Evidence map›Paper›PMID 32392239›Full record

ArticlePloS one2020

30-year trends in major cardiovascular risk factors in the Czech population, Czech MONICA and Czech post-MONICA, 1985 - 2016/17.

Renata Cífková, Jan Bruthans, Peter Wohlfahrt, Alena Krajčoviechová, Pavel Šulc, Marie Jozífová, Lenka Eremiášová, Jan Pudil, Aleš Linhart, Jiří Widimský and 6 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

16 authors.

Renata CífkováCenter for Cardiovascular Prevention, First Faculty of Medicine and Thomayer Hospital, Charles University in Prague, Prague, Czech Republic.ORCID 0000-0003-2765-3821
Jan BruthansCenter for Cardiovascular Prevention, First Faculty of Medicine and Thomayer Hospital, Charles University in Prague, Prague, Czech Republic.
Peter WohlfahrtCenter for Cardiovascular Prevention, First Faculty of Medicine and Thomayer Hospital, Charles University in Prague, Prague, Czech Republic.
Alena KrajčoviechováCenter for Cardiovascular Prevention, First Faculty of Medicine and Thomayer Hospital, Charles University in Prague, Prague, Czech Republic.
Pavel ŠulcCenter for Cardiovascular Prevention, First Faculty of Medicine and Thomayer Hospital, Charles University in Prague, Prague, Czech Republic.ORCID 0000-0003-4485-6647
Marie JozífováCenter for Cardiovascular Prevention, First Faculty of Medicine and Thomayer Hospital, Charles University in Prague, Prague, Czech Republic.
Lenka EremiášováDepartment of Medicine II, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic.
Jan PudilDepartment of Medicine II, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic.
Aleš LinhartDepartment of Medicine II, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic.
Jiří WidimskýDepartment of Medicine III, Charles University in Prague, First Faculty of Medicine, Prague, Czech Republic.
Jan FilipovskýDepartment of Medicine II, Faculty of Medicine, Charles University, Pilsen, Czech Republic.
Otto MayerDepartment of Medicine II, Faculty of Medicine, Charles University, Pilsen, Czech Republic.
Zdenka ŠkodováDepartment of Preventive Cardiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Rudolf PoledneAtherosclerosis Research Laboratory, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Petr StávekAtherosclerosis Research Laboratory, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Věra LánskáMedical Statistics Unit, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompared with Western Europe, the decline in cardiovascular (CV) mortality has been delayed in former communist countries in Europe, including the Czech Republic. We have assessed longitudinal trends in major CV risk factors in the Czech Republic from 1985 to 2016/17, covering the transition from the totalitarian regime to democracy.

methodsThere were 7 independent cross-sectional surveys for major CV risk factors conducted in the Czech Republic in the same 6 country districts within the WHO MONICA Project (1985, 1988, 1992) and the Czech post-MONICA study (1997/98, 2000/01, 2007/08 and 2016/2017), including a total of 7,606 males and 8,050 females. The population samples were randomly selected (1%, aged 25-64 years).

resultsOver the period of 31/32 years, there was a significant decrease in the prevalence of smoking in males (from 45.0% to 23.9%; p < 0.001) and no change in females. BMI increased only in males. Systolic and diastolic blood pressure decreased significantly in both genders, while the prevalence of hypertension declined only in females. Awareness of hypertension, the proportion of individuals treated by antihypertensive drugs and consequently hypertension control improved in both genders. A substantial decrease in total cholesterol was seen in both sexes (males: from 6.21 ± 1.29 to 5.30 ± 1.05 mmol/L; p < 0.001; females: from 6.18 ± 1.26 to 5.31 ± 1.00 mmol/L; p < 0.001).

conclusionsThe significant improvement in most CV risk factors between 1985 and 2016/17 substantially contributed to the remarkable decrease in CV mortality in the Czech Republic.

Indexed as

AdultAntihypertensive AgentsBody Mass IndexCardiovascular DiseasesCigarette SmokingCross-Sectional StudiesCzech RepublicFemaleHealth Knowledge, Attitudes, PracticeHealth SurveysHumansHypercholesterolemiaHypertensionMaleMiddle AgedMorbidityAntihypertensive Agents

Identifiers

PMID32392239
PMCPMC7213700

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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.