ArticleBMJ open2022
Multistate Markov model application for blood pressure transition among the Chinese elderly population: a quantitative longitudinal study.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 12 citations in OpenAlex.
- Modeling multistage transition probability in blood pressure progression stages among hypertensive patients, southern Ethiopia: A retrospective cohort study.Journal of public health research · 2026Article
- Experience of financial hardship and depression: a longitudinal population-based multi-state analysis.Epidemiology and psychiatric sciences · 2025Article
- Multistate Markov chain modeling for child undernutrition transitions in Ethiopia: a longitudinal data analysis, 2002-2016.BMC medical research methodology · 2024Article
- Investigation of multiple nosocomial infections using a semi-Markov multi-state model.Antimicrobial resistance and infection control · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
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Abstract
objectiveTo explore the transitions of different blood pressure states based on a multistate Markov model among the Chinese elderly population.
settingA community health centre in Xiamen, China.
participants1833 elderly Chinese people.
methodsA multistate Markov model was built based on 5001 blood pressure measurements from 2015 to 2020. Research was conducted to explore the process of hypertension progression, providing information on the transition probability, HR and the mean sojourn time in three blood pressure states, namely normal state, elevated state and hypertensive state.
resultsProbabilities of moving from the normal state to the hypertensive state in the first year were 16.97% (female) and 21.73% (male); they increased dramatically to 47.31% (female) and 51.70% (male) within a 3-year follow-up period. The sojourn time in the normal state was 1.5±0.08 years. Elderly women in the normal state had a 16.97%, 33.30% and 47.31% chance of progressing to hypertension within 1, 2 and 3 years, respectively. The corresponding probabilities for elderly men were 21.73%, 38.56% and 51.70%, respectively. For elderly women starting in the elevated state, the probabilities of developing hypertension were 25.07%, 43.03% and 56.32% in the next 1, 2 and 3 years, respectively; while the corresponding changes for elderly men were 20.96%, 37.65% and 50.86%. Increasing age, body mass index (BMI) and glucose were associated with the probability of developing hypertension from the normal state or elevated state.
conclusionsPreventive actions against progression to hypertension should be conducted at an early stage. More awareness should be paid to elderly women with elevated state and elderly men with normal state. Increasing age, BMI and glucose were critical risk factors for developing hypertension. The derived transition probabilities and sojourn time can serve as a significant reference for making targeted interventions for hypertension progression among the Chinese elderly population.
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