ArticleBMC public health2019
An evaluation of the impact of aggressive hypertension, diabetes and smoking cessation management on CVD outcomes at the population level: a dynamic simulation analysis.
Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Hypertension in Adults With Diabetes in Southeast Asia: A Systematic Review.Journal of clinical hypertension (Greenwich, Conn.) · 2025Pooled it
- Applications of System Dynamics Models in Chronic Disease Prevention: A Systematic Review.Preventing chronic disease · 2021Pooled it
- Hypertension management in São Paulo: insights from a computational simulation approach.Lancet regional health. Americas · 2026Article
- A conceptual system dynamics model of social determinants of health (SDoH) and its impact on population health.Journal of public health research · 2025Article
- A machine learning approach to predict hypertension using cross-sectional & two years follow up data from a health & demographic cohort of Assam, North East India.The Indian journal of medical research · 2025Article
- Mapping the Dynamic Complexity of Hypertension Management in São Paulo, Brazil.International journal of public health · 2025Article
- Cardiovascular Diseases and Metabolic Medications in the Lebanese Population: A Post Hoc Analysis from a Nationwide Cross-Sectional Study.Pharmacy (Basel, Switzerland) · 2024Article
- Environmental chemical exposures and a machine learning-based model for predicting hypertension in NHANES 2003-2016.BMC cardiovascular disorders · 2024Article
- Comparative analysis of atherosclerotic cardiovascular disease burden between ages 20-54 and over 55 years: insights from the Global Burden of Disease Study 2019.BMC medicine · 2024Article
- Preferences and willingness-to-pay for a blood pressure telemonitoring program using a discrete choice experiment.NPJ digital medicine · 2023Article
- Projecting the burden of dental caries and periodontal diseases among the adult population in the United Kingdom using a multi-state population model.Frontiers in public health · 2023Article
- Smoking causes the disorder of glucose metabolism under different levels of blood pressure in male occupational population.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
- System Dynamic Model Simulates the Growth Trend of Diabetes Mellitus in Chinese Population: Implications for Future Urban Public Health Governance.International journal of public health · 2022Article
- Projecting the chronic disease burden among the adult population in the United States using a multi-state population model.Frontiers in public health · 2022Article
- The Impact of Sedentary Behavior and Self-Rated Health on Cardiovascular Disease and Cancer among South Korean Elderly Persons Using the Korea National Health and Nutrition Examination Survey (KNHANES) 2014-2018 Data.International journal of environmental research and public health · 2021Article
- Predicting the Risk of Hypertension Based on Several Easy-to-Collect Risk Factors: A Machine Learning Method.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEvidence from randomized control trials suggest that coupled with smoking cessation interventions, CVD events can be reduced significantly if hypertension and diabetes patients are properly managed, raising practical what-if questions at the population level. This research aims to develop a dynamic simulation model using the systems modelling methodology of system dynamics, to evaluate the medium to long-term impact of hypertension and diabetes management, as well as smoking cessation intervention on CVD events, CVD deaths and post-CVD population.
methodsThe systems modelling methodology of system dynamics was used to develop a simulation model to evaluate the impact of aggressive hypertension, diabetes and smoking cessation management on CVD outcomes at the population level.
resultThe insights from this research suggest that despite that at the individual level, hypertension management is associated with the highest risk reduction for CVD (50%) compared to diabetes and smoking (20%) and is also the most prevalent risk factor, at the population level, diabetes management interventions are projected to have higher impact on reducing CVD events compared to hypertension management or smoking cessation interventions. However, a combined intervention of diabetes and hypertension management, as well as smoking cessation has the most impact on CVD outcomes.
conclusionDue to aging population and the increasing prevalence of chronic conditions in Singapore, the number of CVD events in Singapore is projected to rise significantly in the near future-hence the need for proactive planning to implement needed interventions. Findings from this research suggest that CVD events and its associated deaths and disabilities could be reduced significantly if diabetes and hypertension patients are aggressively managed.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.