Literature DB >> 28983063

Determinants of social inequalities in stroke incidence across Europe: a collaborative analysis of 126 635 individuals from 48 cohort studies.

Marco M Ferrario1, Giovanni Veronesi1, Frank Kee2, Lloyd E Chambless3, Kari Kuulasmaa4, Torben Jørgensen5,6,7, Philippe Amouyel8, Dominique Arveiler9, Martin Bobak10, Giancarlo Cesana11, Wojciech Drygas12, Jean Ferrieres13, Simona Giampaoli14, Licia Iacoviello1,15, Yuri Nikitin16, Andrzej Pajak17, Annette Peters18, Veikko Salomaa4, Stefan Soderberg19, Abdonas Tamosiunas20, Tom Wilsgaard21, Hugh Tunstall-Pedoe22.   

Abstract

BACKGROUND: Knowledge on the origins of the social gradient in stroke incidence in different populations is limited. This study aims to estimate the burden of educational class inequalities in stroke incidence and to assess the contribution of risk factors in determining these inequalities across Europe.
MATERIALS AND METHODS: The MORGAM (MOnica Risk, Genetics, Archiving and Monograph) Study comprises 48 cohorts recruited mostly in the 1980s and 1990s in four European regions using standardised procedures for baseline risk factor assessment and fatal and non-fatal stroke ascertainment and adjudication during follow-up. Among the 126 635 middle-aged participants, initially free of cardiovascular diseases, generating 3788 first stroke events during a median follow-up of 10 years, we estimated differences in stroke rates and HRs for the least versus the most educated individuals.
RESULTS: Compared with their most educated counterparts, the overall age-adjusted excess hazard for stroke was 1.54 (95% CI 1.25 to 1.91) and 1.41 (95% CI 1.16 to 1.71) in least educated men and women, respectively, with little heterogeneity across populations. Educational class inequalities accounted for 86-413 and 78-156 additional stroke events per 100 000 person-years in the least compared with most educated men and women, respectively. The additional events were equivalent to 47%-130% and 40%-89% of the average incidence rates. Inequalities in risk factors accounted for 45%-70% of the social gap in incidence in the Nordic countries, the UK and Lithuania-Kaunas (men), but for no more than 17% in Central and South Europe. The major contributors were cigarette smoking, alcohol intake and body mass index.
CONCLUSIONS: Social inequalities in stroke incidence contribute substantially to the disease rates in Europe. Healthier lifestyles in the most disadvantaged individuals should have a prominent impact in reducing both inequalities and the stroke burden. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  cohort studies; social epidemiology; social inequalities; stroke

Mesh:

Year:  2017        PMID: 28983063     DOI: 10.1136/jech-2017-209728

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  9 in total

1.  [Influence of extreme weather conditions on the deployment volume of emergency medical services].

Authors:  C Hanefeld; R Klaaßen-Mielke; J Miebach; S Muthers; A Haschemi; H Trampisch; C Kloppe; A Matzarakis; C Krogias; C Schroeder
Journal:  Med Klin Intensivmed Notfmed       Date:  2019-12-04       Impact factor: 0.840

2.  Socioeconomic status and stroke incidence, prevalence, mortality, and worldwide burden: an ecological analysis from the Global Burden of Disease Study 2017.

Authors:  Abolfazl Avan; Hadi Digaleh; Mario Di Napoli; Saverio Stranges; Reza Behrouz; Golnaz Shojaeianbabaei; Amin Amiri; Reza Tabrizi; Naghmeh Mokhber; J David Spence; Mahmoud Reza Azarpazhooh
Journal:  BMC Med       Date:  2019-10-24       Impact factor: 8.775

3.  Educational Attainment and Ischemic Stroke: A Mendelian Randomization Study.

Authors:  Luyan Gao; Kun Wang; Qing-Bin Ni; Hongguang Fan; Lan Zhao; Lei Huang; Mingfeng Yang; Huanming Li
Journal:  Front Genet       Date:  2022-02-11       Impact factor: 4.599

4.  Social Determinants of Health (Social Risk) and Nutritional Status Among Community-Dwelling Older Adults Living in a Rural Setting: The Atahualpa Project.

Authors:  Oscar H Del Brutto; Denisse A Rumbea; Robertino M Mera; Bettsy Y Recalde; Mark J Sedler
Journal:  J Prim Care Community Health       Date:  2022 Jan-Dec

5.  Social inequities in cardiovascular risk factors in women and men by autonomous regions in Spain.

Authors:  Pedro Gullón; Julia Díez; Miguel Cainzos-Achirica; Manuel Franco; Usama Bilal
Journal:  Gac Sanit       Date:  2020-07-13       Impact factor: 2.479

6.  On the Association Between Social Determinants of Health and Disability in Stroke-Free Older Adults Living in Rural Settings. The Three Villages Study.

Authors:  Oscar H Del Brutto; Robertino M Mera; Bettsy Y Recalde; Victor J Del Brutto
Journal:  J Prim Care Community Health       Date:  2020 Jan-Dec

Review 7.  Stroke care in Italy at the time of the COVID-19 pandemic: a lesson to learn.

Authors:  Anna Bersano; Leonardo Pantoni
Journal:  J Neurol       Date:  2020-09-20       Impact factor: 4.849

8.  Social determinants of health associated with the development of sepsis in adults: a scoping review protocol.

Authors:  Christina Machon; Fatima Sheikh; Alison Fox-Robichaud
Journal:  BMJ Open       Date:  2020-10-27       Impact factor: 2.692

9.  Roles of allostatic load, lifestyle and clinical risk factors in mediating the association between education and coronary heart disease risk in Europe.

Authors:  Blánaid Hicks; Giovanni Veronesi; Marco M Ferrario; Hannah Forrest; Margaret Whitehead; Finn Diderichsen; Hugh Tunstall-Pedoe; Kari Kuulasmaa; Susana Sans; Veikko Salomaa; Barbara Thorand; Annette Peters; Stefan Soderberg; Giancarlo Cesana; Martin Bobak; Licia Iacoviello; Luigi Palmieri; Tanja Zeller; Stefan Blankenberg; Frank Kee
Journal:  J Epidemiol Community Health       Date:  2021-05-28       Impact factor: 3.710

  9 in total

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