Evidence map›Paper›PMID 27413589›Full record

ArticleOpen journal of statistics2016

Statistical Assessment of Neighborhood Socioeconomic Deprivation Environment in Spatial Epidemiologic Studies.

Min Lian, James Struthers, Ying Liu

Abstract read
In one paragraph

Article in Open journal of statistics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  10. Review
  11. Article
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  14. Socioeconomic Factors and Pediatric Injury.Current trauma reports · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Socioeconomic characteristics of African American women attending community blood pressure screenings.American heart journal plus : cardiology research and practice · 2022
    Article
  20. 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

3 authors.

Min LianDivision of General Medical Sciences, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA; Alvin J. Siteman Cancer Center at Barnes-Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA.
James StruthersDivision of General Medical Sciences, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Ying LiuDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA.

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
NEIGHBORHOOD, FAMILY AND INDIVIDUAL FACTORS IN ADOLESCENT DRINKINGR01AA021492 · NIAAA · WASHINGTON UNIVERSITY · PI HEATH, ANDREW C., SCHOOTMAN, MARIO · 2013 to 2016
$1.2M
GENE-NEIGHBORHOOD INTERACTION IN ADOLESCENT AND YOUNG ADULT SMOKINGK07CA178331 · NCI · WASHINGTON UNIVERSITY · PI LIAN, MIN · 2013 to 2017
$661k
MODELING SPATIAL ACCESSIBILITY TO LOWER ENDOSCOPY SERVICES IN THE UNITED STATESR21CA169807 · NCI · WASHINGTON UNIVERSITY · PI LIAN, MIN · 2013 to 2014
$359k
NCI NIH HHS K07 CA178331NCI NIH HHS P30 CA091842NCI NIH HHS R21 CA169807NIAAA NIH HHS R01 AA021492
6 · The paper itself

Abstract

Neighborhood socioeconomic deprivation has been associated with health behaviors and outcomes. However, neighborhood socioeconomic status has been measured inconsistently across studies. It remains unclear whether appropriate socioeconomic indicators vary over geographic areas and geographic levels. The aim of this study is to compare the composite socioeconomic index to six socioeconomic indicators reflecting different aspects of socioeconomic environment by both geographic areas and levels. Using 2000 U.S. Census data, we performed a multivariate common factor analysis to identify significant socioeconomic resources and constructed 12 composite indexes at the county, the census tract, and the block group levels across the nation and for three states, respectively. We assessed the agreement between composite indexes and single socioeconomic variables. The component of the composite index varied across geographic areas. At a specific geographic region, the component of the composite index was similar at the levels of census tracts and block groups but different from that at the county level. The percentage of population below federal poverty line was a significant contributor to the composite index, regardless of geographic areas and levels. Compared with non-component socioeconomic indicators, component variables were more agreeable to the composite index. Based on these findings, we conclude that a composite index is better as a measure of neighborhood socioeconomic deprivation than a single indicator, and it should be constructed on an area- and unit-specific basis to accurately identify and quantify small-area socioeconomic inequalities over a specific study region.

Indexed as

assessmentdeprivationneighborhoodsocioeconomicspatial epidemiology

Identifiers

PMID27413589
PMCPMC4940131

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.