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In the field of epidemiology, the causal mechanisms responsible for diseases can be understood using the causal pie model.This conceptual model was introduced by Ken Rothman to communicate how constellations of component causes can lead to a sufficient cause to lead to a condition of interest and that reflection on these sets could improve epidemiological study design.
The concept of component causes is part of the broader causal pie model proposed by epidemiologist Kenneth Rothman. [1] In this model, each disease is the result of multiple causal pies, each representing a combination of component causes. A single factor can be a component cause in multiple sufficient causes [2] for different diseases.
Kenneth J. Rothman (born November 2, 1945) [1] is an American epidemiologist. He is a professor of epidemiology at the Boston University School of Public Health , as well as a Distinguished Fellow at RTI International , where he is Vice President for Epidemiologic Research at RTI Health Solutions .
A diagram explaining factors affecting arterial pressure. Pathophysiology is a study which explains the function of the body as it relates to diseases and conditions. The pathophysiology of hypertension is an area which attempts to explain mechanistically the causes of hypertension, which is a chronic disease characterized by elevation of blood pressure.
Guidelines for treating resistant hypertension have been published in the UK [45] and US. [46] It has been proposed that a proportion of resistant hypertension may be the result of chronic high activity of the autonomic nervous system, known as "neurogenic hypertension". [47] Low adherence to treatment is an important cause of resistant ...
Researchers have applied Hill’s criteria for causality in examining the evidence in several areas of epidemiology, including connections between exposures to molds and infant pulmonary hemorrhage, [14] ultraviolet B radiation, vitamin D and cancer, [15] [16] vitamin D and pregnancy and neonatal outcomes, [17] alcohol and cardiovascular ...
Judea Pearl defines a causal model as an ordered triple ,, , where U is a set of exogenous variables whose values are determined by factors outside the model; V is a set of endogenous variables whose values are determined by factors within the model; and E is a set of structural equations that express the value of each endogenous variable as a function of the values of the other variables in U ...
The pathophysiology of hypertension is that of a chronic disease characterized by elevation of blood pressure. Hypertension can be classified by cause as either essential (also known as primary or idiopathic) or secondary. About 90–95% of hypertension is essential hypertension. [23] [24] [25] [26]