Evidence map›Paper›PMID 28621751›Full record

ArticleInternational journal of environmental research and public health2017

Geographic Variations in Cardiometabolic Risk Factors in Luxembourg.

Ala'a Alkerwi, Illiasse El Bahi, Saverio Stranges, Jean Beissel, Charles Delagardelle, Stephanie Noppe, Ngianga-Bakwin Kandala

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

7 authors.

Ala'a AlkerwiLuxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg. Alaa.AlKerwi@lih.lu.
Illiasse El BahiLuxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg. Illiasse.ElBahi@lih.lu.
Saverio StrangesLuxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg. saverio.stranges@uwo.ca.
Jean BeisselCentre Hospitalier du Luxembourg, Grand-Duchy of Luxembourg, 1210 Luxembourg City, Luxembourg. beissel.jean@chl.lu.
Charles DelagardelleCentre Hospitalier du Luxembourg, Grand-Duchy of Luxembourg, 1210 Luxembourg City, Luxembourg. Delagardelle.Charles@chl.lu.
Stephanie NoppeCentre Hospitalier du Luxembourg, Grand-Duchy of Luxembourg, 1210 Luxembourg City, Luxembourg. Noppe.Stephanie@chl.lu.
Ngianga-Bakwin KandalaLuxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg. ngianga-bakwin.kandala@northumbria.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) and associated behavioural and metabolic risk factors constitute a major public health concern at a global level. Many reports worldwide have documented different risk profiles for populations with demographic variations. The objective of this study was to examine geographic variations in the top leading cardio metabolic and behavioural risk factors in Luxembourg, in order to provide an overall picture of CVD burden across the country. The analysis conducted was based on data from the nationwide ORISCAV-LUX survey, including 1432 subjects, aged 18-69 years. A self-reported questionnaire, physical examination and blood sampling were performed. Age and sex-adjusted risk profile maps were generated using multivariate Bayesian geo-additive regression models, based on Markov Chain Monte Carlo techniques and were used to evaluate the significance of the spatial effects on the distribution of a range of cardio metabolic risk factors, namely smoking, high body mass index (BMI), high blood pressure, high fasting plasma glucose, alcohol use, high total cholesterol, low glomerular filtration rate, and physical inactivity. Higher prevalence of smoking was observed in the northern regions, higher overweight/obesity and abdominal obesity clustered in the central belt, whereas hypertension was spotted particularly in the southern part of the country. Maps revealed that subjects residing in Luxembourg canton were significantly less likely to be hypertensive or overweight/obese, whereas they were less likely to practice physical activity of ≥8000 Metabolic Equivalent of Task (MET)-min/week. These patterns were also observed at the municipality level in Luxembourg. Statistically, there were non-significant spatial patterns regarding smoking, diabetes, total serum cholesterol and low glomerular filtration rate risk distribution. This comprehensive risk profile mapping showed remarkable geographic variations in cardio metabolic and behavioural risk factors. Considering the prominent burden of CVD this research provides opportunities for tailored interventions and may help to better fight against this escalating public health problem.

Indexed as

AdultAgedCardiovascular DiseasesExerciseFemaleGeographyHumansHypertensionLuxembourgMaleMiddle AgedObesityObesity, AbdominalOverweightPrevalenceRisk Factorscardio metabolicgeographic variationhypertensionLuxembourg

Identifiers

PMID28621751
PMCPMC5486334

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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.