Evidence map›Paper›PMID 34532567›Full record

ArticlePedagogy in health promotion2018

Combating Climate Injustices: An Informal Science and Popular Education Approach to Addressing Environmental Health Disparities.

Shana Sandhaus, Mónica D Ramírez-Andreotta, Aminata Kilungo, Ann Marie Wolf, Flor Sandoval, Palmira Henriquez

Abstract read
In one paragraph

Article in Pedagogy in health promotion, 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. Article
  2. Article
  3. Adapting to Climate Change: Leveraging Systems-Focused Multidisciplinary Research to Promote Resilience.International journal of environmental research and public health · 2022
    Review
  4. Article
  5. Public Participation, Trust and Data Sharing: Gardens as Hubs for Citizen Science and Environmental Health Literacy Efforts.International journal of science education. Part B. Communication and public engagement · 2019
    Article
  6. Increasing Environmental Health Literacy through Contextual Learning in Communities at Risk.International journal of environmental research and public health · 2018
    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

6 authors.

Shana SandhausUniversity of Arizona, Tucson, AZ, USA.ORCID 0000-0002-8625-6319
Mónica D Ramírez-AndreottaUniversity of Arizona, Tucson, AZ, USA.
Aminata KilungoUniversity of Arizona, Tucson, AZ, USA.
Ann Marie WolfSonora Environmental Research Institute, Tucson, AZ, USA.
Flor SandovalSonora Environmental Research Institute, Tucson, AZ, USA.
Palmira HenriquezSonora Environmental Research Institute, Tucson, AZ, USA.

Funding

TRANSPORT OF TRACE METALS IN A POLLUTED AQUIFERP42ES004940 · NIEHS · UNIVERSITY OF ARIZONA · PI Jon D Chorover · 1990 to 2026
$68.1M
NIEHS NIH HHS P42 ES004940
6 · The paper itself

Abstract

As global warming worsens, addressing environmental health disparities and justice is increasingly important. This necessity is evident in southern metropolitan Tucson, Arizona, an area underserved and disproportionately experiencing the effects of climate change. Including underserved groups in problem solving can spur knowledge generation and the building of community capacity to address and mitigate environmental health challenges posed by climate justice. This article describes a community-based project that utilized a peer education framework coupled with citizen science design. Community health workers (

Indexed as

citizen scienceclimate justicecommunity health workerpeer education

Identifiers

PMID34532567
PMCPMC8443210

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.