Exploring the association between metabolic syndrome, its components and subsequent cancer incidence: A cohort study in Catalonia

Author:

López‐Jiménez Tomàs123ORCID,Plana‐Ripoll Oleguer45,Duarte‐Salles Talita126ORCID,Recalde Martina127,Bennett Matthew12,Xavier‐Cos Francesc189,Puente Diana12

Affiliation:

1. Fundació Institut Universitari Per a La Recerca a L'Atenció Primària de Salut Jordi Gol I Gurina (IDIAPJGol) Barcelona Spain

2. Universitat Autònoma de Barcelona, Bellaterra (Cerdanyola de Vallès) Barcelona Spain

3. Programa de Doctorat en Metodologia de la Recerca Biomèdica i Salut Pública Universitat Autònoma de Barcelona Bellaterra (Cerdanyola del Vallès) Spain

4. Department of Clinical Medicine Aarhus University Aarhus Denmark

5. Department of Clinical Epidemiology Aarhus University and Aarhus University Hospital Aarhus Denmark

6. International Agency for Research on Cancer (IARC‐WHO) Lyon Cedex France

7. Department of Medical Informatics Erasmus University Medical Center Rotterdam The Netherlands

8. DAP‐Cat Group, Unitat de Suport a la Recerca Barcelona Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol) Barcelona Spain

9. Innovation Office at Institut Català de la Salut Barcelona Spain

Abstract

AbstractBackgroundMetabolic syndrome (MS) has emerged as a significant global health concern. The relationship between MS and the risk of cancer doesn‘t seem clear, whether examining by components or in combination. The objective of this study is to examine the relationship between MS, its components, and the overall risk of cancer, including the risk of 13 specific cancer types.MethodsWe included 3,918,781 individuals aged 40 years or older sourced from the SIDIAP database between 2008 and 2017. Cox models were employed with MS components and their combinations. A subsample was created using a matched cohort (by age and sex). Incidence curves were computed to determine the time elapsed between the date of having 1–5 MS components and cancer incidence, compared to matched participants with no MS components, which showed that individuals who had one MS component experienced a greater incidence of cancer over 5 and 10 years than individuals with no MS, and the incidence rose with an increase in the number of MS components.ResultsIndividuals exposed to MS components were diagnosed with cancer earlier than those who were not exposed to them. In the Cox model, HDL (HR 1.46, 95% CI: 1.41–1.52) and Glycemia (HR 1.40, 95% CI: 1.37–1.44) were the individual combinations with the highest risk of overall cancer. In combinations with two components, the highest HR was HDL+Glycemia (HR 1.52, 95% CI: 1.45–1.59) and Glycemia+HBP (HR 1.48, 95% CI: 1.45–1.50). In combinations with three components, the highest HR was HDL+Glycemia+HBP (HR 1.58, 95% CI: 1.55–1.62).ConclusionIn summary, having one or more MS components raises the risk of developing at least 11 cancer types and these risk differ according to type of component included. Some sex differences are also observed. Our findings suggest that implementing prevention measures aimed at specific MS components may lower the risk of various cancer types.

Funder

Instituto de Salud Carlos III

Wereld Kanker Onderzoek Fonds

Publisher

Wiley

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