Evidence map›Paper›PMID 24497983›Full record

ArticlePloS one2014

The relation of rapid changes in obesity measures to lipid profile - insights from a nationwide metabolic health survey in 444 Polish cities.

Bernhard M Kaess, Jacek Jóźwiak, Christopher P Nelson, Witold Lukas, Mirosław Mastej, Adam Windak, Tomasz Tomasik, Władysław Grzeszczak, Andrzej Tykarski, Jerzy Gąsowski and 7 more

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

17 authors.

Bernhard M KaessDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom ; Deutsches Herzzentrum, Technische Universität, Munich, Germany ; Department for Internal Medicine II, University Hospital Regensburg, Regensburg, Germany.
Jacek JóźwiakDepartment of Public Health, Częstochowa University of Technology, Częstochowa, Poland ; Silesian Analytical Laboratories, Katowice, Poland.
Christopher P NelsonDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom ; The NIHR Leicester Biomedical Research Unit in Cardiovascular Disease, Leicester, United Kingdom.
Witold LukasDepartment of Family Medicine, Medical University of Silesia, Zabrze, Poland.
Mirosław MastejSilesian Analytical Laboratories, Katowice, Poland.
Adam WindakDepartment of Family Medicine, Jagiellonian University Medical College, Kraków, Poland.
Tomasz TomasikDepartment of Family Medicine, Jagiellonian University Medical College, Kraków, Poland.
Władysław GrzeszczakDepartment of Internal Diseases, Diabetology and Nephrology, Medical University of Silesia, Zabrze, Poland.
Andrzej TykarskiDepartment of Hypertension, Vascular Diseases, and Internal Diseases, University of Medical Sciences, Poznań, Poland.
Jerzy GąsowskiDepartment of Internal Medicine and Gerontology, Jagiellonian University Medical College, Kraków, Poland.
Izabella Ślęzak-ProchazkaDepartment of Public Health, Częstochowa University of Technology, Częstochowa, Poland.
Andrzej ŚlęzakDepartment of Public Health, Częstochowa University of Technology, Częstochowa, Poland.
Fadi J CharcharDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom ; School of Health Sciences, University of Ballarat, Ballarat, Australia.
Naveed SattarInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom.
John R ThompsonThe NIHR Leicester Biomedical Research Unit in Cardiovascular Disease, Leicester, United Kingdom ; Department of Health Sciences, University of Leicester, Leicester, United Kingdom.
Nilesh J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom ; The NIHR Leicester Biomedical Research Unit in Cardiovascular Disease, Leicester, United Kingdom.
Maciej TomaszewskiDepartment of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom ; The NIHR Leicester Biomedical Research Unit in Cardiovascular Disease, Leicester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe impact of fast changes in obesity indices on other measures of metabolic health is poorly defined in the general population. Using the Polish accession to the European Union as a model of political and social transformation we examined how an expected rapid increase in body mass index (BMI) and waist circumference relates to changes in lipid profile, both at the population and personal level.

methodsThrough primary care centres in 444 Polish cities, two cross-sectional nationwide population-based surveys (LIPIDOGRAM 2004 and LIPIDOGRAM 2006) examined 15,404 and 15,453 adult individuals in 2004 and 2006, respectively. A separate prospective sample of 1,840 individuals recruited in 2004 had a follow-up in 2006 (LIPIDOGRAM PLUS).

resultsTwo years after Polish accession to European Union, mean population BMI and waist circumference increased by 0.6% and 0.9%, respectively. This tracked with a 7.6% drop in HDL-cholesterol and a 2.1% increase in triglycerides (all p<0.001) nationwide. The direction and magnitude of the population changes were replicated at the personal level in LIPIDOGRAM PLUS (0.7%, 0.3%, 8.6% and 1.8%, respectively). However, increases in BMI and waist circumference were both only weakly associated with HDL-cholesterol and triglycerides changes prospectively. The relation of BMI to the magnitude of change in both lipid fractions was comparable to that of waist circumference.

conclusionsModerate changes in obesity measures tracked with a significant deterioration in measures of pro-atherogenic dyslipidaemia at both personal and population level. These associations were predominantly driven by factors not measureable directly through either BMI or waist circumference.

Indexed as

Lipid MetabolismAdultAgedBody Mass IndexCardiovascular DiseasesCholesterolCholesterol, HDLCitiesCross-Sectional StudiesEuropean UnionFastingFemaleHealth SurveysHumansLipidsMaleCholesterolCholesterol, HDLLipidsTriglycerides

Identifiers

PMID24497983
PMCPMC3908946

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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.