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Barber LE, McCullough LE, Johnson DA. Eyes Wide Open: Sleep as a Potential Contributor to Racial and Ethnic Disparities in Cancer. Cancer Epidemiol Biomarkers Prev 2024; 33:471-479. [PMID: 38270540 PMCID: PMC10990828 DOI: 10.1158/1055-9965.epi-23-1117] [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: 09/13/2023] [Revised: 11/05/2023] [Accepted: 01/22/2024] [Indexed: 01/26/2024] Open
Abstract
U.S. racial and ethnic minoritized groups face disproportionate cancer burdens compared to White Americans. Investigating modifiable factors, such as sleep, that are socially patterned and inequitably distributed by race and ethnicity may advance understanding of cancer disparities and provide intervention opportunities. Emerging data suggest poor sleep health is associated with cancer. Yet, its contribution to racial and ethnic cancer disparities is understudied. In this narrative review, we explored the sleep-cancer relation through a disparities lens. We (i) summarized literature reporting on associations between sleep and cancer among racial and ethnic minority populations; (ii) examined potential sleep-cancer mechanisms; and (iii) discussed future directions. We identified five studies reporting on sleep-cancer associations among minoritized groups. Poor sleep health was associated with aggressive breast cancer among Black women, increased breast cancer risk among Asian women, and increased risk of breast and total cancer among Hispanic/Latinx Americans. Sleep and cancer disparities have similar socioeconomic and behavioral determinants, suggesting racial and ethnic minoritized groups may be vulnerable to poor sleep health and its adverse health impacts. Evidence indicates that the sleep-cancer disparities relation is an emerging, but important area of research that warrants further investigation, as sleep may be an avenue for reducing cancer disparities.
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Affiliation(s)
- Lauren E. Barber
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Lauren E. McCullough
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Dayna A. Johnson
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
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2
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Savin KL, Carlson JA, Patel SR, Jankowska MM, Allison MA, Sotres-Alvarez D, Sallis JF, Talavera GA, Roesch SC, Malcarne VL, Larsen B, Rutledge T, Gallo LC. Social and built neighborhood environments and sleep health: The Hispanic Community Health Study/Study of Latinos Community and Surrounding Areas and Sueño Ancillary Studies. Sleep 2024; 47:zsad260. [PMID: 37788570 PMCID: PMC10851842 DOI: 10.1093/sleep/zsad260] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 09/15/2023] [Indexed: 10/05/2023] Open
Abstract
STUDY OBJECTIVES To test associations between neighborhood social, built, and ambient environment characteristics and multidimensional sleep health in Hispanic/Latino adults. METHODS Data were from San Diego-based Hispanic/Latino adults mostly of Mexican heritage enrolled in the Hispanic Community Health Study/Study of Latinos (N = 342). Home addresses were geocoded to ascertain neighborhood characteristics of greenness, walkability (density of intersections, retail spaces, and residences), socioeconomic deprivation (e.g. lower income, lower education), social disorder (e.g. vacant buildings, crime), traffic density, and air pollution (PM 2.5) in the Study of Latinos Communities and Surrounding Areas Study. Sleep dimensions of regularity, satisfaction, alertness, timing, efficiency, and duration were measured by self-report or actigraphy approximately 2 years later. Multivariable regression models accounting for study design (stratification and clustering) were used to examine associations of neighborhood variables with individual sleep dimensions and a multidimensional sleep health composite score. RESULTS Neighborhood characteristics were not significantly associated with the multidimensional sleep health composite, and there were few significant associations with individual sleep dimensions. Greater levels of air pollution (B = 9.03, 95% CI: 1.16, 16.91) were associated with later sleep midpoint, while greater social disorder (B = -6.90, 95% CI: -13.12, -0.67) was associated with earlier sleep midpoint. Lower walkability was associated with more wake after sleep onset (B = -3.58, 95% CI: -7.07, -0.09). CONCLUSIONS Living in neighborhoods with lower walkability and greater air pollution was associated with worse sleep health, but otherwise findings were largely null. Future research should test these hypotheses in settings with greater variability and investigate mechanisms of these associations.
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Affiliation(s)
- Kimberly L Savin
- San Diego State University/University of California San Diego, Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA
| | - Jordan A Carlson
- Center for Children’s Health Lifestyles and Nutrition, Children’s Mercy Kansas City, Kansas City, MO, USA
- Department of Pediatrics, Children’s Mercy Kansas City and University of Missouri Kansas City, Kansas City, MO, USA
| | - Sanjay R Patel
- Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Matthew A Allison
- Department of Family Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Daniela Sotres-Alvarez
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - James F Sallis
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, VIC, Australia
| | - Gregory A Talavera
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Scott C Roesch
- Department of Psychology, San Diego State University, San Diego, CA, USA
| | - Vanessa L Malcarne
- Department of Psychology, San Diego State University, San Diego, CA, USA
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
| | - Britta Larsen
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Thomas Rutledge
- Department of Psychiatry, University of California San Diego, La Jolla, CA, USA
- Department of Mental Health, VA San Diego Healthcare System, San Diego, CA, USA
| | - Linda C Gallo
- Department of Psychology, San Diego State University, San Diego, CA, USA
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Johnson DA. Neighborhoods: place-based opportunities for advancing sleep health. Sleep 2024; 47:zsad322. [PMID: 38141244 PMCID: PMC10851841 DOI: 10.1093/sleep/zsad322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Indexed: 12/25/2023] Open
Affiliation(s)
- Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Montanari A, Wang L, Birenboim A, Chaix B. Urban environment influences on stress, autonomic reactivity and circadian rhythm: protocol for an ambulatory study of mental health and sleep. Front Public Health 2024; 12:1175109. [PMID: 38375340 PMCID: PMC10875008 DOI: 10.3389/fpubh.2024.1175109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 01/02/2024] [Indexed: 02/21/2024] Open
Abstract
Introduction Converging evidence suggests that urban living is associated with an increased likelihood of developing mental health and sleep problems. Although these aspects have been investigated in separate streams of research, stress, autonomic reactivity and circadian misalignment can be hypothesized to play a prominent role in the causal pathways underlining the complex relationship between the urban environment and these two health dimensions. This study aims at quantifying the momentary impact of environmental stressors on increased autonomic reactivity and circadian rhythm, and thereby on mood and anxiety symptoms and sleep quality in the context of everyday urban living. Method The present article reports the protocol for a feasibility study that aims at assessing the daily environmental and mobility exposures of 40 participants from the urban area of Jerusalem over 7 days. Every participant will carry a set of wearable sensors while being tracked through space and time with GPS receivers. Skin conductance and heart rate variability will be tracked to monitor participants' stress responses and autonomic reactivity, whereas electroencephalographic signal will be used for sleep quality tracking. Light exposure, actigraphy and skin temperature will be used for ambulatory circadian monitoring. Geographically explicit ecological momentary assessment (GEMA) will be used to assess participants' perception of the environment, mood and anxiety symptoms, sleep quality and vitality. For each outcome variable (sleep quality and mental health), hierarchical mixed models including random effects at the individual level will be used. In a separate analysis, to control for potential unobserved individual-level confounders, a fixed effect at the individual level will be specified for case-crossover analyses (comparing each participant to oneself). Conclusion Recent developments in wearable sensing methods, as employed in our study or with even more advanced methods reviewed in the Discussion, make it possible to gather information on the functioning of neuro-endocrine and circadian systems in a real-world context as a way to investigate the complex interactions between environmental exposures, behavior and health. Our work aims to provide evidence on the health effects of urban stressors and circadian disruptors to inspire potential interventions, municipal policies and urban planning schemes aimed at addressing those factors.
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Affiliation(s)
- Andrea Montanari
- Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Sorbonne Universités, Paris, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France
| | - Limin Wang
- Department of Geography, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Amit Birenboim
- Department of Geography, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Basile Chaix
- Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP), Sorbonne Universités, Paris, France
- Institut National de la Santé et de la Recherche Médicale (INSERM), Paris, France
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Attarian H, Dunietz GL, Gavidia-Romero R, Jansen E, Johnson DA, Kelman A, Knutson K. Addressing sleep deserts: A proposed call for action. Sleep Health 2024; 10:S15-S18. [PMID: 37926658 PMCID: PMC11181961 DOI: 10.1016/j.sleh.2023.09.008] [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: 06/17/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 11/07/2023]
Abstract
Sleep deserts are a major cause of health inequity. They occur primarily in disadvantaged neighborhoods because of structural racism, social and environmental factors, and dearth of medical services. We describe several strategies that can serve as a feasible action plan to target structural racism, environmental pollution, and impact of climate change. We also suggest ways healthcare providers in these underserved areas can incorporate sleep medicine into their practice. Lastly, we highlight strategies to increase community awareness of sleep health in a culturally sensitive manner. There are several ways, from a policy level to healthcare that we can begin to eliminate sleep deserts, which is urgently needed.
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Affiliation(s)
- Hrayr Attarian
- Northwestern University, Feinberg School of Medicine, Department of Neurology, Chicago, Illinois, USA.
| | - Galit Levi Dunietz
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Ronald Gavidia-Romero
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Erica Jansen
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Dayna A Johnson
- Emory University, Rollins School of Public Health, Department of Epidemiology, Atlanta, Georgia, USA
| | - Alexa Kelman
- University of Michigan Medical School, Department of Neurology, Ann Arbor, Michigan, USA
| | - Kristen Knutson
- Northwestern University, Feinberg School of Medicine, Department of Neurology, Chicago, Illinois, USA
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Johnson DA, Wallace DA, Ward L. Racial/ethnic and sex differences in the association between light at night and actigraphy-measured sleep duration in adults: NHANES 2011-2014. Sleep Health 2024; 10:S184-S190. [PMID: 37951773 PMCID: PMC11031299 DOI: 10.1016/j.sleh.2023.09.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 09/18/2023] [Accepted: 09/22/2023] [Indexed: 11/14/2023]
Abstract
OBJECTIVE Historically minoritized individuals experience greater exposure to light at night, yet it is unclear whether the association between light at night and sleep duration vary by race/ethnicity or sex. We examined the association between light at night and sleep duration by race/ethnicity and sex. METHODS Participants (N = 6089, mean age=49.5, 52% women, 13% Asian, 27% Black, 14% Mexican, 46% White) in the 2011-2014 National Health and Nutrition Examination Survey underwent 9-day of actigraphy. Light at night was defined as light exposure within the 5-hour activity nadir (L5). Sleep duration within a 24-hour period was analyzed as short (<7 hours) or long (>9 hours) compared to recommended (≥7 and <9 hours). Poisson models were fit to estimate the association between light at night and sleep duration after adjustment for covariates. RESULTS Light at night was most common among Black participants, who also had the shortest sleep duration. Overall, light at night was associated with 80% higher prevalence of short sleep duration [1.80 (1.49, 2.18)]. Compared to no-light at night, low and high light at night were associated with higher prevalence of short sleep duration, [1.61 (1.31, 1.98) and 2.01 (1.66, 2.44), respectively]. Associations varied by race/ethnicity and sex. Light at night was associated with shorter sleep duration in Black, Mexican and White females and Mexican and White males only. Black males exposed to light at night vs. no-light at night had lower prevalence of long sleep duration. There were no associations between light at night and sleep duration among Asian participants. CONCLUSION Light at night was associated with shorter sleep duration, particularly among females. Targeting light exposure may help to improve sleep duration.
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Affiliation(s)
- Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
| | - Danielle A Wallace
- Department of Medicine, Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts, USA; Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Laura Ward
- Department of Biostatistics and Informatics, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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Chen X, Wen J, Wu W, Peng Q, Cui X, He L. A review of factors influencing sensitive skin: an emphasis on built environment characteristics. Front Public Health 2023; 11:1269314. [PMID: 38111482 PMCID: PMC10726041 DOI: 10.3389/fpubh.2023.1269314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 11/20/2023] [Indexed: 12/20/2023] Open
Abstract
Background Sensitive skin (SS) is a condition characterized by hyperreactivity. Impacting around 37 percent of the worldwide population and exerting an influence on the quality of life for affected individuals. Its prevalence rate has increased due to factors such as elevating stress levels and deteriorating environmental conditions. The exposome factors influencing SS have extended from demographic, biological attributes, and lifestyle to external environments. Built environments (BEs) have demonstrated as root drivers for changes in behaviors and environmental exposure which have the potential to trigger SS, but the review of the associations between BEs and SS is currently lacking. Objective This review aims to achieve two primary objectives: (1) Examine exposome factors that exert influence on SS at the individual and environmental levels. (2) Develop a theoretical framework that establishes a connection between BEs and SS, thereby offering valuable insights into the impact of the built environment on this condition. Methods An extensive literature search was carried out across multiple fields, including sociology, epidemiology, basic medicine, clinical medicine, and environmental research, with a focus on SS. To identify pertinent references, renowned databases such as PubMed, Web of Science, and CNKI were utilized. Results SS is the outcome of interactions between individual attributes and environmental factors. These influencing factors can be categorized into five distinct classes: (1) demographic and socioeconomic characteristics including age, gender, and race; (2) physiological and biological attributes such as emotional changes, skin types, sleep disorders, and menstrual cycles in women; (3) behavioral factors, such as spicy diet, cosmetic use, alcohol consumption, and physical exercise; (4) natural environmental features, including climate conditions and air pollution; (5) built environmental features such as population density, green space availability, road network density, and access to public transportation, also have the potential to affect the condition. Conclusion The importance of interdisciplinary integration lies in its ability to ascertain whether and how BEs are impacting SS. By elucidating the role of BEs in conjunction with other factors in the onset of SS, we can provide guidance for future research endeavors and the formulation of interventions aimed at mitigating the prevalence of SS.
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Affiliation(s)
- Xiangfeng Chen
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jing Wen
- The Centre for Modern Chinese City Studies, East China Normal University, Shanghai, China
| | - Wenjuan Wu
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qiuzhi Peng
- Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China
| | - Xiangfen Cui
- Faculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China
| | - Li He
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Institute of Skin Health, Kunming, China
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Adjaye-Gbewonyo D, Ng AE, Jackson CL, Johnson DA. The perceived neighborhood walking environment and self-reported sleep health in a nationally representative sample of the United States. Health Place 2023; 83:103066. [PMID: 37385129 DOI: 10.1016/j.healthplace.2023.103066] [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: 12/06/2022] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 07/01/2023]
Abstract
Neighborhood environment can influence sleep health; yet, there is a lack of data on specific environment features in nationally representative samples. We used the 2020 National Health Interview Survey to determine associations between perceived built and social environment factors related to pedestrian access (walking paths, sidewalks), amenities (shops, transit stops, entertainment/services, places to relax), and unsafe walking conditions (traffic, crime) and self-reported sleep duration and disturbances. Places to relax and pedestrian access were associated with better sleep health while unsafe walking conditions were associated with worse sleep health. Access to amenities (shops, transit stops, entertainment venues) had null associations with sleep health.
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Affiliation(s)
- Dzifa Adjaye-Gbewonyo
- National Center for Health Statistics, Centers for Disease Control and Prevention, 3311 Toledo Road, Hyattsville, MD, 20782, USA.
| | - Amanda E Ng
- National Center for Health Statistics, Centers for Disease Control and Prevention, 3311 Toledo Road, Hyattsville, MD, 20782, USA.
| | - Chandra L Jackson
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, 111 T.W. Alexander Drive, Research Triangle Park, NC, 27709, USA; Intramural Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, 6707 Democracy Blvd Ste 800, Bethesda, MD, 20892, USA.
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd, NE, Atlanta, GA, 30322, USA.
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Kim B, Troxel WM, Dubowitz T, Hunter GP, Ghosh-Dastidar B, Chaix B, Rudolph KE, Morrison CN, Branas CC, Duncan DT. Neighborhood Built Environment and Sleep Health: A Longitudinal Study in Low-Income and Predominantly African-American Neighborhoods. Am J Epidemiol 2023; 192:736-747. [PMID: 36691683 PMCID: PMC10423630 DOI: 10.1093/aje/kwad016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 11/10/2022] [Accepted: 01/18/2023] [Indexed: 01/25/2023] Open
Abstract
In the present study, we examined the associations between physical characteristics of neighborhoods and sleep health outcomes and assessed the mediating role of physical activity in these associations. A longitudinal study (the Pittsburgh Hill/Homewood Research on Eating, Shopping, and Health (PHRESH) Zzz Study; n = 1,051) was conducted in 2 low-income, predominately African-American neighborhoods in Pittsburgh, Pennsylvania, with repeated measures of neighborhood characteristics and sleep health outcomes from 2013 to 2018. Built environment measures of walkability, urban design, and neighborhood disorder were captured from systematic field observations. Sleep health outcomes included insufficient sleep, sleep duration, wakefulness after sleep onset, and sleep efficiency measured from 7-day actigraphy data. G-computations based on structural nested mean models were used to examine the total effects of each built environment feature, and causal mediation analyses were used to evaluate direct and indirect effects operating through physical activity. Urban design features were associated with decreased wakefulness after sleep onset (risk difference (RD) = -1.26, 95% confidence interval (CI): -4.31, -0.33). Neighborhood disorder (RD = -0.46, 95% CI: -0.86, -0.07) and crime rate (RD = -0.54, 95% CI: -0.93, -0.08) were negatively associated with sleep efficiency. Neighborhood walkability was not associated with sleep outcomes. We did not find a strong and consistent mediating role of physical activity. Interventions to improve sleep should target modifiable factors, including urban design and neighborhood disorder.
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Affiliation(s)
- Byoungjun Kim
- Correspondence to Dr. Byoungjun Kim, Department of Population Health, Grossman School of Medicine, New York University, 180 Madison Avenue, 5th Floor, New York, NY 10016 (e-mail: )
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Bozigar M, Huang T, Redline S, Hart JE, Grady ST, Nguyen DD, James P, Nicholas B, Levy JI, Laden F, Peters JL. Associations between Aircraft Noise Exposure and Self-Reported Sleep Duration and Quality in the United States-Based Prospective Nurses' Health Study Cohort. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:47010. [PMID: 37058435 PMCID: PMC10104165 DOI: 10.1289/ehp10959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/21/2023] [Accepted: 03/03/2023] [Indexed: 06/19/2023]
Abstract
BACKGROUND Sleep disruption is linked with chronic disease, and aircraft noise can disrupt sleep. However, there are few investigations of aircraft noise and sleep in large cohorts. OBJECTIVES We examined associations between aircraft noise and self-reported sleep duration and quality in the Nurses' Health Study, a large prospective cohort. METHODS Aircraft nighttime equivalent sound levels (Lnight) and day-night average sound levels (DNL) were modeled around 90 U.S. airports from 1995 to 2015 in 5-y intervals using the Aviation Environmental Design Tool and linked to geocoded participant residential addresses. Lnight exposure was dichotomized at the lowest modeled level of 45 A-weighted decibels [dB(A)] and at multiple cut points for DNL. Multiple categories of both metrics were compared with < 45 dB(A). Self-reported short sleep duration (< 7 h/24-h day) was ascertained in 2000, 2002, 2008, 2012, and 2014, and poor sleep quality (frequent trouble falling/staying asleep) was ascertained in 2000. We analyzed repeated sleep duration measures using generalized estimating equations and sleep quality by conditional logistic regression. We adjusted for participant-level demographics, behaviors, comorbidities, and environmental exposures (greenness and light at night) and examined effect modification. RESULTS In 35,226 female nurses averaging 66.1 years of age at baseline, prevalence of short sleep duration and poor sleep quality were 29.6% and 13.1%, respectively. In multivariable models, exposure to Lnight ≥ 45 dB(A) was associated with 23% [95% confidence interval (CI): 7%, 40%] greater odds of short sleep duration but was not associated with poor sleep quality (9% lower odds; 95% CI: - 30 % , 19%). Increasing categories of Lnight and DNL ≥ 45 dB(A) suggested an exposure-response relationship for short sleep duration. We observed higher magnitude associations among participants living in the West, near major cargo airports, and near water-adjacent airports and among those reporting no hearing loss. DISCUSSION Aircraft noise was associated with short sleep duration in female nurses, modified by individual and airport characteristics. https://doi.org/10.1289/EHP10959.
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Affiliation(s)
- Matthew Bozigar
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Susan Redline
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Stephanie T. Grady
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Daniel D. Nguyen
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Peter James
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Bradley Nicholas
- Volpe National Transportation Systems Center, U.S. Department of Transportation, Cambridge, Massachusetts, USA
| | - Jonathan I. Levy
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Junenette L. Peters
- Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA
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11
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Khot SP, Taylor BL, Longstreth WT, Brown AF. Sleep Health as a Determinant of Disparities in Stroke Risk and Health Outcome. Stroke 2023; 54:595-604. [PMID: 36345822 PMCID: PMC9870956 DOI: 10.1161/strokeaha.122.039524] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
Sleep is essential to human survival and overall vascular health. Sleep health encompasses the objective and subjective qualities associated with one's daily pattern of sleep and wakefulness and has become a growing clinical and public health concern. Impaired sleep duration and quality can increase stroke risk and mediate the relationship between the physical aspects of an individual's environment and disparities in stroke incidence. Here, we review observational studies evaluating the association between sleep health and cerebrovascular disease. We assess the influence on sleep of the physical environment, including the ambient environment with noise levels and the built environment. We also describe the influences on sleep health and stroke risk of social determinants of health, including the chronic stressor of racial discrimination. Finally, we discuss how changes in historical neighborhood characteristics or societal policies can influence the social factors affecting sleep health and stroke risk among socioeconomically disadvantaged groups or ethnic and racial minorities. Given the regional and racial or ethnic differences in stroke risk across the United States, an understanding of novel vascular risk factors, such as the multifaceted role of sleep health, will be critical to develop effective public policies to improve population health.
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Affiliation(s)
- Sandeep P Khot
- Department of Neurology (S.P.K., B.L.T., W.T.L.), University of Washington, Seattle
| | - Breana L Taylor
- Department of Neurology (S.P.K., B.L.T., W.T.L.), University of Washington, Seattle
| | - W T Longstreth
- Department of Neurology (S.P.K., B.L.T., W.T.L.), University of Washington, Seattle
- Department of Epidemiology (W.T.L.), University of Washington, Seattle
| | - Arleen F Brown
- Department of Medicine, University of California, Los Angeles (A.F.B.)
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12
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Yang Y, Cho A, Nguyen Q, Nsoesie EO. Association of Neighborhood Racial and Ethnic Composition and Historical Redlining With Built Environment Indicators Derived From Street View Images in the US. JAMA Netw Open 2023; 6:e2251201. [PMID: 36652250 PMCID: PMC9856713 DOI: 10.1001/jamanetworkopen.2022.51201] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 11/23/2022] [Indexed: 01/19/2023] Open
Abstract
Importance Racist policies (such as redlining) create inequities in the built environment, producing racially and ethnically segregated communities, poor housing conditions, unwalkable neighborhoods, and general disadvantage. Studies on built environment disparities are usually limited to measures and data that are available from existing sources or can be manually collected. Objective To use built environment indicators generated from online street-level images to investigate the association among neighborhood racial and ethnic composition, the built environment, and health outcomes across urban areas in the US. Design, Setting, and Participants This cross-sectional study was conducted using built environment indicators derived from 164 million Google Street View images collected from November 1 to 30, 2019. Race, ethnicity, and socioeconomic data were obtained from the 2019 American Community Survey (ACS) 5-year estimates; health outcomes were obtained from the Centers for Disease Control and Prevention 2020 Population Level Analysis and Community Estimates (PLACES) data set. Multilevel modeling and mediation analysis were applied. A total of 59 231 urban census tracts in the US were included. The online images and the ACS data included all census tracts. The PLACES data comprised survey respondents 18 years or older. Data were analyzed from May 23 to November 16, 2022. Main Outcomes and Measures Model-estimated association between image-derived built environment indicators and census tract (neighborhood) racial and ethnic composition, and the association of the built environment with neighborhood racial composition and health. Results The racial and ethnic composition in the 59 231 urban census tracts was 1 160 595 (0.4%) American Indian and Alaska Native, 53 321 345 (19.5%) Hispanic, 462 259 (0.2%) Native Hawaiian and other Pacific Islander, 17 166 370 (6.3%) non-Hispanic Asian, 35 985 480 (13.2%) non-Hispanic Black, and 158 043 260 (57.7%) non-Hispanic White residents. Compared with other neighborhoods, predominantly White neighborhoods had fewer dilapidated buildings and more green space indicators, usually associated with good health, and fewer crosswalks (eg, neighborhoods with predominantly minoritized racial or ethnic groups other than Black residents had 6% more dilapidated buildings than neighborhoods with predominantly White residents). Moreover, the built environment indicators partially mediated the association between neighborhood racial and ethnic composition and health outcomes, including diabetes, asthma, and sleeping problems. The most significant mediator was non-single family homes (a measure associated with homeownership), which mediated the association between neighborhoods with predominantly minority racial or ethnic groups other than Black residents and sleeping problems by 12.8% and the association between unclassified neighborhoods and asthma by 24.2%. Conclusions and Relevance The findings in this cross-sectional study suggest that large geographically representative data sets, if used appropriately, may provide novel insights on racial and ethnic health inequities. Quantifying the impact of structural racism on social determinants of health is one step toward developing policies and interventions to create equitable built environment resources.
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Affiliation(s)
- Yukun Yang
- Center for Antiracist Research, Boston University, Boston, Massachusetts
| | - Ahyoung Cho
- Center for Antiracist Research, Boston University, Boston, Massachusetts
- Department of Political Science, Boston University, Boston, Massachusetts
| | - Quynh Nguyen
- Department of Epidemiology and Biostatistics, School of Public Health, University of Maryland, College Park
| | - Elaine O. Nsoesie
- Center for Antiracist Research, Boston University, Boston, Massachusetts
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts
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Yang E, Ismail A, Kim Y, Erdogmus E, Boron J, Goldstein F, DuBose J, Zimring C. Multidimensional Environmental Factors and Sleep Health for Aging Adults: A Focused Narrative Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:15481. [PMID: 36497555 PMCID: PMC9739530 DOI: 10.3390/ijerph192315481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Revised: 10/28/2022] [Accepted: 11/10/2022] [Indexed: 06/17/2023]
Abstract
The timing, amount, and quality of sleep are critical for an individual's health and quality of life. This paper provides a focused narrative review of the existing literature around multidimensional environments and sleep health for aging adults. Five electronic databases, Scopus, Web of Science, PubMed/Medline; EBSCOhost, PsycINFO (ProQuest), and Google Scholar yielded 54,502 total records. After removing duplicates, non-peer reviewed academic articles, and nonrelevant articles, 70 were included for review. We were able to categorize environmental factors into housing security, home environment, and neighborhood environment, and, within each environmental category, specific elements/aspects are discussed. This paper provides a comprehensive map connecting identified levels of influence (individual, home/house, and neighborhood-level) in which subfactors are listed under each level of influence/category with the related literature list. Our review highlights that multidimensional environmental factors can affect aging adults' sleep health and eventually their physical, mental, and cognitive health and that sleep disparities exist in racial minorities in socioeconomically disadvantaged communities in which cumulative environmental stressors coexist. Based on this focused narrative review on the multidimensional sleep environments for aging adults, knowledge gaps are identified, and future research directions are suggested.
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Affiliation(s)
- Eunhwa Yang
- School of Building Construction, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Aliaa Ismail
- School of Building Construction, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Yujin Kim
- School of Building Construction, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Ece Erdogmus
- School of Building Construction, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Julie Boron
- Department of Gerontology, University of Nebraska Omaha, Omaha, NE 68182, USA
| | - Felicia Goldstein
- Department of Neurology, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - Jennifer DuBose
- SimTigrate Design Lab, Georgia Institute of Technology, Atlanta, GA 30332, USA
| | - Craig Zimring
- SimTigrate Design Lab, Georgia Institute of Technology, Atlanta, GA 30332, USA
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Young DR, Hong BD, Lewis KH, Paz SR, Bhakta BB, Macias M, Crawford CL, Drewnowski A, Ji M, Moore DD, Shen E, Murali SB, Coleman KJ. The association of 1-year weight loss from bariatric surgery and self-reported sleep: a prospective cohort. Obesity (Silver Spring) 2022; 30:2307-2316. [PMID: 36321277 PMCID: PMC9913885 DOI: 10.1002/oby.23543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Revised: 07/05/2022] [Accepted: 07/14/2022] [Indexed: 11/07/2022]
Abstract
OBJECTIVE This study examined the association of weight loss following bariatric surgery with self-reported sleep quality after accounting for other sleep-related factors. METHODS Participants were from the Bariatric Experience Long Term (BELONG) study. Participants completed a survey up to 6 months before surgery and approximately 1 year after surgery. The Pittsburgh Sleep Quality Index (PSQI) was used to measure sleep quality. One-year percentage total weight loss (%TWL) was determined from electronic medical records. Covariates included demographics, Charlson Comorbidity Index, geocoded variables to assess neighborhood quality, and physical activity. The authors assessed the association between %TWL at 1 year and PSQI component scores with separate cumulative logit models. RESULTS There were 997 participants in the analytic cohort. Participants were 86.2% women, 37.0% Hispanic, and 13.7% Black adults. Mean one-year %TWL was 26.3 (SD 8.7). Each 1% increase in %TWL was associated with a 3% better daytime dysfunction score (odds ratio = 1.03; 95% CI: 1.02-1.05) and a 2% better sleep quality score (odds ratio = 1.02; 95% CI: 1.00-1.03). No significant differences were found for the other PSQI components. CONCLUSIONS Weight loss from bariatric surgery was associated with better self-reported sleep at 1 year. For people undergoing bariatric surgery, there may be an added benefit of better sleep.
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Affiliation(s)
- Deborah R. Young
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Benjamin D. Hong
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Kristina H. Lewis
- Division of Public Health Sciences, Department of Epidemiology & Prevention, Wake Forest University Health Sciences, Winston-Salem, North Carolina, USA
| | - Silvia R. Paz
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Bhumi B. Bhakta
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Mayra Macias
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Cecelia L. Crawford
- Regional Nursing Research Program, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Adam Drewnowski
- Center for Public Health Nutrition, University of Washington, Seattle, Washington, USA
| | - Ming Ji
- College of Nursing, University of South Florida, Tampa, Florida, USA
| | - Darren D. Moore
- Marriage and Family Therapy Program, The Family Institute, Northwestern University, Evanston, Illinois, USA
| | - Ernest Shen
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Sameer B. Murali
- Center for Obesity Medicine & Metabolic Performance, Department of Surgery, University of Texas McGovern Medical School, Houston, Texas, USA
| | - Karen J. Coleman
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
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Grandner MA, Valencia DY, Seixas AA, Oliviér K, Gallagher RA, Killgore WDS, Hale L, Branas C, Alfonso-Miller P. Development and Initial Validation of the Assessment of Sleep Environment (ASE): Describing and Quantifying the Impact of Subjective Environmental Factors on Sleep. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:13599. [PMID: 36294179 PMCID: PMC9602531 DOI: 10.3390/ijerph192013599] [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: 09/27/2022] [Revised: 10/17/2022] [Accepted: 10/18/2022] [Indexed: 06/16/2023]
Abstract
The purpose of this study was to develop and test the reliability and validity of a 13-item self-report Assessment of Sleep Environment (ASE). This study investigates the relationship between subjective experiences of environmental factors (light, temperature, safety, noise, comfort, humidity, and smell) and sleep-related parameters (insomnia symptoms, sleep quality, daytime sleepiness, and control over sleep). The ASE was developed using an iterative process, including literature searches for item generation, qualitative feedback, and pilot testing. It was psychometrically assessed using data from the Sleep and Healthy Activity Diet Environment and Socialization (SHADES) study (N = 1007 individuals ages 22-60). Reliability was determined with an internal consistency and factor analysis. Validity was evaluated by comparing ASE to questionnaires of insomnia severity, sleep quality, daytime sleepiness, sleep control, perceived stress, and neighborhood disorder. The ASE demonstrated high internal consistency and likely reflects a single factor. ASE score was associated with insomnia symptoms (B = 0.09, p < 0.0001), sleep quality (B = 0.07, p < 0.0001), and sleep control (B = -0.01, p < 0.0001), but not daytime sleepiness. The ASE was also associated with perceived stress (B = 0.20, p < 0.0001) and neighborhood disorder (B = -0.01, p < 0.0001). Among sleep environment factors, only smell was not associated with sleep quality; warmth and safety were negatively associated with sleepiness; and of the sleep environment factors, only light/dark, noise/quiet, and temperature (warm/cool) were not associated with insomnia symptoms. The ASE is a reliable and valid measure of sleep environment. Physical environment (light, temperature, safety, noise, comfort, humidity, and smell) was associated with insomnia symptoms and sleep quality but not sleepiness.
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Affiliation(s)
- Michael A. Grandner
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona, Tucson, AZ 85724, USA
| | - Dora Y. Valencia
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona, Tucson, AZ 85724, USA
| | - Azizi A. Seixas
- Department of Population Health, NYU Langone Medical Center, New York, NY 10016, USA
| | - Kayla Oliviér
- Sleep and Health Research Program, Department of Psychiatry, University of Arizona, Tucson, AZ 85724, USA
| | - Rebecca A. Gallagher
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Lauren Hale
- Department of Family, Population, and Preventive Medicine, Program in Public Health, Stony Brook University, Stony Brook, NY 11794, USA
| | - Charles Branas
- Department of Epidemiology, Columbia University, New York, NY 10032, USA
| | - Pamela Alfonso-Miller
- Northumbria Sleep Research, Department of Psychology, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
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Henry L, Paik J, Younossi ZM. Review article: the epidemiologic burden of non-alcoholic fatty liver disease across the world. Aliment Pharmacol Ther 2022; 56:942-956. [PMID: 35880713 DOI: 10.1111/apt.17158] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/06/2022] [Accepted: 07/13/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND The prevalence of non-alcoholic fatty liver disease (NAFLD) is increasing in parallel with obesity and type 2 diabetes. AIM To review the global epidemiology of NAFLD METHODS: We retrieved articles from PubMed using search terms of NAFLD, epidemiology, prevalence, incidence, and comorbidities. RESULTS Over 250 articles were reviewed. In 2016, the global NAFLD prevalence was 25%; this increased to >30% in 2019. Prevalence in Asia, Latin America and Middle East-North Africa (MENA) was 30.8%, 34.5% and 42.6%, respectively. Prevalence increased with age. Although prevalence was higher in men, prevalence in post-menopausal women was similar. NAFLD prevalence was higher in certain subpopulations, especially among the obese and those with metabolic syndrome (MS). However, the prevalence of lean NAFLD was 11.2%. The global prevalence of non-alcoholic steatohepatitis (NASH) is estimated between 2% and 6% in the general population. Approximately 7% of patients with NAFLD have advanced fibrosis; rates were between 21% and 50% among patients with NASH. Overall mortality related to NAFLD was 15-20 per 1000 person-years, and increased substantially in patients with NASH, especially in those with components of MS. Recent data suggest mortality/morbidity from NAFLD is increasing globally but NAFLD awareness remains low among patients and healthcare providers. CONCLUSIONS NAFLD poses a global public health problem with a very high disease burden in Asia, MENA and Latin America. Research is needed to better quantify the full impact of NAFLD and to develop strategies to improve awareness and risk stratification.
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Affiliation(s)
- Linda Henry
- Center for Liver Diseases, Department of Medicine, Inova Fairfax Medical Campus, Falls Church, Virginia, USA
| | - James Paik
- Betty and Guy Beatty Center for Integrated Research, Inova Health System, Falls Church, Virginia, USA
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17
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Kim B, Branas CC, Rudolph KE, Morrison CN, Chaix B, Troxel WM, Duncan DT. Neighborhoods and sleep health among adults: A systematic review. Sleep Health 2022; 8:322-333. [DOI: 10.1016/j.sleh.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 03/21/2022] [Accepted: 03/23/2022] [Indexed: 11/26/2022]
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Grosicki GJ, Bunsawat K, Jeong S, Robinson AT. Racial and ethnic disparities in cardiometabolic disease and COVID-19 outcomes in White, Black/African American, and Latinx populations: Social determinants of health. Prog Cardiovasc Dis 2022; 71:4-10. [PMID: 35490870 PMCID: PMC9047517 DOI: 10.1016/j.pcad.2022.04.004] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 04/24/2022] [Indexed: 02/07/2023]
Abstract
Racial and ethnic-related health disparities in the United States have been intensified by the greater burden of Coronavirus Disease 2019 (COVID-19) in racial and ethnic minority populations. Compared to non-Hispanic White individuals, non-Hispanic Black and Hispanic/Latinx individuals infected by COVID-19 are at greater risk for hospitalization, intensive care unit admission, and death. There are several factors that may contribute to disparities in COVID-19-related severity and outcomes in these minority populations, including the greater burden of cardiovascular and metabolic diseases as discussed in our companion review article. Social determinants of health are a critical, yet often overlooked, contributor to racial and ethnic-related health disparities in non-Hispanic Black and Hispanic/Latinx individuals relative to non-Hispanic White individuals. Thus, the purpose of this review is to focus on the essential role of social factors in contributing to health disparities in chronic diseases and COVID-19 outcomes in minority populations. Herein, we begin by focusing on structural racism as a social determinant of health at the societal level that contributes to health disparities through downstream social level (e.g., occupation and residential conditions) and individual level health behaviors (e.g., nutrition, physical activity, and sleep). Lastly, we conclude with a discussion of practical applications and recommendations for future research and public health efforts that seek to reduce health disparities and overall disease burden.
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Affiliation(s)
- Gregory J Grosicki
- Department of Health Sciences and Kinesiology, Biodynamics and Human Performance Center, Georgia Southern University (Armstrong Campus), Savannah, GA 31419, USA
| | - Kanokwan Bunsawat
- Department of Internal Medicine, Division of Geriatrics, University of Utah, Salt Lake City, UT 84132, USA; Geriatric Research, Education, and Clinical Center, George E. Wahlen Department of Veterans Affairs Medical Center, Salt Lake City, UT 84148, USA
| | - Soolim Jeong
- Neurovascular Physiology Laboratory, School of Kinesiology, Auburn University, Auburn, AL 36849, USA
| | - Austin T Robinson
- Neurovascular Physiology Laboratory, School of Kinesiology, Auburn University, Auburn, AL 36849, USA.
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Health-Related Social Needs Facing Youth with NonAlcoholic Fatty Liver Disease. JPGN REPORTS 2022; 3:e153. [PMID: 35706461 PMCID: PMC9191845 DOI: 10.1097/pg9.0000000000000153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Background The objective of this study was to identify the prevalence of health-related social needs among youth with nonalcoholic fatty liver disease (NAFLD). Methods Retrospective review of prospectively administered health-related social needs questionnaires from Steatohepatitis Clinics. Results Patients with NAFLD (n=271) were predominantly male (72%), and non-Hispanic (68%). The most common unmet need was food insecurity (13%, n=36). Families who endorsed food insecurity at the first visit were 27-fold more likely to have unmet health-related social needs persist at subsequent visits than those who were food-secure at their first visit (95% CI: 6.7-111). Conclusion Screening for social, economic, and environmental needs may identify previously unrecognized family challenges and may enhance intervention delivery, inform resource allocation, and improve outcomes.
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20
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Johnson DA, Jackson CL, Guo N, Sofer T, Laden F, Redline S. Perceived home sleep environment: associations of household-level factors and in-bed behaviors with actigraphy-based sleep duration and continuity in the Jackson Heart Sleep Study. Sleep 2021; 44:zsab163. [PMID: 34283244 PMCID: PMC8678916 DOI: 10.1093/sleep/zsab163] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 06/09/2021] [Indexed: 11/13/2022] Open
Abstract
STUDY OBJECTIVES In an older African-American sample (n = 231) we tested associations of the household environment and in-bed behaviors with sleep duration, efficiency, and wakefulness after sleep onset (WASO). METHODS Older adult participants completed a household-level sleep environment questionnaire, a sleep questionnaire, and underwent 7-day wrist actigraphy for objective measures of sleep. Perceived household environment (self-reported) was evaluated using questions regarding safety, physical comfort, temperature, noise, and light disturbances. In-bed behaviors included watching television, listening to radio/music, use of computer/tablet/phone, playing video games, reading books, and eating. To estimate the combined effect of the components in each domain (perceived household environment and in-bed behaviors), we calculated and standardized a weighted score per sleep outcome (e.g. duration, efficiency, WASO), with a higher score indicating worse conditions. The weights were derived from the coefficients of each component estimated from linear regression models predicting each sleep outcome while adjusting for covariates. RESULTS A standard deviation increase in an adverse household environment score was associated with lower self-reported sleep duration (β = -13.9 min, 95% confidence interval: -26.1, -1.7) and actigraphy-based sleep efficiency (β = -0.7%, -1.4, 0.0). A standard deviation increase in the in-bed behaviors score was associated with lower actigraphy-based sleep duration (β = -9.7 min, -18.0, -1.3), sleep efficiency (β = -1.2%, -1.9, -0.6), and higher WASO (5.3 min, 2.1, 8.6). CONCLUSION Intervening on the sleep environment, including healthy sleep practices, may improve sleep duration and continuity among African-Americans.
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Affiliation(s)
- Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Chandra L Jackson
- Department of Health and Human Services, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Triangle Park, NC, USA
- Intramural Program, Department of Health and Human Services, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Na Guo
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Exposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Chung J, Goodman M, Huang T, Wallace ML, Johnson DA, Bertisch S, Redline S. Racial-ethnic Differences in Actigraphy, Questionnaire, and Polysomnography Indicators of Healthy Sleep: The Multi-Ethnic Study of Atherosclerosis. Am J Epidemiol 2021; 193:kwab232. [PMID: 34498675 DOI: 10.1093/aje/kwab232] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 08/11/2021] [Accepted: 09/02/2021] [Indexed: 11/14/2022] Open
Abstract
A paradigm shift in sleep science argues for a systematic, multidimensional approach to investigate sleep's association with disease and mortality and to address sleep disparities. We utilized the comprehensive sleep assessment of the Multi-Ethnic Study of Atherosclerosis (2010- 2013), a cohort of U.S. White, Black, Chinese, and Hispanic adults and older adults (n=1,736; mean age=68.3), to draw 13 sleep dimensions and create composite Sleep Health Scores to quantify multidimensional sleep health disparities. After age and sex adjustment in linear regression, compared to White participants, Black participants showed the greatest global sleep disparity, then Hispanic and Chinese participants. We estimated relative 'risk' of obtaining favorable sleep compared to White adults at the component level by race/ethnicity (lower is worse). The largest disparities were in objectively-measured sleep timing regularity (RRBlack [95% CI]: 0.37 [0.29,0.47], RRHispanic: 0.64 [0.52,0.78], RRChinese: 0.70 [0.54,0.90]) and duration regularity (RRBlack: 0.55 [0.47,0.65], RRHispanic: 0.76 [0.66,0.88], RRChinese: 0.74 [0.61,0.90]), after sex and age adjustment. Disparities in duration and continuity were also apparent, and Black adults were additionally disadvantaged in %N3 (slow wave sleep), sleepiness, and sleep timing (24-hour placement). Sleep timing regularity, duration regularity, duration, and continuity may comprise a multidimensional cluster of targets to reduce racial-ethnic sleep disparities.
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Affiliation(s)
- Joon Chung
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Matthew Goodman
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Tianyi Huang
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Meredith L Wallace
- Department of Psychiatry, University of Pittsburgh, PA
- Department of Biostatistics, University of Pittsburgh, PA
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Suzanne Bertisch
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
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22
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dos Santos AE, Araujo RHDO, Couto JO, da Silva DRP, Silva RJDS. Daily physical activity, human development index and insomnia in a representative sample of Brazilian adolescents: a cross-sectional analysis. SAO PAULO MED J 2021; 139:481-488. [PMID: 34378737 PMCID: PMC9632537 DOI: 10.1590/1516-3180.2020.0745.r1.0604221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/05/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Although there is a growing body of research pointing towards the need to investigate how different movement behaviors, such as physical activity and sleep, influence each other, the joint relationship between these factors and insomnia has been little explored among adolescents in developing countries. OBJECTIVES To investigate the association between daily physical activity and insomnia in a national sample of Brazilian adolescents, according to the Human Development Index (HDI) of each Brazilian region. DESIGN AND SETTINGS Cross-sectional study on 102,072 Brazilian students aged 11 to 19 years, selected from all regions of the country. METHODS Information on insomnia and physical activity was self-reported by adolescents. RESULTS Our analyses revealed that girls who accumulated at least 60 minutes/day of physical activity on up to three days/week were less prone to present insomnia. This pattern of association was maintained only for those who lived in high HDI regions (odds ratio, 0.87; 95% confidence interval, 0.75-0.99). For boys, there was a positive association between the number of active days and protection against insomnia, especially for those who lived in high HDI regions. CONCLUSION Even amounts of physical activity that were lower than the weekly guidelines, were associated with better sleep quality for Brazilian adolescents, especially girls, and even for those who lived in regions with greater social and economic vulnerability.
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Affiliation(s)
- Antônio Evaldo dos Santos
- MSc. Physical Education Professional, Department of Physical Education, Universidade Federal de Sergipe (UFS), São Cristóvão (SE), Brazil.
| | | | - Josiene Oliveira Couto
- MSc. Physical Education Professional, Department of Physical Education, Universidade Federal de Sergipe (UFS), São Cristóvão (SE), Brazil.
| | - Danilo Rodrigues Pereira da Silva
- PhD. Physical Education Professional, Department of Physical Education, Universidade Federal de Sergipe (UFS), São Cristóvão (SE), Brazil.
| | - Roberto Jerônimo dos Santos Silva
- PhD. Physical Education Professional, Department of Physical Education, Universidade Federal de Sergipe (UFS), São Cristóvão (SE), Brazil.
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Trauma-informed neighborhoods: Making the built environment trauma-informed. Prev Med Rep 2021; 23:101501. [PMID: 34367888 PMCID: PMC8326416 DOI: 10.1016/j.pmedr.2021.101501] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 12/25/2022] Open
Abstract
Many individuals and communities have a history of trauma. Neighborhood built environments can trigger re-traumatization or foster healing. Trauma-informed approaches merit attention in urban design and public planning. Research is needed to explore the idea of trauma-informed neighborhoods. Trauma-informed neighborhoods may promote individual and community well-being.
Trauma is a response to a deeply distressing or disturbing event, such as sexual assault, violent crime, or childhood abuse. Trauma has impacted the majority of Americans, with racial/ethnic minority and socioeconomically disadvantaged populations being disproportionately affected. Extensive evidence demonstrates trauma’s harmful effects on physical and psychosocial functioning and healthcare costs. Over the past decade, there has been greater recognition of the need to respond to trauma across various care delivery and program settings. Such recognition led to development of trauma-informed care, an approach that acknowledges trauma’s widespread impact and delivers care in a manner to promote healing and avoid re-traumatization. To date, trauma-informed approaches have been applied to clinical interventions, social programs, and community organizations. However trauma-informed approaches have not been widely applied to the built environment. Here, we propose the concept of a trauma-informed neighborhood. The idea of a trauma-informed neighborhood has not been elucidated in public health or medicine, yet merits attention because physical aspects of the neighborhood environment, such as lighting, traffic density, noise, and greenspace, may either trigger trauma or promote healing for individuals and communities. Research using geospatial, population health, and community-engaged approaches is needed and could build from the existing literature on how the built environment impacts mental health. Evidence would have direct implications for public policy and urban planning, particularly for neighborhoods where residents bear a disproportionate trauma burden. Until the built environment is routinely included in trauma-informed efforts, a key setting that influences trauma recovery, health, and well-being will remain overlooked.
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Mayne SL, Morales KH, Williamson AA, Grant SFA, Fiks AG, Basner M, Dinges DF, Zemel BS, Mitchell JA. Associations of the residential built environment with adolescent sleep outcomes. Sleep 2021; 44:6121932. [PMID: 33507268 DOI: 10.1093/sleep/zsaa276] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 12/02/2020] [Indexed: 01/13/2023] Open
Abstract
STUDY OBJECTIVES Over 75% of US high school students obtain insufficient sleep, placing them at risk for adverse health outcomes. Identification of modifiable determinants of adolescent sleep is needed to inform prevention strategies, yet little is known about the influence of the built environment on adolescent sleep. METHODS In this prospective study, actigraphy was used to assess sleep outcomes among 110 adolescents for 14 days each in eighth and ninth grades: duration (hours/night), onset and offset, and sleeping ≥8 hours. Home addresses were linked to built environment exposures: sound levels, tree canopy cover, street density, intersection density, population density, and housing density. Mixed-effects regression estimated associations of built environment measures with sleep outcomes, adjusting for sex, race, parent education, household income, household size, grade, weeknight status, and neighborhood poverty. RESULTS A 1-standard deviation (SD) increase in neighborhood sound was associated with 16 minutes later sleep onset (β = 0.28; 95% confidence interval (CI): 0.06, 0.49) and 25% lower odds of sleeping for ≥8 hours (odds ratio (OR) = 0.75, 95% CI: 0.59, 0.96). A 1-SD increase in neighborhood tree canopy was associated with 18 minutes earlier sleep onset (β = -0.31, 95% CI: -0.49, -0.13) and 10 minutes earlier sleep offset (β= -0.17, 95% CI: -0.28, -0.05). No associations were observed for density-based exposures. CONCLUSIONS Higher neighborhood sound level was associated with lower odds of sufficient sleep, while higher tree canopy cover was associated with more favorable sleep timing. Neighborhood sound levels and tree canopy cover are potential targets for policies and interventions to support healthier sleep among adolescents.
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Affiliation(s)
- Stephanie L Mayne
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA.,Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Knashawn H Morales
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Ariel A Williamson
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA.,Center for Pediatric Clinical Effectiveness, Children's Hospital of Philadelphia, Philadelphia, PA.,Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Sleep Center, Children's Hospital of Philadelphia, Philadelphia, PA.,Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, PA.,Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Struan F A Grant
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Center for Spatial and Functional Genomics, Division of Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA.,Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Alexander G Fiks
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,PolicyLab, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Mathias Basner
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - David F Dinges
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Babette S Zemel
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Jonathan A Mitchell
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.,Division of Gastroenterology, Hepatology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, PA
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Hirsch JA, Moore KA, Cahill J, Quinn J, Zhao Y, Bayer FJ, Rundle A, Lovasi GS. Business Data Categorization and Refinement for Application in Longitudinal Neighborhood Health Research: a Methodology. J Urban Health 2021; 98:271-284. [PMID: 33005987 PMCID: PMC8079597 DOI: 10.1007/s11524-020-00482-2] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/04/2020] [Indexed: 12/31/2022]
Abstract
Retail environments, such as healthcare locations, food stores, and recreation facilities, may be relevant to many health behaviors and outcomes. However, minimal guidance on how to collect, process, aggregate, and link these data results in inconsistent or incomplete measurement that can introduce misclassification bias and limit replication of existing research. We describe the following steps to leverage business data for longitudinal neighborhood health research: re-geolocating establishment addresses, preliminary classification using standard industrial codes, systematic checks to refine classifications, incorporation and integration of complementary data sources, documentation of a flexible hierarchical classification system and variable naming conventions, and linking to neighborhoods and participant residences. We show results of this classification from a dataset of locations (over 77 million establishment locations) across the contiguous U.S. from 1990 to 2014. By incorporating complementary data sources, through manual spot checks in Google StreetView and word and name searches, we enhanced a basic classification using only standard industrial codes. Ultimately, providing these enhanced longitudinal data and supplying detailed methods for researchers to replicate our work promotes consistency, replicability, and new opportunities in neighborhood health research.
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Affiliation(s)
- Jana A. Hirsch
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, PA Philadelphia, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA USA
| | - Kari A. Moore
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA USA
| | - Jesse Cahill
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY USA
| | - James Quinn
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY USA
| | - Yuzhe Zhao
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA USA
| | - Felicia J. Bayer
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA USA
| | - Andrew Rundle
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York City, NY USA
| | - Gina S. Lovasi
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, PA Philadelphia, USA
- Urban Health Collaborative, Dornsife School of Public Health, Drexel University, Philadelphia, PA USA
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26
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Lukic R, Olstad DL, Doyle-Baker PK, Potestio ML, McCormack GR. Associations between neighbourhood street pattern, neighbourhood socioeconomic status and sleep in adults. Prev Med Rep 2021; 22:101345. [PMID: 33850695 PMCID: PMC8022243 DOI: 10.1016/j.pmedr.2021.101345] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 01/22/2021] [Accepted: 02/22/2021] [Indexed: 12/05/2022] Open
Abstract
Sleep duration is a risk factor for poor health and all-cause mortality. Evidence suggests that neighbourhood characteristics such as built environment and socioeconomic status (SES) may affect sleep duration in adults. This study examined the relationship between neighbourhood built environment (i.e., measured via the street pattern) and SES with sleep duration in adults (n = 797) from 12 neighbourhoods in Calgary (Canada). Covariate adjusted linear and multinomial logistic regression models estimated the associations between street pattern (grid, warped-grid, curvilinear), SES and sleep duration. We also tested if the interaction between street pattern and SES was associated with sleep duration. Although neighbourhood street pattern and neighbourhood SES were not independently associated with sleep, the interaction between street pattern and neighbourhood SES, was associated with mean sleep duration. Individuals living in curvilinear low SES neighbourhoods had the shortest sleep duration (6.93 h per day; 95% CI 6.68, 7.18), while those living in curvilinear high SES neighbourhoods slept the longest (7.43 h per day; 95% CI 7.29, 7.57). Neighbourhood street pattern and SES, as well as their interaction, were not associated with the odds of sleeping shorter or longer than 7 to 8 h per day. Our findings suggest that the combined effect of the neighbourhood built environment and SES is potentially important for influencing sleep duration. More research is needed to understand the complex interrelationships between the built environment, SES, and sleep.
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Affiliation(s)
- R Lukic
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada
| | - D L Olstad
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada
| | - P K Doyle-Baker
- Faculty of Kinesiology, University of Calgary, Canada.,School of Planning, Architecture, and Landscape, University of Calgary, Canada
| | - M L Potestio
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada
| | - G R McCormack
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Canada.,Faculty of Kinesiology, University of Calgary, Canada.,School of Planning, Architecture, and Landscape, University of Calgary, Canada.,Faculty of Sport Sciences, Waseda University, Japan
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27
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Ghosh-Dastidar M, Hunter GP, Sloan JC, Collins RL, Richardson AS, Troxel W, Colabianchi N, Dubowitz T. An audit tool for longitudinal assessment of the health-related characteristics of urban neighborhoods: implementation methods and reliability results. BMC Public Health 2020; 20:1519. [PMID: 33028312 PMCID: PMC7542910 DOI: 10.1186/s12889-020-09424-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2020] [Accepted: 08/23/2020] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Improving the neighborhood environment may help address chronic disease and mortality. To identify neighborhood features that are predictors of health, objective assessments of the environment are used. Multiple studies have reported on cross-sectional assessments of health-related neighborhood features using direct observation. As study designs expand to better understand causation and predictors of change, there is a need to test whether direct observation methods are adequate for longitudinal assessment. To our knowledge, this is the first study to report on the reliability of repeated measurements of the neighborhood environment, and their stability, over time. METHODS The Pittsburgh Hill/Homewood Research on Neighborhood Change and Health (PHRESH) study conducted longitudinal assessments in two low-income, African American neighborhoods at three waves (years 2012, 2015, 2017). The PHRESH audit tool is a modification of earlier validated tools, with an emphasis on environment features relevant for physical activity, sleep, and obesogenic behaviors. Trained data-collector pairs conducted direct observations of a 25% sample of street segments in each neighborhood. At each wave, we audited a sub-sample of street segments twice and assessed reliability using percentage inter-observer agreement and krippendorf's alpha statistics. Stability of these items was assessed as exhibiting moderate or high agreement at every time point. RESULTS Across waves, a majority (81%) of the items consistently demonstrated moderate to high agreement except for items such as public/communal space, amount of shade, sidewalk features, number of traffic lanes, garden/flower bed/planter, art/statue/monument, amount of trash, and physical disorder. The list of items with poor agreement includes features that are easy to miss (e.g. flower bed/planter), hard to assess from outside (e.g. public/communal space), or may change quickly (e.g. amount of trash). CONCLUSION In this paper, we have described implementation methods, reliability results and lessons learned to inform future studies of change. We found the use of consistent methods allowed us to conduct reliable, replicable longitudinal assessments of the environment. Items that did not exhibit stability are less useful for detecting real change over time. Overall, the PHRESH direct observation tool is an effective and practical instrument to detect change in the neighborhood environment.
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Affiliation(s)
| | - Gerald P. Hunter
- RAND Corporation Pittsburgh, 4570 Fifth Ave #600, Pittsburgh, PA 15213 USA
| | - Jennifer C. Sloan
- The Pittsburgh Foundation, Five PPG Place, Suite 250, Pittsburgh, PA 15222 USA
| | | | | | - Wendy Troxel
- RAND Corporation Pittsburgh, 4570 Fifth Ave #600, Pittsburgh, PA 15213 USA
| | - Natalie Colabianchi
- University of Michigan, 1402 Washington Heights, Ann Arbor, MI 48109-2013 USA
| | - Tamara Dubowitz
- RAND Corporation Pittsburgh, 4570 Fifth Ave #600, Pittsburgh, PA 15213 USA
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28
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Billings ME, Cohen RT, Baldwin CM, Johnson DA, Palen BN, Parthasarathy S, Patel SR, Russell M, Tapia IE, Williamson AA, Sharma S. Disparities in Sleep Health and Potential Intervention Models: A Focused Review. Chest 2020; 159:1232-1240. [PMID: 33007324 PMCID: PMC7525655 DOI: 10.1016/j.chest.2020.09.249] [Citation(s) in RCA: 115] [Impact Index Per Article: 28.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Revised: 08/25/2020] [Accepted: 09/24/2020] [Indexed: 12/14/2022] Open
Abstract
Disparities in sleep health are important but underrecognized contributors to health disparities. Understanding the factors contributing to sleep heath disparities and developing effective interventions are critical to improving all aspects of heath. Sleep heath disparities are impacted by socioeconomic status, racism, discrimination, neighborhood segregation, geography, social patterns, and access to health care as well as by cultural beliefs, necessitating a cultural appropriateness component in any intervention devised for reducing sleep health disparities. Pediatric sleep disparities require innovative and urgent intervention to establish a foundation of lifelong healthy sleep. Tapping the vast potential of technology in improving sleep health access may be an underutilized tool to reduce sleep heath disparities. Identifying, implementing, replicating, and disseminating successful interventions to address sleep disparities have the potential to reduce overall disparities in health and quality of life.
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Affiliation(s)
- Martha E Billings
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington School of Medicine, Seattle, WA
| | - Robyn T Cohen
- Department of Pediatrics, Boston Medical Center, Boston University School of Medicine, Boston, MA
| | - Carol M Baldwin
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Brian N Palen
- Division of Pulmonary, Critical Care, and Sleep Medicine, University of Washington School of Medicine, Seattle, WA; Veterans Affairs Puget Sound Health Care System, Seattle, WA
| | | | - Sanjay R Patel
- Center for Sleep and Cardiovascular Outcomes Research, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Maureen Russell
- Northern Arizona University, Institute for Human Development, Flagstaff, AZ
| | - Ignacio E Tapia
- Sleep Center, Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Ariel A Williamson
- Sleep Center, Division of Pulmonary Medicine, Children's Hospital of Philadelphia, Philadelphia, PA; University of Pennsylvania Perelman School of Medicine, Philadelphia, PA; Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Philadelphia, PA
| | - Sunil Sharma
- Division of Pulmonary, Critical Care, and Sleep Medicine, West Virginia University, WV.
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29
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Yodoshi T, Orkin S, Arce Clachar AC, Bramlage K, Sun Q, Fei L, Beck AF, Xanthakos SA, Trout AT, Mouzaki M. Muscle Mass Is Linked to Liver Disease Severity in Pediatric Nonalcoholic Fatty Liver Disease. J Pediatr 2020; 223:93-99.e2. [PMID: 32711755 PMCID: PMC8017767 DOI: 10.1016/j.jpeds.2020.04.046] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 03/31/2020] [Accepted: 04/16/2020] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To investigate the association between muscle mass and liver disease severity in pediatric patients with non-alcoholic fatty liver disease (NAFLD). STUDY DESIGN This was a retrospective study of patients aged <20 years followed from 2009 to 2018. Muscle mass was estimated in all patients by measuring magnetic resonance imaging-based total psoas muscle surface area (tPMSA) and correcting for height (tPMSA index = tPMSA/height2). Two cohorts were studied, one with histological confirmation of NAFLD (n = 100) and the other with magnetic resonance imaging (MRI) evidence of hepatic steatosis (n = 236). Histology was scored using Nonalcoholic Steatohepatitis Clinical Research Network (NASH CRN) criteria. MRI-measured proton density fat fraction (PDFF) and liver stiffness were collected. Demographic, clinical, and socioeconomic status (using a validated Community Deprivation Index [CDI]) were assessed as covariates. Univariate regression analyses, followed by multivariable regression analyses, were used to determine the relationships between tPMSA index and NAS, MRI-PDFF, and liver stiffness, adjusting for clinical, demographic, and CDI variables. RESULTS In the multivariable regression analyses, higher steatosis score was associated with a lower tPMSA index (OR, 0.73; 95% CI, 0.56-0.96) and younger age (OR, 0.84; 95% CI, 0.73-0.97). Liver PDFF was also significantly associated with the tPMSA index (P = .029), sex (P = .019), and CDI (P = .005). In contrast, liver stiffness was not associated with tPMSA in multivariable analyses. CONCLUSIONS tPMSA index was independently associated with both imaging and histological features of hepatic steatosis severity in children. Future studies should directly explore the presence and directionality of causative links between muscle mass and steatosis, as well as whether interventions that enhance muscle mass can reduce disease severity in children with NAFLD.
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Affiliation(s)
- Toshifumi Yodoshi
- Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Sarah Orkin
- Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Ana-Catalina Arce Clachar
- Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Kristin Bramlage
- Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Qin Sun
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Lin Fei
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Division of Biostatistics and Epidemiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Andrew F. Beck
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,James M. Anderson Center for Health Systems Excellence, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Division of General and Community Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Stavra A. Xanthakos
- Division of Gastroenterology, Hepatology, and Nutrition, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH,Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Andrew T. Trout
- Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
| | - Marialena Mouzaki
- Division of Gastroenterology, Hepatology, and Nutrition, University of Cincinnati College of Medicine, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH.
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30
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Wilk P, Stranges S, Maltby A. Geographic variation in short and long sleep duration and poor sleep quality: a multilevel analysis using the 2015-2018 Canadian community health survey. Sleep Health 2020; 6:676-683. [PMID: 32335041 DOI: 10.1016/j.sleh.2020.02.018] [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: 09/25/2019] [Revised: 01/06/2020] [Accepted: 02/28/2020] [Indexed: 12/01/2022]
Abstract
BACKGROUND There is a dearth of evidence on geographic variation in sleep duration and quality, and about the effect of geographic location or "place" on sleep. The objective was to assess the magnitude of geographic variation in sleep duration and sleep quality in Canada, while controlling for individual-level factors. METHODS Data from the 2015-2018 cycles of the Canadian Community Health Survey were used. The sample consisted of 96,484 respondents from 6 provinces. Multilevel logistic regression techniques were used to assess the magnitude of geographic variation in self-reported measures of short and long sleep duration and 3 indicators of sleep quality (difficulty initiating and maintaining sleep, daytime sleepiness, and finding sleep refreshing) across geographic areas, defined by the boundaries of Forward Sortation Areas. RESULTS Overall, 45.31% of respondents reported short sleep, 2.31% reported long sleep, 46.97% had difficulty initiating and maintaining sleep, 29.50% had daytime sleepiness, and 39.11% did not find their sleep refreshing. After controlling for individual-level factors, geographic variation accounted for 4.00% and 13.67% of overall variance in short and long sleep duration, respectively; the corresponding estimates for difficulty initiating and maintaining sleep, daytime sleepiness, and finding sleep refreshing were 3.04%, 3.80%, and 5,08%, respectively. CONCLUSIONS There is a significant level of geographic variation in short and long sleep duration and sleep quality and this variation cannot be accounted for by differential distribution of individual characteristics across geographic areas. Future research is warranted to examine specific contextual factors that can account for this variation.
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Affiliation(s)
- Piotr Wilk
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, Kresge Building, Room K201, 1151 Richmond Street, London, Ontario N6A 5C1, Canada; Department of Paediatrics, 800 Commissioners Road East, London, Ontario N6C 2V5, Canada; Child Health Research Institute, 800 Commissioners Road East, London, Ontario N6C 2V5, Canada.
| | - Saverio Stranges
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, Kresge Building, Room K201, 1151 Richmond Street, London, Ontario N6A 5C1, Canada; Department of Family Medicine, Schulich School of Medicine & Dentistry, Western University, Western Centre for Public Health and Family Medicine, 1465 Richmond St, London, Ontario N6G 2M1, Canada; Epidemiology and Public Health Research Unit, Department of Population Health, Luxembourg Institute of Health, 1A-B rue Thomas Edison, Strassen L-1445, Luxembourg
| | - Alana Maltby
- Department of Epidemiology and Biostatistics, Schulich School of Medicine and Dentistry, Western University, Kresge Building, Room K201, 1151 Richmond Street, London, Ontario N6A 5C1, Canada
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Abstract
BACKGROUND AND OBJECTIVES Nonalcoholic fatty liver disease (NAFLD) is linked to obesity. Obesity is associated with lower socioeconomic status (SES). An independent link between pediatric NAFLD and SES has not been elucidated. The objective of this study was to evaluate the distribution of socioeconomic deprivation, measured using an area-level proxy, in pediatric patients with known NAFLD and to determine whether deprivation is associated with liver disease severity. METHODS Retrospective study of patients <21 years with NAFLD, followed from 2009 to 2018. The patients' addresses were mapped to census tracts, which were then linked to the community deprivation index (CDI; range 0--1, higher values indicating higher deprivation, calculated from six SES-related variables available publicly in US Census databases). RESULTS Two cohorts were evaluated; 1 with MRI (magnetic resonance imaging) and/or MRE (magnetic resonance elastography) findings indicative of NAFLD (n = 334), and another with biopsy-confirmed NAFLD (n = 245). In the MRI and histology cohorts, the majority were boys (66%), non-Hispanic (77%-78%), severely obese (79%-80%), and publicly insured (55%-56%, respectively). The median CDI for both groups was 0.36 (range 0.15-0.85). In both cohorts, patients living above the median CDI were more likely to be younger at initial presentation, time of MRI, and time of liver biopsy. MRI-measured fat fraction and liver stiffness, as well as histologic characteristics were not different between the high- and low-deprivation groups. CONCLUSIONS Children with NAFLD were found across the spectrum of deprivation. Although children from more deprived neighborhoods present at a younger age, they exhibit the same degree of NAFLD severity as their peers from less deprived areas.
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Billings ME, Hale L, Johnson DA. Physical and Social Environment Relationship With Sleep Health and Disorders. Chest 2019; 157:1304-1312. [PMID: 31870910 DOI: 10.1016/j.chest.2019.12.002] [Citation(s) in RCA: 105] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 11/11/2019] [Accepted: 12/09/2019] [Indexed: 12/14/2022] Open
Abstract
Sleep health is a multidimensional construct that includes adequate duration, quality, and appropriately timed sleep that may be influenced by environmental factors. In this review, we focus on how an individual's living and sleeping environment, both the surrounding neighborhood physical and social features and the atmosphere around them, may impact their sleep health. We explore the associations of the physical environment (urban density, recreational facilities, green space, mixed land use, and healthy food stores), neighborhood deprivation (disadvantage and disorder), and the social environment (social cohesion, safety, and stigma) with sleep in both adult and pediatric populations. We investigate how physical and social environmental features may lead to alterations in the timing, duration, and quality of sleep and contribute to the most prevalent sleep disorders: insomnia, sleep apnea, and circadian rhythm disorders. We also review how ambient factors such as artificial light, environmental noise, and air pollution may contribute to sleep pathology. We have included key studies and recent emerging data regarding how the differential distribution of environmental factors that may affect sleep health may contribute to sleep health disparities.
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Affiliation(s)
- Martha E Billings
- Division of Pulmonary, Critical Care & Sleep Medicine, Department of Medicine, University of Washington School of Medicine, Seattle, WA.
| | - Lauren Hale
- Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY
| | - Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA
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33
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Johnson DA, Jackson CL, Williams NJ, Alcántara C. Are sleep patterns influenced by race/ethnicity - a marker of relative advantage or disadvantage? Evidence to date. Nat Sci Sleep 2019; 11:79-95. [PMID: 31440109 PMCID: PMC6664254 DOI: 10.2147/nss.s169312] [Citation(s) in RCA: 204] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2019] [Accepted: 05/09/2019] [Indexed: 12/25/2022] Open
Abstract
Sleep is a fundamental necessity of life. However, sleep health and sleep disorders are not equitably distributed across racial/ethnic groups. In fact, growing research consistently demonstrates that racial/ethnic minorities are more likely to experience, for instance, shorter sleep durations, less deep sleep, inconsistent sleep timing, and lower sleep continuity in comparison to Whites. However, racial/ethnic disparities in reports of sleepiness and sleep complaints are inconsistent. Racial/ethnic groups have significant heterogeneity, yet within-group analyses are limited. Among the few published within-group analyses, there are differences in sleep between non-US-born and US-born racial/ethnic groups, but the group with the more favorable sleep profile is consistent for non-US-born Latinos compared to US-born Latinos and Whites but unclear for other racial/ethnic minority groups. These sleep health disparities are a significant public health problem that should garner support for more observational, experimental, intervention, and policy/implementation research. In this review, we 1) summarize current evidence related to racial/ethnic disparities in sleep health and within-group differences, focusing on the sleep of the following racial/ethnic minority categories that are defined by the United States Office of Management and Budget as: American Indian/Alaska Native, Asian, African American/Black, Hispanic/Latino, and Native Hawaiian/Pacific Islander; 2) discuss measurement challenges related to investigating sleep health disparities; 3) discuss potential contributors to sleep health disparities; 4) present promising interventions to address sleep health disparities; and 5) discuss future research directions on intersectionality and sleep health.
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Affiliation(s)
- Dayna A Johnson
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Chandra L Jackson
- Department of Health and Human Services, Epidemiology Branch, National Institute on Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
- Department of Health and Human Services, Intramural Program, National Institute of Minority Health and Health Disparities, Bethesda, MD, USA
| | - Natasha J Williams
- Department of Population Health, New York University School of Medicine, Center for Healthful Behavior Change, New York, NY, USA
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Johnson DA, Billings ME, Hale L. Environmental Determinants of Insufficient Sleep and Sleep Disorders: Implications for Population Health. CURR EPIDEMIOL REP 2018; 5:61-69. [PMID: 29984131 PMCID: PMC6033330 DOI: 10.1007/s40471-018-0139-y] [Citation(s) in RCA: 116] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
PURPOSE OF REVIEW Sleep is important for overall health and well-being. Insufficient sleep and sleep disorders are highly prevalent among adults and children and therefore a public health burden, particularly because poor sleep is associated with adverse health outcomes. Emerging evidence has demonstrated that environmental factors at the household- and neighborhood-level can alter healthy sleep. This paper will (1) review recent literature on the environmental determinants of sleep among adults as well as children and adolescents; and (2) discuss the opportunities and challenges for advancing research on the environment and sleep. RECENT FINDINGS Epidemiologic research has shown that social features of environments, family, social cohesion, safety, noise, and neighborhood disorder can shape and/or impact sleep patterns; and physical features such as light, noise, traffic, pollution, and walkability can also influence sleep and is related to sleep disorders among adults and children. Prior research has mainly measured one aspect of the environment, relied on self-reported sleep, which does not correlate well with objective measures, and investigated cross-sectional associations. Although most studies are conducted among non-Hispanic white populations, there is growing evidence that indicates that minority populations are particularly vulnerable to the effects of the environment on insufficient sleep and sleep disorders. SUMMARY There is clear evidence that environmental factors are associated with insufficient sleep and sleep disorders. However, more research is warranted to evaluate how and which environmental factors contribute to sleep health. Interventions that target changes in the environment to promote healthy sleep should be developed, tested, and evaluated as a possible pathway for ameliorating sleep health disparities and subsequently health disparities.
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Affiliation(s)
- Dayna A. Johnson
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital and Harvard Medical School
| | - Martha E. Billings
- Division of Pulmonary, Critical Care & Sleep Medicine, University of Washington
| | - Lauren Hale
- Department of Family, Population, and Preventive Medicine, Stony Brook University School of Medicine
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