IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i24p9475-d464006.html
   My bibliography  Save this article

Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States

Author

Listed:
  • Dana M. Alhasan

    (Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA)

  • Symielle A. Gaston

    (Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA)

  • W. Braxton Jackson

    (Social & Scientific Systems, Inc., Durham, NC 27703, USA)

  • Patrice C. Williams

    (Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA)

  • Ichiro Kawachi

    (Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA)

  • Chandra L. Jackson

    (Epidemiology Branch, National Institute of Environmental Health Sciences, National Institute of Health, Department of Health and Human Services, Research Triangle Park, Durham, NC 27709, USA
    Intramural Program, National Institute on Minority Health and Health Disparities, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20814, USA)

Abstract

Although low neighborhood social cohesion (nSC) has been linked with poor sleep, studies of racially/ethnically diverse participants using multiple sleep dimensions remain sparse. Using National Health Interview Survey data, we examined overall, age, sex/gender, and racial/ethnic-specific associations between nSC and sleep health among 167,153 adults. Self-reported nSC was categorized into low, medium, and high. Very short sleep duration was defined as <6 hours; short as <7 h, recommended as 7–9 h, and long as ≥9 h. Sleep disturbances were assessed based on trouble falling and staying asleep, waking up feeling unrested, and using sleep medication (all ≥3 days/times in the previous week). Adjusting for sociodemographics and other confounders, we used Poisson regression with robust variance to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for sleep dimensions by low and medium vs. high nSC. The mean age of the sample was 47 ± 0.1 years, 52% of those included were women, and 69% were Non-Hispanic (NH)-White. Low vs. high nSC was associated with a higher prevalence of very short sleep (PR = 1.29; (95% CI = 1.23–1.36)). After adjustment, low vs. high nSC was associated with very short sleep duration among NH-White (PR = 1.34 (95% CI = 1.26–1.43)) and NH-Black (PR = 1.14 (95% CI = 1.02–1.28)) adults. Low nSC was associated with shorter sleep duration and sleep disturbances.

Suggested Citation

  • Dana M. Alhasan & Symielle A. Gaston & W. Braxton Jackson & Patrice C. Williams & Ichiro Kawachi & Chandra L. Jackson, 2020. "Neighborhood Social Cohesion and Sleep Health by Age, Sex/Gender, and Race/Ethnicity in the United States," IJERPH, MDPI, vol. 17(24), pages 1-19, December.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9475-:d:464006
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/24/9475/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/24/9475/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sergio Garbarino & Nicola Magnavita, 2019. "Sleep problems are a strong predictor of stress-related metabolic changes in police officers. A prospective study," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-19, October.
    2. McNeill, Lorna Haughton & Kreuter, Matthew W. & Subramanian, S.V., 2006. "Social Environment and Physical activity: A review of concepts and evidence," Social Science & Medicine, Elsevier, vol. 63(4), pages 1011-1022, August.
    3. Weden, Margaret M. & Carpiano, Richard M. & Robert, Stephanie A., 2008. "Subjective and objective neighborhood characteristics and adult health," Social Science & Medicine, Elsevier, vol. 66(6), pages 1256-1270, March.
    4. Bassett, Emma & Moore, Spencer, 2014. "Neighbourhood disadvantage, network capital and restless sleep: Is the association moderated by gender in urban-dwelling adults?," Social Science & Medicine, Elsevier, vol. 108(C), pages 185-193.
    5. Molinari, Carol & Ahern, Melissa & Hendryx, Michael, 1998. "The relationship of community quality to the health of women and men," Social Science & Medicine, Elsevier, vol. 47(8), pages 1113-1120, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Viniece Jennings & Alessandro Rigolon & Jasmine Thompson & Athena Murray & Ariel Henderson & Richard Schulterbrandt Gragg, 2024. "The Dynamic Relationship between Social Cohesion and Urban Green Space in Diverse Communities: Opportunities and Challenges to Public Health," IJERPH, MDPI, vol. 21(6), pages 1-17, June.
    2. Eunhwa Yang & Aliaa Ismail & Yujin Kim & Ece Erdogmus & Julie Boron & Felicia Goldstein & Jennifer DuBose & Craig Zimring, 2022. "Multidimensional Environmental Factors and Sleep Health for Aging Adults: A Focused Narrative Review," IJERPH, MDPI, vol. 19(23), pages 1-14, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Caspi, Caitlin E. & Kawachi, Ichiro & Subramanian, S.V. & Tucker-Seeley, Reginald & Sorensen, Glorian, 2013. "The social environment and walking behavior among low-income housing residents," Social Science & Medicine, Elsevier, vol. 80(C), pages 76-84.
    2. Jae Seung Lee & Sungjin Park & Sanghoon Jung, 2016. "Effect of Crime Prevention through Environmental Design (CPTED) Measures on Active Living and Fear of Crime," Sustainability, MDPI, vol. 8(9), pages 1-16, August.
    3. Oshio, Takashi & Urakawa, Kunio, 2013. "The association between perceived income inequality and subjective well-being: Evidence from a social survey in Japan," CIS Discussion paper series 579, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    4. Boqin Xie & Chenjuan Ma & Junqiao Wang, 2020. "Independent and Combined Relationships of Perceived Neighborhood Social Cohesion and Physical Frailty on Functional Disability in Community-Dwelling Older Adults," IJERPH, MDPI, vol. 17(16), pages 1-12, August.
    5. Chen, Duan-Rung & Wen, Tzai-Hung, 2010. "Socio-spatial patterns of neighborhood effects on adult obesity in Taiwan: A multi-level model," Social Science & Medicine, Elsevier, vol. 70(6), pages 823-833, March.
    6. Fredrica Nyqvist & Bernd Pape & Tony Pellfolk & Anna Forsman & Kristian Wahlbeck, 2014. "Structural and Cognitive Aspects of Social Capital and All-Cause Mortality: A Meta-Analysis of Cohort Studies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 116(2), pages 545-566, April.
    7. Masood Gheasi & Noriko Ishikawa & Karima Kourtit & Peter Nijkamp, 2019. "A meta-analysis of human health differences in urban and rural environments," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 167-186, December.
    8. Meffert, Susan M. & McCulloch, Charles E. & Neylan, Thomas C. & Gandhi, Monica & Lund, Crick, 2015. "Increase of perceived frequency of neighborhood domestic violence is associated with increase of women's depression symptoms in a nationally representative longitudinal study in South Africa," Social Science & Medicine, Elsevier, vol. 131(C), pages 89-97.
    9. Ball, Kylie & Cleland, Verity J. & Timperio, Anna F. & Salmon, Jo & Giles-Corti, Billie & Crawford, David A., 2010. "Love thy neighbour? Associations of social capital and crime with physical activity amongst women," Social Science & Medicine, Elsevier, vol. 71(4), pages 807-814, August.
    10. Tyler Prochnow & Meg Patterson & M. Renée Umstattd Meyer & Joseph Lightner & Luis Gomez & Joseph Sharkey, 2022. "Conducting Physical Activity Research on Racially and Ethnically Diverse Adolescents Using Social Network Analysis: Case Studies for Practical Use," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    11. Pabayo, Roman & Belsky, Jay & Gauvin, Lise & Curtis, Sarah, 2011. "Do area characteristics predict change in moderate-to-vigorous physical activity from ages 11 to 15 years?," Social Science & Medicine, Elsevier, vol. 72(3), pages 430-438, February.
    12. Razieh Zandieh & Javier Martinez & Johannes Flacke & Phil Jones & Martin Van Maarseveen, 2016. "Older Adults’ Outdoor Walking: Inequalities in Neighbourhood Safety, Pedestrian Infrastructure and Aesthetics," IJERPH, MDPI, vol. 13(12), pages 1-24, November.
    13. Nicola Magnavita & Giovanni Tripepi & Reparata Rosa Di Prinzio, 2020. "Symptoms in Health Care Workers during the COVID-19 Epidemic. A Cross-Sectional Survey," IJERPH, MDPI, vol. 17(14), pages 1-15, July.
    14. Stephanie A. Prince & Elizabeth A. Kristjansson & Katherine Russell & Jean-Michel Billette & Michael Sawada & Amira Ali & Mark S. Tremblay & Denis Prud’homme, 2011. "A Multilevel Analysis of Neighbourhood Built and Social Environments and Adult Self-Reported Physical Activity and Body Mass Index in Ottawa, Canada," IJERPH, MDPI, vol. 8(10), pages 1-26, October.
    15. Oshio, Takashi & 小塩, 隆士 & オシオ, タカシ & Urakawa, Kunio, 2011. "Neighborhood Perceptions, Self-rated Health, and Personality Traits: Evidence from Japan," CIS Discussion paper series 531, Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi University.
    16. Miquel Pans & Joaquin Madera & Luís-Millan González & Maite Pellicer-Chenoll, 2021. "Physical Activity and Exercise: Text Mining Analysis," IJERPH, MDPI, vol. 18(18), pages 1-11, September.
    17. Fiorillo, Damiano & Sabatini, Fabio, 2015. "Structural social capital and health in Italy," Economics & Human Biology, Elsevier, vol. 17(C), pages 129-142.
    18. T.V. V Kramin & M.R. R Miftahov & Wladimir Andreff & S.B. B Eroshkina, 2019. "Social and Economic Factors of Sports Activity in Russian Regions," Post-Print hal-03232061, HAL.
    19. Longxi Li & Michelle E. Moosbrugger & Yang Liu, 2021. "Physical Activity Participation and the Environment in Children and Adolescents: A Systematic Review and Meta-Analysis Protocol," IJERPH, MDPI, vol. 18(12), pages 1-10, June.
    20. Sergio Garbarino, 2020. "Sleep Disorders across the Lifespan: A Different Perspective," IJERPH, MDPI, vol. 17(23), pages 1-5, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:24:p:9475-:d:464006. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.