Study design and characteristics of the Luxembourg European Health Examination Survey (EHES-LUX) ...
Abstract Background The European Health Examination Survey in Luxembourg (EHES-LUX) is a population based survey performed from 2013 to 2015 with the aim to establish baseline information on the general health status of the Luxembourg population aged 25 to 64 years. The paper introduces the study design, recruitment method and representativeness of the sample, and summarizes the sociodemographic characteristics of participants and the prevalence of major health outcomes. Methods EHES-LUX is based on a random sample representative of the population of Luxembourg based on gender, age and distric... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2018 |
Verlag/Hrsg.: |
Figshare
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Schlagwörter: | Medicine / Biotechnology / 59999 Environmental Sciences not elsewhere classified / FOS: Earth and related environmental sciences / Sociology / FOS: Sociology / 69999 Biological Sciences not elsewhere classified / FOS: Biological sciences / Science Policy / 111714 Mental Health / FOS: Health sciences |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-29103937 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.4263794.v1 |
Abstract Background The European Health Examination Survey in Luxembourg (EHES-LUX) is a population based survey performed from 2013 to 2015 with the aim to establish baseline information on the general health status of the Luxembourg population aged 25 to 64 years. The paper introduces the study design, recruitment method and representativeness of the sample, and summarizes the sociodemographic characteristics of participants and the prevalence of major health outcomes. Methods EHES-LUX is based on a random sample representative of the population of Luxembourg based on gender, age and district of residence. The sample size of the study was determined to provide accurate prevalence estimates for major chronic conditions. During two visits, data were collected from participants through a questionnaire (personal data, health status and health care), medical examinations (anthropometric measures, electrocardiogram and spirometry) and biological analysis (blood, urine and hair). Means and frequencies were used ...