Evidence map›Paper›PMID 27543113›Full record

ArticleBMC public health2016

Trends in risk factors for coronary heart disease in the Netherlands.

C Koopman, I Vaartjes, A Blokstra, W M M Verschuren, M Visser, D J H Deeg, M L Bots, I van Dis

Abstract read
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

8 authors.

C KoopmanJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht (STR 6.131), P.O. Box 85500, 3508 GA, Utrecht, The Netherlands. C.Koopman-5@umcutrecht.nl.
I VaartjesJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht (STR 6.131), P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
A BlokstraNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.
W M M VerschurenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht (STR 6.131), P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
M VisserDepartment of Health Sciences, EMGO+ Institute, VU University, Amsterdam, The Netherlands.
D J H DeegDepartment of Health Sciences, EMGO+ Institute, VU University, Amsterdam, The Netherlands.
M L BotsJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht (STR 6.131), P.O. Box 85500, 3508 GA, Utrecht, The Netherlands.
I van DisDutch Heart Foundation, The Hague, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFavourable trends in risk factor levels in the general population may partly explain the decline in coronary heart disease (CHD) morbidity and mortality. Our aim was to present long-term national trends in established risk factors for CHD.

methodsData were obtained from five data sources including several large scale population based surveys, cohort studies and general practitioner registers between 1988 and 2012. We applied linear regression models to age-standardized time trends to test for statistical significant trends. Analyses were stratified by sex and age (younger <65 and older ≥65 years adults).

resultsThe results demonstrated favourable trends in smoking (except in older women) and physical activity (except in older men). Unfavourable trends were found for body mass index (BMI) and diabetes mellitus prevalence. Although systolic blood pressure (SBP) and total cholesterol trends were favourable for older persons, SBP and total cholesterol remained stable in younger persons.

conclusionsFour out of six risk factors for CHD showed a favourable or stable trend. The rise in diabetes mellitus and BMI is worrying with respect to CHD morbidity and mortality.

Indexed as

Blood PressureExerciseAdolescentAdultAgedBody Mass IndexCholesterolCoronary Artery DiseaseCoronary DiseaseDiabetes ComplicationsDiabetes MellitusFemaleHumansLinear ModelsMaleMiddle AgedCholesterolCoronary heart diseaseRisk factorsthe NetherlandsTrends

Identifiers

PMID27543113
PMCPMC4992244

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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.