Evidence map›Paper›PMID 26166920›Full record

ArticlePopulation research and policy review2015

Exploring the inequality-mortality relationship in the US with Bayesian spatial modeling.

Tse-Chuan Yang, Leif Jensen

Abstract read
In one paragraph

Article in Population research and policy review, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

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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

2 authors.

Tse-Chuan YangDepartment of Sociology, Center for Social and Demographic Analysis, University at Albany, State University of New York, 315 Arts & Sciences Building, 1400 Washington Avenue, Albany, NY 12222, Tel: +1-518-442-4647.
Leif JensenDepartment of Agricultural Economics, Sociology and Education, The Population Research Institute, The Pennsylvania State University, 110-A Armsby, University Park, PA 16802, USA, Tel: +1-814-863-8642.

Funding

Population Research InstituteR24HD041025 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI HARDY, MELISSA ANN · 2001 to 2016
$9.7M
Developmental Infrastructure CoreR24HD044943 · NICHD · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI SHAW, BENJAMIN A · 2004 to 2016
$4.8M
NICHD NIH HHS R24 HD041025NICHD NIH HHS R24 HD044943
6 · The paper itself

Abstract

While there is evidence to suggest that socioeconomic inequality within places is associated with mortality rates among people living within them, the empirical connection between the two remains unsettled as potential confounders associated with racial and social structure are overlooked. This study seeks to test this relationship, to determine whether it is due to differential levels of deprivation and social capital, and does so with intrinsically conditional autoregressive Bayesian spatial modeling that effectively addresses the bias introduced by spatial dependence. We find that deprivation and social capital partly but not completely account for why inequality is positively associated with mortality and that spatial modeling generates more accurate predictions than does the traditional approach. We advance the literature by unveiling the intervening roles of social capital and deprivation in the inequality-mortality relationship and offering new evidence that inequality matters in US county mortality rates.

Indexed as

Bayesian spatial modelingconditional autoregressive modelingdeprivationinequalitymortality

Identifiers

PMID26166920
PMCPMC4493752

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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.