Evidence map›Paper›PMID 33417708›Full record

ArticleSleep2021

Does investing in low-income urban neighborhoods improve sleep?

Tamara Dubowitz, Ann Haas, Bonnie Ghosh-Dastidar, Rebecca L Collins, Robin Beckman, Stephanie Brooks Holliday, Andrea S Richardson, Lauren Hale, Daniel J Buysse, Matthew P Buman and 1 more

Abstract read
In one paragraph

Article in Sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Tamara DubowitzRAND Corporation, Pittsburgh, PA.
Ann HaasRAND Corporation, Pittsburgh, PA.
Bonnie Ghosh-DastidarRAND Corporation, Santa Monica, CA.
Rebecca L CollinsRAND Corporation, Santa Monica, CA.
Robin BeckmanRAND Corporation, Santa Monica, CA.
Stephanie Brooks HollidayRAND Corporation, Santa Monica, CA.
Andrea S RichardsonRAND Corporation, Pittsburgh, PA.
Lauren HaleDepartment of Family, Population, and Preventive Medicine, Program in Public Health, Stony Brook University, Stony Brook, NY.
Daniel J BuysseDepartment of Psychiatry, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-3288-1864
Matthew P BumanCollege of Health Solutions, Arizona State University, Phoenix, AZ.
Wendy M TroxelRAND Corporation, Pittsburgh, PA.

Funding

Neighborhood Change: Impact on Sleep and Obesity-Related Health DisparitiesR01HL122460 · NHLBI · RAND CORPORATION · PI DUBOWITZ, TAMARA, TROXEL, WENDY M · 2015 to 2018
$3.3M
Impact of Greenspace Improvement on Physical Activity in a Low Income CommunityR01CA164137 · NCI · RAND CORPORATION · PI DUBOWITZ, TAMARA · 2012 to 2016
$3.1M
Natural Experiment of Neighborhood Revitalization and Cardiometabolic HealthR01HL131531 · NHLBI · RAND CORPORATION · PI GARY-WEBB, TIFFANY L, TROXEL, WENDY M · 2016 to 2019
$3.0M
NCI NIH HHS R01 CA164137NHLBI NIH HHS R01 HL122460NHLBI NIH HHS R01 HL131531
6 · The paper itself

Abstract

STUDY

objectivesNeighborhood disadvantage is associated with poor sleep, which may contribute to and exacerbate racial and socioeconomic health disparities. Most prior work has been cross-sectional and thus it has not been possible to estimate causal effects.

methodsWe leveraged a natural experiment opportunity in two low-income, predominantly African American Pittsburgh, PA neighborhoods, following a randomly selected cohort of households (n = 676) between 2013 and 2016. One of the neighborhoods received substantial public and private investments (housing, commercial) over the study period, while the other socio-demographically similar neighborhood received far fewer investments. Primary analyses used a difference-in-difference analysis based on neighborhood, to examine changes in actigraphy-assessed sleep duration, efficiency, and wakefulness after sleep onset (WASO), and self-reported sleep quality. Secondary analyses examined whether residents' proximity to investments, regardless of neighborhood, was associated with changes in sleep outcomes.

resultsResident sleep worsened over time in both neighborhoods with no significant differences among residents between the two neighborhoods. Secondary analyses, including covariate adjustment and propensity score weighting to improve comparability, indicated that regardless of neighborhood, those who lived in closer proximity to investments (<0.1 mile) were significantly less likely to experience decreases in sleep duration, efficiency, and quality, or increases in WASO, compared to those who lived farther away.

conclusionsWhile we did not observe sleep differences among residents between neighborhoods, living closer to a neighborhood investment was associated with better sleep outcomes. Findings have relevance for public health and policy efforts focused on investing in historically disinvested neighborhoods.

Indexed as

PovertyResidence CharacteristicsBlack or African AmericanCross-Sectional StudiesHumansSleepdisparitiesnatural experimentneighborhoodssleepsocial determinantssocioeconomic status

Identifiers

PMID33417708
PMCPMC8193558

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.