Department of Epidemiology, Columbia Spatial Epidemiology Lab, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA.
Department of Population Health, New York University Grossman School of Medicine, 550 1st Ave, New York, NY, 10016, USA.
J Urban Health. 2022 Dec;99(6):1115-1126. doi: 10.1007/s11524-022-00674-y. Epub 2022 Aug 5.
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.
性少数男性(SMM)群体中的睡眠差异得到的关注相对较少,但通过神经或激素途径,这些差异可能对解释 SMM 中存在的其他健康差异至关重要。最近的研究表明,犯罪可能是导致睡眠差异的心理社会压力源,但这一发现是基于对犯罪的主观衡量。我们对纽约市的 250 名 SMM 进行了 P18 社区研究,其中 211 名参与者有足够的 GPS 跟踪数据。我们使用 GPS 跟踪数据来定义日常路径区域活动空间,并测试了这些活动空间中的暴力犯罪以及研究对象的居住社区中的暴力犯罪、感知社区安全和目睹犯罪与主观睡眠测量之间的关联。使用准泊松回归,调整了个体和社区的社会人口统计学因素,我们发现,目睹更多类型犯罪的 SMM 在一个月的时间里经历了更多的睡眠质量差的夜晚(RR:1.16,95%CI:1.05-1.27,p 值:<0.01)。我们没有发现活动区域或居住区域内暴力犯罪率与睡眠之间存在任何关联。我们的研究结果支持个人接触犯罪与睡眠问题之间存在关联的结论,并为压力与睡眠之间的关系提供了进一步的证据。社区犯罪水平与睡眠之间缺乏关联表明,必须有个人犯罪经历,而环境存在不足以产生影响。