Related Experiment Video
Updated: May 29, 2025

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage
Published on: August 4, 2018
Moving beyond the prevalent exposure design for causal inference in dementia research
Lachlan Cribb1, Margarita Moreno-Betancur2, Zimu Wu1
1School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Abstract:
As randomised trials are not always feasible or practical, observational studies remain crucial for addressing many causal questions in the dementia prevention field. Through a systematic search, we found that 84 (72%) of the 116 latest observational cohort studies that investigated factors hypothesised to reduce the risk of dementia (hearing aids, physical activity, antihypertensives, antidiabetics, and antidepressants) used a prevalent exposure design. The approach of using a prevalent exposure design, which compares dementia risk between individuals with and without prevalent exposure at the start of follow-up, has several limitations, including ill-defined interventions, selection biases, and challenges in adjusting for confounders. This Personal View discusses these limitations using physical activity as a case study and describes an alternative approach based on the target trial framework that can help to overcome such limitations. This approach aligns observational analyses with the design and analysis principles of randomised trials and can, thereby, improve the robustness and relevance of evidence for dementia prevention, which is the ultimate goal.
More Related Videos
08:43Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
Published on: August 7, 2017
06:48Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
Related Concept Videos
Experimental Designs
What is an Experiment?
Strategies for Assessing and Addressing Confounding
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Crossover Experiments
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Causality in Epidemiology