Evidence map›Paper›PMID 21225675›Full record

ArticleArthritis care & research2011

Independent and combined influence of homeownership, occupation, education, income, and community poverty on physical health in persons with arthritis.

Leigh F Callahan, Kathryn Remmes Martin, Jack Shreffler, Deepak Kumar, Britta Schoster, Jay S Kaufman, Todd A Schwartz

Abstract read
In one paragraph

Article in Arthritis care & research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Obesity and the Development of Arthritis Among Adults in the United States Using NHANES Data.Clinical medicine insights. Arthritis and musculoskeletal disorders · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. [Sex-specific differences of the immune system].Zeitschrift fur Rheumatologie · 2014
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

7 authors.

Leigh F CallahanUniversity of North Carolina at Chapel Hill, USA. leigh_callahan@med.unc.edu
Kathryn Remmes Martin
Jack Shreffler
Deepak Kumar
Britta Schoster
Jay S Kaufman
Todd A Schwartz

Funding

Project 3P60AR049465 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JORDAN, JOANNE M. · 2003 to 2008
$6.0M
ARTHRITIS AND IMMUNOLOGYT32AR007416 · NIAMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JORDAN, JOANNE M. · 1986 to 2009
$2.5M
NIAMS NIH HHS 5T32-AR007416NIAMS NIH HHS P60 AR049465NIAMS NIH HHS P60-AR49465-01NIAMS NIH HHS T32 AR007416
6 · The paper itself

Abstract

objectiveTo examine the independent and combined influence of individual- and community-level socioeconomic status (SES) measures on physical health status outcomes in people with self-reported arthritis.

methodsFrom 2004-2005, 968 participants completed a telephone survey assessing health status, chronic conditions, community characteristics, and sociodemographic variables. Individual-level SES measures used included homeownership, occupation (professional or not), educational attainment (less than high school, high school degree, and more than high school), and income (<$15,000, $15,000-$45,000, and >$45,000). Community poverty (2000 US Census block group percentage of individuals living below the poverty line [low, medium, and high]) was used as a community-level SES measure. Outcomes were physical functioning (Medical Outcomes Study Short Form 12 version 2 physical component summary [PCS]), functional disability (Health Assessment Questionnaire [HAQ]), and the Centers for Disease Control and Prevention (CDC) Health-Related Quality of Life (HRQOL) Healthy Days physical and limited activity days, and were analyzed via multivariable regressions.

resultsWhen entered separately, all individual-level SES variables were significantly (P < 0.01) associated with poorer PCS, HAQ, and CDC HRQOL scores. A higher magnitude of effect was seen for household income, specifically <$15,000 per year in final models with all 4 individual SES measures and community poverty. The magnitude of effect for education is reduced and marginally significant for the PCS and number of physically unhealthy days. No effects were seen for occupation, homeownership, and community poverty.

conclusionFindings confirm that after adjusting for important covariates, lower individual- and community-level SES measures are associated with poorer physical health outcomes, while household income is the strongest predictor (as measured by both significance and effect) of poorer health status in final models. Studies not having participant-reported income available should make use of other SES measures, as they do independently predict physical health.

Indexed as

Educational StatusHealth StatusIncomePoverty AreasResidence CharacteristicsAdultAgedArthritisChi-Square DistributionDisability EvaluationFemaleHealth SurveysHumansLinear ModelsMaleMiddle Aged

Identifiers

PMID21225675
PMCPMC3091982

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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.