ArticleSleep health2025
Associations between neighborhood factors and insomnia and their spatial clustering in Philadelphia, Pennsylvania.
Article in Sleep health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Substance use to cope with trauma: the interactive effect of insomnia and neighborhood socioeconomic status.Sleep advances : a journal of the Sleep Research Society · 2026Article
- The relationship between ambient neighborhood noise exposure and sleep parameters among Black adults living in the Miami metropolitan area.Sleep epidemiology · 2025Article
- Data-driven approach to understand associations between dietary patterns, sleep problems, and mental health in adolescents.Sleep health · 2025Article
- Racial and ethnic disparities in the perceived neighborhood walking environment and self-reported sleep health: A nationally representative sample of the United States.Sleep health · 2025Article
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7 authors.
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Abstract
backgroundNeighborhood-level adverse social determinants may be a risk factor for sleep health disparities. We examined the associations between neighborhood factors and insomnia and explored their spatial clustering in the city of Philadelphia, Pennsylvania.
methodsWe conducted a cross-sectional analysis of data from Philadelphia residents who participated in online screening for insomnia-related research. Participants self-reported sex, age, body mass index, anxiety, post-traumatic stress disorder, depression, and insomnia symptoms. The sample was stratified as "No Insomnia" (≤7) and "Insomnia" (>7) based on the Insomnia Severity Index (range: 0-28). Neighborhood and participant data were merged using geospatial techniques. Multiple regression models and geospatial analysis were used to identify neighborhood variables that are associated with insomnia and their spatial distribution.
resultsThe sample (N = 350) was predominantly female (53%), middle-aged (40.8 ± 13.8), overweight (body mass index=26.1 ± 5.54), and 53.7% had insomnia. The insomnia group had significantly higher depression scores (14.6 ± 5.5), a large percentage had anxiety (64.4%) and post-traumatic stress disorder symptoms (31.9%), and largely resided in high crime (p < .001) and highly deprived neighborhoods (p = .034). Within the insomnia group, a 1-point increase in the number of spiritual centers in the neighborhood was associated with lower insomnia symptoms (b=-1.02, p = .002), while a 1-point increase in depression scores (b=0.44, p < .001) and residence in a highly deprived neighborhood (b=1.49, p = .021) was associated with greater insomnia.
conclusionDisparities exist in the neighborhood determinants of insomnia and their spatial distribution in Philadelphia. Interventions targeting the spatial distribution of adverse social determinants may improve insomnia disparities.
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