Evidence map›Paper›PMID 38387361›Full record

ArticleHealth & place2024

The built environment and cancer survivorship: A scoping review.

Naiyu Chen, Carol Mita, Ilkania M Chowdhury-Paulino, Alaina H Shreves, Cindy R Hu, Li Yi, Peter James

Open access · greenAbstract readScoping Review
In one paragraph

Article in Health & place, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
10.5field-weighted citation impact, top 2% of its field
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

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  5. The impact of social determinants of health on mental and behavioral health trajectories of breast cancer survivors: A longitudinal cohort study.European journal of oncology nursing : the official journal of European Oncology Nursing Society · 2026
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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 at 2 institutions in 2 countries.

Naiyu ChenDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA. Electronic address: naiyuchen@g.harvard.edu.
Carol MitaCountway Library, Harvard Medical School, Boston, MA, USA.
Ilkania M Chowdhury-PaulinoDepartment of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Alaina H ShrevesNuffield Department of Population Health, University of Oxford, Oxford, UK; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Cindy R HuDepartment of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Li YiDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 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, USA.
Harvard University · USNational Institutes of Health · US

Funding

Training Program in Cancer EpidemiologyT32CA009001 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI A. Heather Eliassen, Meir Stampfer · 1985 to 2026
$17.3M
Environmental Exposures & Sleep in the Nurses' Health Study 3F31ES035252 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI HU, CINDY ROBIN · 2023 to 2024
$92k
Intramural NIH HHS Z99 CA999999NCI NIH HHS T32 CA009001NIEHS NIH HHS F31 ES035252
6 · The paper itself

Abstract

backgroundThere are more than 32 million cancer survivors worldwide. The built environment is one of the contextual factors that may influence cancer survivorship. However, studies investigating the interdisciplinary field of the built environment and cancer survivorship are lacking.

objectiveTo conduct a systematic review of the existing literature regarding the relationship between the built environment and cancer survivorship, identify any knowledge gaps, and recommend future research directions.

methodsA systematic literature search was performed by searching OVID Medline, Embase, CINAHL, and Web of Science Core Collection.

resultsOf 4235 unique records identified, 26 studies met eligibility criteria. Neighborhood walkability and greenness were the most examined built environment characteristics among the included studies. Walkability was found to be associated with various cancer survivorship experience, including increased levels of physical activity, lowered body mass index, and improved quality of life. The association between greenness and cancer survivorship outcomes were inconsistent across the included studies. Additionally, studies have reported the relationship between light and noise pollution and sleep among cancer survivors. Regarding blue space, in one qualitative study, breast cancer survivors brought up the healing properties of water.

conclusionOur scoping review demonstrated a breadth of current cancer survivorship research in the field of neighborhood walkability and greenness, but fewer studies detailing other aspects of the built environment as defined by this review, such as light pollution, noise pollution, and blue space. We identified future research directions for those interested in this interdisciplinary field, which can provide insights for urban planners and policy makers on how to best leverage the built environment to promote the health and wellbeing of cancer survivors.

Indexed as

Built EnvironmentCancer SurvivorsExerciseNeoplasmsQuality of LifeResidence CharacteristicsWalkingEnvironment DesignHumansSurvivorshipBlue spaceBuilt environmentCancer survivorsCancer survivorshipGreennessLight pollutionNoise pollutionWalkability

Identifiers

PMID38387361
PMCPMC12381879
OpenAlexW4392010749

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.