Open AccessTransition Patterns of Weight Status and Their Predictive Lipid Markers Among Chinese Adults: A Longitudinal Cohort Study Using the Multistate Markov Model
Author(s) -
Xiao Tang,
Zhang Hong-ya,
Yanxiang Zhao,
Fang Lei,
Qigui Liu,
Dongmei Hu,
Guorong Li,
Guanghui Song
Publication year - 2021
Publication title -
diabetes, metabolic syndrome and obesity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.853
H-Index - 43
ISSN - 1178-7007
DOI - 10.2147/dmso.s308913
Subject(s) - obesity , overweight , demography , medicine , gerontology , longitudinal study , young adult , body mass index , cohort , middle age , pathology , sociology
Obesity is well recognized as a risk factor for cardiometabolic diseases. The development of obesity is a dynamic process that can be described as a multistate process with an emphasis on transitions between weight states. However, it is still unclear what convenient biomarkers predict transitions between weight states. The aim of this study was to show the dynamic nature of weight status in adults stratified by age and sex and to explore blood markers of metabolic syndrome (MetS) that predict transitions between weight states.