Objective and Subjective Neighborhood Crime Associated with Poor Sleep among Young Sexual Minority Men: a GPS Study View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-08-05

AUTHORS

Benjamin D. Huber, Byoungjun Kim, Basile Chaix, Seann D. Regan, Dustin T. Duncan

ABSTRACT

Sleep disparities in sexual minority male (SMM) populations have received relatively little attention but they may be critical to explaining other health disparities seen among SMM, via neural or hormonal pathways. Recent research suggests that crime may be a psychosocial stressor that contributes to sleep disparities but that finding has been based on subjective measures of crime. We conducted the P18 Neighborhood Study of 250 SMM in New York City, including 211 with adequate GPS tracking data. We used the GPS tracking data to define daily path area activity spaces and tested the associations of violent crime in those activity spaces and in the subject’s residential neighborhood, perceived neighborhood safety, and witnessing crime with a subjective measure of sleep. Using quasi-Poisson regression, adjusted for individual and neighborhood socio-demographics, we found that SMM who witnessed more types of crime experienced significantly more nights of poor sleep over the course of a month (RR: 1.16, 95%CI: 1.05–1.27, p-value: < 0.01). We did not find any associations between violent crime rates in either the activity area or residential area and sleep. Our findings support the conclusion that personal exposure to crime is associated with sleep problems and provide further evidence for the pathway between stress and sleep. The lack of association between neighborhood crime levels and sleep suggests that there must be personal experience with crime and ambient presence is insufficient to produce an effect. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11524-022-00674-y

DOI

http://dx.doi.org/10.1007/s11524-022-00674-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1150025352

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/35931941


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195 schema:name Department of Epidemiology, Columbia Spatial Epidemiology Lab, Columbia University Mailman School of Public Health, 722 West 168th Street, 10032, New York, NY, USA
196 Department of Population Health, New York University Grossman School of Medicine, 550 1st Ave, 10016, New York, NY, USA
197 rdf:type schema:Organization
198 grid-institutes:grid.21729.3f schema:alternateName Department of Epidemiology, Columbia Spatial Epidemiology Lab, Columbia University Mailman School of Public Health, 722 West 168th Street, 10032, New York, NY, USA
199 schema:name Department of Epidemiology, Columbia Spatial Epidemiology Lab, Columbia University Mailman School of Public Health, 722 West 168th Street, 10032, New York, NY, USA
200 rdf:type schema:Organization
 




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