Evidence map›Paper›PMID 27091201›Full record

ArticleInternational journal of public health2016

Interaction between education and income on the risk of all-cause mortality: prospective results from the MOLI-SANI study.

Marialaura Bonaccio, Augusto Di Castelnuovo, Simona Costanzo, Mariarosaria Persichillo, Maria Benedetta Donati, Giovanni de Gaetano, Licia Iacoviello

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Article in International journal of public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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3 · Its place in the literature

Who cites it

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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Marialaura BonaccioDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, IS, Italy. marialaura.bonaccio@neuromed.it.
Augusto Di CastelnuovoDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, IS, Italy.
Simona CostanzoDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, IS, Italy.
Mariarosaria PersichilloDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, IS, Italy.
Maria Benedetta DonatiDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, IS, Italy.
Giovanni de GaetanoDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, IS, Italy.
Licia IacovielloDepartment of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo NEUROMED, Pozzilli, IS, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate the separate and inter-related associations of education and household income in relation to all-cause mortality.

methodsProspective study on 16,247 men and women (≥35 years), a sub-sample of the MOLI-SANI cohort that had been randomly recruited within an Italian general population. Both education and income were used as categorical variables. Hazard ratios (HR) were calculated by Cox-proportional hazard models.

resultsOver a median follow-up of 7.7 years (125,016 person-years), 694 deaths were ascertained. Either education (HR = 0.68; 95 % CI 0.51-0.91) or income (HR = 0.57; 0.42-0.77) was inversely associated with mortality. After simultaneous adjustment, the association of education appeared to be largely explained by income. A significant interaction between both variables was found (p = 0.0078). The inverse association with mortality was stronger when a higher income was combined with a higher educational level (HR = 0.59; 0.38-0.92 for the highest combination of the two indicators).

conclusionsEither education or income was the predictor of mortality in a large sample of the Italian population. The two variables significantly interacted and the inverse association of income with mortality tended to be stronger within higher education groups.

Indexed as

Educational StatusMortalityAdultAgedAged, 80 and overCause of DeathFemaleHealth BehaviorHumansIncomeItalyMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsEducationIncomeInteractionMortality

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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.