ArticleInternational journal of epidemiology2025
Additive interactions of smoking with obesity on ischemic heart disease mortality: a national prospective cohort study in the United States.
Article in International journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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5 authors.
Funding
Abstract
backgroundSmoking and obesity are important modifiable risk factors for ischemic heart disease (IHD), often clustering within the same individuals. Previous US studies showed mixed findings regarding their interaction effects on IHD mortality and only investigated the question on the multiplicative scale, while additive scale is better suited to inform public health interventions.
methodsWe linked the 1997-2018 National Health Interview Survey data to the 2019 National Death Index. A total of 579 503 adults aged 18 years and older were included. Mortality status or last presumed alive was assessed until 31 December 2019. We used Aalen's additive hazards models and calculated the relative excess risk due to interaction (RERI) from Cox proportional hazards models and Fine-Gray subdistribution models that accounted for competing risks to comprehensively evaluate the interaction effect of smoking with obesity on IHD mortality.
resultsDuring 10.4 years of follow-up on average, 13 231 IHD deaths occurred. The weighted mortality rate was 177.0 (95% CI: 172.3-181.7) per 100 000 person-years (PY). The combination of current everyday smoking and obesity was associated with 55.56 (95% CI: 30.37-80.74) additional deaths per 100 000 PY compared to the sum of their individual effects. This additive interaction was supported by multiplicative interactions (HR = 1.19, 1.03-1.39; HR = 1.40, 1.22-1.59) and large RERIs of 1.00 (0.59-1.40) and 0.85 (0.6-1.09) from the Cox and Fine-Gray models, respectively.
conclusionsOur findings highlight the importance of evaluating interactions on multiple scales, which reduces scale-dependence of the interaction effect and can translate better into public health strategies.
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