S
Stéphane Legleye
Researcher at INSEE
Publications - 121
Citations - 3233
Stéphane Legleye is an academic researcher from INSEE. The author has contributed to research in topics: Population & Cannabis. The author has an hindex of 29, co-authored 111 publications receiving 2659 citations. Previous affiliations of Stéphane Legleye include University of Paris-Sud & Université Paris-Saclay.
Papers
More filters
Journal ArticleDOI
A future vaccination campaign against COVID-19 at risk of vaccine hesitancy and politicisation
Patrick Peretti-Watel,Valérie Seror,Sébastien Cortaredona,Odile Launay,Jocelyn Raude,Pierrea Verger,Lisa Fressard,François Beck,Stéphane Legleye,Olivier l'Haridon,Damien Leger,Jeremy K. Ward +11 more
Journal ArticleDOI
Validation of the CAST, a general population Cannabis Abuse Screening Test
TL;DR: Among cannabis users whoa are low alcohol consumers, CAST presents very high sensitivity and specificity compared with the POSIT, and seems to be an efficient tool in order to screen for cannabis use disorders among adolescents and young adults.
Journal ArticleDOI
Beyond the U-curve: the relationship between sport and alcohol, cigarette and cannabis use in adolescents.
TL;DR: The U-shaped curve between the intensity of physical activities and licit and illicit drug use appeared not to be systematic and depended mainly on the product and the level of use.
Les niveaux d'usage des drogues en France en 2005
François Beck,Stéphane Legleye,Stanislas Spilka,Xavier Briffault,Arnaud Gautier,Béatrice Lamboy,Christophe Léon,Jean-Louis Wilkin +7 more
TL;DR: Les donnees du Barometre sante 2005 presentees dans ce numero de Tendances permettent d'actualiser les niveaux d'usage des differentes substances licites and illicites ; l'examen par produit est l'occasion de documenter pour la premiere fois un certain nombre de questions inedites relatives a l'alcool and au cannabis as discussed by the authors.
Journal ArticleDOI
A review of conceptual approaches and empirical evidence on probability and nonprobability sample survey research
Carina Cornesse,Annelies G. Blom,David Dutwin,Jon A. Krosnick,Edith D. de Leeuw,Stéphane Legleye,Josh Pasek,Darren Pennay,Benjamin Phillips,Joseph W. Sakshaug,Bella Struminskaya,Alexander Wenz +11 more
TL;DR: The conditions under which nonprobability sample surveys may provide accurate results in theory and empirical evidence on which types of samples produce the highest accuracy in practice are described.