Evidence map›Paper›PMID 26376166›Full record

ArticlePloS one2015

Education and Mortality in the Rome Longitudinal Study.

Laura Cacciani, Anna Maria Bargagli, Giulia Cesaroni, Francesco Forastiere, Nera Agabiti, Marina Davoli

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Cognitive trajectories in older adults and associated mortality and predictors.Social psychiatry and psychiatric epidemiology · 2025
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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.

Laura CaccianiDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Anna Maria BargagliDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Giulia CesaroniDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Francesco ForastiereDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Nera AgabitiDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.
Marina DavoliDepartment of Epidemiology, Lazio Regional Health Service, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large body of evidence supports an inverse association between socioeconomic status and mortality. We analysed data from a large cohort of residents in Rome followed-up between 2001 and 2012 to assess the relationship between individual education and mortality. We distinguished five causes of death and investigated the role of age, gender, and birthplace.

methodsFrom the Municipal Register we enrolled residents of Rome on October 21st 2001 and collected information on educational level attained from the 2001 Census. We selected Italian citizens aged 30-74 years and followed-up their vital status until 2012 (n = 1,283,767), identifying the cause of death from the Regional Mortality Registry. We calculated hazard ratios (HRs) for overall and cause-specific mortality in relation to education. We used age, gender, and birthplace for adjusted or stratified analyses. We used the inverse probability weighting approach to account for right censoring due to emigration.

resultsWe observed an inverse association between education (none vs. post-secondary+ level) and overall mortality (HRs(95%CIs): 2.1(1.98-2.17), males; 1.5(1.46-1.59), females) varying according to demographic characteristics. Cause-specific analysis also indicated an inverse association with education, in particular for respiratory, digestive or circulatory system related-mortality, and the youngest people seemed to be more vulnerable to low education.

conclusionOur results confirm the inverse association between education and overall or cause-specific mortality and show differentials particularly marked among young people compared to the elderly. The findings provide further evidence from the Mediterranean area, and may contribute to national and cross-country comparisons in Europe to understand the mechanisms generating socioeconomic differentials especially during the current recession period.

Indexed as

Educational StatusMortalitySocial ClassAdultAgedCensusesCohort StudiesFemaleHumansItalyLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID26376166
PMCPMC4572712

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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.