Gender-related factors and out-of-hospital cardiac arrest incidence in women and men:Analysis of a population-based cohort study in the Netherlands

Background The incidence of out-of-hospital cardiac arrest (OHCA) differs consistently between women and men. Besides sex-related (biological) factors, OHCA risk may relate to gender-related (sociocultural) factors. We explored the association of selected gender-related factors with OHCA incidence in women and men. Methods We combined data on emergency medical services-attended OHCA with individual-level data from all women and men aged ≥25 years living in North Holland, the Netherlands. We estimated the associations between employment status, primary earner status, living with children and ma... Mehr ...

Verfasser: Smits, Robin L.A.
Van Dongen, Laura H.
Blom, Marieke T.
Tan, Hanno L.
Van Valkengoed, Irene G.M.
Dokumenttyp: Artikel
Erscheinungsdatum: 2022
Reihe/Periodikum: Smits , R L A , Van Dongen , L H , Blom , M T , Tan , H L & Van Valkengoed , I G M 2022 , ' Gender-related factors and out-of-hospital cardiac arrest incidence in women and men : Analysis of a population-based cohort study in the Netherlands ' , Journal of Epidemiology and Community Health , vol. 76 , no. 9 , e218329 , pp. 800-808 . https://doi.org/10.1136/jech-2021-218329
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-27232566
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://research.vumc.nl/en/publications/e714c7c5-f575-4704-986c-9972d0af4bf0

Background The incidence of out-of-hospital cardiac arrest (OHCA) differs consistently between women and men. Besides sex-related (biological) factors, OHCA risk may relate to gender-related (sociocultural) factors. We explored the association of selected gender-related factors with OHCA incidence in women and men. Methods We combined data on emergency medical services-attended OHCA with individual-level data from all women and men aged ≥25 years living in North Holland, the Netherlands. We estimated the associations between employment status, primary earner status, living with children and marital status and the OHCA incidence with Cox proportional hazards models stratified by sex and adjusted for age and socioeconomic status. To determine if metabolic factors explain the associations, we added hypertension, diabetes mellitus and dyslipidaemia to the models. Population attributable fractions (PAF) for all gender-related factors were calculated. Results All four gender-related factors were associated with OHCA incidence (eg, unemployed vs employed; HR 1.98, 95% CI 1.67 to 2.35 in women; HR 1.60, 95% CI 1.44 to 1.79 in men). In both sexes, those unemployed, those who are not primary earners, those living without children, and married or divorced individuals had an increased OHCA risk. The PAF ranged from 4.9 to 40.3 in women and from 4.4 to 15.5 in men, with the highest PAF for employment status in both sexes. Metabolic risk factors did not explain the observed associations. Conclusion Gender-related factors were associated with risk of OHCA and contributed substantially to the OHCA burden at the population level, particularly in women. Employment status contributed most to the OHCA burden.