Evidence map›Paper›PMID 26282122›Full record

ArticleBMC cardiovascular disorders2015

Associations between risk factors in childhood (12-13 years) and adulthood (48-49 years) and subclinical atherosclerosis: the Kaunas Cardiovascular Risk Cohort Study.

Indre Ceponiene, Jurate Klumbiene, Egle Tamuleviciute-Prasciene, Justina Motiejunaite, Edita Sakyte, Jonas Ceponis, Rimvydas Slapikas, Janina Petkeviciene

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2015. 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
1.9field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  3. 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 1 institution in 1 country.

Indre CeponieneDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Eiveniu 2, Kaunas, LT-50009, Lithuania. indreva@gmail.com.
Jurate KlumbieneFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, LT-49264, Lithuania. Jurate.Klumbiene@lsmuni.lt.
Egle Tamuleviciute-PrascieneDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Eiveniu 2, Kaunas, LT-50009, Lithuania. egle.prasciene@gmail.com.
Justina MotiejunaiteDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Eiveniu 2, Kaunas, LT-50009, Lithuania. jusstuke@hotmail.com.
Edita SakyteFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, LT-49264, Lithuania. edita.sakyte@lsmuni.lt.
Jonas CeponisDepartment of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Eiveniu 2, Kaunas, LT-50009, Lithuania. ceponis@gmail.com.
Rimvydas SlapikasDepartment of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Eiveniu 2, Kaunas, LT-50009, Lithuania. rimvydas.slapikas@kaunoklinikos.lt.
Janina PetkevicieneFaculty of Public Health, Medical Academy, Lithuanian University of Health Sciences, Siaures av. 57, Kaunas, LT-49264, Lithuania. Janina.Petkeviciene@lsmuni.lt.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe data on the childhood determinants of adult cardiovascular disease (CVD) are lacking in populations of Eastern Europe that are characterised by substantially high CVD mortality. From a public health perspective, it is important to identify high-risk individuals as early as possible in order to have the greatest benefit of preventive interventions. The aim of this study was to evaluate the associations of childhood and adulthood traditional risk factors with subclinical atherosclerosis and arterial stiffness in a Lithuanian cohort followed up for 35 years.

methodsThe study cohort consisted of 380 adults aged 48-49 from Kaunas Cardiovascular Risk Cohort study, who were followed up since childhood (12-13 years). The baseline survey (1977) included blood pressure (BP) and anthropometric measurements and sexual maturity scale. In the follow-up survey (2012), BP, anthropometric and lipids measurements, interview about smoking, measurement of carotid intima-media thickness (IMT) and determination of pulse wave velocity (PWV) were performed. Two types of general linear models were applied to test the associations of childhood and adulthood risk factors with IMT and PWV. Model 1 included only childhood variables. In model 2, adulthood variables were added to childhood variables.

resultsIn linear regression model with childhood variables childhood systolic BP (β = 0.014; p = 0.016) and BMI (β = 0.006; p = 0.003) were directly associated with IMT only in women. When adulthood variables were included into regression model, the association between childhood systolic BP and IMT remained significant (β = 0.013; p = 0.021), while childhood BMI was not associated with IMT (β = 0.003; p = 0.143). Additionally, association of adult smoking and IMT was found in women (β = 0.033; p = 0.018). IMT of men was directly related to adult systolic BP (β = 0.022; p = 0.018) and inversely to HDL cholesterol level (β = -0.044; p = 0.021). PWV was directly associated only with adult systolic BP in both genders (β = 0.729 for men and β = 0.476 for women; p = 0.001).

conclusionsSex differences in the associations between childhood and adulthood risk factors and subclinical atherosclerosis were found. The results of the study support efforts to reduce conventional risk factors both in childhood and adulthood for the primary prevention of atherosclerosis.

Indexed as

Body Mass IndexCarotid Intima-Media ThicknessAdolescentAge FactorsAtherosclerosisBlood PressureCardiovascular DiseasesChildCholesterol, HDLCohort StudiesFemaleHumansLithuaniaMaleMiddle AgedProspective StudiesCholesterol, HDL

Identifiers

PMID26282122
PMCPMC4539717
OpenAlexW1908784160

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.