Latent class analysis of the metabolic syndrome
نویسندگان
چکیده
منابع مشابه
Clustering and combining pattern of metabolic syndrome components among Iranian population with latent class analysis
Background: Metabolic syndrome (MetS), a combination of coronary heart disease and diabetes mellitus risk factor, refer to one of the most challenging public health issues in worldwide. The aim of this study was to identify the subgroups of participants in a study on the basis of MetS components. Methods: The cross-sectional study took place in the districts related to Teh...
متن کاملclustering and combining pattern of metabolic syndrome components among iranian population with latent class analysis
background: metabolic syndrome (mets), a combination of coronary heart disease and diabetes mellitus risk factor, refer to one of the most challenging public health issues in worldwide. the aim of this study was to identify the subgroups of participants in a study on the basis of mets components. methods: the cross-sectional study took place in the districts related to tehran university of me...
متن کاملAn application of Measurement error evaluation using latent class analysis
Latent class analysis (LCA) is a method of evaluating non sampling errors, especially measurement error in categorical data. Biemer (2011) introduced four latent class modeling approaches: probability model parameterization, log linear model, modified path model, and graphical model using path diagrams. These models are interchangeable. Latent class probability models express l...
متن کاملLatent Class Analysis of the cardiometabolic risk factors in children and adolescents: the CASPIAN-V study
Background: Cardio-metabolic syndrome indicates the clustering of several risk factors. The aims of this study were to identify the subgroups of the Iranian children and adolescents on the basis of the components of the cardio-metabolic syndrome and assess the role of demographic characteristics, socioeconomic status and life style related behaviors on the membership of participants in each lat...
متن کاملClustering and combining pattern of metabolic syndrome components among Iranian population with latent class analysis
Background: Metabolic syndrome (MetS), a combination of coronary heart disease and diabetes mellitus risk factor, refer to one of the most challenging public health issues in worldwide. The aim of this study was to identify the subgroups of participants in a study on the basis of MetS components. Methods: The cross-sectional study took place in the districts related to Tehran University of Medi...
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ژورنال
عنوان ژورنال: Diabetes Research and Clinical Practice
سال: 2010
ISSN: 0168-8227
DOI: 10.1016/j.diabres.2010.02.013