{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kunzova S"],"funding":["Swiss National Science Foundation"],"pagination":["108"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7156604"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8"],"pubmed_abstract":["Comparisons among countries can help to identify opportunities for the reduction of inequalities in cardiometabolic health. The present cross-sectional analysis and meta-analysis aim to address to what extent obesity traits, socioeconomic, and behavioral factors determine poor metabolic health across body mass index (BMI) categories in two urban population-based samples from Central Europe. Data from the CoLaus (~6,000 participants; Lausanne, Switzerland) and the Kardiovize Brno 2030 (~2,000 participants; Brno, Czech Republic) cohorts. For each cohort, logistic regression analyses were performed to identify the main determinants of poor metabolic health overall and stratified by body mass index (BMI) categories. The results of each cohort were then combined in a meta-analysis. We first obs"],"journal":["Frontiers in public health"],"pubmed_title":["Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations."],"pmcid":["PMC7156604"],"funding_grant_id":["122661"],"pubmed_authors":["Kunzova S","Medina-Inojosa J","Lopez-Jimenez F","Vinciguerra M","Maugeri A","Marques-Vidal P"],"additional_accession":[]},"is_claimable":false,"name":"Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations.","description":"Comparisons among countries can help to identify opportunities for the reduction of inequalities in cardiometabolic health. The present cross-sectional analysis and meta-analysis aim to address to what extent obesity traits, socioeconomic, and behavioral factors determine poor metabolic health across body mass index (BMI) categories in two urban population-based samples from Central Europe. Data from the CoLaus (~6,000 participants; Lausanne, Switzerland) and the Kardiovize Brno 2030 (~2,000 participants; Brno, Czech Republic) cohorts. For each cohort, logistic regression analyses were performed to identify the main determinants of poor metabolic health overall and stratified by body mass index (BMI) categories. The results of each cohort were then combined in a meta-analysis. We first obs","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020","modification":"2025-05-29T19:03:00.515Z","creation":"2025-05-29T19:03:00.515Z"},"accession":"S-EPMC7156604","cross_references":{"pubmed":["32322570"],"doi":["10.3389/fpubh.2020.00108"]}}