, Ann Arbor, MI 48103, USA; Adolescents and Young Adults Oncology Program at Michigan Medicine, 1500 E. Medical Center Drive, Ann Arbor, MI 48109, USA.
| | - Monica R Ordway
- Yale School of Nursing, 400 W. Campus Drive, Orange, CT 06577, USA.
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13
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Lercher P, Dzhambov AM, Persson Waye K. Environmental perceptions, self-regulation, and coping with noise mediate the associations between children's physical environment and sleep and mental health problems. ENVIRONMENTAL RESEARCH 2025; 264:120414. [PMID: 39577730 DOI: 10.1016/j.envres.2024.120414] [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: 08/10/2024] [Revised: 11/05/2024] [Accepted: 11/20/2024] [Indexed: 11/24/2024]
Abstract
BACKGROUND Children face various challenges in their home and extended neighborhood settings. In this study, we examine the impact of the built and social environments on sleep/mental health and the potential mediating role of environmental perceptions, self-regulation, and coping with noise. METHODS Cross-sectional data for 1251 schoolchildren (8-12 years) were sampled in the Tyrol region of Austria/Italy. Questionnaires provided information on sociodemographic and housing factors, perceived neighborhood quality, coping with noise during homework, self-regulation, sleep, and mental health problems. A built environment score was based on modeled levels of road and rail traffic noise, nitrogen dioxide, and imperviousness density. Home garden represented availability of accessible greenspace. Associations between predictors and mental health/sleep problems were examined using quantile regressions and structural equation modeling (SEM). RESULTS In multivariate regressions, poor neighborhood quality, poor self-regulation, low traffic safety, and higher coping efforts were associated with more mental health and sleep problems. Good family relations acted in the opposite direction. In SEM, the built environment score was associated with lower neighborhood quality and lower traffic safety, which in turn led to higher coping efforts, and then to mental health/sleep problems. Home gardens related to less sleep problems through higher perceived neighborhood quality and lower coping efforts. Good family relations were associated with better mental health/sleep directly and via better self-regulation and lower coping efforts. CONCLUSIONS Children forced to engage in coping activities when disturbed by noise during homework show poorer mental health. Good family relations, good neighborhood quality, and close-by greenspace may be factors to alleviate built environment stressors. The negative association of required coping with noise during homework suggests that children, in contrast to adults, may be limited in their coping abilities. Our findings call for further inquiries, as children and their environments may vary with respect to coping efficiency.
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Affiliation(s)
- Peter Lercher
- Institute of Highway Engineering and Transport Planning, Graz University of Technology, Graz, Austria
| | - Angel M Dzhambov
- Institute of Highway Engineering and Transport Planning, Graz University of Technology, Graz, Austria; Environmental Health Division, Research Institute at Medical University of Plovdiv, Medical University of Plovdiv, Plovdiv, Bulgaria.
| | - Kerstin Persson Waye
- School of Public Health and Community Medicine, Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
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14
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Gueye-Ndiaye S, Redline S. Sleep Health Disparities. Annu Rev Med 2025; 76:403-415. [PMID: 39531860 DOI: 10.1146/annurev-med-070323-103130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2024]
Abstract
Sleep is an important and potentially modifiable determinant of many severe health outcomes. Sleep health disparities exist and are exemplified by reported differential rates of prevalence, severity, and outcomes among minority groups and low-socioeconomic-status backgrounds. In this review we highlight the concept of sleep health, review the evidence for disparities in sleep health, examine risk factors and consequences of poor sleep health, and discuss policy implications.
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Affiliation(s)
- Seyni Gueye-Ndiaye
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
- Boston Children's Hospital, Boston, Massachusetts, USA;
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA;
- Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA
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15
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Adams EL, Estradé M, Lewis EC, Poirier-Barna L, Smith MT, Gittelsohn J. Perceptions around sleep hygiene practices and beliefs among urban Black adolescents and their caregivers during the COVID-19 pandemic. Sleep Health 2024; 10:678-682. [PMID: 39332925 DOI: 10.1016/j.sleh.2024.07.009] [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: 02/10/2024] [Revised: 07/12/2024] [Accepted: 07/18/2024] [Indexed: 09/29/2024]
Abstract
OBJECTIVE This study gathered adolescent and caregiver perspectives on sleep hygiene practices and beliefs for Black families living in low-resourced urban communities. METHODS Semistructured interviews were conducted with adolescents (n = 9) and caregivers (n = 9) from January-March 2021, during the COVID-19 pandemic. Interview questions included adolescent's current sleep habits, barriers, and home and neighborhood influences. Trained researchers coded data using inductive analysis and a constant comparative method to derive themes. RESULTS Two themes focused on sleep hygiene practices, including items used to facilitate sleep (e.g., melatonin, electronics) and COVID-19 consequences on sleep schedules. Two themes focused on sleep hygiene beliefs, including a common value on the importance of sleep and influences on caregiver's bedtime rules. CONCLUSIONS Findings provide important insights on sleep hygiene practices and beliefs in a historically marginalized population of Black adolescents and caregivers in urban communities to inform targeted sleep interventions, policies, and programs for optimal sleep and well-being.
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Affiliation(s)
- Elizabeth L Adams
- Department of Exercise Science, University of South Carolina, Columbia, South Carolina, United States; Research Center for Child Well-Being, University of South Carolina, Columbia, South Carolina, United States
| | - Michelle Estradé
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States
| | - Emma C Lewis
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States
| | - Lisa Poirier-Barna
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States
| | - Michael T Smith
- Department of Psychiatry, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States
| | - Joel Gittelsohn
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States.
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16
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Kwon M, Page SD, Williamson AA, Morgan S, Sawyer AM. Social determinants of health at multiple socio-ecological levels and sleep health in adolescents: A scoping review. Sleep Med Rev 2024; 78:102008. [PMID: 39298878 PMCID: PMC11598681 DOI: 10.1016/j.smrv.2024.102008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 08/01/2024] [Accepted: 09/09/2024] [Indexed: 09/22/2024]
Abstract
Heightened sleep disturbances occur in adolescence, yet existing research has predominantly focused on individual factors linked to poor sleep and a limited set of sleep outcomes, such as sleep duration and timing. This scoping review aimed to identify the multilevel social determinants of adolescent sleep health across domains, including regularity, satisfaction/quality, alertness/sleepiness, timing, efficiency/continuity, duration, and behavior. Social determinants of health (SDoH) were categorized through a socio-ecological lens, while sleep health domains were aligned with the RU-SATED and Peds B-SATED sleep health frameworks. A systematic database search resulted in 57 studies of non-clinical adolescent and young adult populations (age 10-24 y) in North America, published between 2014 and 2022. Research gaps include 1) absence of other sleep health domains other than duration which is predicated on the included studies using a limited set of sleep outcome measures rather than a more comprehensive measurement strategy that align with the multifaceted domains of sleep health, and 2) inconsistent terminology and/or absent conceptual and operational definitions of subjective sleep reports. The findings highlight the multilevel SDoH that influence adolescent sleep health, underscoring the need for more comprehensive research. Such efforts will facilitate the development of interventions focused on fostering optimal adolescent sleep health this populations.
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Affiliation(s)
- Misol Kwon
- University of Pennsylvania Perelman School of Medicine, Division of Sleep Medicine, Philadelphia, PA, USA; University of Pennsylvania School of Nursing, Philadelphia, PA, USA.
| | - Shayleigh Dickson Page
- University of Pennsylvania Perelman School of Medicine, Division of Sleep Medicine, Philadelphia, PA, USA; University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Ariel A Williamson
- University of Oregon, The Ballmer Institute for Children's Behavioral Health, Portland, OR, USA
| | - Sherry Morgan
- University of Pennsylvania Libraries, Philadelphia, PA, USA
| | - Amy M Sawyer
- University of Pennsylvania Perelman School of Medicine, Division of Sleep Medicine, Philadelphia, PA, USA; University of Pennsylvania School of Nursing, Philadelphia, PA, USA; Corporal Michael J. Crescenz Veteran Affairs Medical Center, Philadelphia, PA, USA
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17
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Hunt ET, Brazendale K, Kelder SH, Lanza KL, Mantey DS, Cristol B, Crouch EL, Schroeder K, Hoelscher DM. Sleep, Screen Behaviors, and Adverse Childhood Experiences: A Cross-Sectional Study of U.S. Children and Adolescents. JOURNAL OF CHILD & ADOLESCENT TRAUMA 2024; 17:1169-1176. [PMID: 39686934 PMCID: PMC11646242 DOI: 10.1007/s40653-024-00653-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 08/02/2024] [Indexed: 12/18/2024]
Abstract
To examine the associations between adverse childhood experiences (ACEs) and children's obesogenic behaviors (meeting recommendations for sleep duration and screen time) in a representative sample of U.S. children and adolescents. This study assessed data from the 2019-2020 National Survey of Children's Health. Separate multinomial logistic regressions examined the likelihood of failing to meet sleep and screen time recommendations given individual and cumulative ACE scores. 15,581 children (48% female, 32% non-White) experienced one ACE, representing 32% of the analyzed sample. Parents reported financial hardship as the most prevalent ACE (48%). After adjusting for child race/ethnicity, sex of the child, highest education in the household, and child age, we found that participants with four or more ACEs were (1) age-specific sleep recommendations compared with participants with zero ACEs (OR 1.96; 95%CI = 1.64-2.35), and (2) more likely to fall short of meeting screen use recommendations compared with participants with zero ACEs (OR 1.61; 95%CI = 1.26-2.07). U.S. children and adolescents who have experienced four or more ACEs are significantly more likely to fall short of sleep and screen time recommendations compared to their counterparts who experienced zero ACEs. Given the strong associations between ACEs and health outcomes in adulthood, screening for ACEs may better inform practitioners when attempting to improve youth health outcomes.
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Affiliation(s)
- Ethan T. Hunt
- Michael and Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1616 Guadalupe St. Suite 6.316C, Austin, TX 78701 USA
| | - Keith Brazendale
- Department of Health Sciences, University of Central Florida, Orlando, FL USA
| | - Steven H. Kelder
- Michael and Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1616 Guadalupe St. Suite 6.316C, Austin, TX 78701 USA
| | - Kevin L. Lanza
- Michael and Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1616 Guadalupe St. Suite 6.316C, Austin, TX 78701 USA
| | - Dale S. Mantey
- Michael and Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1616 Guadalupe St. Suite 6.316C, Austin, TX 78701 USA
| | - Benjamin Cristol
- Michael and Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1616 Guadalupe St. Suite 6.316C, Austin, TX 78701 USA
| | - Elizabeth L. Crouch
- Department of Health Services Policy and Management, University of South Carolina, Columbia, SC USA
| | - Krista Schroeder
- Department of Nursing, Temple University College of Public Health, Philadelphia, PA USA
| | - Deanna M. Hoelscher
- Michael and Susan Dell Center for Healthy Living, University of Texas Health Science Center at Houston (UTHealth) School of Public Health in Austin, 1616 Guadalupe St. Suite 6.316C, Austin, TX 78701 USA
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18
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Frueh L, Sharma R, Sheffield PE, Clougherty JE. Community violence and asthma: A review. Ann Allergy Asthma Immunol 2024; 133:641-648.e12. [PMID: 39038705 DOI: 10.1016/j.anai.2024.07.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 06/28/2024] [Accepted: 07/11/2024] [Indexed: 07/24/2024]
Abstract
Over the past 2 decades, epidemiologic studies have identified significant associations between exposure to violence, as a psychosocial stressor, and the incidence or exacerbation of asthma. Across diverse populations, study designs, and measures of community violence, researchers have consistently identified adverse associations. In this review, the published epidemiologic evidence is summarized with special attention to research published in the last 5 years and seminal papers. Hypothesized mechanisms for the direct effects of violence exposure and for how such exposure affects susceptibility to physical agents (eg, air pollution and extreme temperature) are discussed. These include stress-related pathways, behavioral mechanisms, and epigenetic mechanisms. Finally, clinical implications and recommendations are discussed.
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Affiliation(s)
- Lisa Frueh
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania.
| | - Rachit Sharma
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
| | - Perry E Sheffield
- Departments of Environmental Medicine and Climate Science and Public Health and Pediatrics, Mount Sinai Icahn School of Medicine, New York, New York
| | - Jane E Clougherty
- Department of Environmental and Occupational Health, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania
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19
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Michael C, Taxali A, Angstadt M, McCurry KL, Weigard A, Kardan O, Molloy MF, Toda-Thorne K, Burchell L, Dziubinski M, Choi J, Vandersluis M, Hyde LW, Heitzeg MM, Sripada C. Somatomotor disconnection links sleep duration with socioeconomic context, screen time, cognition, and psychopathology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.10.29.620865. [PMID: 39553993 PMCID: PMC11565764 DOI: 10.1101/2024.10.29.620865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/19/2024]
Abstract
Background Sleep is critical for healthy brain development and emotional wellbeing, especially during adolescence when sleep, behavior, and neurobiology are rapidly evolving. Theoretical reviews and empirical research have historically focused on how sleep influences mental health through its impact on higher-order brain systems. No studies have leveraged data-driven network neuroscience methods to uncover interpretable, brain-wide signatures of sleep duration in adolescence, their socio-environmental origins, or their consequences for cognition and mental health. Methods Here, we implement graph theory and component-based predictive modeling to examine how a multimodal index of sleep duration is associated with intrinsic brain architecture in 3,173 youth (11-12 years) from the Adolescent Brain Cognitive DevelopmentSM Study. Results We demonstrate that network integration/segregation exhibit a strong, generalizable multivariate association with sleep duration. We next identify a single component of brain architecture centered on a single network as the dominant contributor of this relationship. This component is characterized by increasing disconnection of a lower-order system - the somatomotor network - from other systems, with shorter sleep duration. Finally, greater somatomotor disconnection is associated with lower socioeconomic resources, longer screen times, reduced cognitive/academic performance, and elevated externalizing problems. Conclusions These findings reveal a novel neural signature of shorter sleep in adolescence that is intertwined with environmental risk, cognition, and psychopathology. By robustly elucidating the key involvement of an understudied brain system in sleep, cognition, and psychopathology, this study can inform theoretical and translational research directions on sleep to promote neurobehavioral development and mental health during the adolescent transition.
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Affiliation(s)
- Cleanthis Michael
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
| | - Aman Taxali
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Mike Angstadt
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Alexander Weigard
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Omid Kardan
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - M. Fiona Molloy
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Lily Burchell
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Maria Dziubinski
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Jason Choi
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | | | - Luke W. Hyde
- Department of Psychology, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center at the Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Mary M. Heitzeg
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - Chandra Sripada
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
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20
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Thompson MJ, McWood LM, Buckhalt JA, El-Sheikh M. From Counting Dollars to Counting Sheep: Exploring Simultaneous Change in Economic Well-Being and Sleep among African American Adolescents. J Racial Ethn Health Disparities 2024:10.1007/s40615-024-02212-9. [PMID: 39436569 DOI: 10.1007/s40615-024-02212-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2024] [Revised: 10/10/2024] [Accepted: 10/11/2024] [Indexed: 10/23/2024]
Abstract
In the U.S.A., Black/African American adolescents disproportionately experience short and poor-quality sleep, and there is little understanding of why some experience decrements or improvements in sleep over time. Toward conducting culturally specific research and identifying processes that uniquely explain variability within a racial/ethnic group, we utilized a within-group design to examine socioeconomic status (SES) as a predictor of Black adolescents' sleep. Few studies have examined change-on-change processes in sleep over time. Contributing to the literature in novel ways, we assessed the predictive effect of change in SES over one year on changes in four actigraphy-derived sleep parameters over the same time period. Participants were 218 Black adolescents (Time 1: Mage = 17.09 years; 54.6% female) and their mothers from socioeconomically diverse backgrounds. Adolescents participated in two-waves of data collection spaced approximately one year apart. At each wave, we assessed economic well-being (used to index SES) and sleep using 7 nights of actigraphy from which we derived measures of sleep duration (minutes) and quality (efficiency, long-wake episodes, activity). Latent difference score analyses revealed that adolescents experiencing increases in SES over one year exhibited decreases in both long-wake episodes and sleep activity over one year. Findings suggest that individual differences in change in SES explain individual differences in change in adolescents' sleep quality. Notably, findings highlight the utility of within-group designs for identifying culturally specific processes that predict improvements in sleep quality in a sample at disproportionate risk for sleep and health disparities.
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Affiliation(s)
- Morgan J Thompson
- Department of Human Development & Family Science, Auburn University, 203 Spidle Hall, Auburn, AL, 36849-5214, USA
| | | | - Joseph A Buckhalt
- Department of Human Development & Family Science, Auburn University, 203 Spidle Hall, Auburn, AL, 36849-5214, USA
| | - Mona El-Sheikh
- Department of Human Development & Family Science, Auburn University, 203 Spidle Hall, Auburn, AL, 36849-5214, USA.
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21
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Garbers S, Ancheta AJ, Gold MA, Maier M, Bruzzese JM. Sleeping Healthy, Living Healthy: Using Iterative, Participatory Processes to Develop and Adapt an Integrated Sleep Hygiene/Mind-Body Integrative Health Intervention for Urban Adolescents. Health Promot Pract 2024; 25:865-875. [PMID: 37491898 PMCID: PMC10808277 DOI: 10.1177/15248399231184453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Racial and ethnic minority adolescents living in urban settings experience sleep disparities. Few interventions have been developed to address these disparities. Guided by principles of participatory design and inclusion, our team developed a novel intervention that combined sleep hygiene education with mind-body integrative health (MBIH) practices to improve sleep quality among adolescents in New York City. The goal of this article is to describe our iterative development and design process, the final product, and future directions. Our participatory approach incorporated information from formative work with adolescents having lived experience, practitioners, and syntheses of published literature. The final intervention-Sleeping Healthy, Living Healthy-consists of six, 40-minute group sessions and one 20-minute individual session designed for high school students. Each session has a set of learning objectives, combining instruction, group activities, and discussions on sleep hygiene and MBIH topics. Our manualized intervention includes handouts created by a graphic design team that served as a review and reminder for home practice. We describe intervention implementation to two unique cohorts and detail our methods used to fine-tune the intervention between cohorts. Our partnership with and insights from both adolescents and practitioners serve as a guide for researchers aiming to use participatory methods to develop interventions to decrease health disparities in specific populations.
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Affiliation(s)
- Samantha Garbers
- Columbia University Mailman School of Public Health, New York, NY, USA
| | - April J. Ancheta
- University of Pennsylvania, Philadelphia, PA, USA
- Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Melanie A. Gold
- Columbia University Mailman School of Public Health, New York, NY, USA
- NewYork-Presbyterian, New York, NY USA
| | - Malia Maier
- Columbia University Mailman School of Public Health, New York, NY, USA
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22
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Gong Z, Guo Y, Fan S, Sun X, Wu Y. Examining the influence of problematic internet use on sleep quality in Chinese adolescents: a study using the extended Stressor-Strain-Outcome (SSO) model. Front Psychol 2024; 15:1447852. [PMID: 39205986 PMCID: PMC11350388 DOI: 10.3389/fpsyg.2024.1447852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Accepted: 08/05/2024] [Indexed: 09/04/2024] Open
Abstract
Objective This study aims to explore how problematic internet use may affect the sleep quality of Chinese adolescents using the extended Stressor-Strain-Outcome (SSO) model. The model posits that stressors indirectly influence behavioral outcomes through the mediation of emotional and physiological strain responses. Method A sample of 4,365 adolescents in China participated in this study, which utilized questionnaires and other methods to develop a novel SSO model. In this model, problematic internet use was considered as the stressor, anxiety as an indicator of tension, and sleep quality as the ultimate outcome. Family health was introduced as a moderating variable. Results The study found that problematic internet use can significantly and positively predict adolescents' anxiety (β = 0.132, p < 0.001) and sleep quality (β = 0.362, p < 0.001). Furthermore, anxiety was identified as a significant mediating factor between problematic internet use and sleep quality [Effect = 0.066, p < 0.05, 95% CI (0.014, -0.0018)]. Family health was observed to have a moderating effect on the relationship between problematic internet use and anxiety (β = -0.075, p < 0.001). Conclusion The research indicates that problematic internet use not only directly increases individual anxiety as a stressor but also indirectly impacts sleep quality by exacerbating anxiety. However, a positive family health status can effectively moderate the adverse impact of problematic internet use on anxiety.
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Affiliation(s)
- Zhuliu Gong
- School of Journalism and Communication, Chongqing University, Chongqing, China
| | - Yi Guo
- School of Journalism and Communication, Chongqing University, Chongqing, China
| | - Siyuan Fan
- Department of Preventive Medicine, Yanjing Medical College, Capital Medical University, Beijing, China
| | - Xinying Sun
- School of Public Health, Peking University, Beijing, China
| | - Yibo Wu
- School of Public Health, Peking University, Beijing, China
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23
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Cook G, Carter B, Wiggs L, Southam S. Parental sleep-related practices and sleep in children aged 1-3 years: a systematic review. J Sleep Res 2024; 33:e14120. [PMID: 38131158 DOI: 10.1111/jsr.14120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/01/2023] [Accepted: 11/23/2023] [Indexed: 12/23/2023]
Abstract
The current systematic review sought to identify the relationship between the range of different parental sleep-related practices that had been explored in relations to child sleep outcomes in children aged 1-3 years. A systematic literature review was carried out in CINAHL, The Cochrane Library, PsycArticles, PsycInfo, PubMed and Web of Science, as well as relevant grey literature in August 2022 using the terms; population (children, aged 1-3 years), exposure (parental sleep-related practice) and outcome (child sleep). Any quantitative study published between 2010 and 2022 that explored the relationship between parental sleep-related practices and the sleep of children aged 1-3 years were included. The Mixed Methods Appraisal Tool was employed to quality appraise included studies and results were narratively synthesised. In all, 16 longitudinal and cross-sectional quantitative studies met inclusion criteria. Parental presence or physical involvement, as well as broader parental practices including using screens or devices at bedtime and night-time breastfeeding were all related to poorer child sleep outcomes. Consistent and relaxing routines, sleeping in a cot, and spending all night in their own sleep location were associated with better child sleep outcomes. Acknowledging the plethora of diverse parental sleep-related practices, which may have varying relationships with child sleep outcomes, could be usefully considered in theoretical models and to inform clinical practice. Issues of definitional and measurement ambiguity are highlighted and discussed.
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Affiliation(s)
- Georgia Cook
- Centre for Psychological Research, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
| | - Bernie Carter
- Faculty of Health, Social Care and Medicine, Edge Hill University, Lancashire, UK
| | - Luci Wiggs
- Centre for Psychological Research, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
| | - Shannon Southam
- Centre for Psychological Research, Faculty of Health and Life Sciences, Oxford Brookes University, Oxford, UK
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Qi X, Pan C, Yang J, Liu L, Hao J, Wen Y, Zhang N, Wei W, Cheng B, Cheng S, Zhang F. Disadvantaged social status contributed to sleep disorders: An observational and genome-wide gene-environment interaction analysis. Sleep Health 2024; 10:402-409. [PMID: 38772848 DOI: 10.1016/j.sleh.2024.03.003] [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: 07/31/2023] [Revised: 01/23/2024] [Accepted: 03/13/2024] [Indexed: 05/23/2024]
Abstract
BACKGROUND Sleep is a natural and essential physiological need for individuals. Our study aimed to research the associations between accumulated social risks and sleep disorders. METHODS In this study, we came up with a polysocial risk score (PsRS), which is a cumulative social risk index composed of 13 social determinants of health. This research includes 239,165 individuals with sleep disorders and social determinants of health data from the UK Biobank cohort. First, logistic regression models were performed to examine the associations of social determinants of health and sleep disorders, including chronotype, narcolepsy, insomnia, snoring, short and long sleep duration. Then, PsRS was calculated based on statistically significant social determinants of health for each sleep disorder. Third, a genome-wide gene-environment interaction study was conducted to explore the interactions between single-nucleotide polymorphisms and PsRS in relation to sleep disorders. RESULTS Higher PsRS scores were associated with worse sleep status, with the adjusted odds ratio (OR) ranging from 1.10 (95% Confidence interval [CI]: 1.09-1.11) to 1.29 (95% CI: 1.27-1.30) for sleep disorders. Emotional stress (OR = 1.36, 95% CI: 1.28-1.43) and not in paid employment (OR = 2.62, 95% CI: 2.51-2.74) were found to have significant contributions for sleep disorders. Moreover, multiple single-nucleotide polymorphisms were discovered to have interactions with PsRS, such as FRAS1 (P = 2.57 × 10-14) and CACNA1A (P = 8.62 × 10-14) for narcolepsy, and ACKR3 (P = 1.24 × 10-8) for long sleep. CONCLUSIONS Our findings suggested that cumulative social risks was associated with sleep disorders, while the interactions between genetic susceptibility and disadvantaged social status are risk factors for the development of sleep disorders.
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Affiliation(s)
- Xin Qi
- Precision medicine center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Chuyu Pan
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Jin Yang
- Precision medicine center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China; Cancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China; Department of Medical Oncology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Li Liu
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Jingcan Hao
- Medical department, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Yan Wen
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Na Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Wenming Wei
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Bolun Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Shiqiang Cheng
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, PR China.
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25
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Wang J, Gueye-Ndiaye S, Castro-Diehl C, Bhaskar S, Li L, Tully M, Rueschman M, Owens J, Gold DR, Chen J, Phipatanakul W, Adamkiewicz G, Redline S. Associations between indoor fine particulate matter (PM 2.5) and sleep-disordered breathing in an urban sample of school-aged children. Sleep Health 2024:S2352-7218(24)00133-5. [PMID: 39095254 PMCID: PMC11785818 DOI: 10.1016/j.sleh.2024.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 05/12/2024] [Accepted: 06/25/2024] [Indexed: 08/04/2024]
Abstract
OBJECTIVES Environmental risk factors may contribute to sleep-disordered breathing. We investigated the association between indoor particulate matter ≤2.5µm in aerodynamic diameter (PM2.5) and sleep-disordered breathing in children in an urban US community. METHODS The sample consisted of children aged 6-12years living in predominantly low-income neighborhoods in Boston, Massachusetts. Indoor PM2.5 was measured in participants' main living areas for 7days using the Environmental Multipollutant Monitoring Assembly device. High indoor PM2.5 exposure was defined as greater than the sample weekly average 80th percentile level (≥15.6 μg/m3). Sleep-disordered breathing was defined as an Apnea-Hypopnea-Index (AHI) or Oxygen-Desaturation-Index (ODI) (≥3% desaturation) of ≥5 events/hour. Habitual loud snoring was defined as caregiver-report of loud snoring (most or all the time each week) over the past 4weeks. We examined the associations of PM2.5 with sleep-disordered breathing or snoring using logistic regression adjusting for potential confounders. RESULTS The sample included 260 children (mean age 9.6years; 41% female), with 32% (n = 76) classified as having sleep-disordered breathing. In a logistic regression model adjusted for socioeconomics and seasonality, children exposed to high indoor PM2.5 levels (n = 53) had a 3.53-fold increased odds for sleep-disordered breathing (95%CI: 1.57, 8.11, p = .002) compared to those with lower indoor PM2.5. This association persisted after additional adjustments for physical activity, outdoor PM2.5, environmental tobacco smoke, and health characteristics. Similar associations were observed for snoring and indoor PM2.5. CONCLUSIONS: Children with higher indoor PM2.5 exposure had greater odds of sleep-disordered breathing and habitual loud snoring, suggesting that indoor air quality contributes to sleep disparities.
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Affiliation(s)
- Jing Wang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Seyni Gueye-Ndiaye
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA; Division of Pulmonary and Sleep Medicine, Boston Children's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Cecilia Castro-Diehl
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Sanjana Bhaskar
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Le Li
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA
| | - Meg Tully
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Michael Rueschman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Judith Owens
- Division of Neurology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Diane R Gold
- Harvard Medical School, Boston, Massachusetts, USA; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jarvis Chen
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Wanda Phipatanakul
- Harvard Medical School, Boston, Massachusetts, USA; Division of Allergy and Immunology, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Gary Adamkiewicz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, Massachusetts, USA; Harvard Medical School, Boston, Massachusetts, USA.
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26
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Williamson AA, Uwah EA, Min J, Zhang X, Griffis H, Cielo CM, Tapia IE, Fiks AG, Mindell JA. Diagnosis of sleep disorders in child healthcare settings. Sleep Med 2024; 119:80-87. [PMID: 38657437 PMCID: PMC11180578 DOI: 10.1016/j.sleep.2024.04.023] [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: 03/04/2024] [Revised: 04/16/2024] [Accepted: 04/17/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVES Sleep disorders impact at least 10 % of children, pose risks to overall wellbeing, and are key targets of preventive interventions. The objectives of this study were to describe the prevalence of pediatric sleep disorder diagnoses across sociodemographic characteristics and co-occurring conditions, and to explore potential sociodemographic disparities. METHODS Cross-sectional analysis of 12,394,902 children (0-17 years; 50.9 % Medicaid-insured) in the 2017 MarketScan database. Prevalence was assessed utilizing ICD-10 codes, with multivariate logistic regressions examining disparities (insurance coverage; race and ethnicity in Medicaid-insured) for diagnoses in ≥0.10 % of children. RESULTS The prevalence of sleep disorder diagnoses was 2.36 %. The most common diagnoses were obstructive sleep disordered breathing (oSDB, 1.17 %), unspecified sleep disorders (0.64 %), insomnia (0.52 %), and other SDB (0.10 %), with <0.10 % for all other diagnoses. Insomnia and parasomnias diagnoses were much lower than diagnostic estimates. Sleep diagnoses were more prevalent in Medicaid versus commercially insured youth, 2-5-year-olds, and in children with co-occurring medical, neurodevelopmental, or behavioral health conditions. Girls and boys were generally equally likely to be diagnosed with any sleep disorder. In Medicaid-insured children, white children were more likely to have any sleep diagnosis compared to all other racial and ethnic groups. Black/African American children were more likely than white children to have oSDB. CONCLUSIONS Compared to diagnostic estimates, claims data suggest sleep disorders are under-diagnosed, with notable sociodemographic disparities. Findings suggest a need for clinical resources to identify and address sleep disorders and to understand biases potentially driving disparities, given that sleep is a modifiable determinant of child wellbeing.
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Affiliation(s)
- Ariel A Williamson
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA; The Ballmer Institute for Children's Behavioral Health, University of Oregon, Portland, OR, USA.
| | - Eberechukwu A Uwah
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jungwon Min
- Data Science and Biostatistics Unit, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Xuemei Zhang
- Data Science and Biostatistics Unit, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Heather Griffis
- Data Science and Biostatistics Unit, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Christopher M Cielo
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Ignacio E Tapia
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA; Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Alexander G Fiks
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Jodi A Mindell
- Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, USA; University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA; Department of Psychology, Saint Joseph's University, Philadelphia, PA, USA
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27
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Magro-Montañés B, Pabón-Carrasco M, Romero-Castillo R, Ponce-Blandón JA, Jiménez-Picón N. The relationship between neighborhood social capital and health from a biopsychosocial perspective: A systematic review. Public Health Nurs 2024; 41:845-861. [PMID: 38639208 DOI: 10.1111/phn.13323] [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: 01/23/2024] [Accepted: 03/21/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND The Social Determinants of Health (SDH) influence the health of people throughout their lives, and can be positive, protective or risk factors for the population and, in turn, biological, psychological, or social. The social environment conditions the health status of the neighborhood, population, and social group, which can be a health asset due to its strong psychosocial and socio-cultural influence. Social capital is a community asset of the healthy neighborhood that must be known in order to promote community health. OBJECTIVES The objective is to determine the relationship between social capital and neighborhood biopsychosocial health. METHODS A systematic review was conducted based on PRISMA: PubMed, Wos, Scopus, Embase, and Cochrane databases. The search was conducted from January to March 2023. Three authors independently extracted data using a structured form. RESULTS Out of 527 records, 17 results passed the inclusion and exclusion criteria. The positive and statistically significant relationship between neighborhood social capital (NSC) and the physical and mental health of neighbors is confirmed, that is, the higher the NSC, the more exercise, better oral health in children and physical health in pregnant women, lower tobacco consumption and lower prevalence of human immunodeficiency virus. At the psychological level, greater NSC leads to better mental health, mental well-being, life satisfaction, quality of life, self-perceived health, higher cognitive function, and less depression. CONCLUSIONS In conclusion, social capital is an important SDH and health asset that influences neighborhood biopsychosocial health and should be known and researched for health promotion in community settings. More evidence is needed to support the results obtained.
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Affiliation(s)
- Beatriz Magro-Montañés
- Hospital de Cruces, Bilbao, Spain
- Red Cross Nursing University Centre, University of Seville, Seville, Spain
| | - Manuel Pabón-Carrasco
- Faculty of Nursing, Physiotherapy and Podiatry, Department of Nursing, University of Seville, Seville, Spain
| | - Rocío Romero-Castillo
- Faculty of Nursing, Physiotherapy and Podiatry, Department of Nursing, University of Seville, Seville, Spain
| | - José Antonio Ponce-Blandón
- Faculty of Nursing, Physiotherapy and Podiatry, Department of Nursing, University of Seville, Seville, Spain
| | - Nerea Jiménez-Picón
- Faculty of Nursing, Physiotherapy and Podiatry, Department of Nursing, University of Seville, Seville, Spain
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28
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Martin L, White MP, Elliott LR, Grellier J, Astell-Burt T, Bratman GN, Lima ML, Nieuwenhuijsen M, Ojala A, Roiko A, van den Bosch M, Fleming LE. Mechanisms underlying the associations between different types of nature exposure and sleep duration: An 18-country analysis. ENVIRONMENTAL RESEARCH 2024; 250:118522. [PMID: 38403148 DOI: 10.1016/j.envres.2024.118522] [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: 06/27/2023] [Revised: 01/17/2024] [Accepted: 02/17/2024] [Indexed: 02/27/2024]
Abstract
Whilst green space has been linked to healthier sleep outcomes, the roles of specific types of nature exposure, potential underlying mechanisms, and between-country variations in nature-sleep associations have received little attention. Drawing on cross-sectional survey data from an 18-country sample of adults (N = 16,077) the current study examined: 1) the relative associations between six different types of nature exposure (streetscape greenery, blue view from home, green space within 1 km, coast within 1 km, green space visits, blue space visits) and insufficient sleep (<6 h vs. 7-10 h per day); 2) whether these relationships were mediated by better mental wellbeing and/or physical activity; and 3) the consistency of these pathways among the different countries. After controlling for covariates, neighbourhood nature measures (green space, coast within 1 km) were not significantly associated with insufficient sleep; but nature visible from home (streetscape greenery, blue views) and recreational visits to green and blue spaces were each associated with less insufficient sleep. Significant nature-sleep associations were mediated, to varying degrees, by better mental wellbeing, but not self-reported physical activity. Country-level heterogeneity in the strength of nature-sleep associations was observed. Increasing nature visible from the home may represent a promising strategy for promoting healthier sleep duration at the population level, whilst nature-based interventions encouraging individuals to spend time in local green/blue spaces may be an appropriate target to assist individuals affected by insufficient sleep.
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Affiliation(s)
- Leanne Martin
- European Centre for Environment and Human Health, University of Exeter Medical School, UK.
| | - Mathew P White
- European Centre for Environment and Human Health, University of Exeter Medical School, UK; Cognitive Science HUB & Urban and Environmental Psychology Group, University of Vienna, Austria
| | - Lewis R Elliott
- European Centre for Environment and Human Health, University of Exeter Medical School, UK
| | - James Grellier
- European Centre for Environment and Human Health, University of Exeter Medical School, UK; Institute of Psychology, Jagiellonian University, Krakow, Poland
| | - Thomas Astell-Burt
- Population Wellbeing and Environment Research Lab (PowerLab), NSW, Australia; School of Health and Society, Faculty of Arts, Social Sciences and Humanities, University of Wollongong, Wollongong, Australia
| | - Gregory N Bratman
- School of Environmental and Forest Sciences, University of Washington, USA
| | - Maria L Lima
- Department of Social and Organizational Psychology, ISCTE - University Institute of Lisbon, Portugal
| | - Mark Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ann Ojala
- Natural Resources Institute Finland (Luke), Finland
| | - Anne Roiko
- School of Pharmacy & Medical Sciences, Griffith University, Australia
| | - Matilda van den Bosch
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; Natural Resources Institute Finland (Luke), Finland; School of Population and Public Health, University of British Columbia, Canada; Department of Forest and Conservation Sciences, University of British Columbia, Canada
| | - Lora E Fleming
- European Centre for Environment and Human Health, University of Exeter Medical School, UK
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Carpena MX, Fraga BB, Martins-Silva T, Salatino-Oliveira A, Genro JP, Polanczyk GV, Zeni C, Schmitz M, Chazan R, Hutz MH, Rohde LA, Tovo-Rodrigues L. Insomnia Polygenic Component on Attention Deficit-Hyperactivity Disorder: Exploring this Association Using Genomic Data from Brazilian Families. Sleep Sci 2024; 17:e194-e198. [PMID: 38846582 PMCID: PMC11152637 DOI: 10.1055/s-0043-1777787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Accepted: 09/11/2023] [Indexed: 06/09/2024] Open
Abstract
Introduction Insomnia is highly prevalent among individuals with Attention-Deficit/Hyperactivity Disorder (ADHD). However, the biological mechanisms shared between both conditions is still elusive. We aimed to investigate whether insomnia's genomic component is able to predict ADHD in childhood and adolescence. Methods A Brazilian sample of 259 ADHD probands and their biological parents were included in the study. Their genomic DNA genotypes were used to construct the polygenic risk score for insomnia (Insomnia PRS), using the largest GWAS summary statistics as a discovery sample. The association was tested using logistic regression, under a case-pseudocontrol design. Results Insomnia PRS was nominally associated with ADHD (OR = 1.228, p = 0.022), showing that the alleles that increase the risk for insomnia also increase the risk for ADHD. Discussion Our results suggest that genetic factors associated with insomnia may play a role in the ADHD genetic etiology, with both phenotypes likely to have a shared genetic mechanism.
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Affiliation(s)
- Marina Xavier Carpena
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
- Postgraduate Program in Developmental Disorders, Universidade Presbiteriana Mackenzie, São Paulo, SP, Brazil
| | - Brenda Barbon Fraga
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
| | - Thais Martins-Silva
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
- Human Development and Violence Research Centre (DOVE), Federal University of Pelotas, Pelotas, RS, Brazil
| | | | - Júlia Pasqualini Genro
- Postgraduate Program in Biosciences, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, RS, Brazil
| | - Guilherme V. Polanczyk
- Department of Psychiatry, Faculdade de Medicina (FMUSP), Universidade de São Paulo, São Paulo, SP, Brazil
| | - Cristian Zeni
- Health Science Center Houston, University of Texas, Houston, Texas, United States
| | - Marcelo Schmitz
- ADHD Outpatient Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Rodrigo Chazan
- Postgraduate Program in Psychiatry and Behavioral Sciences, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Mara Helena Hutz
- Department of Genetics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Luis Augusto Rohde
- ADHD Outpatient Program, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
- National Institute of Developmental Psychiatry, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil
| | - Luciana Tovo-Rodrigues
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS, Brazil
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30
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Saelee R, April-Sanders AK, Bird HR, Canino GJ, Duarte CS, Lugo-Candelas C, Suglia SF. Self-reported neighborhood stressors and sleep quality among Puerto Rican young adults. Sleep Health 2024; 10:295-301. [PMID: 38570224 PMCID: PMC11162948 DOI: 10.1016/j.sleh.2024.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 01/15/2024] [Accepted: 01/23/2024] [Indexed: 04/05/2024]
Abstract
OBJECTIVE To examine the association between changes in self-reported neighborhood stressors and sleep quality and determine whether this varied by sociocultural context among Puerto Rican young adults. METHODS Data come from the Boricua Youth Study Health Assessment, a sample of Puerto Rican young adults from San Juan, Puerto Rico, and South Bronx, New York (n = 818; mean age=22.9years). Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Neighborhood social stressors (disorder, social cohesion, and safety) were parent-reported in childhood and self-reported in young adulthood and categorized into: low in childhood/young adulthood (reference group), high in childhood/low in young adulthood, low in childhood/high in young adulthood, and high in childhood/young adulthood. Sociocultural context was based on participant residence during childhood (San Juan vs. South Bronx). RESULTS Adjusting for sociodemographic factors, living with high neighborhood stressors in both childhood and young adulthood (prevalence ratios=1.30, 95% CI: 1.01, 1.66) was associated with overall poor sleep (PSQI score >5). Among PSQI components, living with high neighborhood stressors in young adulthood only or in both time periods was associated with worse subjective sleep quality and daytime dysfunction. Additionally, there were various associations between the neighborhood stressor measures and PSQI components. Results did not differ by sociocultural context. CONCLUSION Findings suggest that living with high levels of neighborhood stressors during childhood and young adulthood may have a cumulative adverse impact on sleep quality in young adulthood.
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Affiliation(s)
- Ryan Saelee
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA.
| | - Ayana K April-Sanders
- Department of Statistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ
| | - Hector R Bird
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York City, New York, USA
| | - Glorisa J Canino
- Behavioral Sciences Research Institute, University of Puerto Rico Medical School, San Juan, Puerto Rico
| | - Cristiane S Duarte
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York City, New York, USA
| | - Claudia Lugo-Candelas
- Department of Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York City, New York, USA
| | - Shakira F Suglia
- Department of Epidemiology, Emory University, Atlanta, Georgia, USA
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31
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Cai T, Yang B, Zhou Z, Ip KI, Adam EK, Haase CM, Qu Y. Longitudinal associations between neighborhood safety and adolescent adjustment: The moderating role of affective neural sensitivity. Dev Cogn Neurosci 2024; 67:101380. [PMID: 38626612 PMCID: PMC11035046 DOI: 10.1016/j.dcn.2024.101380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 04/07/2024] [Accepted: 04/11/2024] [Indexed: 04/18/2024] Open
Abstract
Research on social determinants of health has highlighted the influence of neighborhood characteristics (e.g., neighborhood safety) on adolescents' health. However, it is less clear how changes in neighborhood environments play a role in adolescent development, and who are more sensitive to such changes. Utilizing the first three waves of data from the Adolescent Brain Cognitive Development (ABCD) project (N = 7932, M (SD) age = 9.93 (.63) years at T1; 51% boys), the present study found that increases in neighborhood safety were associated with decreased adolescent externalizing symptoms, internalizing symptoms, but not sleep disturbance over time, controlling for baseline neighborhood safety. Further, adolescents' insula and anterior cingulate cortex (ACC) reactivity to positive emotional stimuli moderated the association between changes in neighborhood safety and adolescent adjustment. Among youth who showed higher, but not lower, insula and ACC reactivity to positive emotion, increases in neighborhood safety were linked with better adjustment. The current study contributes to the differential susceptibility literature by identifying affective neural sensitivity as a marker of youth's susceptibility to changes in neighborhood environment. The findings highlight the importance of neighborhood safety for youth during the transition to adolescence, particularly for those with heightened affective neural sensitivity.
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Affiliation(s)
- Tianying Cai
- School of Education and Social Policy, Northwestern University, Evanston, IL, United States; Institute of Child Development, University of Minnesota, Twin Cities, Minneapolis, MN, United States.
| | - Beiming Yang
- School of Education and Social Policy, Northwestern University, Evanston, IL, United States
| | - Zexi Zhou
- Department of Human Development and Family Sciences, University of Texas at Austin, Austin, TX, United States
| | - Ka I Ip
- Institute of Child Development, University of Minnesota, Twin Cities, Minneapolis, MN, United States
| | - Emma K Adam
- School of Education and Social Policy, Northwestern University, Evanston, IL, United States
| | - Claudia M Haase
- School of Education and Social Policy, Northwestern University, Evanston, IL, United States
| | - Yang Qu
- School of Education and Social Policy, Northwestern University, Evanston, IL, United States.
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32
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Hansen M, Simon KR, He X, Steele N, Thomas ML, Noble KG, Merz EC. Socioeconomic factors, sleep timing and duration, and amygdala resting-state functional connectivity in children. Front Psychiatry 2024; 15:1373546. [PMID: 38840942 PMCID: PMC11150855 DOI: 10.3389/fpsyt.2024.1373546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 05/08/2024] [Indexed: 06/07/2024] Open
Abstract
Introduction Reduced sleep health has been consistently linked with increased negative emotion in children. While sleep characteristics have been associated with neural function in adults and adolescents, much less is known about these associations in children while considering socioeconomic context. In this study, we examined the associations among socioeconomic factors, sleep duration and timing, and resting-state functional connectivity (rsFC) of the amygdala in children. Methods Participants were typically-developing 5- to 9-year-olds from socioeconomically diverse families (61% female; N = 94). Parents reported on children's weekday and weekend bedtimes and wake-up times, which were used to compute sleep duration and midpoint. Analyses focused on amygdala-anterior cingulate cortex (ACC) connectivity followed by amygdala-whole brain connectivity. Results Lower family income-to-needs ratio and parental education were significantly associated with later weekday and weekend sleep timing and shorter weekday sleep duration. Shorter weekday sleep duration was associated with decreased amygdala-ACC and amygdala-insula connectivity. Later weekend sleep midpoint was associated with decreased amygdala-paracingulate cortex and amygdala-postcentral gyrus connectivity. Socioeconomic factors were indirectly associated with connectivity in these circuits via sleep duration and timing. Discussion These results suggest that socioeconomic disadvantage may interfere with both sleep duration and timing, in turn possibly altering amygdala connectivity in emotion processing and regulation circuits in children. Effective strategies supporting family economic conditions may have benefits for sleep health and brain development in children.
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Affiliation(s)
- Melissa Hansen
- Department of Psychology, Colorado State University, Fort Collins, CO, United States
| | - Katrina R. Simon
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States
| | - Xiaofu He
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, United States
| | - Nick Steele
- Molecular, Cellular and Integrative Neuroscience, Colorado State University, Fort Collins, CO, United States
| | - Michael L. Thomas
- Department of Psychology, Colorado State University, Fort Collins, CO, United States
| | - Kimberly G. Noble
- Department of Biobehavioral Sciences, Teachers College, Columbia University, New York, NY, United States
| | - Emily C. Merz
- Department of Psychology, Colorado State University, Fort Collins, CO, United States
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Padmapriya N, Fogel A, Tan SYX, Goh CMJL, Tan SL, Chia A, Chu AHY, Chong YS, Tan KH, Chan SY, Yap F, Godfrey KM, Lee YS, Eriksson JG, Tan CS, Bernard JY, Müller-Riemenschneider F. The cross-sectional and prospective associations of parental practices and environmental factors with 24-hour movement behaviours among school-aged Asian children. Int J Behav Nutr Phys Act 2024; 21:27. [PMID: 38438945 PMCID: PMC10913559 DOI: 10.1186/s12966-024-01574-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 02/12/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND Parental practices and neighbourhood environmental factors may influence children's movement behaviours. We aimed to investigate the cross-sectional and prospective associations of parental practices and neighbourhood environmental factors with accelerometer-measured 24-hour movement behaviours (24 h-MBs) among school-aged children in Singapore. METHODS The Growing Up in Singapore Towards healthy Outcomes (GUSTO) study collected information on dimensions of parental practices and neighbourhood environment at age 5.5 years. Confirmatory factor analyses were performed to generate latent variables and used to compute overall parental practices [involvement in PA + support for PA + control of screen viewing context] and environmental scores [facilities for active play + active mobility facilitators + barriers*-1]. Children wore an accelerometer on their non-dominant wrist for seven consecutive days at ages 5.5 and 8 years. The R-package GGIR 2.6 was used to derive moderate-to-vigorous-intensity physical activity (MVPA), light-intensity physical activity (LPA), inactivity, and total-sleep (napping+night sleep) minutes per day. Associations were determined using compositional data analysis with multivariate linear regression models, taking into account potential confounders. RESULTS Among 425 children (48% girls, 59% Chinese), higher parental involvement in PA, parental support for PA and overall parental practices were associated with 24 h-MBs at ages 5.5 and 8 years, specifically with greater time spent in MVPA and less time being inactive relative to the remaining movement behaviours. The corresponding mean changes in the overall 24 h-MB for increasing parental practices from lowest to highest scores (- 2 to + 2 z-scores) indicated potential increases of up to 15-minutes in MVPA, 20-minutes in LPA, 5-minutes in sleep duration, and a reduction of 40-minutes in inactivity at age 5.5 years. At age 8 years, this could translate to approximately 15-minutes more of MVPA, 20-minutes more of LPA, a 20-minute reduction in sleep duration, and a 20-minute reduction in inactivity. Parental control of screen viewing contexts and neighbourhood environmental factors were not associated with 24 h-MBs. CONCLUSIONS Parental practices but not environmental factors were associated with higher MVPA and lower inactivity among Singaporean children, even at a later age. Further research may provide insights that support development of targeted public health strategies to promote healthier movement behaviours among children. STUDY REGISTRATION This study was registered on 4th August 2010 and is available online at ClinicalTrials.gov: NCT01174875.
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Affiliation(s)
- Natarajan Padmapriya
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Anna Fogel
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Sarah Yi Xuan Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | | | - Shuen Lin Tan
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Airu Chia
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Anne Hin Yee Chu
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Yap Seng Chong
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Kok Hian Tan
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
| | - Shiao-Yng Chan
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Fabian Yap
- KK Women's and Children's Hospital, Singapore, Singapore
- Duke-National University of Singapore, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
- NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore, Singapore
| | - Johan G Eriksson
- Department of Obstetrics & Gynaecology and Human Potential Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Department of General Practice and Primary Health Care, University of Helsinki and Folkhälsan Research Center, Helsinki, Finland
| | - Chuen Seng Tan
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
| | - Jonathan Y Bernard
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
- Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), Paris, F-75004, France
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
- Digital Health Center, Berlin Institute of Health, Charité-Universitätsmedizin Berlin, Berlin, Germany
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Hash JB, Walker AJ, Ward TM, Oxford ML, Spieker SJ. Trying to Do What's Best: Maternal Perspectives About Toddler Sleep Health Among an Underresourced Sample of Mothers With Diverse Racial and Ethnic Identities. J Pediatr Health Care 2024; 38:160-171. [PMID: 38429028 PMCID: PMC10987074 DOI: 10.1016/j.pedhc.2023.12.008] [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: 06/20/2023] [Revised: 11/29/2023] [Accepted: 12/03/2023] [Indexed: 03/03/2024]
Abstract
INTRODUCTION This study describes mothers' knowledge, attitudes, beliefs, and practices about their toddler's sleep health among an underresourced sample of mothers with diverse racial and ethnic identities. METHOD This was a descriptive qualitative study with 16 mothers and their 12- to 36-month-old child. Mothers completed a semistructured, audio-recorded interview about their toddler's sleep health. Data were analyzed using inductive content analysis on the basis of established methods. RESULTS Mothers self-identified as 18.8% Black, 43.8% White, 12.5% multiracial, 25.0% other race, and 37.5% Hispanic. Of the mothers, 80.0% reported a past year household income of ≤ $40,000. A core construct, "Trying to do What's Best," emerged from the interview data, and this construct included three domains: Getting Good Sleep, Getting Thrown Off, and Rolling With It. DISCUSSION Findings support future strengths-based and multilevel sleep health-promoting interventions.
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Semenza DC, Hamilton JL, Testa A, Jackson DB. Individual and cumulative firearm violence exposure: Implications for sleep among Black and American Indian/Alaska Native adults. Ann Epidemiol 2024; 91:18-22. [PMID: 38244953 DOI: 10.1016/j.annepidem.2024.01.006] [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: 10/13/2023] [Revised: 01/11/2024] [Accepted: 01/17/2024] [Indexed: 01/22/2024]
Abstract
PURPOSE We investigated the relationship between various forms of firearm violence exposure and sleep problems among nationally representative samples of Black (N = 3015) and American Indian and Alaska Native (AI/AN) (N = 527) adults, focusing on difficulties falling asleep, staying asleep, and waking too early. Survey data were collected in April and May 2023. METHODS We employed negative binomial regression models to analyze the associations between the different types of firearm violence exposure and sleep problems. We further examined associations between cumulative firearm violence exposure and sleep outcomes. RESULTS A substantial proportion of Black (59%) and AI/AN (56%) adults reported experiencing some form of firearm violence exposure. Being threatened with a firearm emerged as a consistent factor associated with sleep problems for both racial groups. Witnessing or hearing about shootings was linked to sleep problems in the Black sample, while cumulative firearm violence exposure was associated with all sleep problems in both groups. CONCLUSIONS Individual and cumulative firearm violence exposure is associated with increased sleep problems among Black and AI/AN adults.
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Affiliation(s)
- Daniel C Semenza
- Department of Sociology, Anthropology, and Criminal Justice, Rutgers University, Camden, NJ, USA; Department of Urban-Global Public Health, Rutgers University, Piscataway, NJ, USA; New Jersey Gun Violence Research Center, Rutgers University, Piscataway, NJ, USA.
| | | | - Alexander Testa
- Department of Management, Policy and Community Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Dylan B Jackson
- Department of Population, Family, and Reproductive Health, Bloomberg School of Public Health, Johns Hopkins University, Maryland, MD, USA
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Gorovoy S, Phan S, Begay TK, Valencia D, Hale L, Robbins R, Killgore WDS, Williamson AA, Grandner M. Neighborhood-level sleep health and childhood opportunities. Front Public Health 2024; 11:1307630. [PMID: 38375097 PMCID: PMC10875035 DOI: 10.3389/fpubh.2023.1307630] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 12/19/2023] [Indexed: 02/21/2024] Open
Abstract
Objectives Regional sleep differences may reflect other important indicators of health and well-being. Examining sleep health at the regional level can help inform policies to improve population health. We examined the relationship between neighborhood-level adult sleep health (modeled in this study via adult sleep duration) and other health metrics and multiple indicators of child-relevant opportunity. Methods Data were obtained from the "500 Cities" data collected by the CDC, including the proportion of the adult population in each tract that report obtaining at least 7 h of sleep. The Child Opportunity Index (COI) provides indices for "education," "health and environment," and "social and economic" domains, as well as a global score. When data were merged, 27,130 census tracts were included. Linear regression analyses examined COI associated with the proportion of the adult population obtaining 7 h of sleep. Results Adult sleep duration was associated with global COI, such that for each additional percent of the population that obtains ≥ 7 h of sleep, COI increases by 3.6 points (95%CI[3.57, 3.64]). Each component of COI was separately related to adult sleep duration. All associations were attenuated but significant in adjusted analyses. In stepwise analyses, sleep health via adult sleep duration emerged as the strongest correlate of global COI, accounting for 57.2% of the variance (p < 0.0001). Similarly, when stepwise analyses examined each component of COI as dependent variable, sleep health consistently emerged as the most substantial correlate (all p < 0.0001). Conclusion Community levels of sufficient sleep are associated with greater childhood opportunities, which itself is robustly associated with a wide range of health and economic outcomes. Future work can examine whether this association can develop into scalable interventions.
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Affiliation(s)
- Suzanne Gorovoy
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Sydney Phan
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Tommy K. Begay
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Dora Valencia
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Lauren Hale
- Department of Family, Population and Preventative Medicine, Stony Brook University, Stony Brook, NY, United States
| | | | - William D. S. Killgore
- SCAN Lab, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States
| | - Ariel A. Williamson
- Children’s Hospital of Philadelphia, Philadelphia, PA, United States
- University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States
| | - Michael Grandner
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona College of Medicine, Tucson, AZ, United States
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Edmed SL, Huda MM, Pattinson CL, Rossa KR, Smith SS. Perceived Neighborhood Characteristics and Sleep in Australian Adults. HEALTH EDUCATION & BEHAVIOR 2024; 51:155-166. [PMID: 37306016 PMCID: PMC10785564 DOI: 10.1177/10901981231177687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
BACKGROUND Poor sleep can contribute to poorer health and socioemotional outcomes. Sleep health can be influenced by a range of individual and other socioecological factors. Perceptions of neighborhood physical and social characteristics reflect broader social-level factors that may influence sleep, which have not been well studied in the Australian context. This study examined the association between perceived neighborhood characteristics and sleep in a large sample of Australians. METHODS Data were from 9,792 people aged 16 years or older, from Waves 16 and 17 of the nationally representative Household, Income and Labour Dynamics in Australia Survey. Associations between perceived neighborhood characteristics (neighborly interaction and support, environmental noise, physical condition, and insecurity) and self-reported sleep duration, sleep disturbance, and napping were examined using multiple logistic regression models. RESULTS "Neighborhood interaction and support" and "neighborhood physical condition" were not significantly associated with any sleep outcomes after adjusting for relevant covariates. However, "environmental noise" and "neighborhood insecurity" remained significantly associated with sleep duration and sleep disturbance. None of the neighborhood characteristics were associated with napping. Furthermore, associations did not significantly vary by gender. CONCLUSIONS This study highlights the potential benefit of public health policies to address noise and safety in neighborhoods to improve sleep.
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Affiliation(s)
- Shannon L. Edmed
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
| | - M. Mamun Huda
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
- Poche Centre for Indigenous Health, The University of Queensland, Brisbane, Queensland, Australia
| | - Cassandra L. Pattinson
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for the Digital Child, The University of Queensland, Brisbane, Queensland, Australia
| | - Kalina R. Rossa
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
| | - Simon S. Smith
- Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for Children and Families over the Life Course, The University of Queensland, Brisbane, Queensland, Australia
- ARC Centre of Excellence for the Digital Child, The University of Queensland, Brisbane, Queensland, Australia
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Mousavi Z, Troxel WM, Dickerson DL, Dong L, Brown RA, Palimaru AI, Klein DJ, Johnson CL, D’Amico EJ. Neighborhood determinants of sleep and the moderating role of cultural factors among native adolescents. Health Psychol 2024; 43:101-113. [PMID: 38127509 PMCID: PMC10842707 DOI: 10.1037/hea0001342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
OBJECTIVE This study examined the association between neighborhood social environment and sleep among urban American Indian and Alaska Native (AI/AN) adolescents as well as the moderating role of cultural factors in this association. METHOD The analytic sample included 133 urban AI/AN adolescents (age 12-16, 57.1% female, Mage = 14.03, SDage = 1.35). Perceived neighborhood social environment included safety and cohesion. Cultural factors included AI/AN cultural identification and historical loss. Sleep duration, efficiency, and wake after sleep onset (WASO) were measured via actigraphy. Sleep disturbance was measured via a questionnaire. RESULTS Greater neighborhood safety was significantly associated with lower sleep disturbance (b = -2.17, SE = 0.8, p = .008), higher sleep efficiency (b = 1.75, SE = 0.64, p = .006), and lower WASO (b = -8.60, SE = 3.34, p = .01). Neighborhood cohesion was not associated with any sleep outcomes. Cultural factors moderated the association between neighborhood social environment and sleep outcomes (p < .05). Specifically, both neighborhood safety and cohesion were associated with lower sleep disturbance, only among individuals reporting higher levels of AI/AN cultural identification. Further, neighborhood safety was associated with greater sleep efficiency and lower WASO (i.e., better sleep) only among adolescents with higher contemplation of historical loss. CONCLUSIONS Findings highlight the importance of considering cultural factors in addressing sleep and health disparities. AI/AN cultural identification and a sense of historical loss may be important targets for identifying adolescents who might benefit the most from policies and interventions focused on improving the social environment in order to improve sleep and other health outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Zahra Mousavi
- Department of Psychological Science, University of California, Irvine, California, USA
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, California, USA
| | - Wendy M. Troxel
- Division of Behavior and Policy Sciences, RAND Corporation, Pittsburgh, Pennsylvania, USA
| | - Daniel L. Dickerson
- UCLA Integrated Substance Abuse Program, Semel Institute for Neuroscience and Human Behavior, Los Angeles, California, USA
| | - Lu Dong
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, California, USA
| | - Ryan A. Brown
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, California, USA
| | - Alina I. Palimaru
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, California, USA
| | - David J. Klein
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, California, USA
| | - Carrie L. Johnson
- Sacred Path Indigenous Wellness Center, Los Angeles, California, USA
| | - Elizabeth J. D’Amico
- Division of Behavior and Policy Sciences, RAND Corporation, Santa Monica, California, USA
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Dai Y, Liu J. Neighborhood predictors of short sleep duration and bedtime irregularity among children in the United States: results from the 2019-2020 National Survey of Children's Health. World J Pediatr 2024; 20:73-81. [PMID: 36867306 PMCID: PMC9982789 DOI: 10.1007/s12519-023-00694-x] [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: 09/29/2022] [Accepted: 01/27/2023] [Indexed: 03/04/2023]
Abstract
BACKGROUND Environmental factors may contribute to short sleep duration and irregular bedtime in children. Neighborhood factors and children's sleep duration and bedtime regularity remain a less investigated area. The aim of this study was to investigate the national and state-level proportions of children with short sleep duration and irregular bedtime and their neighborhood predictors. METHODS A total of 67,598 children whose parents completed the National Survey of Children's Health in 2019-2020 were included in the analysis. Survey-weighted Poisson regression was used to explore the neighborhood predictors of children's short sleep duration and irregular bedtime. RESULTS The prevalence of short sleep duration and irregular bedtime among children in the United States (US) was 34.6% [95% confidence interval (CI) = 33.8%-35.4%] and 16.4% (95% CI = 15.6%-17.2%) in 2019-2020, respectively. Safe neighborhoods, supportive neighborhoods, and neighborhoods with amenities were found to be protective factors against children's short sleep duration, with risk ratios ranging between 0.92 and 0.94, P < 0.05. Neighborhoods with detracting elements were associated with an increased risk of short sleep duration [risk ratio (RR) = 1.06, 95% CI = 1.00-1.12] and irregular bedtime (RR = 1.15, 95% CI = 1.03-1.28). Child race/ethnicity moderated the relationship between neighborhood with amenities and short sleep duration. CONCLUSIONS Insufficient sleep duration and irregular bedtime were highly prevalent among US children. A favorable neighborhood environment can decrease children's risk of short sleep duration and irregular bedtime. Improving the neighborhood environment has implications for children's sleep health, especially for children from minority racial/ethnic groups.
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Affiliation(s)
- Ying Dai
- School of Nursing, University of Pennsylvania, 418 Curie Blvd., Room 426, Claire M. Fagin Hall, Philadelphia, PA, 19104-6096, USA
| | - Jianghong Liu
- School of Nursing, University of Pennsylvania, 418 Curie Blvd., Room 426, Claire M. Fagin Hall, Philadelphia, PA, 19104-6096, USA.
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Gueye-Ndiaye S, Hauptman M, Yu X, Li L, Rueschman M, Castro-Diehl C, Sofer T, Owens J, Gold DR, Adamkiewicz G, Metwali N, Thorne PS, Phipatanakul W, Redline S. Multilevel Risk Factors for Sleep-Disordered Breathing-Related Symptom Burden in an Urban Pediatric Community-Based Sample. CHEST PULMONARY 2023; 1:100019. [PMID: 38222082 PMCID: PMC10786403 DOI: 10.1016/j.chpulm.2023.100019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
BACKGROUND Pediatric sleep-disordered breathing (SDB) disproportionately affects children with low socioeconomic status (SES). The multilevel risk factors that drive these associations are not well understood. RESEARCH QUESTION What are the associations between SDB risk factors, including individual health conditions (obesity, asthma, and allergies), household SES (maternal education), indoor exposures (environmental tobacco smoke [ETS] and pests), and neighborhood characteristics (neighborhood disadvantage), and pediatric SDB symptoms? STUDY DESIGN AND METHODS Cross-sectional analyses were performed on 303 children (aged 6-12 years) enrolled in the Environmental Assessment of Sleep Youth study from 2018 to 2022. Exposures were determined by caregiver reports, assays of measured settled dust from the child's bedroom, and neighborhood-level Census data (deriving the Childhood Opportunity Index to characterize neighborhood disadvantage). The primary outcome was the SDB-related symptom burden assessed by the OSA-18 questionnaire total score. Using linear regression models, we calculated associations between exposures and SDB-related symptom burden, adjusting for sociodemographic factors, then health conditions, indoor environment, and neighborhood factors. RESULTS The sample included 303 children (39% Hispanic, Latino, Latina, or Spanish origin; 30% Black or African American; 22% White; and 11% other). Increasing OSA-18 total scores were associated with low household SES after adjustment for demographic factors, and with asthma, allergies, ETS, pests (mouse, cockroach, and rodents), and an indoor environmental index (sum of the presence of pests and ETS; 0-2) after adjusting for sociodemographic factors. Even after further adjusting for asthma, allergies, and neighborhood disadvantage, ETS and pest exposure were associated with OSA-18 (ETS: β = 12.80; 95% CI, 7.07-18.53, also adjusted for pest; pest exposure: β = 3.69; 95% CI, 0.44-6.94, also adjusted for ETS). INTERPRETATION In addition to associations with ETS, a novel association was observed for indoor pest exposure and SDB symptom burden. Strategies to reduce household exposure to ETS and indoor allergens should be tested as approaches for reducing sleep health disparities.
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Affiliation(s)
- Seyni Gueye-Ndiaye
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Marissa Hauptman
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Xinting Yu
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Le Li
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Michael Rueschman
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Cecilia Castro-Diehl
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Tamar Sofer
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Judith Owens
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Diane R Gold
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Gary Adamkiewicz
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Nervana Metwali
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Peter S Thorne
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Wanda Phipatanakul
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
| | - Susan Redline
- Harvard Medical School (S. G.-N., M. H., X. Y., L. L., M. R., C. C.-D., J. O., D. R. G., W. P., and S. R.); the Division of Sleep and Circadian Disorders (S. G.-N., X. Y., L. L., M. R., C. C.-D., and S. R.), Brigham and Women's Hospital; the Division of Pulmonary and Sleep Medicine(S. G.-N.), Boston Children's Hospital; the Division of General Pediatrics (M. H.), Boston Children's Hospital; the Region1 New England Pediatric Environmental Health Specialty Unit (PEHSU) (M. H.); the Department of Statistics (T. S.), Harvard T.H. Chan School of Public Health; the Division of Neurology (J. O.), Boston Children's Hospital; the Department of Medicine (D. R. G.), Brigham and Women's Hospital; the Department of Environmental Medicine (D. R. G. and G. A.), Harvard T.H. Chan School of Public Health; the Department of Occupational and Environmental Health (N. M. and P. S. T.), University of Iowa College of Public Health; the Division of Allergy/Immunology (W. P.), Boston Children's Hospital; and the Department of Epidemiology (S. R.), Harvard T.H. Chan School of Public Health
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Saelee R, Haardörfer R, Johnson DA, Gazmararian JA, Suglia SF. Neighborhood and Household Environment as Contributors to Racial Disparities in Sleep Duration among U.S. Adolescents. SLEEP EPIDEMIOLOGY 2023; 3:100065. [PMID: 38188485 PMCID: PMC10769009 DOI: 10.1016/j.sleepe.2023.100065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/09/2024]
Abstract
Objective Racial disparities in adolescent sleep duration have been documented, but pathways driving these disparities are not well understood. This study examined whether neighborhood and household environments explained racial disparities in adolescent sleep duration. Methods Participants came from Waves I and II of Add Health (n=13,019). Self-reported short sleep duration was defined as less than the recommended amount for age (<9 hours for 6-12 years, <8 hours for 13-18 years, and <7 hours for 18-64 years). Neighborhood factors included neighborhood socioeconomic disadvantage, perceived safety and social cohesion. Household factors included living in a single parent household and household socioeconomic status (HSES). Structural equation modeling was used to assess mediation of the neighborhood and household environment in the association between race/ethnicity and short sleep duration. Results Only HSES mediated racial disparities, explaining non-Hispanic (NH) African American-NH White (11.6%), NH American Indian-NH White (9.9%), and Latinx-NH White (42.4%) differences. Unexpectedly, higher HSES was positively associated with short sleep duration. Conclusion Household SES may be an important pathway explaining racial disparities in adolescent sleep duration. Future studies should examine mechanisms linking household SES to sleep and identify buffers for racial/ethnic minority adolescents against the detrimental impacts that living in a higher household SES may have on sleep.
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Affiliation(s)
- Ryan Saelee
- Department of Epidemiology, Rollins School of Public Health, Emory University
| | - Regine Haardörfer
- Department of Behavioral, Social, and Health Education Sciences, Rollins School of Public Health, Emory University
| | - Dayna A. Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University
| | | | - Shakira F. Suglia
- Department of Epidemiology, Rollins School of Public Health, Emory University
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Olds T, Singh B, Miatke A, Eglitis E, Maher C, Dumuid D. The Association Between Socioeconomic Status and Use of Time in Australian Children and Adolescents. J Adolesc Health 2023; 73:1068-1076. [PMID: 37665307 DOI: 10.1016/j.jadohealth.2023.07.007] [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: 09/09/2022] [Revised: 06/26/2023] [Accepted: 07/03/2023] [Indexed: 09/05/2023]
Abstract
PURPOSE There are well-known socioeconomic status (SES) gradients in children and adolescents' health which may be associated with time use. Our aim was to evaluate the association between Australian children's 24-hour time use and SES using four separate surveys from 2005 to 2021. METHODS Time use was assessed in 4526 8-19-year-olds from the 2005 Health of Young Victorians, 2007 National Children's Nutrition and Physical Activity, 2015 Child Health CheckPoint, and 2019-21 Life on Holidays study. Each survey used the same reliable, valid, 24-hour recall instrument. SES was quantified using tertiles of household income, education, and postcode-level measures. Compositional data analysis was used to compare 24-hour time use between SES categories, adjusting for age, sex, and puberty. RESULTS Time-use compositions differed significantly by SES in each survey. Relative to the lowest SES, children from the highest SES accumulated on average 31 min/day more School-related time, 6 min/day more Passive Transport and 6 min/day more Self-care. Conversely, they accumulated 30 min/day less Screen Time (which included computer time), 11 min/day less sleep, and spent 7 min/day less in Domestic/Social activities. There were only small differences in Quiet Time and Physical Activity. DISCUSSION SES-related differences in time use were robust across ages 8-19, a 16-year timespan, diverse Australian geographical regions, and using different SES metrics. The exchange of about 30 min/day between School-related activities and Screen Time amounts to >180 hours extra exposure to School-related activities annually in the highest SES category relative to the lowest, equivalent to >6 weeks of school time per year.
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Affiliation(s)
- Timothy Olds
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Centre for Adolescent Health, Murdoch Children's Research Centre, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
| | - Ben Singh
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia.
| | - Aaron Miatke
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Centre for Adolescent Health, Murdoch Children's Research Centre, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
| | - Emily Eglitis
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Carol Maher
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Dorothea Dumuid
- Allied Health & Human Performance, Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia; Centre for Adolescent Health, Murdoch Children's Research Centre, Royal Children's Hospital, Parkville, Melbourne, Victoria, Australia
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Sosso FAE, Matos E, Papadopoulos D. Social disparities in sleep health of African populations: A systematic review and meta-analysis of observational studies. Sleep Health 2023; 9:828-845. [PMID: 37880077 DOI: 10.1016/j.sleh.2023.08.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 08/29/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVES To document the relationship between socioeconomic status (SES) and sleep health in African populations. METHODS Observational cross-sectional or cohort studies examining the association between SES indicators and sleep outcomes in participants from African countries were included. The search was performed in the MEDLINE, Embase, and Web of Science Core Collection electronic databases in June 2021. Selection, confounding, attrition/exclusion, detection, and selective reporting bias were assessed using the OHAT Risk of Bias Tool. Random effects meta-analysis was used for summarizing the effect estimates. RESULTS Forty-three reports were selected, having sampled 153,372 Africans from 26 countries. Education was the most frequent SES indicator and composite measures of sleep quality or disturbances was the most common sleep outcome. Low educational attainment was significantly associated with lower odds of short sleep (odds ratio [OR]=0.65, 95% confidence intervals [0.50, 0.84], p = .001) and higher odds of insomnia (OR=1.53, [1.18, 1.99], p = .001) or poor sleep quality (OR=1.60, [1.17, 2.18], p = .003). Low levels of income/assets were related to higher odds of insomnia (OR=1.38, [1.02, 1.86], p = .04) and low occupational/employment status was linked to lower odds of short sleep duration (OR=0.49, [0.30, 0.79], p = .004). CONCLUSIONS Socioeconomic disadvantage was a significant predictor of insomnia and poor sleep quality, while it was associated with longer sleep duration. Significant heterogeneity in terms of exposure and outcomes, scarcity of longitudinal designs, lack of objective outcome measurement, and low representation of rural samples and participants from low-income countries limit the quality of evidence.
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Affiliation(s)
| | - Elsa Matos
- Sleep Laboratory of Pulmonology Department, Centro Hospitalar de Trás-os-Montes e Alto Douro, Vila Real, Portugal
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Maier MC, Scharf JY, Gold MA, Ancheta AJ, Bruzzese JM, Garbers S. 'Our mind could be our biggest challenge': A qualitative analysis of urban adolescents' sleep experiences and opportunities for mind-body integrative health approaches to improve sleep. PEC INNOVATION 2023; 2:100130. [PMID: 37214498 PMCID: PMC10194289 DOI: 10.1016/j.pecinn.2023.100130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 05/24/2023]
Abstract
Objective To inform the development of a combined sleep and mind-body integrative health (MBIH) intervention, we explored urban adolescents' sleep experiences and perceptions of MBIH techniques. Methods We conducted eight focus groups with school-based health center patients in New York City, exploring sleep experiences; mindfulness, body awareness, tapping, acupressure, and self-hypnosis; and intervention delivery preferences. We recorded, transcribed, and analyzed the discussions applying methods from grounded theory. Results Participants (n = 25) were ages 14-17, predominantly female (64%), Latino (60%), and Black (40%). Participants reported social, physical, and internal sleep barriers, but had limited success implementing sleep improvement strategies. Participants viewed MBIH techniques positively, noted audio-guided techniques' accessibility, and were intrigued by less-familiar techniques. Preferences varied around domains of intervention delivery. Conclusion Results underscore the need for adolescent-informed interventions offering sleep improvement strategies. Participants' interest and willingness to engage in MBIH techniques present an opportunity for practitioners to develop and deliver sleep interventions incorporating MBIH components to urban adolescents. Varied intervention preferences highlight the need to be adaptable to adolescents' lived experiences, comfort levels, and learning styles. Innovation This study elucidates the perspectives of underrepresented adolescents whose perspectives on MBIH have rarely been explored, an important first step in developing tailored interventions.
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Affiliation(s)
- Malia C. Maier
- Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Jodi Y. Scharf
- Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Melanie A. Gold
- Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA
- Division of Child and Adolescent Health, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
- School-Based Health Centers, New York-Presbyterian, USA
| | | | | | - Samantha Garbers
- Heilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA
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Zhai S, Hash J, Ward TM, Yuwen W, Sonney J. Analysis, evaluation, and reformulation of social cognitive theory: Toward parent-child shared management in sleep health. J Pediatr Nurs 2023; 73:e65-e74. [PMID: 37481389 PMCID: PMC11800834 DOI: 10.1016/j.pedn.2023.07.011] [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: 12/20/2022] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 07/24/2023]
Abstract
THEORETICAL PRINCIPLES Social Cognitive Theory (SCT) is a middle-range theory with triadic determinism between behavioral, environmental, and personal. SCT has been a guiding framework in health promotion research as it helps understand people's behaviors. PHENOMENA ADDRESSED Behavioral Insomnia of Childhood (BIC) is highly prevalent, affecting up to 45% of typically developing children and 80% of children with special healthcare needs. BIC leads to sleep deficiency, disrupted physical and psychological health, poor school performance, behavioral dysfunction, and negatively affects parental and family functioning. Using Fawcett's framework, we analyzed and evaluated SCT in a pediatric sleep context and propose a reformulation of SCT to better inform sleep research. RESEARCH LINKAGES SCT is individually focused and does not account for interdependence within relationships. Pediatric sleep interventions have limited long-term effects and sustainability without considering the parent-child dyadic interdependency. We advance the argument that the parent-child shared management (PCSM) perspective is beneficial for understanding pediatric sleep health. PCSM is a concept that reflects the shared responsibility and interdependence that parent and child have for managing child health. It assumes that with parents' ongoing support, children's responsibility for their health management increases over time, along with developmental progression and health-related experiences. We propose reformulating SCT by integrating PCSM in the pediatric sleep context: SCT with Shared Management (SCT-SM). The proposed SCT-SM accounts for parent-child interdependence and role transition. Shared management interventions that engage parents and children in active roles in managing sleep have potential sustainable effects in improving sleep and quality of life. (250).
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Affiliation(s)
- Shumenghui Zhai
- School of Nursing, Pacific Lutheran University, 12180 Park Ave. S, Tacoma, WA 98447, United States of America.
| | - Jonika Hash
- School of Nursing, University of Washington, 1959 NE Pacific St., Seattle, WA 98195, United States of America
| | - Teresa M Ward
- School of Medicine, University of Washington, 1959 NE Pacific St, Seattle, WA 98195, United States of America
| | - Weichao Yuwen
- School of Nursing & Healthcare Leadership, University of Washington Tacoma, 1922 Pacific Ave, Tacoma, WA 98402, United States of America
| | - Jennifer Sonney
- School of Nursing, University of Washington, 1959 NE Pacific St., Seattle, WA 98195, United States of America
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Awaworyi Churchill S, Asante A. Neighbourhood crime and obesity: Longitudinal evidence from Australia. Soc Sci Med 2023; 337:116289. [PMID: 37832312 DOI: 10.1016/j.socscimed.2023.116289] [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: 05/21/2023] [Revised: 09/23/2023] [Accepted: 09/27/2023] [Indexed: 10/15/2023]
Abstract
RATIONALE Obesity remains a significant public health concern globally with over one billion adults projected to be obese by 2025. To better understand the drivers of obesity and to inform policy, it is important to explore the factors that influence obesity. OBJECTIVES The objective of this paper to examine if the crime rates in the neighbourhood or local area in which a person lives influences their likelihood of being obese. Thus, we seek to contribute to the literature on the determinants of obesity by asking the question: what is the effect of neighbourhood (i.e., postcode) crime on obesity? We also examine the pathways through which neighbourhood crime influences obesity with a focus on the role of social capital, physical activity and sleep quality. METHODS Using 14 waves of longitudinal data from the Household, Income and Labour Dynamics in Australia (HILDA) survey merged with official police statistics on crime rates at the postcode level, we apply identification strategies that address endogeneity arising from endogenous sorting and omitted variable bias. RESULTS We find that an increase in neighbourhood crime rates is associated with an increase in body mass index (BMI) and the likelihood of being obese. Exploring the pathways through which neighbourhood crime influences obesity, we find that social capital and physical activity are important channels, while sleep quality is not. The evidence also suggests that the effects of violent crime are more pronounced compared to property crime. CONCLUSION Our findings suggest that targeting crime, and in particular violent crime, which seems to be driving the findings, is a core mechanism for reducing BMI and maintaining healthy body weight. The mediating role of physical activity and social capital also suggest that public policy can specifically target these areas by providing interventions that promote social capital and physical activity even amidst high crime rates.
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Lupini F, Daniel LC, Mindell JA, Williamson AA. Variation in Caregiver-Reported Child Sleep Patterns and Problems by Family Socioeconomic Indicators. J Dev Behav Pediatr 2023; 44:e551-e558. [PMID: 37796628 PMCID: PMC11129725 DOI: 10.1097/dbp.0000000000001211] [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: 03/07/2023] [Accepted: 07/06/2023] [Indexed: 10/07/2023]
Abstract
OBJECTIVE Previous studies of sleep patterns, as well as rates and correlates of perceived problems in early childhood, indicate variation by neighborhood-level socioeconomic indicators. The purpose of this study was to examine variation in (1) sleep patterns, behaviors, and problems by family-based socioeconomic indicators (income-to-needs ratio and caregiver education level) and (2) sociodemographic and sleep correlates of a caregiver-endorsed child sleep problem across and within socioeconomic indicator groups in a diverse sample. METHODS Two hundred eighty-three caregiver-child dyads (ages 1-5 years) completed the Brief Child Sleep Questionnaire. Family-level socioeconomic indicators included income-to-needs ratio and caregiver educational level. RESULTS Sleep patterns varied based on income-to-needs ratio, with children living in poverty experiencing the longest sleep onset latencies and night awakening durations and shortest nighttime sleep durations. Rates of an endorsed child sleep problem were similar across income-to-needs groups. Although sleep patterns did not vary by caregiver education level, caregivers with an education beyond high school were more likely to endorse a child sleep problem; later bedtimes, more frequent night awakenings, and greater bedtime difficulties were the strongest correlates of a perceived sleep problem in this subgroup. No specific correlates of a child sleep problem emerged for those with a high school education or less. CONCLUSION Sleep patterns may be more robustly linked to family income-to-needs ratio, whereas perceptions of a child sleep problem may be more linked to caregiver education level. Clinicians should consider expanding sleep screening questions to include specific sleep outcomes to effectively assess child sleep and guide intervention.
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Affiliation(s)
- Francesca Lupini
- Department of Psychology, Saint Joseph’s University, Philadelphia, PA
| | | | - Jodi A. Mindell
- Department of Psychology, Saint Joseph’s University, Philadelphia, PA
- Roberts Center for Pediatric Research, Children’s Hospital of Philadelphia, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ariel A. Williamson
- Roberts Center for Pediatric Research, Children’s Hospital of Philadelphia, Philadelphia, PA
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
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Meltzer GY, Merdjanoff AA, Xu S, Gershon R, Emrich CT, Abramson DM. Examining the effects of cumulative environmental stressors on Gulf Coast child and adolescent health. POPULATION AND ENVIRONMENT 2023; 45:21. [PMID: 38681821 PMCID: PMC11052576 DOI: 10.1007/s11111-023-00436-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 09/06/2023] [Indexed: 05/01/2024]
Abstract
This study examines how community-level cumulative environmental stress affects child and adolescent emotional distress and chronic health conditions both directly and indirectly through stressors at the household, family, and individual levels. Data comes from the Women and their Children's Health (WaTCH) Study, which sought to understand the health implications of exposure to the 2010 Deepwater Horizon oil spill (DHOS) among a cohort of 596 mothers with children ages 10 to 17 in southeastern Louisiana. Community-level environmental stress was measured using a newly developed geospatial index. Household-level stressors included previous hurricane impacts, impacts of DHOS, degree of financial difficulty, and degree of housing physical decay. Family stressors included maternal depression, self-rated physical health, and degree of parenting stress. Child stress was based on perceived stress; child mental health was based on serious emotional disturbance; and child physical health was based on diagnosis of chronic illness. Structural equation modeling used weighted least squares means and variance and theta parameterization. Results showed a significant negative direct path between community-level cumulative environmental stress and child/adolescent serious emotional disturbance and chronic illness. However, the indirect relationship through household, family, and individual-level stressors was significant and positive for both child/adolescent serious emotional disturbance and chronic illness. These findings point to the centrality of the household and family in determining child and adolescent physical and mental health outcomes in communities exposed to frequent disasters and ongoing environmental stressors.
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Affiliation(s)
- Gabriella Y. Meltzer
- Departments of Epidemiology and Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Alexis A. Merdjanoff
- Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, NY, USA
| | - Shu Xu
- Department of Biostatistics, New York University School of Global Public Health, New York, NY, USA
| | - Robyn Gershon
- Department of Epidemiology, New York University School of Global Public Health, New York, NY, USA
| | - Christopher T. Emrich
- School of Public Administration & National Center for Integrated Coastal Research, University of Central Florida, Orlando, FL, USA
| | - David M. Abramson
- Department of Social and Behavioral Sciences, New York University School of Global Public Health, New York, NY, USA
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Gueye-Ndiaye S, Williamson AA, Redline S. Disparities in Sleep-Disordered Breathing: Upstream Risk Factors, Mechanisms, and Implications. Clin Chest Med 2023; 44:585-603. [PMID: 37517837 PMCID: PMC10513750 DOI: 10.1016/j.ccm.2023.03.012] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/01/2023]
Abstract
Sleep-disordered breathing (SDB) refers to a spectrum of disorders ranging from habitual snoring without frank episodes of obstructed breathing or desaturation during sleep to obstructive sleep apnea, where apneas and hypopneas repetitively occur with resultant intermittent hypoxia, arousal, and sleep disruption. Disparities in SDB reflect its overall high prevalence in children and adults from racially and ethnically minoritized or low socioeconomic status backgrounds coupled with high rates of underdiagnosis and suboptimal treatment.
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Affiliation(s)
- Seyni Gueye-Ndiaye
- Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA
| | - Ariel A Williamson
- Children's Hospital of Philadelphia, 2716 South Street Boulevard, Philadelphia, PA 19104, USA; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Susan Redline
- Brigham and Women's Hospital and Harvard Medical School, 221 Longwood Avenue, Boston, MA 02115, USA.
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Zeringue MM, Saini EK, Fuller-Rowell TE, Hinnant JB, El-Sheikh M. Neighborhood environment and adolescent sleep: The role of family socioeconomic status. Sleep Med 2023; 109:40-49. [PMID: 37413781 PMCID: PMC10529799 DOI: 10.1016/j.sleep.2023.06.014] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 06/05/2023] [Accepted: 06/13/2023] [Indexed: 07/08/2023]
Abstract
OBJECTIVES Socioeconomic status (SES) and neighborhood context are influential predictors of adolescent sleep, yet little is known about how they may interact to influence sleep. We examined multiple dimensions of family SES as moderators of associations between neighborhood risk and multiple sleep parameters. METHODS Participants were 323 adolescents (Mage = 17.4 years, SD = 0.86; 48% male; 60% White/European American, 40% Black/African American). Sleep was assessed using 7 nights of actigraphy from which sleep duration (minutes from onset to wake time), efficiency, long wake episodes, and variability in minutes over the week were derived. Youth reported on their sleep/wake problems and sleepiness, as well as their perceptions of safety and violence in their neighborhoods. Parents reported on SES indices, including income-to-needs ratio and perceived financial stability. RESULTS Lower SES (income-to-needs, perceived financial stability) was associated with lower sleep efficiency and more frequent long wake episodes. Lower neighborhood safety and greater community violence concerns were related to greater subjective sleep problems. Moderation effects illustrated two general patterns. For actigraphy-derived sleep variables, lower neighborhood safety was associated with poor sleep only among youth from lower-income families. For subjective sleep/wake problems and daytime sleepiness, associations between neighborhood risk and sleep difficulties were pronounced for higher SES youth, while lower SES youth had greater sleep problems regardless of neighborhood factors. CONCLUSIONS Findings suggest that several dimensions of SES and neighborhood risk may be consequential for adolescents' sleep. Moderation effects highlight the significance of considering multiple contextual influences towards a better understanding of adolescents' sleep.
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