Evidence map›Paper›PMID 23824314›Full record

ArticleBMJ open2013

Mortality by education level at late-adult ages in Turin: a survival analysis using frailty models with period and cohort approaches.

Virginia Zarulli, Chiara Marinacci, Giuseppe Costa, Graziella Caselli

Abstract read
In one paragraph

Article in BMJ open, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. A Mixture-Function Mortality Model: Illustration of the Evolution of Premature Mortality.European journal of population = Revue europeenne de demographie · 2021
    Article
  3. Article
  4. Unobserved Heterogeneity of Frailty in the Analysis of Socioeconomic Differences in Health and Mortality.European journal of population = Revue europeenne de demographie · 2016
    Article
  5. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Virginia ZarulliMax Planck Odense Center on the Biodemography of Aging and Institute of Public Health, University of Southern Denmark, Odense, Denmark.
Chiara Marinacci
Giuseppe Costa
Graziella Caselli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNeglecting the presence of unobserved heterogeneity in survival analysis models has been showed to potentially lead to underestimating the effect of the covariates included in the analysis. This study aimed to investigate the role of unobserved heterogeneity of frailty on the estimation of mortality differentials from age 50 on by education level.

designLongitudinal mortality follow-up of the census-based Turin population linked with the city registry office.

settingItalian North-Western city of Turin, observation window 1971-2007. POPULATION: 391 170 men and 456 216 women followed from age 50. PRIMARY OUTCOME MEASURES: Mortality rate ratios obtained from survival analysis regression. Models were estimated with and without the component of unobserved heterogeneity of frailty and controlling for mortality improvement over time from both cohort and period perspectives.

resultsIn the majority of cases, the models without frailty estimated a smaller educational gradient than the models with frailty.

conclusionsThe results draw the attention of the potential underestimation of the mortality inequalities by socioeconomic levels in survival analysis models when not controlling for unobserved heterogeneity of frailty.

Indexed as

EpidemiologyPublic Health

Identifiers

PMID23824314
PMCPMC3703572

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