Identifying Factors Related to Serum Lipids Using Multilevel Quantile Model: Analysis of Nationwide STEPs Survey 2016.

Mohseni, Parisa; Khalili, Davood; Djalalinia, Shirin; Farzadfar, Farshad; Mehrabi, Yadollah

Mohseni, Parisa; Khalili, Davood; Djalalinia, Shirin; Farzadfar, Farshad; Mehrabi, Yadollah.

Afiliação

Mohseni P; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
Khalili D; Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
Djalalinia S; Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
Farzadfar F; Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Islamic Republic of Iran.
Mehrabi Y; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.

Int J Prev Med ; 14: 69, 2023.

Article em En | MEDLINE | ID: mdl-37351060

Palavras-chave

Multilevel analysis; STEPs study; quantile mixed model; serum lipids

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Prev Med Ano de publicação: 2023 Tipo de documento: Article

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