ArticleDiabetology & metabolic syndrome2018
Dynamic development of metabolic syndrome and its risk prediction in Chinese population: a longitudinal study using Markov model.
Article in Diabetology & metabolic syndrome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries.BMC endocrine disorders · 2021Pooled it
- Association between various insulin resistance surrogates and gallstone disease based on national health and nutrition examination survey.Scientific reports · 2025Article
- The role of changes in metabolic syndrome status on health-related quality of life in Bogor City, West Java, Indonesia: A cross-sectional study.Belitung nursing journal · 2025Article
- Obesity and Dyslipidemia in Chinese Adults: A Cross-Sectional Study in Shanghai, China.Nutrients · 2022Article
- Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022Article
- Predicting the natural history of metabolic syndrome with a Markov-system dynamic model: a novel approach.BMC medical research methodology · 2021Article
- The dynamics of metabolic syndrome development from its isolated components among Iranian adults: findings from 17 years of the Tehran lipid and glucose study (TLGS).Journal of diabetes and metabolic disorders · 2021Article
- Dynamics of detailed components of metabolic syndrome associated with the risk of cardiovascular disease and death.Scientific reports · 2021Article
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9 authors.
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Abstract
backgroundWith the increasing prevalence of metabolic syndrome (MS), there is a need to track and predict the development of MS. In this study, we established a Markov model to explore the natural history and predict the risk of MS.
methodsA total of 21,777 Chinese individuals who had at least two consecutive health check-ups between 2010 and 2015 were studied. MS was defined using the Chinese Diabetes Society criteria. Twelve metabolic abnormal states (the no component state, four isolated component states, six 2-component states, and the MS state) were contained in each Markov chain. The transition probability was the mean of five probabilities for the transition between any two states in 2 consecutive years.
resultsThe dyslipidemia or overweight/obesity components were most likely to initiate the progress of MS in individuals aged 18-49. However, for individuals over 50 years old, the most likely initiating component of MS was dyslipidemia or hypertension. People who initially had dyslipidemia were most likely to develop the combined state of dyslipidemia with overweight/obesity before the age of 50, but after 50 years of age, the state of dyslipidemia merged with hypertension was the most common. Subjects (with the exception of males over 50 years of age who initially had an isolated state of hyperglycemia) who initially had an isolated state of overweight/obesity, hypertension, or hyperglycemia were most likely to develop a combination of one of these initial states with dyslipidemia. Males who initially had isolated hyperglycemia tended to develop hypertension after age 50. There was a greater chance for subjects who initially had an isolated hyperglycemia state or 2-component state that contained hyperglycemia to develop MS within 10 years compared to those who initially had other abnormal metabolic states.
conclusionsThe occurrence of MS primarily began with overweight/obesity or dyslipidemia in people aged 18-49. However, for those over 50 years old, MS primarily initiated under the conditions of dyslipidemia or hypertension. When MS started under the conditions of overweight/obesity, hypertension or hyperglycemia, dyslipidemia tended to occur next. People who initially had isolated hyperglycemia or a 2-component state that contained hyperglycemia had a higher risk of developing MS than those with other initiating states.
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