Evidence map›Paper›PMID 29408939›Full record

ArticlePloS one2018

A structural equation modeling approach to understanding pathways that connect socioeconomic status and smoking.

Sydney A Martinez, Laura A Beebe, David M Thompson, Theodore L Wagener, Deirdra R Terrell, Janis E Campbell

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
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

29 citing papers in PubMed, 71 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Sydney A MartinezDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center Oklahoma City, Oklahoma, United States of America.ORCID 0000-0003-1226-7506
Laura A BeebeDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center Oklahoma City, Oklahoma, United States of America.
David M ThompsonDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center Oklahoma City, Oklahoma, United States of America.
Theodore L WagenerDepartment of Pediatrics, Oklahoma Tobacco Research Center, University of Oklahoma Health Sciences Center Oklahoma City, Oklahoma, United States of America.
Deirdra R TerrellDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center Oklahoma City, Oklahoma, United States of America.
Janis E CampbellDepartment of Biostatistics and Epidemiology, College of Public Health, University of Oklahoma Health Sciences Center Oklahoma City, Oklahoma, United States of America.
University of Oklahoma Health Sciences Center · US

Funding

Tracking and Evaluation CoreU54GM104938 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TIMOTHY M VANWAGONER · 2013 to 2026
$68.2M
Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI Resham Bhattacharya · 2018 to 2026
$27.1M
Addressing Health Disparities among Oklahoma Minority and Rural Communities through Clinical Research Education and Career DevelopmentR25MD011564 · NIMHD · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI HOUCHEN, COURTNEY WAYNE, STAVRAKIS, STAVROS · 2017 to 2021
$2.7M
Life after Recovery in Adult Thrombotic Thrombocytopenic Purpura (TTP): Let's Hear It from the SurvivorsK01HL135466 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI TERRELL, DEIRDRA R · 2017 to 2021
$687k
NCI NIH HHS P30 CA225520NHLBI NIH HHS K01 HL135466NIGMS NIH HHS U54 GM104938NIMHD NIH HHS R25 MD011564
6 · The paper itself

Abstract

The inverse association between socioeconomic status and smoking is well established, yet the mechanisms that drive this relationship are unclear. We developed and tested four theoretical models of the pathways that link socioeconomic status to current smoking prevalence using a structural equation modeling (SEM) approach. Using data from the 2013 National Health Interview Survey, we selected four indicator variables (poverty ratio, personal earnings, educational attainment, and employment status) that we hypothesize underlie a latent variable, socioeconomic status. We measured direct, indirect, and total effects of socioeconomic status on smoking on four pathways through four latent variables representing social cohesion, financial strain, sleep disturbance, and psychological distress. Results of the model indicated that the probability of being a smoker decreased by 26% of a standard deviation for every one standard deviation increase in socioeconomic status. The direct effects of socioeconomic status on smoking accounted for the majority of the total effects, but the overall model also included significant indirect effects. Of the four mediators, sleep disturbance and psychological distress had the largest total effects on current smoking. We explored the use of structural equation modeling in epidemiology to quantify effects of socioeconomic status on smoking through four social and psychological factors to identify potential targets for interventions. A better understanding of the complex relationship between socioeconomic status and smoking is critical as we continue to reduce the burden of tobacco and eliminate health disparities related to smoking.

Indexed as

SmokingSocial ClassFemaleHealth SurveysHumansMaleMiddle AgedSleep Wake DisordersSocial BehaviorStress, Psychological

Identifiers

PMID29408939
PMCPMC5800669
OpenAlexW2792838758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.