Evidence map›Paper›PMID 39928731›Full record

ArticleThe Journal of head trauma rehabilitation

Effects of Home Neighborhood Tree Canopy Coverage on Mental Health Outcomes: A Traumatic Brain Injury Model Systems Investigation.

Shannon B Juengst, Raj G Kumar, Alexandra Holland, Achituv Cohen, Trisalyn A Nelson, John D Corrigan, Angelle M Sander, Paul B Perrin, Umesh M Venkatesan, Amanda Rabinowitz and 3 more

Abstract read
In one paragraph

Article in The Journal of head trauma rehabilitation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Shannon B JuengstAuthor Affiliations: Brain Injury Research Center,TIRR Memorial Hermann, Houston, Texas (Drs Juengst and Sander); Department of Physical Medicine & Rehabilitation, University of Texas Health Sciences Center at Houston, Houston, Texas (Dr Juengst); Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York (Dr Kumar); School of Public and Population Health, University of Texas Medical Branch, Galveston, Texas (Ms Holland); Department of Civil Engineering at Ariel University, Ariel, Israel (Dr Cohen); Spatial Pattern Analysis and Research Lab, Department of Geography at University of California, Santa Barbara, California(Dr Nelson); Department of Physical Medicine & Rehabilitation, The Ohio State University, Columbus, Ohio (Dr Corrigan); H. Ben Taub Department of Physical Medicine and Rehabilitation, Baylor College of Medicine, Houston, Texas (Dr Sander); School of Data Science and Department of Psychology, University of Virginia, Charlottesville, Virginia (Dr Perrin); Central Virginia Veterans Affairs Health Care System, Richmond, Virginia (Dr Perrin); Moss Rehabilitation Research Institute, Elkins Park, Pennsylvania (Drs Venkatesan and Rabinowitz); Department of Rehabilitation Medicine, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania (Drs Venkatesan and Rabinowitz); Baylor Scott and White Research Institute, Dallas, Texas (Dr Driver); Departments of Psychiatry and Physical Medicine & Rehabilitation, University of Texas Southwestern Medical Center, Dallas, Texas (Dr Wilmoth); and Department of Research, Craig Hospital, Englewood, Colorado (Dr Tefertiller).ORCID 0000-0003-4709-545
Raj G Kumar
Alexandra Holland
Achituv Cohen
Trisalyn A Nelson
John D Corrigan
Angelle M Sander
Paul B Perrin
Umesh M Venkatesan
Amanda Rabinowitz
Simon Driver
Kristin Wilmoth
Candace Tefertiller

Funding

HEALTH OF OLDER MINORITIEST32AG000270 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI Brian Gregory Downer, NEIL MEHTA · 1999 to 2026
$5.2M
NIA NIH HHS T32 AG000270
6 · The paper itself

Abstract

objectiveExplore the relationship between tree canopy coverage (TCC) in one's home neighborhood and mental health outcomes, and how these relationships differ by home neighborhood factors, among persons with traumatic brain injury (TBI) in the United States.

settingCommunity.

participantsEnrolled in the TBI Model Systems National Database with completed follow-up interview after January 1, 2017.

designSecondary analysis of cross-sectional data. MAIN MEASURES: Neighborhood (census tract) Percent TCC, depressive (Patient Health Questionnaire-9) and anxiety (General Anxiety Disorder-7) symptoms (scores ≥10 on each measure), personal/demographic (age, sex, education, homebound status), and neighborhood factors (type, socioeconomic disadvantage).

resultsSeparate negative binomial regression models were constructed for the 2 mental health outcomes (depression and anxiety symptoms). Covariates in final models were age, sex, neighborhood type, Functional Independence Measure (FIM) total (concurrent), driving status, homebound status, and neighborhood-level socioeconomic disadvantage. The interaction between Percent TCC and neighborhood type (but not homebound status) was significant for depression and anxiety symptoms. The nature of the significant interaction was such that, for both mental health outcomes, those living in rural neighborhoods with higher Percent TCC were more likely to have moderate to severe mental health symptoms. However, this effect was attenuated after adding neighborhood level socioeconomic disadvantage, suggesting that part of the effect may be due to socioeconomic characteristics of rural versus other neighborhoods.

conclusionsAfter adjusting for SDoH, the direct effect of TCC on mental health after TBI was small and opposite the direction hypothesized (higher TCC associated with poorer mental health), particularly for those living in rural neighborhoods potentially more likely to experience socioeconomic disadvantage. Our findings highlight the importance of evaluating interactions between different aspects of the social (eg, SDoH), natural (eg, greenspace), and built (eg, neighborhood type) environment to provide a comprehensive understanding of factors affecting health after TBI.

Indexed as

AnxietyBrain Injuries, TraumaticDepressionMental HealthNeighborhood CharacteristicsResidence CharacteristicsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSocioeconomic FactorsUnited States

Identifiers

PMID39928731
PMCPMC12164226

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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.