Evidence map›Paper›PMID 35350107›Full record

ArticleJournal of transport & health2018

Bringing health into transportation and land use scenario planning: Creating a National Public Health Assessment Model (N-PHAM).

Jessica Schoner, Jim Chapman, Eric H Fox, Nicole Iroz-Elardo, Allen Brookes, Kara E MacLeod, Lawrence D Frank

Abstract read
In one paragraph

Article in Journal of transport & health, 2018. 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. Comprehensive perceptions at the interface between health and environment: Applications models with a citizen science tool.European psychiatry : the journal of the Association of European Psychiatrists · 2025
    Article
  2. Article
  3. Article
  4. Associations of Cumulative and Point-in-Time Neighborhood Poverty and Walkability with Body Mass from Age 30 to 39.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  5. Review
  6. Article
  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

7 authors.

Jessica SchonerUrban Design 4 Health Inc., 353 Rockingham St., Rochester, NY 14620, USA.
Jim ChapmanUrban Design 4 Health Inc., 353 Rockingham St., Rochester, NY 14620, USA.
Eric H FoxUrban Design 4 Health Inc., 353 Rockingham St., Rochester, NY 14620, USA.
Nicole Iroz-ElardoUrban Design 4 Health Inc., 353 Rockingham St., Rochester, NY 14620, USA.
Allen BrookesUS Environmental Protection Agency, 200 S.W. 35th Street, Corvallis, OR 97333-4902, USA.
Kara E MacLeodFielding School of Public Health, University of California, Los Angeles, Life Sciences Building, Office 5127, Los Angeles, CA 90095, USA.
Lawrence D FrankUniversity of British Columbia Schools of Population & Public Health & Community & Regional Planning, 2206 East Mall, Vancouver, BC, Canada V6T 1Z3.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

There is mounting evidence linking land development and transportation investments to physical activity with resulting implications for chronic disease prevention. Links between the physical environment and health have traditionally focused on harmful exposures such as air pollution, noise, and traffic injury. Given limited funds and competition for how and where investments are made, there is a need to prioritize and target resources to maximize health benefits that can include activity related chronic disease prevention. The ability to apply this evidence to decision making has been limited by the complexity and inconsistency of research methods, and lack of a direct connection with the planning contexts in which decisions are made. Scenario planning tools provide a method to apply evidence with spatial planning decisions at a range of geographic scales. The US Environmental Protection Agency commissioned the development of a National Public Health Assessment Model (N-PHAM). This project utilized built and natural environment data at the block-group level and large population surveys to model the relationships of the environment with several health outcomes for a range of age and income groups. N-PHAM is the first health assessment tool that can connect to multiple existing scenario planning platforms utilizing nationally available data and can be consistently applied nationally. Such tools can empower communities to choose investments that have the greatest potential to improve public health and quality of life, reduce health care costs, and address environmental justice related disparities.

Indexed as

Chronic disease preventionDecision toolsHealth impact assessmentLand use planningTransportation planning

Identifiers

PMID35350107
PMCPMC8958996

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.