Causal and Associational Language in Observational Health Research: A Systematic Evaluation
File version
Accepted Manuscript (AM)
Author(s)
Wieten, Sarah E
Rohrer, Julia M
Arah, Onyebuchi A
Tennant, Peter WG
Stuart, Elizabeth A
Murray, Eleanor J
Pilleron, Sophie
Lam, Sze Tung
Riederer, Emily
Howcutt, Sarah Jane
Simmons, Alison E
Leyrat, Clémence
Schoenegger, Philipp
Takashima, Mari
et al.
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
License
Abstract
We estimated the degree to which language used in the high profile medical/public health/epidemiology literature implied causality using language linking exposures to outcomes and action recommendations; examined disconnects between language and recommendations; identified the most common linking phrases; and estimated how strongly linking phrases imply causality. We searched and screened for 1,170 articles from 18 high-profile journals (65 per journal) published from 2010-2019. Based on written framing and systematic guidance, three reviewers rated the degree of causality implied in abstracts and full text for exposure/outcome linking language and action recommendations. Reviewers rated the causal implication of exposure/outcome linking language as None (no causal implication) in 13.8%, Weak 34.2%, Moderate 33.2%, and Strong 18.7% of abstracts. The implied causality of action recommendations was higher than the implied causality of linking sentences for 44.5% or commensurate for 40.3% of articles. The most common linking word in abstracts was "associate" (45.7%). Reviewers' ratings of linking word roots were highly heterogeneous; over half of reviewers rated "association" as having at least some causal implication. This research undercuts the assumption that avoiding "causal" words leads to clarity of interpretation in medical research.
Journal Title
American Journal of Epidemiology
Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© 2022 Oxford University Press. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in American Journal of Epidemiology following peer review. The definitive publisher-authenticated version Causal and Associational Language in Observational Health Research: A Systematic Evaluation, American Journal of Epidemiology, 2022 is available online at: https://doi.org/10.1093/aje/kwac137.
Item Access Status
Note
This publication has been entered in Griffith Research Online as an advanced online version.
Access the data
Related item(s)
Subject
Mathematical sciences
association
causal inference
causal language
observational study
Persistent link to this record
Citation
Haber, NA; Wieten, SE; Rohrer, JM; Arah, OA; Tennant, PWG; Stuart, EA; Murray, EJ; Pilleron, S; Lam, ST; Riederer, E; Howcutt, SJ; Simmons, AE; Leyrat, C; Schoenegger, P; Booman, A et al., Causal and Associational Language in Observational Health Research: A Systematic Evaluation., American Journal of Epidemiology, 2022, pp. kwac137