Evidence map›Paper›PMID 38308327›Full record

ArticleBMC public health2024

Ideal cardiovascular health and risk of death in a large Swedish cohort.

Lijie Ding, Marta Ponzano, Alessandra Grotta, Hans-Olov Adami, Fuzhong Xue, Ylva Trolle Lagerros, Rino Bellocco, Weimin Ye

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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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

8 authors at 5 institutions in 4 countries.

Lijie Ding *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, SE17177, Sweden.
Marta Ponzano *Department of Health Sciences, University of Genoa, Genoa, Italy.
Alessandra GrottaDepartment of Public Health Sciences, Stockholm University, Stockholm, Sweden.
Hans-Olov AdamiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, SE17177, Sweden.
Fuzhong XueDepartment of Biostatistics, School of Public Health, Shandong University, Jinan, China.
Ylva Trolle LagerrosUnit of Clinical Epidemiology, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Rino Bellocco *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, SE17177, Sweden.
Weimin Ye *Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, Stockholm, SE17177, Sweden. weimin.ye@ki.se.
Karolinska Institutet · SEUniversity of Genoa · ITFujian Medical University · CNShandong Sport University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdeal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a large cohort.

methodsA total of 29,557 participants in the Swedish National March Cohort were included in this study. We ascertained 3,799 deaths during a median follow-up of 19 years. Cox regression models were used to estimate hazard ratios with 95% confidence intervals (95% CIs) of the association between CVH metrics with risk of death. Laplace regression was used to estimate 25th, 50th and 75th percentiles of age at death.

resultsCompared with those having 6-7 ideal CVH metrics, participants with 0-2 ideal metrics had 107% (95% CI = 46-192%) excess risk of all-cause, 224% (95% CI = 72-509%) excess risk of CVD and 108% (31-231%) excess risk of non-CVD death. The median age at death among those with 6-7 vs. 0-2 ideal metrics was extended by 4.2 years for all-causes, 5.8 years for CVD and 2.9 years for non-CVD, respectively. The observed associations were stronger among females than males.

conclusionsThe strong inverse association between number of ideal CVH metrics and risk of death supports the application of the proposed seven metrics for individual risk assessment and general health promotion.

Indexed as

Cardiovascular DiseasesCardiovascular SystemFemaleHealth StatusHumansMaleRisk AssessmentRisk FactorsSwedenUnited StatesCardiovascular diseasesCohort studiesIdeal cardiovascular healthMortalitySweden

Identifiers

PMID38308327
PMCPMC10837860
OpenAlexW4391486106

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.