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Dynamic path analysis in life-course epidemiology

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  1. Levels of and Changes in Childhood Body Mass Index in Relation to Risk of Atrial Fibrillation and Atrial Flutter in Adulthood

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  2. Infertility in a Cohort of Male Danish Firefighters: A Register-Based Study

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  3. ASSOCIATIONS OF OCCUPANT MOTOR VEHICLE CRASH WITH FUTURE HEART FAILURE AND ISCHEMIC STROKE IN OLDER ADULTS

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  4. Effect estimates in randomized trials and observational studies: comparing apples with apples

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  5. Mortality in women treated with assisted reproductive technology treatment - addressing the healthy patient effect

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  1. Possible Modifiers of the Association Between Change in Weight Status From Child Through Adult Ages and Later Risk of Type 2 Diabetes

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  2. Prognosis and Reclassification by YKL-40 in Stable Coronary Artery Disease

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  3. Sedentary work and risk of venous thromboembolism

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Life-course epidemiology seeks to better understand the mechanisms that lead to the development of chronic diseases. An example is the mechanism leading from body size to coronary heart disease (CHD); one way to acquire a better understanding of this mechanism is to investigate to what extent it works through other risk factors. In this paper, the dynamic path analysis model is presented as a tool to analyze these dynamic mechanisms in life-course epidemiology. A key feature of dynamic path analysis is its ability to decompose the total effect of a risk factor into a direct effect (not mediated by other variables) and indirect effects (mediated through other variables). This is illustrated by examining the associations between repeated measurements of body mass index (BMI) and systolic blood pressure (SBP) and the risk of CHD in a sample of Danish men between 1976 and 2006. The effect of baseline BMI on the risk of CHD is decomposed into a direct effect and indirect effects going through later BMI, concurrent SBP, or later SBP. In conclusion, dynamic path analysis is a flexible tool that by the decomposition of effects can be used to increase the understanding of mechanisms that underlie the etiology of chronic disease.
Original languageEnglish
JournalAmerican Journal of Epidemiology
Volume173
Issue number10
Pages (from-to)1131-9
Number of pages9
ISSN0002-9262
DOIs
Publication statusPublished - 2011

    Research areas

  • Adult, Age Factors, Aged, Aged, 80 and over, Blood Pressure, Body Mass Index, Chronic Disease, Coronary Disease, Denmark, Humans, Male, Middle Aged, Models, Statistical, Proportional Hazards Models, Risk Factors, Statistics as Topic, Young Adult

ID: 34679561