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Causal and associational language in observational health research: a systematic evaluation

Causal and associational language in observational health research: a systematic evaluation

Haber, Noah, Wieten, Sarah, Rohrer, Julia, Arah, Onyebuchi, Tennant, Peter, Stuart, Elizabeth, Murray, Eleanor, Pilleron, Sophie, Lam, Sze, Riederer, Emily, Howcutt, Sarah, Simmons, Alison, Leyrat, Clémence, Schoenegger, Philipp, Booman, Anna, Dufour, Mi-Suk, O'Donoghue, Ashley, Baglini, Rebekah, Do, Stephanie, Takashima, Mari, Evans, Thomas ORCID: 0000-0002-6670-0718, Rodriguez-Molina, Daloha, Alsalti, Taym, Dunleavy, Daniel, Meyerowitz-Katz, Gideon, Antonietti, Alberto, Calvache, Jose, Kelson, Mark, Salvia, Meg, Parra, Camila, Khalatbari-Soltani, Saman, McLinden, Taylor, Chatton, Arthur, Seiler, Jessie, Steriu, Andreea, Alshihayb, Talal, Twardowski, Sarah, Dabravolskaj, Julia, Au, Eric, Hoopsick, Rachel, Suresh, Shashank, Judd, Nicholas, Peña, Sebastián, Axfors, Cathrine, Khan, Palwasha, Aguirre, Ariadne, Odu, Nnaemeka, Schmid, Ian and Fox, Matthew (2022) Causal and associational language in observational health research: a systematic evaluation. American Journal of Epidemiology, 191 (12):kwac137. pp. 2084-2097. ISSN 0002-9262 (Print), 1476-6256 (Online) (doi:https://doi.org/10.1093/aje/kwac137)

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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%). Reviewer’s 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.

Item Type: Article
Additional Information: An earlier version of the paper was published in Oct 2022 as a preprint here: https://www.medrxiv.org/content/10.1101/2021.08.25.21262631v4 - MP Feb 17 2022.
Uncontrolled Keywords: causal language; association; causal inference; observational study
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Faculty / School / Research Centre / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development
Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM)
Last Modified: 04 Aug 2023 01:38
URI: http://gala.gre.ac.uk/id/eprint/35202

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