Identifying the pattern of unhealthy dietary habits among an Iranian population: A latent class analysis
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 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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چکیده رساله/پایان نامه: این تحقیق جهت بررسی تاثیر نارسا خوانی در یادگیری زبان انگلیسی به عنوان زبان خارجه در میان دانش اموزان ایرانی مقطع دوم راهنمایی طراحی شده است. ده نفر از دانش اموزان ایرانی مقطع دوم راهنمایی و ده نفر از دانش اموزان غیر نارسا خوان همان مقطع برای انجام این تحقیق انتخاب شدند. تمام شرکت کنندگان توسط ازمون زبان انگلیسی ای که برای این هدف ساخته شده و متشکل از بخشهای خواندن ام...
15 صفحه اولAn 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...
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ژورنال
عنوان ژورنال: Medical Journal of The Islamic Republic of Iran
سال: 2018
ISSN: 1016-1430,2251-6840
DOI: 10.14196/mjiri.32.69