Fuzzy-set qualitative analysis in public health: an illustrative application to social determinants of health in Dundee, Aberdeen and Glasgow.

Authors

Kieran Laskawy, Ian Greener

Published in

Journal of epidemiology and community health. Sep 18, 2026. Epub Sep 18, 2026.

Abstract

Public health outcomes are affected by multiple, intersecting social determinants, yet dominant regression-based approaches often struggle to analyse such causal complexity. This paper illustrates the value of fuzzy-set Qualitative Comparative Analysis (fsQCA) as a viable method for public health research by applying it to the social determinants of health in Aberdeen, Dundee and Glasgow, which we use as illustrative examples for teaching the utility of fsQCA. Using indicator-level Scottish Index of Multiple Deprivation data, we demonstrate how fsQCA identifies necessary conditions and multiple sufficient configurations linking combinations of income, employment, education and training, housing, crime and access-related deprivation to area-level health outcomes. The analysis shows that fsQCA can accommodate equifinality and causal asymmetry, revealing recurring constellations of disadvantage associated with poor health and distinct configurations linked to better health. Rather than estimating average net effects, fsQCA makes explicit the specific combinations of conditions most consistently associated with health outcomes. The study demonstrates how configurational methods can complement existing quantitative approaches and offers a practical template for incorporating fsQCA into applied public health and health policy research.

PMID:
42760109
Bibliographic data and abstract were imported from PubMed on 19 Sep 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.