Evidence map›Paper›PMID 25372286›Full record

ArticlePloS one2014

Social determinants and the classification of disease: descriptive epidemiology of selected socially mediated disease constellations.

Robert S Levine, Barbara A Kilbourne, George S Rust, Michael A Langston, Baqar A Husaini, Lisaann S Gittner, Maureen Sanderson, Charles H Hennekens

Abstract read
In one paragraph

Article in PloS one, 2014. 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. COVID-19: a Review of the Literature Regarding African American Patient Outcomes.Journal of African American studies (New Brunswick, N.J.) · 2021
    Review
  4. Article
  5. Article
  6. Article
  7. Five-Year Cancer Survival Rates in Oklahoma from 1997 to 2008.The Journal of the Oklahoma State Medical Association
    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

8 authors.

Robert S LevineDepartment of Family and Community Medicine, Meharry Medical College, Nashville, TN, United States of America.
Barbara A KilbourneDepartment of Family and Community Medicine, Meharry Medical College, Nashville, TN, United States of America; Department of Sociology, Tennessee State University, Nashville, TN, United States of America.
George S RustDepartment of Community and Preventive Medicine, Morehouse School of Medicine, Atlanta, GA, United States of America.
Michael A LangstonDepartment of Electrical Engineering and Information Technology, University of Tennessee, Knoxville, TN, United States of America.
Baqar A HusainiCenter for Prevention Research, Tennessee State University, Nashville, TN, United States of America.
Lisaann S GittnerDepartment of Political Science, Texas Tech University, Lubbock, TX, United States of America.
Maureen SandersonDepartment of Family and Community Medicine, Meharry Medical College, Nashville, TN, United States of America.
Charles H HennekensDepartment of Family and Community Medicine, Meharry Medical College, Nashville, TN, United States of America; Charles E. Schmidt College of Medicine, Department of Epidemiology, Florida Atlantic University, Boca Raton, FL, United States of America.

Funding

Training/Education CoreP20MD000516 · NIMHD · MEHARRY MEDICAL COLLEGE · PI ZOOROB, ROGER J · 2003 to 2013
$14.2M
NIMHD NIH HHS 2P20MD000516NIMHD NIH HHS P20 MD000516
6 · The paper itself

Abstract

backgroundMost major diseases have important social determinants. In this context, classification of disease based on etiologic or anatomic criteria may be neither mutually exclusive nor optimal. METHODS AND

findingsUnits of analysis comprised large metropolitan central and fringe metropolitan counties with reliable mortality rates--(n = 416). Participants included infants and adults ages 25 to 64 years with selected causes of death (1999 to 2006). Exposures included that residential segregation and race-specific social deprivation variables. Main outcome measures were obtained via principal components analyses with an orthogonal rotation to identify a common factor. To discern whether the common factor was socially mediated, negative binomial multiple regression models were developed for which the dependent variable was the common factor. Results showed that infant deaths, mortality from assault, and malignant neoplasm of the trachea, bronchus and lung formed a common factor for race-gender groups (black/white and men/women). Regression analyses showed statistically significant, positive associations between low socio-economic status for all race-gender groups and this common factor.

conclusionsBetween 1999 and 2006, deaths classified as "assault" and "lung cancer", as well as "infant mortality" formed a socially mediated factor detectable in population but not individual data. Despite limitations related to death certificate data, the results contribute important information to the formulation of several hypotheses: (a) disease classifications based on anatomic or etiologic criteria fail to account for social determinants; (b) social forces produce demographically and possibly geographically distinct population-based disease constellations; and (c) the individual components of population-based disease constellations (e.g., lung cancer) are phenotypically comparable from one population to another but genotypically different, in part, because of socially mediated epigenetic variations. Additional research may produce new taxonomies that unify social determinants with anatomic and/or etiologic determinants. This may lead to improved medical management of individuals and populations.

Indexed as

Social Determinants of HealthAdultDiseaseEpidemiologic MethodsEpidemiologyHumansInfantInfant MortalityMiddle AgedUnited States

Identifiers

PMID25372286
PMCPMC4220931

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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.