Evidence map›Paper›PMID 23528813›Full record

ArticleInternational journal of environmental research and public health2013

Modeling the cumulative effects of social exposures on health: moving beyond disease-specific models.

Heather L White, Patricia O'Campo, Rahim Moineddin, Flora I Matheson

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Childhood Conditions and Multimorbidity Among Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2016
    Article
  9. Article
  10. 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

4 authors.

Heather L WhiteInstitute of Health Policy, Management and Evaluation, University of Toronto, Toronto, ON M5T 3M6, Canada. heatherlynn.white@mail.utoronto.ca
Patricia O'Campo
Rahim Moineddin
Flora I Matheson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The traditional explanatory models used in epidemiology are "disease specific", identifying risk factors for specific health conditions. Yet social exposures lead to a generalized, cumulative health impact which may not be specific to one illness. Disease-specific models may therefore misestimate social factors' effects on health. Using data from the Canadian Community Health Survey and Canada 2001 Census we construct and compare "disease-specific" and "generalized health impact" (GHI) models to gauge the negative health effects of one social exposure: socioeconomic position (SEP). We use logistic and multinomial multilevel modeling with neighbourhood-level material deprivation, individual-level education and household income to compare and contrast the two approaches. In disease-specific models, the social determinants under study were each associated with the health conditions of interest. However, larger effect sizes were apparent when outcomes were modeled as compound health problems (0, 1, 2, or 3+ conditions) using the GHI approach. To more accurately estimate social exposures' impacts on population health, researchers should consider a GHI framework.

Indexed as

Alcohol DrinkingDiabetes MellitusEnvironmental ExposureModels, BiologicalObesityTobacco Smoke PollutionAdolescentAdultChronic DiseaseFemaleHumansMaleMiddle AgedOdds RatioRisk FactorsSocial SupportTobacco Smoke Pollution

Identifiers

PMID23528813
PMCPMC3709312

What OpenQuestion holds

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LicenceCC BY
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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.