Evidence map›Paper›PMID 30519626›Full record

ArticleSSM - population health2018

Subjective assessments of income and social class on health and survival: An enigma.

Shukai Li, Qianyun Zhang, Peter Muennig

Abstract read
In one paragraph

Article in SSM - population health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Shukai LiGlobal Research Analytics for Population Health, Columbia University, New York City, NY, USA.
Qianyun ZhangDepartment of Pathology, University of New Mexico, Albuquerque, NM, USA.
Peter MuennigGlobal Research Analytics for Population Health, Columbia University, New York City, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the association between various measures of subjective social class identification (SSCI) and self-rated health as well as survival using the 2014 General Social Survey-National Death Index dataset (n = 21,108). We used multinomial logistic regression models to assess the association between SSCI and self-rated health and used Cox proportional hazards to assess the association between SSCI and survival. All analyses were adjusted for age, year at interview, race, gender, family income, and educational attainment level. The measures of SSCI that we had available were strongly correlated with self-rated health after controlling for objective measures of social status. For example, those who saw themselves as lower class were nine times as likely to self-report poor rather than excellent health status (odds ratio = 8.69; 95% confidence interval = 5.04-14.98) compared with those saw themselves as upper class. However, no such associations were observed for survival. While our alternative measures of SSCI were important predictors of self-rated health, they were not predictive of survival. This suggests that there may be potential confounding between two perceptions: SSCI and self-rated health.

Indexed as

EpidemiologyHealth policyHealth statusLongitudinal researchSelf-rated healthSocioeconomic disparities and healthSubjective social statusSurvival time

Identifiers

PMID30519626
PMCPMC6259035

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.