BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20151007T095301Z
DTSTART:20151013T150000Z
DTEND:20151013T163000Z
SUMMARY:CMIST afternoon seminar: Social network and health behaviours ine
 qualities: theory and results of the SILNE study 
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}i6w-if454pu
 4-gna232
DESCRIPTION:Abstract\n\nAlthough health behaviours\, such as smoking\, ac
 counts for a large proportion of socio-economic health inequalities\, it
  is unclear how these inequalities emerge at a young age. Hitherto\, the
  role of friendship ties has received insufficient attention. This talk 
 presents the theory of network-induced inequality by Dimaggio (2011) and
  applies it to adolescent’ health: adolescents in lower socio-economic g
 roups are more exposed to smoking by their peers (peer-effect) than thos
 e in higher socio-economic groups and\, at the same time\, are more like
 ly to befriend adolescents from similar social background (social homoph
 ily). We hypothesized that the combination of peer-effect and social hom
 ophily may contribute to socio-economic inequalities in smoking at schoo
 l. In 2013\, a social network survey (SILNE) was carried out in six medi
 um size European cities (Namur\, Tampere\, Hanover\, Latina\, Amersfoort
 \, and Coimbra) where a total of 50 schools were selected from the local
  registers. All adolescents in grades corresponding to the age group of 
 14 to 16 were invited to participate and 11\,015 adolescents were recrui
 ted (participation rate = 79.4%). A composite index of socio-economic st
 atus (SES) was computed. We analysed regular smoking according to the pe
 rcentage of smokers among an individual’s close and distant friends\, an
 d according to social homophily. \n
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:CMIST seminar room\, 2.07\, Humanities Bridgeford Street\, Manch
 ester
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