Evidence map›Paper›PMID 23568593›Full record

ArticleAmerican journal of epidemiology2013

Can changes in the distributions of and associations between education and income bias temporal comparisons of health disparities? An exploration with causal graphs and simulations.

Jarvis T Chen, Jason Beckfield, Pamela D Waterman, Nancy Krieger

Abstract read
In one paragraph

Article in American journal of epidemiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  7. Unobserved Heterogeneity of Frailty in the Analysis of Socioeconomic Differences in Health and Mortality.European journal of population = Revue europeenne de demographie · 2016
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jarvis T Chen
Jason Beckfield
Pamela D Waterman
Nancy Krieger

Funding

EXPLORING TRENDS IN US HEALTH INEQUITIES IN CONTEXT: NHES TO NHANES, 1959-2006R21HD060828 · NICHD · HARVARD SCHOOL OF PUBLIC HEALTH · PI KRIEGER, NANCY · 2011 to 2012
$565k
NICHD NIH HHS 1R21HD060828-01A2NICHD NIH HHS R21 HD060828
6 · The paper itself

Abstract

Although socioeconomic position is conceptualized by social epidemiologists as a multidimensional construct, most research on socioeconomic disparities in health uses a limited set of observable indicators (e.g., educational attainment, household income, or occupational class) and typically analyzes and reports gradients in relation to one measure at a time. Societal changes in economic structures over time, however, can lead to changes in distributions of and associations between socioeconomic indicators, as has occurred with income returns to education in the United States over the last 50 years. Consequently, temporal comparisons of socioeconomic disparities from repeated cross-sectional surveys can be affected, particularly when salient dimensions of socioeconomic position are unobserved. We discuss this phenomenon within the framework of measurement error and identify sources of variation that can make identification of socioeconomic change difficult. Using simulations, we explore the utility of the quantile, slope index of inequality, and relative distribution approaches to minimizing bias in temporal comparisons and find that these methods yield correct inferences about temporal change only under limited conditions. We contrast these approaches with the use of an imputation model when validation data for the unobserved socioeconomic indicator exist. We discuss implications for analyzing changing socioeconomic health disparities over time.

Indexed as

Educational StatusHealth Status DisparitiesSocial ClassBiasCausalityComputer SimulationEpidemiologic MethodsHealth SurveysHumansLinear ModelsUnited Statesbiascausal inferenceeducationepidemiologic methodsincomerelative index of inequalitysecular trendssocioeconomics

Identifiers

PMID23568593
PMCPMC4023297

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.