Physical activity and stroke among women - A non-linear relationship.


Journal

Preventive medicine
ISSN: 1096-0260
Titre abrégé: Prev Med
Pays: United States
ID NLM: 0322116

Informations de publication

Date de publication:
09 2021
Historique:
received: 28 10 2020
revised: 05 02 2021
accepted: 22 02 2021
pubmed: 2 3 2021
medline: 4 8 2021
entrez: 1 3 2021
Statut: ppublish

Résumé

Studies have identified non-linear inverse relationships between physical activity and the risk of stroke. A U-shaped response has been observed between haemorrhagic stroke and physical activity. The objective of this study was to investigate the associations between physical activities on stroke. We used data from the E3N cohort study, a French prospective study of women initiated in 1990. From the women in the study, we included those without cardiovascular disease or cancer at baseline, resulting in 94,169 women. We assessed total physical activity in 1993, grouped as quartiles. Cox models adjusted for potential confounders were used to assess the relationship with stroke, considering cases until 2008. Splines were used to assess the shape of the response. Similarly, we then considered high and low-intensity physical activity grouped as tertiles. Among the included women, with a mean age of 51.2 ± 6.7 years, 592 cases of stroke were identified over an average follow-up time of 16.2 years. Total physical activity was associated with a lower stroke risk (HR

Identifiants

pubmed: 33647351
pii: S0091-7435(21)00069-4
doi: 10.1016/j.ypmed.2021.106485
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106485

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Auteurs

Conor James MacDonald (CJ)

INSERM (Institut National de la Santé et de la Recherche Médicale) U1018, Center for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy, Villejuif, France; Université Paris-Saclay, Université Paris-Sud, Villejuif, France.

Anne-Laure Madika (AL)

INSERM (Institut National de la Santé et de la Recherche Médicale) U1018, Center for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy, Villejuif, France; Université Paris-Saclay, Université Paris-Sud, Villejuif, France; Université de Lille, CHU Lille, EA 2694 - Santé Publique: Épidémiologie et Qualité des Soins, F-59000 Lille, France.

Roselyn Gomes (R)

INSERM (Institut National de la Santé et de la Recherche Médicale) U1018, Center for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy, Villejuif, France; Université Paris-Saclay, Université Paris-Sud, Villejuif, France.

Gianluca Severi (G)

INSERM (Institut National de la Santé et de la Recherche Médicale) U1018, Center for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy, Villejuif, France; Université Paris-Saclay, Université Paris-Sud, Villejuif, France; Department of Statistics, Computer Science, and Applications, University of Florence, Italy.

Igor Sibon (I)

CHU de Bordeaux, Department of Neurology, Institute for Neurodegenerative Diseases, F-33000, France.

Stephanie Debette (S)

CHU de Bordeaux, Department of Neurology, Institute for Neurodegenerative Diseases, F-33000, France; Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, team VINTAGE, UMR 1219, F-33000 Bordeaux, France.

Marie-Christine Boutron-Ruault (MC)

INSERM (Institut National de la Santé et de la Recherche Médicale) U1018, Center for Research in Epidemiology and Population Health (CESP), Institut Gustave Roussy, Villejuif, France; Université Paris-Saclay, Université Paris-Sud, Villejuif, France. Electronic address: christine.boutron@gustaveroussy.fr.

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