Evidence map›Paper›PMID 32982014›Full record

ArticleSocial indicators research2019

Objective and Subjective Socioeconomic Status, Their Discrepancy, and Health: Evidence from East Asia.

Emma Zang, Anthony R Bardo

Abstract read
In one paragraph

Article in Social indicators research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Emma ZangSanford School of Public Policy, Duke University, Durham, USA.
Anthony R BardoDepartment of Sociology, University of Kentucky, Lexington, USA.ORCID 0000-0003-3120-0745

Funding

T32 Administrative Supplement for Increase in Postdoc StipendsT32AG000139 · NIA · DUKE UNIVERSITY · PI LYNCH, SCOTT M. · 1987 to 2017
$4.0M
Explanations of Racial Disparities in Active LifeR03HD050374 · NICHD · PRINCETON UNIVERSITY · PI LYNCH, SCOTT M · 2005 to 2006
$156k
NIA NIH HHS T32 AG000139NICHD NIH HHS R03 HD050374
6 · The paper itself

Abstract

Socioeconomic status (SES) is largely understood to be a fundamental determinant of health. Recently, subjective socioeconomic status (SSS) has emerged as a potentially important predictor of health above and beyond traditional (i.e., objective) SES indicators (OSS). The current study adds to this emerging body of research by examining the potentially important role of status discrepancies for health outcomes. We used nationally representative data from three East Asian countries (China, Japan, and South Korea) (2010 East Asian Social Survey) and a non-linear statistical technique (i.e., diagonal mobility model) to simultaneously model the independent contributions of OSS and SSS and their discrepancy for three health outcomes. Findings showed that SSS does, in fact, explain additional variation in health net of OSS in most cases, and status discrepancy is not associated with any of the three health outcomes. While status discrepancy was not found to be a driving factor in determining the predictive power of SSS net of OSS (at least in East Asia), the present study adds robustness to the accumulating evidence that challenges the social inequality hypothesis and provides a basis from which future research can build and contribute further to the understanding surrounding socioeconomic status and health outcomes.

Indexed as

Diagonal mobility modelHealth disparitiesInternational Socio-Economic IndexSocial inequality

Identifiers

PMID32982014
PMCPMC7517660

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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.