Evidence map›Paper›PMID 30896368›Full record

ArticleJournal of primary care & community health

Health-Predictive Social-Environmental Stressors and Social Buffers Are Place Based: A Multilevel Example From San Bernardino Communities.

Kristen N Arthur, Synnøve F Knutsen, Rhonda Spencer-Hwang, David Shavlik, Susanne Montgomery

Abstract read
In one paragraph

Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Kristen N Arthur1 Loma Linda University School of Public Health, Loma Linda, CA, USA.ORCID 0000-0001-9161-8452
Synnøve F Knutsen1 Loma Linda University School of Public Health, Loma Linda, CA, USA.
Rhonda Spencer-Hwang1 Loma Linda University School of Public Health, Loma Linda, CA, USA.
David Shavlik1 Loma Linda University School of Public Health, Loma Linda, CA, USA.
Susanne Montgomery1 Loma Linda University School of Public Health, Loma Linda, CA, USA.

Funding

Research Training/Education CoreP20MD006988 · NIMHD · LOMA LINDA UNIVERSITY · PI CASIANO, CARLOS A. · 2012 to 2016
$6.2M
NIMHD NIH HHS P20 MD006988
6 · The paper itself

Abstract

Significant evidence demonstrates the powerful effects social determinants have on health-related perceptions, behaviors, and health outcomes. However, these factors are often studied out of context, despite the acknowledgement that social determinants of health are place based. This research aimed to demonstrate that health-related perceptions are dependent on where one lives. Via a community-based participatory study, participants were randomly selected from 3 residential regions varying distances from a freight railyard (nearest n = 300, middle n = 338, farthest n = 327), all mostly low-income, predominately Latino areas. Interview-administered surveys with adults were collected by bilingual trained community members (87% response) in English/Spanish. Adjusted-logistic regression models assessed residential region as a predictor of stressors (perceptions of community safety, community noise disturbance, health care access, food insecurity) and buffers (3 neighborhood cohesion variables), after adjusting for household income, race/ethnicity, gender, and age. Each region experienced a unique amalgam of stressors and buffers. In general, the region closest to the railyard experienced more stressors (odds ratio [OR] = 1.58; 95% CI 1.12-2.20) and less buffers (OR = 0.69; 95% CI 0.49-0.96) than the region furthest from the railyard. More than half of participants in each region reported 2 or more stressors and 2 or more buffers. In this seemingly homogenous study population, place remained important in spite of traditionally used socioeconomic factors, such as household income and race/ethnicity. Social determinants of health should be studied with regard to their environmental context, which will require interdisciplinary collaboration to improve multilevel research methods. Including the study of social buffers will also promote sustainable, positive change to reduce health disparities.

Indexed as

NoiseSocial EnvironmentAdultBlack or African AmericanCaliforniaCommunity-Based Participatory ResearchFemaleFood SupplyHealth Services AccessibilityHispanic or LatinoHumansLogistic ModelsMaleMiddle AgedMultilevel AnalysisPovertybuffersenvironmental determinantshealth determinant disparitiesinterdisciplinaryperceptionssocial determinantsstressors

Identifiers

PMID30896368
PMCPMC6429653

What OpenQuestion holds

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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.