Evidence map›Paper›PMID 40827702›Full record

ReviewSleep2025

The environment around the sleeper is changing: a perspective.

Joon Chung, Mairead E Moloney, Azizi A Seixas, Chandra L Jackson

Abstract readReview
In one paragraph

Review in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Article
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

4 authors.

Joon ChungDepartment of Informatics and Health Data Science, University of Miami, Miller School of Medicine, Miami, FL, United States.ORCID 0000-0002-8082-9833
Mairead E MoloneyDepartment of Informatics and Health Data Science, University of Miami, Miller School of Medicine, Miami, FL, United States.
Azizi A SeixasDepartment of Informatics and Health Data Science, University of Miami, Miller School of Medicine, Miami, FL, United States.ORCID 0000-0003-0843-2679
Chandra L JacksonEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, United States.ORCID 0000-0002-0915-8272

Funding

Sleeping well in a changing climate: The effects of rising temperatures and extreme weather events on sleep and other aspects of health in rural AppalachiaR01MD016236 · NIMHD · UNIVERSITY OF KENTUCKY · PI MOGA, DANIELA CLAUDIA, MOLONEY, MAIREAD · 2021 to 2025
$4.1M
DORMIR: Determinants, Outcomes, Responses and Markers of Insufficient sleep in Rural-Urban settingsR01HL152453 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI SEIXAS, AZIZI · 2020 to 2024
$3.7M
NHLBI NIH HHS R01 HL152453NIH HHS 5R01HL152453-05NIMHD NIH HHS L60 MD017858NIMHD NIH HHS R01 MD016236
6 · The paper itself

Abstract

Sleep is shaped by a complex interplay of biological, behavioral, and environmental factors. While substantial attention has been paid to the first two factors, the role of environmental exposures, particularly weather patterns, ambient temperature variability, and other dynamic atmospheric conditions, remains relatively underexplored in sleep research. This gap is notable given the increasing availability of high-resolution environmental data and growing evidence that ambient conditions can influence circadian regulation, thermal comfort, and sleep continuity. This perspective paper reviews emerging evidence linking environmental factors to sleep patterns, highlighting both direct effects (e.g. thermal disruptions) and indirect pathways (e.g., displacement or stress from extreme weather events). Recent advances in environmental sensing, geospatial data, and real-time monitoring offer new opportunities to capture high-resolution environmental data relevant to sleep. This perspective highlights the need for data infrastructure capable of integrating these dynamic environmental inputs with sleep metrics from, for instance, wearables, surveys, and clinical records. We also examine the methodological and informatics challenges of integrating environmental data with sleep measures and suggest directions for future research. As environmental conditions evolve, understanding their influence on sleep holds promise for advancing both scientific knowledge and public health relevance, particularly in identifying affected populations, designing responsive interventions, and contextualizing sleep within broader ecological systems.

Indexed as

EnvironmentEnvironmental ExposureSleepCircadian RhythmHumansTemperatureWeatheranxietybehavioral sleep medicinestressthermoregulation

Identifiers

PMID40827702
PMCPMC12597656

What OpenQuestion holds

Textmetadata
LicenceTDM
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.