Related Experiment Video
Updated: Jan 7, 2026

Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
Neighborhood Differences in Omnipresent Policing and Sleep Health in New York City: Protocol for a Multimethod
Martin J Downing1, Mia Budescu1, Nicole M Holbrook2
1Lehman College, City University of New York, Bronx, NY, United States.
Background:
Poor or insufficient sleep is associated with numerous adverse, potentially serious physical and mental health outcomes. Equally concerning are the substantial racial, gender, and socioeconomic disparities, with minorities and those experiencing poverty disproportionately affected by poor sleep quality and sleep disorders. Both theory and research suggest that sleep health is negatively impacted by concentrated poverty at the neighborhood level due to the deterioration of the built and social environments, thereby creating conditions that disrupt sleep.
Objective:
This research considers an under-studied factor related to these conditions and sleep health-policing and police surveillance. Specifically, the study compares 4 neighborhoods within New York City at different levels of residential segregation.
Methods:
The study design consists of a baseline survey, with 40 residents recruited in each neighborhood, and a 1-week diary phase with a subsample of residents. Neighborhood conditions are also assessed in each of the neighborhoods using a neighborhood audit tool.
Results:
The study received funding in July 2024. Data collection commenced in September 2024. As of August 2025, we have enrolled more than 100 participants in the baseline survey. Planned analyses will begin once data collection has concluded.
Conclusions:
This information will help establish the extent to which surveillance and policing differentially impact the lives of New Yorkers as a function of where they live. Specifically, the results should be relevant and important for understanding the impact of novel policing strategies on underprivileged neighborhoods. This exploratory research will be useful for identifying populations and residential settings that may be most at risk for poor sleep health.
International Registered Report Identifier (Irrid):
DERR1-10.2196/82605.
More Related Videos
08:36Collecting Sleep, Circadian, Fatigue, and Performance Data in Complex Operational Environments
Published on: August 8, 2019
11:21Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
Related Concept Videos
Substance Use Disorders Affecting Sleep
Understanding the concepts of physical dependence,...
Naturalistic Observations
Data Collection by Observations
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
Blind Procedures
Cause and Effect
Understanding Sleep
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...