Evidence map›Paper›PMID 38163540›Full record

ArticleEnvironmental research2024

Long-term noise exposures and cardiovascular diseases mortality: A study in 5 U.S. states.

Tingfan Jin, Anna Kosheleva, Edgar Castro, Xinye Qiu, Peter James, Joel Schwartz

Abstract read
In one paragraph

Article in Environmental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Community impacts of aviation noise: a pilot survey.Journal of exposure science & environmental epidemiology · 2025
    Article
  5. Article
  6. Review
  7. 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

6 authors.

Tingfan JinDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: tingfan@umich.edu.
Anna KoshelevaDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Edgar CastroDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Xinye QiuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Peter JamesDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Identifying low dose measurement error corrected effects of multiple pollutants using causal modelingR01ES032418 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2021 to 2024
$1.7M
NIEHS NIH HHS R01 ES032418
6 · The paper itself

Abstract

backgroundPrevious studies have linked noise exposure with adverse cardiovascular events. However, evidence remains inconsistent, and most previous studies only focused on traffic noise, excluding other anthropogenic sources like constructions, industrial process and commercial activities. Additionally, few studies have been conducted in the U.S. or evaluated the non-linear exposure-response relationships.

methodsWe conducted a relative incidence analysis study using all cardiovascular diseases mortality as cases (n = 936,019) and external causes mortality (n = 232,491) as contrast outcomes. Mortality records geocoded at residential addresses were obtained from five U.S. states (Indiana, 2007; Kansas, 2007-2009, Missouri, 2010-2019, Ohio, 2007-2013, Texas, 2007-2016). Time-invariant long-term noise exposure was obtained from a validated model developed based on acoustical measurements across 2000-2014. Noises from both natural sources (natural activities, including animals, insects, winds, water flows, thunder, etc.) and anthropogenic sources (human activities, including transportation, industrial activities, community facilities & infrastructures, commercial activities, entertainments, etc.) were included. We used daytime and nighttime total anthropogenic noise & day-night average sound pressure level combining natural and anthropogenic sources as exposures. Logistic regression models were fit controlling for Census tract-level & individual-level characteristics. We examined potential modification by sex by interaction terms and potential non-linear associations by thin plate spline terms.

resultsWe observed positive associations for daytime anthropogenic L

conclusionsBoth daytime anthropogenic and nighttime anthropogenic noises were associated with cardiovascular disease mortality, and associations were stronger in females.

Indexed as

Cardiovascular DiseasesCohort StudiesEnvironmental ExposureFemaleHumansNoiseTransportationCardiovascular mortalityNoise exposureNon-linearitySex modificationsSound pressure level

Identifiers

PMID38163540
PMCPMC10923011

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Registered trials

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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.