Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-25T04:43:25.928Z Has data issue: false hasContentIssue false

Neighborhood physical disorder, social cohesion, and insomnia: results from participants over age 50 in the Health and Retirement Study

Published online by Cambridge University Press:  15 September 2014

Lenis P. Chen-Edinboro*
Affiliation:
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Christopher N. Kaufmann
Affiliation:
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Jura L. Augustinavicius
Affiliation:
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Ramin Mojtabai
Affiliation:
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Jeanine M. Parisi
Affiliation:
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Alexandra M. V. Wennberg
Affiliation:
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Michael T. Smith
Affiliation:
Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
Adam P. Spira
Affiliation:
Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
*
Correspondence should be addressed to: Dr Lenis P. Chen-Edinboro, Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, 624 N. Broadway, Rm. 884, Baltimore, MD 21205, USA. Phone: +1-410-502-2066; Fax: +1-410-614-7469. Email: [email protected].
Get access

Abstract

Background:

We determined the association between neighborhood socio-environmental factors and insomnia symptoms in a nationally representative sample of US adults aged >50 years.

Methods:

Data were analyzed from two waves (2006 and 2010) of the Health and Retirement Study using 7,231 community-dwelling participants (3,054 men and 4,177 women) in the United States. Primary predictors were neighborhood physical disorder (e.g. vandalism/graffiti, feeling safe alone after dark, and cleanliness) and social cohesion (e.g. friendliness of people, availability of help when needed, etc.); outcomes were insomnia symptoms (trouble falling asleep, night awakenings, waking too early, and feeling unrested).

Results:

After adjustment for age, income, race, education, sex, chronic diseases, body mass index, depressive symptoms, smoking, and alcohol consumption, each one-unit increase in neighborhood physical disorder was associated with a greater odds of trouble falling asleep (odds ratio (OR) = 1.09, 95% confidence interval (CI): 1.04–1.14), waking too early (OR = 1.05, 95% CI: 1.00–1.10), and, in adults aged ≥69 years (adjusting for all variables above except age), feeling unrested in the morning (OR = 1.11, 95% CI: 1.02–1.22 in 2006). Each one-unit increase in lower social cohesion was associated with a greater odds of trouble falling asleep (OR = 1.06, 95% CI: 1.01–1.11) and feeling unrested (OR = 1.09, 95% CI: 1.04–1.15).

Conclusions:

Neighborhood-level factors of physical disorder and social cohesion are associated with insomnia symptoms in middle-aged and older adults. Neighborhood-level factors may affect sleep, and consequently health, in our aging population.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ancoli-Israel, S. and Cooke, J. R. (2005). Prevalence and comorbidity of insomnia and effect on functioning in elderly populations. Journal of the American Geriatrics Society, 53, S264S271. doi:10.1111/j.1532-5415.2005.53392.x.CrossRefGoogle ScholarPubMed
Astell-Burt, T., Feng, X. and Kolt, G. S. (2013). Does access to neighbourhood green space promote a healthy duration of sleep? Novel findings from a cross-sectional study of 259 319 Australians. BMJ Open, 3, e003094.CrossRefGoogle Scholar
Cacioppo, J. T., Hawkley, L. C., Norman, G. J. and Berntson, G. G. (2011). Social isolation. Annals of the New York Academy of Sciences, 1231, 1722. doi:10.1111/j.1749-6632.2011.06028.x.Google Scholar
Chien, S. et al. (2013). RAND HRS Data Documentation, Version M. Santa Monica, CA: RAND Center for the Study of Aging.Google Scholar
DeSantis, A. S., Diez Roux, A.V., Moore, K., Baron, K.G., Mujahid, M.S. and Nieto, F.J. (2013). Associations of neighborhood characteristics with sleep timing and quality: the multi-ethnic study of atherosclerosis. Sleep, 36, 15431551. doi:10.5665/sleep.3054.CrossRefGoogle ScholarPubMed
Galster, G. C. (2006). What's the hood got to do with it? Parental perceptions about how neighborhood mechanisms affect their children. Journal of Urban Affairs, 28, 201226. doi:10.1111/j.1467-9906.2006.00289.x.CrossRefGoogle Scholar
Gamaldo, A. A., McNeely, J. M., Shah, M. T., Evans, M. K. and Zonderman, A. B. (2013). Racial differences in self-reports of short sleep duration in an urban-dwelling environment. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 61, 8489. doi:10.1093/geronb/gbt117.Google Scholar
Grandner, M. A., Petrov, M. E. R., Rattanaumpawan, P., Jackson, N., Platt, A. and Patel, N.P. (2013). Sleep symptoms, race/ethnicity, and socioeconomic position. Journal of Clinical Sleep Medicine, 9, 897905. doi:10.5664/jcsm.2990.Google Scholar
Hanson, B. S. and Östergren, P.-O. (1987). Different social network and social support characteristics, nervous problems and insomnia: theoretical and methodological aspects on some results from the population study “men born in 1914,” Malmö, Sweden. Social Science and Medicine, 25, 849859. doi:10.1016/0277-9536(87)90043-8.CrossRefGoogle ScholarPubMed
Health and Retirement Study. (2010). Wave 8/Year 2006. HRS Core Fat Files (Final) RAND Public Use Dataset. Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG009740). Ann Arbor, MI: University of Michigan Press.Google Scholar
Health and Retirement Study. (2013a). Wave cross-wave/Year 2010. Tracker Public Use Dataset. Produced and Distributed by the University of Michigan with Funding from the National Institute on Aging (grant number NIA U01AG009740). Ann Arbor, MI: University of Michigan Press.Google Scholar
Health and Retirement Study. (2013b). Wave 10/Year 2010. HRS Core Fat Files (Final) RAND Public Use Dataset. Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG009740). Ann Arbor, MI: University of Michigan Press.Google Scholar
Heeringa, S. G. and Connor, J. H. (1995). Technical Description of the Health and Retirement Survey Sample Design. Ann Arbor, MI: Institute for Social Research, University of Michigan. Available at: http://hrsonline.isr.umich.edu/sitedocs/userg/HRSSAMP.pdf; last accessed 11 January 2014.Google Scholar
Karp, F. (Ed.). (2007). Growing Older in America: The Health and Retirement Study. Bethesda, MD, National Institute on Aging, National Institutes of Health, US Department of Health and Human Services. Available at: http://hrsonline.isr.umich.edu/index.php?p=dbook; last accessed 11 January 2014.Google Scholar
Kaufmann, C. N. et al. (2013). Insomnia and health services utilization in middle-aged and older adults: results from the Health and Retirement Study. The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences, 68, 15121517. doi:10.1093/gerona/glt050.CrossRefGoogle ScholarPubMed
Krause, N. (1993). Neighborhood deterioration and social isolation in later life. International Journal of Aging and Human Development, 36, 938.CrossRefGoogle ScholarPubMed
McHale, S. M., Kim, J. Y., Kan, M. and Updegraff, K. A. (2010). Sleep in Mexican-American adolescents: social ecological and well-being correlates. Journal of Youth and Adolescence, 40, 666679. doi:10.1007/s10964-010-9574-x.Google Scholar
Mendes de Leon, C. F. et al. (2009). Neighborhood social cohesion and disorder in relation to walking in community-dwelling older adults: a multilevel analysis. Journal of Aging and Health, 21, 155171. doi:10.1177/0898264308328650.Google Scholar
Radloff, L. S. (1977). The CES-D Scale: a self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385401. doi:10.1177/014662167700100306.CrossRefGoogle Scholar
RAND. (2006). HRS Core Income and Wealth Imputations (Final). Available at: http://hrsonline.isr.umich.edu/index.php?p=reg; last accessed 25 January 2014.Google Scholar
RAND. (2010). HRS Core Income and Wealth Imputations (Early). Available at: http://hrsonline.isr.umich.edu/index.php?p=reg; last accessed 25 January 2014.Google Scholar
Reid, K. J. et al. (2006). Sleep: a marker of physical and mental health in the elderly. The American Journal of Geriatric Psychiatry, 14, 860866. doi:10.1097/01.JGP.0000206164.56404.b.CrossRefGoogle ScholarPubMed
Riedel, N. et al. (2012). Insomnia and urban neighbourhood contexts – are associations modified by individual social characteristics and change of residence? Results from a population-based study using residential histories. BMC Public Health, 12, 810.CrossRefGoogle Scholar
Rodenbeck, A. and Hajak, G. (2001). Neuroendocrine dysregulation in primary insomnia. Revue Neurologique, 157, S57S61.Google Scholar
Roth, T. and Ancoli-Israel, S. (1999). Daytime consequences and correlates of insomnia in the United States: results of the 1991 National Sleep Foundation Survey II. Sleep, 22 (Suppl. 2), S354S358.Google Scholar
Simonelli, G. et al. (2013). Sleep and quality of life in urban poverty: the effect of a slum housing upgrading program. Sleep, 36, 16691676. doi:10.5665/sleep.3124.CrossRefGoogle ScholarPubMed
Singh, G. K. and Kenney, M. K. (2013). Rising prevalence and neighborhood, social, and behavioral determinants of sleep problems in US children and adolescents, 2003–2012. Sleep Disorders, 2013, 115. doi:10.1155/2013/394320.CrossRefGoogle ScholarPubMed
Smith, J. et al. (2013). Psychosocial and Lifestyle Questionnaire 2006–2010: Documentation Report Core Section LB. Ann Arbor, MI: Survey Research Center, Institute for Social Research, University of Michigan. Available at: http://hrsonline.isr.umich.edu/sitedocs/userg/HRS2006-2010SAQdoc.pdf; last accessed 11 January 2014.Google Scholar
StataCorp. (2011). Stata Statistical Software: Release 12. College Station, TX: StataCorp LP.Google Scholar
Ustinov, Y., Lichstein, K.L., Wal, G.S.V., Taylor, D.J., Riedel, B.W. and Bush, A.J. (2010). Association between report of insomnia and daytime functioning. Sleep Medicine, 11, 6568. doi:10.1016/j.sleep.2009.07.009.Google Scholar