Evidence map›Paper›PMID 22522099›Full record

ArticleHealth & place2012

Area variations in health: a spatial multilevel modeling approach.

Mariana Arcaya, Mark Brewster, Corwin M Zigler, S V Subramanian

Abstract read
In one paragraph

Article in Health & place, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Developing an Index to Measure Structural Racism: Methodological Process, Challenges, and Considerations.International journal of environmental research and public health · 2026
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  18. Precision mapping child undernutrition for nearly 600,000 inhabited census villages in India.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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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

4 authors.

Mariana ArcayaDepartment of Society, Human Development and Health, Harvard School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA. marcaya@hsph.harvard.edu
Mark Brewster
Corwin M Zigler
S V Subramanian

Funding

GRADUATE TRAINING IN BIOSTATISTICST32ES007142 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Brent Andrew Coull · 1985 to 2026
$11.9M
Harvard Education Program in Cancer Prevention Control (R25T)R25CA057711 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI DAVISON, KIRSTEN · 1992 to 2018
$8.5M
PUBLIC HEALTH TRAINING FOR UNDERREPRESENTED MINORITIESR25GM055353 · NIGMS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI KAWACHI, ICHIRO · 1998 to 2013
$6.8M
Asthma Disparities: Advancing Multilevel Causal ModelsK25HL081275 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUBRAMANIAN, SANKARAN VENKATA · 2005 to 2009
$717k
NCI NIH HHS R25 CA057711NHLBI NIH HHS K25 HL081275NIEHS NIH HHS T32 ES007142NIGMS NIH HHS R25 GM055353
6 · The paper itself

Abstract

Both space and membership in geographically-embedded administrative units can produce variations in health, resulting in geographic clusters of good and poor health. Despite important differences between these two types of dependence, one is easily mistaken for the other, and the possibility that both are at work is commonly ignored. We fit a series of hierarchical and spatially-explicit multilevel models to a U.S. county-level life dataset of life expectancy in 1999 to demonstrate approaches for data analysis and interpretation when multiple sources of area-clustering are present. We demonstrate the methods to detect, interpret, and differentiate evidence of spatial and geographic membership effects and discuss key considerations for analyzing data with spatial or/and membership dimensions. We find evidence that life expectancy is driven by both within-state geographic process, and by spatial processes. We argue that considering spatial and membership processes simultaneously yields valuable insights into the patterning of area variations in health.

Indexed as

Geographic Information SystemsHealth StatusLife ExpectancyModels, TheoreticalData Interpretation, StatisticalHumansUnited States

Identifiers

PMID22522099
PMCPMC3758234

What OpenQuestion holds

Textmetadata
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Read underepoch 390

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.