ArticleSSM - population health2026
The role of cardiovascular risk factors on educational and regional inequalities in mortality in Spain 2016-2022: An analysis using multiple causes of death.
Article in SSM - population health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Cardiovascular (CVD) mortality is a key component of life expectancy dynamics. CVD mortality is influenced by well-established risk factors and inequalities across and within sub-populations exist. This paper assesses the role of risk factors on educational and regional inequalities in CVD and all-cause mortality in Spain and its regions (2016-2022). Methods: Using multiple cause-of-death mortality data, we examine two indicators of CVD mortality: 1) Deaths with CVDs as the underlying cause (CVD mortality); and 2) deaths with CVDs as the underlying cause and a mention in the death certificate of any of the following risk factors: diabetes, chronic kidney disease, obesity, lipidemias and hypertension (CVD mortality with risk factors). We use Poisson models to estimate Relative Index of Inequalities (RII) and counterfactual scenarios to estimate potential gains in life expectancy at age 35 resulting from eliminating educational and regional inequalities in risk factors associated with CVDs. Results: CVD deaths with any mentions of risk factors contributed to approximately one-third of CVD deaths and were strongly associated with CVD mortality and CVD mortality inequalities, especially among females. Eliminating inequalities in risk factors associated with CVDs would yield gains in life expectancy (for Spain: 0.19 years among females, 0.14 years among males), with regional variation. These gains were higher than expected compared to its relative weight on CVD and all-cause mortality. Conclusions: Our results suggest that targeting well-established risk factors is an effective strategy for regional health policies, to improve overall life expectancy and CVD mortality and to reduce socioeconomic inequalities.
Identifiers
What OpenQuestion holds
Registered trials
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.