Evidence map›Paper›PMID 35504838›Full record

SynthesisSleep health2022

Neighborhoods and sleep health among adults: A systematic review.

Byoungjun Kim, Charles C Branas, Kara E Rudolph, Christopher N Morrison, Basile Chaix, Wendy M Troxel, Dustin T Duncan

Abstract readSystematic Review
In one paragraph

Synthesis in Sleep health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

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

  1. Pooled it
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  15. Perceived neighborhood disadvantage and poor chronic health in Israel.Israel journal of health policy research · 2025
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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

7 authors.

Byoungjun KimDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA; Department of Population Health, New York University Grossman School of Medicine, New York, New York, USA. Electronic address: byoungjun.kim@nyulangone.org.
Charles C BranasDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Kara E RudolphDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.
Christopher N MorrisonDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Basile ChaixSorbonne Université, INSERM, Institut Pierre Louis d'Epidémiologie et de Santé Publique IPLESP, Nemesis Team, F75012 Paris, France.
Wendy M TroxelBehavior and Policy Sciences, RAND Corporation, Pittsburgh, Pennsylvania, USA.
Dustin T DuncanDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.

Funding

NYU Training Program in Healthcare Delivery Science and Population Health ResearchT32HS026120 · AHRQ · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, LEORA, SCHWARTZ, MARK D · 2018 to 2023
$3.4M
AHRQ HHS T32 HS026120
6 · The paper itself

Abstract

objectiveSleep is an important determinant of various health outcomes, and insufficient sleep and sleep disorders are a public health crisis in the United States. The objective of this review is to provide an update on scientific contributions to our understanding of the social/built environmental determinants of sleep health. In particular, this review focuses on the diverse measurements of neighborhood characteristics and sleep outcomes, as well as analytic approaches for quantifying the effect of neighborhood on sleep health.

methodsTwo major electronic databases were searched and reviewed for relevant articles that examined the associations of social/built environments with sleep health. Inclusion criteria included peer-reviewed empirical studies on neighborhood-level characteristics and sleep health among adult populations.

resultsSystematic searches in MEDLINE/PubMed and SCOPUS identified 52 eligible articles (out of 11,084). Various social/built environmental characteristics of neighborhoods were identified as potential determinants of sleep health, and the majority of studies examined neighborhood social capital, safety, and environmental stressors. However, 88% of included articles employed cross-sectional study designs, limiting causal identification. We found substantial differences in neighborhood measures, variations in sleep health measurements with the majority employing self-reported methods, and inconsistent model specifications. While the majority of articles (48%) utilized perceived neighborhood conditions as the main exposure, more recent studies (23%) employed geographic information systems to measure neighborhood characteristics.

conclusionsTo establish the causal relationships between social/physical neighborhood characteristics and sleep health, more studies should be conducted with longitudinal, quasi-experimental, and randomized trial designs coupled with objectively measured neighborhood and sleep health parameters.

Indexed as

Residence CharacteristicsSleepAdultCross-Sectional StudiesHumansSelf ReportSleep DeprivationUnited StatesNeighborhoodSleep healthSocial determinantsSpatial analysisStudy designSystematic review

Identifiers

PMID35504838
PMCPMC11559092

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.