Journal article

Approaches to Improve Causal Inference in Physical Activity Epidemiology

Brigid M Lynch, Suzanne C Dixon-Suen, Andrea Ramirez Varela, Yi Yang, Dallas R English, Ding Ding, Paul A Gardiner, Terry Boyle

Journal of Physical Activity and Health | HUMAN KINETICS PUBL INC | Published : 2020

Abstract

BACKGROUND: It is not always clear whether physical activity is causally related to health outcomes, or whether the associations are induced through confounding or other biases. Randomized controlled trials of physical activity are not feasible when outcomes of interest are rare or develop over many years. Thus, we need methods to improve causal inference in observational physical activity studies. METHODS: We outline a range of approaches that can improve causal inference in observational physical activity research, and also discuss the impact of measurement error on results and methods to minimize this. RESULTS: Key concepts and methods described include directed acyclic graphs, quantitati..

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Grants

Awarded by Victorian CancerAgency


Awarded by Australian Research Council (Dementia Research Development Fellowship)


Funding Acknowledgements

B.M.L. is supported by a Mid-Career Research Fellowship from the Victorian CancerAgency (MCRF 18005); Y.Y. is supported by a Melbourne Research Scholarship from the University of Melbourne; D.D. is supported by a Future Leader Fellowship from the National Heart Foundation of Australia; P.A.G. is supported by a National Health and Medical Research Council and Australian Research Council (Dementia Research Development Fellowship #110331).