Evidence map›Paper›PMID 41323579›Full record

ArticleFrontiers in public health2025

No hay paso: barriers to nature access faced by Mexicans in southern Arizona.

Rebecca M Crocker, Josselyne Diomara Sánchez, Gabriel Alvin Cruz

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rebecca M CrockerHealth Promotion Sciences, University of Arizona, Tucson, AZ, United States.
Josselyne Diomara SánchezHealth Promotion Sciences, University of Arizona, Tucson, AZ, United States.
Gabriel Alvin CruzCruz Farm, Douglas, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Mexican immigrants and other low-income populations in the United States face reduced access to natural environments, limiting their opportunities both to secure a wide range of associated health advantages and to participate fully in environmental stewardship and protection efforts. This ethnographic study was designed to investigate Mexicans' access to and engagement with natural environments over the course of international migration from Mexico to southern Arizona to help fill important gaps in our understanding of the intersectional nature barriers faced in this population. Methods: We conducted interviews with stakeholders and historical experts ( Results: Our analysis revealed barriers across all six levels of influence (planetary, interspecies, society, community, interpersonal, and individual) and multiple domains, including aridification of land, international migration, disruption to interspecies' relationships, discrimination, lack of time and energy, and emotional distress tied to immigration status. Discussion: This article confirms multilevel barriers identified in the literature as well as highlights additional barriers not previously recorded. This suggests the need for further research and especially health interventions geared to increase immigrants' access to nature to improve their health and heighten their ability to serve as effective advocates and stewards of the natural world.

Indexed as

Emigrants and ImmigrantsAdultAnthropology, CulturalArizonaFemaleHumansInterviews as TopicMaleMexicoMiddle AgedNorth American Peoplehealth benefits of natureMexican immigrantsmigration-related stressnature barriersNIMHD research frameworkOne Healthplanetary healthUS–Mexico border

Identifiers

PMID41323579
PMCPMC12661585

What OpenQuestion holds

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LicenceCC BY
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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.