ACUTE MYOCARDIAL INFARCTION AS A METABOLIC DISEASE: RISK MARKERS TO DIABETES MELLITUS IN THE FIRST EPISODE

2008 ◽  
Vol 9 (1) ◽  
pp. 76
Author(s):  
M. Moreira ◽  
D. Lima ◽  
F. Proietti
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Metabolic Disease ◽  
Acute Myocardial Infarction ◽  
Disease Risk ◽  
First Episode ◽  
Risk Markers ◽  
Metabolic Disease Risk

scholarly journals Association between the urban environment and chronic disease to identify communities at risk

2019 ◽  
Author(s):  
Ken Wei Tan ◽  
Qianyu Yang ◽  
Yin Ai Lean ◽  
Joel Ruihan Koo ◽  
Alex R Cook ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Type 2 Diabetes ◽  
Acute Myocardial Infarction ◽  
Body Mass Index ◽  
Chronic Disease ◽  
Body Mass ◽  
Disease Risk ◽  
Chronic Disease Risk

Abstract Background: With increasing urbanisation rates, assessments must be made on the impact of the built environment on the health of populations. As the bulk of healthcare expenditure in developed countries is borne by the elderly through chronic disease management and treatment costs, intervening using the built environment can have lasting population-wide effects. Methods: Using two cohort studies for training and validation, we quantified each individual’s local context based on their residential address and derived geographical exposures adapted from the International Physical Activity and the Environment Network guidelines. Bayesian inference was used to develop a regression model that examines the impacts of the geographical exposures and predicts mean body mass index and prevalence of type 2 diabetes mellitus, acute myocardial infarction and stroke by communities. Results: The distance to the nearest retail outlet was found to be negatively associated with body mass index. Our prediction model shows good accuracy (AUC > 0.75) for predicting type 2 diabetes mellitus, acute myocardial infarction and stroke. National-level maps were generated that predict the health of communities by mean body mass index and overall chronic disease risk. Conclusions: The predictive model has the ability to predict on a macro scale the overall health of a community. Understanding the geospatial distribution of chronic disease risk allows for evidence-based policymaking with urban–specific interventions that improve overall population health.

scholarly journals Importance of Geospatial Heterogeneity in Chronic Disease Burden for Policy Planning in an Urban Setting Using a Case Study of Singapore

2021 ◽  
Vol 18 (9) ◽  
pp. 4406
Author(s):  
Ken Wei Tan ◽  
Joel R. Koo ◽  
Jue Tao Lim ◽  
Alex R. Cook ◽  
Borame L. Dickens
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Chronic Disease ◽  
Type Ii Diabetes ◽  
Census Data ◽  
Type Ii Diabetes Mellitus ◽  
Urban Setting ◽  
Type Ii

Chronic disease burdens continue to rise in highly dense urban environments where clustering of type II diabetes mellitus, acute myocardial infarction, stroke, or any combination of these three conditions is occurring. Many individuals suffering from these conditions will require longer-term care and access to clinics which specialize in managing their illness. With Singapore as a case study, we utilized census data in an agent-modeling approach at an individual level to estimate prevalence in 2020 and found high-risk clusters with >14,000 type II diabetes mellitus cases and 2000–2500 estimated stroke cases. For comorbidities, 10% of those with type II diabetes mellitus had a past acute myocardial infarction episode, while 6% had a past stroke. The western region of Singapore had the highest number of high-risk individuals at 173,000 with at least one chronic condition, followed by the east at 169,000 and the north with the least at 137,000. Such estimates can assist in healthcare resource planning, which requires these spatial distributions for evidence-based policymaking and to investigate why such heterogeneities exist. The methodologies presented can be utilized within any urban setting where census data exists.

Relation of Chronic and Acute Glycemic Control on Mortality in Acute Myocardial Infarction With Diabetes Mellitus

2005 ◽  
Vol 96 (2) ◽  
pp. 183-186 ◽  
Author(s):  
Jie J. Cao ◽  
Michael Hudson ◽  
Michelle Jankowski ◽  
Fred Whitehouse ◽  
W. Douglas Weaver
Keyword(s):  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Glycemic Control

scholarly journals A comparative study of time-specific oxidative stress after acute myocardial infarction in patients with and without diabetes mellitus

2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Daisuke Kitano ◽  
Tadateru Takayama ◽  
Koichi Nagashima ◽  
Masafumi Akabane ◽  
Kimie Okubo ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Diabetes Mellitus ◽  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Comparative Study ◽  
Time Specific
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