ArticleBMC public health2014
Description and prediction of the development of metabolic syndrome in Dongying City: a longitudinal analysis using the Markov model.
Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Dynamic behavior of metabolic syndrome progression: a comprehensive systematic review on recent discoveries.BMC endocrine disorders · 2021Pooled it
- The impact of metabolic syndrome severity on racial and ethnic disparities in Metabolic Dysfunction-Associated Steatotic Liver Disease.PloS one · 2024Article
- Metabolic Syndrome Severity Predicts Mortality in Nonalcoholic Fatty Liver Disease.Gastro hep advances · 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
- Association of Variability in Body Mass Index and Metabolic Health With Cardiometabolic Disease Risk.Journal of the American Heart Association · 2019Article
- Prediction of the development of metabolic syndrome by the Markov model based on a longitudinal study in Dalian City.BMC public health · 2018Article
- Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria.PloS one · 2018Article
- Dynamic development of metabolic syndrome and its risk prediction in Chinese population: a longitudinal study using Markov model.Diabetology & metabolic syndrome · 2018Article
- The dynamic behaviour of metabolic syndrome and its components in an eight-year population-based cohort from the Mediterranean.PloS one · 2017Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic Syndrome (MS) is increasingly becoming a major worldwide clinical and public health issue. Thus it is extremely important to study the history of MS and search for the most likely component contributing to start the cascade of confusions of MS.
methodsA longitudinal cohort was involved which included the data of 7510 individuals who had at least two routine health check-ups in a six-year follow-up. Based on the data, a Markov model with each chain containing seven states (no component state, four isolated states, 2-component state, and MS state) was built. Annual transition probability was the mean of five probabilities for the transition between the given states between each pair of consecutive years.
resultsThe transition probabilities from the no component state to MS were higher in men than that in women in four age groups. In the young people (men <60 years and women <50 years), the probabilities to the overweight or obesity state and dyslipidemia state were the first two biggest probabilities in transition from no component to the rest six states. However, in the elderly population, the probabilities to hypertension state and 2-component state increased, even surpassed the above two states. The individuals initiating with 2-component states and the isolated hyperglycemia state were more likely to develop MS than the others.
conclusionsThe Markov model was able to give a better description of the evolutionary history of MS, and to predict the future course based on past evidence. The occurrence of the MS process mostly began with overweight or obesity and dyslipidemia in young people. In the elderly population, many individuals initiating with hypertension or 2 components besides the above two states. Individuals with the isolated hyperglycemia had greater chances to develop MS than other isolated MS' components.
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