Broken Windows, Broken Zzs: Poor Housing and Neighborhood Conditions Are Associated with Objective Measures of Sleep Health
Autor: | Lauren Hale, Daniel J. Buysse, Wendy M. Troxel, Bonnie Ghosh-Dastidar, Matthew P. Buman, Stephanie Brooks Holliday, Andrea S. Richardson, Ann C. Haas, Tiffany L. Gary-Webb, Tamara Dubowitz, Heather L. Schwartz |
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Rok vydání: | 2020 |
Předmět: |
Adult
Male medicine.medical_specialty Time Factors Health (social science) Article 03 medical and health sciences 0302 clinical medicine Residence Characteristics Sleep Initiation and Maintenance Disorders Humans Medicine 030212 general & internal medicine Poverty Socioeconomic status Aged Aged 80 and over 030505 public health Public Housing business.industry Public health Public Health Environmental and Occupational Health Actigraphy Middle Aged Pennsylvania Sleep in non-human animals Health equity Black or African American Urban Studies Distress Socioeconomic Factors Multivariate Analysis Female Sleep diary Crime Self Report Sleep onset 0305 other medical science business Demography |
Zdroj: | J Urban Health |
ISSN: | 1468-2869 1099-3460 |
DOI: | 10.1007/s11524-019-00418-5 |
Popis: | African Americans and socioeconomically disadvantaged individuals have higher rates of a variety of sleep disturbances, including short sleep duration, poor sleep quality, and fragmented sleep. Such sleep disturbances may contribute to pervasive and widening racial and socioeconomic (SES) disparities in health. A growing body of literature demonstrates that over and above individual-level SES, indicators of neighborhood disadvantage are associated with poor sleep. However, there has been scant investigation of the association between sleep and the most proximal environments, the home and residential block. This is the first study to examine the association between objective and self-reported measures of housing and block conditions and sleep. The sample included 634 adults (mean age = 58.7 years; 95% African American) from two low-income urban neighborhoods. Study participants reported whether they experienced problems with any of seven different housing problems (e.g., broken windows) and rated the overall condition of their home. Trained data collectors rated residential block quality. Seven days of wrist actigraphy were used to measure average sleep duration, efficiency, and wakefulness after sleep onset (WASO), and a sleep diary assessed sleep quality. Multivariate regression analyses were conducted for each sleep outcome with housing or block conditions as predictors in separate models. Participants reporting “fair” or “poor” housing conditions had an adjusted average sleep duration that was 15.4 min shorter than that of participants reporting “good” or “excellent” conditions. Those reporting any home distress had 15.9 min shorter sleep and .19 units lower mean sleep quality as compared with participants who did not report home distress. Poor objectively measured block quality was associated with 14.0 min shorter sleep duration, 1.95% lower sleep efficiency, and 10.7 additional minutes of WASO. Adverse housing and proximal neighborhood conditions are independently associated with poor sleep health. Findings highlight the importance of considering strategies that target upstream determinants of sleep health disparities. |
Databáze: | OpenAIRE |
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