Evidence map›Paper›PMID 34662736›Full record

ArticleJournal of the American College of Surgeons2022

The Structural Violence Trap: Disparities in Homicide, Chronic Disease Death, and Social Factors Across San Francisco Neighborhoods.

Marissa A Boeck, Waverly Wei, Anamaria J Robles, Adaobi I Nwabuo, Rebecca E Plevin, Catherine J Juillard, Kirsten Bibbins-Domingo, Alan Hubbard, Rochelle A Dicker

Abstract read
In one paragraph

Article in Journal of the American College of Surgeons, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Marissa A BoeckFrom the Department of Surgery, Zuckerberg San Francisco General Hospital (Boeck, Robles, Nwabuo, Plevin, Juillard, Dicker), University of California, San Francisco, CA.
Waverly Weithe Department of Biostatistics, University of California Berkeley, Berkeley, CA (Wei, Hubbard).
Anamaria J RoblesFrom the Department of Surgery, Zuckerberg San Francisco General Hospital (Boeck, Robles, Nwabuo, Plevin, Juillard, Dicker), University of California, San Francisco, CA.
Adaobi I NwabuoFrom the Department of Surgery, Zuckerberg San Francisco General Hospital (Boeck, Robles, Nwabuo, Plevin, Juillard, Dicker), University of California, San Francisco, CA.
Rebecca E PlevinFrom the Department of Surgery, Zuckerberg San Francisco General Hospital (Boeck, Robles, Nwabuo, Plevin, Juillard, Dicker), University of California, San Francisco, CA.
Catherine J JuillardFrom the Department of Surgery, Zuckerberg San Francisco General Hospital (Boeck, Robles, Nwabuo, Plevin, Juillard, Dicker), University of California, San Francisco, CA.
Kirsten Bibbins-Domingothe Department of Epidemiology and Biostatistics (Bibbins-Domingo), University of California, San Francisco, CA.
Alan Hubbardthe Department of Biostatistics, University of California Berkeley, Berkeley, CA (Wei, Hubbard).
Rochelle A DickerFrom the Department of Surgery, Zuckerberg San Francisco General Hospital (Boeck, Robles, Nwabuo, Plevin, Juillard, Dicker), University of California, San Francisco, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn average, a person living in San Francisco can expect to live 83 years. This number conceals significant variation by sex, race, and place of residence. We examined deaths and area-based social factors by San Francisco neighborhood, hypothesizing that socially disadvantaged neighborhoods shoulder a disproportionate mortality burden across generations, especially deaths attributable to violence and chronic disease. These data will inform targeted interventions and guide further research into effective solutions for San Francisco's marginalized communities. STUDY

designThe San Francisco Department of Public Health provided data for the 2010-2014 top 20 causes of premature death by San Francisco neighborhood. Population-level demographic data were obtained from the US American Community Survey 2015 5-year estimate (2011-2015). The primary outcome was the association between years of life loss (YLL) and adjusted years of life lost (AYLL) for the top 20 causes of death in San Francisco and select social factors by neighborhood via linear regression analysis and heatmaps.

resultsThe top 20 causes accounted for N = 15,687 San Francisco resident deaths from 2010-2014. Eight neighborhoods (21.0%) accounted for 47.9% of city-wide YLLs, with 6 falling below the city-wide median household income and many having a higher percent population Black, and lower education and higher unemployment levels. For chronic diseases and homicides, AYLLs increased as a neighborhood's percent Black, below poverty level, unemployment, and below high school education increased.

conclusionsOur study highlights the mortality inequity burdening socially disadvantaged San Francisco neighborhoods, which align with areas subjected to historical discriminatory policies like redlining. These data emphasize the need to address past injustices and move toward equal access to wealth and health for all San Franciscans.

Indexed as

HomicideSocial FactorsChronic DiseaseHumansSan FranciscoViolence

Identifiers

PMID34662736
PMCPMC8719511

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.