ArticleBiostatistics & epidemiology2020
Moving from two- to multi-way interactions among binary risk factors on the additive scale.
Article in Biostatistics & epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Interaction between clinical and genetic risk of atrial fibrillation in the danish diet, cancer and health cohort.Open heart · 2026Article
- Cannabinoid GPCRs, ectopic olfactory GPCRs and TRP channels: a prespecified baseline-edit-rescue framework for testing higher-order membrane-conditioned integration.Biology methods & protocols · 2026Article
- Parenting under the triple burden of violence, depression, and poor diet quality: An intergenerational mother-child syndemic in Nepal.PLOS global public health · 2026Article
- Cardiovascular risk factors in immigrants: an intersectional real world data approach to understand health inequalities.BMC public health · 2025Observational
- Triple Jeopardy in Oral Health: Additive Effects of Immigrant Status, Education, and Neighborhood.JDR clinical and translational research · 2025Article
- Individual and combined associations of sarcopenia, osteoporosis and obesity with frailty in a multi-ethnic asian older adult population.BMC geriatrics · 2023Article
- Synergistic Interaction between Job Stressors and Psychological Distress during the COVID-19 Pandemic: A Cross-Sectional Study.International journal of environmental research and public health · 2022Article
- Super-additive associations between parity and education level on mortality from cardiovascular disease and other causes: the Japan Collaborative Cohort Study.BMC women's health · 2022Article
- Arteriosclerosis, Atherosclerosis, and Cardiovascular Health: Joint Relations to the Incidence of Cardiovascular Disease.Hypertension (Dallas, Tex. : 1979) · 2021Article
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Authors and funding
3 authors.
Funding
Abstract
Many studies have focused on investigating deviations from additive interaction of two dichotomous risk factors on a binary outcome. There is, however, a gap in the literature with respect to interactions on the additive scale of >2 risk factors. In this paper, we present an approach for examining deviations from additive interaction among three or more binary exposures. The relative excess risk due to interaction (RERI) is used as measure of additive interaction. First, we concentrate on three risk factors - we propose to decompose the total RERI to: the RERI owned to the joint presence of all three risk factors and the RERI of any two risk factors, given that the third is absent. We then extend this approach, to >3 binary risk factors. For illustration, we use a sample from data from the Greek EPIC cohort and we investigate the association with overall mortality of Mediterranean diet, body mass index , and smoking. Our formulae enable better interpretability of any evidence for deviations from additivity owned to more than two risk factors and provide simple ways of communicating such results from a public health perspective by attributing any excess relative risk to specific combinations of these factors.
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