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Geographic Variations in Cardiometabolic Risk Factors in Luxembourg

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  • Ala’a Alkerwi

    (Luxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg)

  • Illiasse El Bahi

    (Luxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg)

  • Saverio Stranges

    (Luxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg
    Department of Epidemiology & Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 5C1, Canada)

  • Jean Beissel

    (Centre Hospitalier du Luxembourg, Grand-Duchy of Luxembourg, 1210 Luxembourg City, Luxembourg)

  • Charles Delagardelle

    (Centre Hospitalier du Luxembourg, Grand-Duchy of Luxembourg, 1210 Luxembourg City, Luxembourg)

  • Stephanie Noppe

    (Centre Hospitalier du Luxembourg, Grand-Duchy of Luxembourg, 1210 Luxembourg City, Luxembourg)

  • Ngianga-Bakwin Kandala

    (Luxembourg Institute of Health (LIH), Department of Population Health, Epidemiology and Public Health Research Unit EPHRU, Strassen, L-1445 Strassen Luxembourg City, Luxembourg
    Department of Mathematics, Physics and Electrical Engineering, Faculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne NE1 8ST, UK
    Faculty of Health and Sport Sciences, University of Agder, Postboks 422, 4604 Kristiansand, Norway)

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.

Suggested Citation

  • Ala’a Alkerwi & Illiasse El Bahi & Saverio Stranges & Jean Beissel & Charles Delagardelle & Stephanie Noppe & Ngianga-Bakwin Kandala, 2017. "Geographic Variations in Cardiometabolic Risk Factors in Luxembourg," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:6:p:648-:d:101727
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    References listed on IDEAS

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    1. Ngianga-Bakwin Kandala & Saverio Stranges, 2014. "Geographic Variation of Overweight and Obesity among Women in Nigeria: A Case for Nutritional Transition in Sub-Saharan Africa," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
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    Cited by:

    1. Darren J. Mayne & Geoffrey G. Morgan & Bin B. Jalaludin & Adrian E. Bauman, 2019. "Area-Level Walkability and the Geographic Distribution of High Body Mass in Sydney, Australia: A Spatial Analysis Using the 45 and Up Study," IJERPH, MDPI, vol. 16(4), pages 1-29, February.
    2. Renin Toms & Xiaoqi Feng & Darren J Mayne & Andrew Bonney, 2020. "Role of Area-Level Access to Primary Care on the Geographic Variation of Cardiometabolic Risk Factor Distribution: A Multilevel Analysis of the Adult Residents in the Illawarra—Shoalhaven Region of NS," IJERPH, MDPI, vol. 17(12), pages 1-21, June.

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